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ORCIDXue Lin 0001
Xue (Shelley) Lin
Person information
- affiliation: Northeastern University, Boston, MA, USA
Other persons with the same name
- Xue Lin — disambiguation page
- Xue Lin 0002
![[0000-0002-9890-7318]](/post-https-dblp.org/img/orcid-mark.12x12.png "0000-0002-9890-7318")
— Qingdao University of Science and Technology, Qingdao, China - Xue Lin 0003 — Shandong University of Finance and Economics, Jinan, China
- Xue Lin 0004 — Jinhua Polytechnic, Jinhua, China
- Xue Lin 0005 — Huazhong University of Science and Technology, Wuhan, China
- Xue Lin 0006 — Nankai University, Tianjin, China
- Xue Lin 0007 — Xidian University, Xi'an, China
- Xue Lin 0008 — Beijing Jiaotong University, Beijing, China (and 1 more)
Other persons with a similar name
- Xu Lin — disambiguation page
- Xue-Lei Lin (aka: Xue-lei Lin, Xuelei Lin)
- Xudong Lin 0001 (aka: Xu-Dong Lin 0001) — South China Agricultural University, College of Informatics, Guangzhou, China
- Xudong Lin 0005 (aka: Xu-dong Lin 0005) — Shenzhen University, College of Management, China
- Lin Xu — disambiguation page
- Xiao-Lin Xu
- Lin Xu 0001 — Shanghai Em-Data Technology Company, Ltd., China (and 2 more)
- Lin Xu 0006 — ShanghaiTech University, School of Information Science and Technology, China (and 1 more)
- Lin Xu 0008 — Guangdong Pharmaceutical University, First Clinical Medicine School, Guangzhou, China (and 1 more)
- Lin Xue — disambiguation page
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2020 – today
- 2026
[j27]Dana Diaconu, Xue Lin, Michaela Blott, Miriam Leeser:
A Survey of FPGA-based 3D CNN Accelerators and Hardware-aware Algorithmic Optimizations. ACM Comput. Surv. 58(6): 155:1-155:35 (2026)- [i89]Xu Li, Simon Yu, Minzhou Pan, Yiyou Sun, Bo Li, Dawn Song, Xue Lin, Weiyan Shi:
Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents. CoRR abs/2602.13379 (2026) - [i88]Lin Zhao, Xinru Jiang, Xi Xiao, Qihui Fan, Lei Lu, Yanzhi Wang, Xue Lin, Octavia I. Camps, Pu Zhao, Jianyang Gu:
HIERAMP: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation. CoRR abs/2603.06932 (2026) - [i87]Jun Liu, Pu Zhao, Zhenglun Kong, Xuan Shen, Peiyan Dong, Fan Yang, Lin Cui, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Gaowen Liu, Yanzhi Wang, Dong Huang:
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making. CoRR abs/2603.16673 (2026) - 2025
- [j26]Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Jun Liu, Mei Zhang, Yanzhi Wang, Xue Lin, Bin Ren:
Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices. ACM Trans. Archit. Code Optim. 22(3): 104:1-104:22 (2025) - [j25]Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang:
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(4): 1406-1419 (2025) - [c136]Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang:
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. AAAI 2025: 18879-18887 - [c135]Yanyue Xie, Zhengang Li, Dana Diaconu, Suranga Handagala, Miriam Leeser, Xue Lin:
LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference. ASP-DAC 2025: 713-719 - [c134]Yize Li, Yihua Zhang, Sijia Liu, Xue Lin:
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models. ICASSP 2025: 1-5 - [c133]Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang:
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. ICASSP 2025: 1-5 - [c132]Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu:
Sparse Learning for State Space Models on Mobile. ICLR 2025 - [c131]Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin:
Taming Diffusion for Dataset Distillation with High Representativeness. ICML 2025 - [c130]Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang:
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. IJCAI 2025: 610-618 - [c129]Pu Zhao, Dani Gunawan, Xuan Shen, Zheng Zhan, Xuehang Guo, Jun Liu, Zhenglun Kong, Yanzhi Wang, Gaowen Liu, Xue Lin:
Efficient and Accurate Post-Training Sparsification of Large Language Models with Proximal Operators. RichMediaGAI@MM 2025: 11-19 - [c128]Pinrui Yu, Zhenglun Kong, Pu Zhao, Peiyan Dong, Hao Tang, Fei Sun, Xue Lin, Yanzhi Wang:
Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. WACV 2025: 5489-5499 - [c127]Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu:
Can Adversarial Examples be Parsed to Reveal Victim Model Information? WACV 2025: 7049-7061 - [i86]Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang:
RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. CoRR abs/2501.04315 (2025) - [i85]Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Tianqi Li, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang:
Structured Agent Distillation for Large Language Model. CoRR abs/2505.13820 (2025) - [i84]Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin:
Taming Diffusion for Dataset Distillation with High Representativeness. CoRR abs/2505.18399 (2025) - [i83]Juyi Lin, Amir Taherin, Arash Akbari, Arman Akbari, Lei Lu, Guangyu Chen, Taskin Padir, Xiaomeng Yang, Weiwei Chen, Yiqian Li, Xue Lin, David R. Kaeli, Pu Zhao, Yanzhi Wang:
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting. CoRR abs/2507.05116 (2025) - [i82]Jun Liu, Zhenglun Kong, Changdi Yang, Fan Yang, Tianqi Li, Peiyan Dong, Joannah Nanjekye, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang:
RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory. CoRR abs/2508.04903 (2025) - [i81]Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang:
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. CoRR abs/2508.12279 (2025) - 2024
- [j24]Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu:
Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks. Found. Trends Priv. Secur. 6(2): 53-152 (2024) - [j23]Danlin Jia, Geng Yuan, Yiming Xie, Xue Lin, Ningfang Mi:
A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. ACM Trans. Archit. Code Optim. 21(4): 83:1-83:25 (2024) - [j22]Mengshu Sun, Kaidi Xu, Xue Lin, Yongli Hu, Baocai Yin:
Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3027-3040 (2024) - [c126]Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang:
SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. DATE 2024: 1-6 - [c125]Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin:
Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection. ECCV (33) 2024: 253-270 - [c124]Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang:
Rethinking Token Reduction for State Space Models. EMNLP 2024: 1686-1697 - [c123]Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin:
Pruning Foundation Models for High Accuracy without Retraining. EMNLP (Findings) 2024: 9681-9694 - [c122]Geng Yang, Yanyue Xie, Zhong Jia Xue, Sung-En Chang, Yanyu Li, Peiyan Dong, Jie Lei, Weiying Xie, Yanzhi Wang, Xue Lin, Zhenman Fang:
SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs. FPL 2024: 264-273 - [c121]Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang:
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. ICS 2024: 324-337 - [c120]Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang:
FasterVD: On Acceleration of Video Diffusion Models. IJCAI 2024: 8838-8842 - [c119]Yiming Xie, Pinrui Yu, Geng Yuan, Xue Lin, Ningfang Mi:
Adaptive Homogeneity-Based Client Selection Policy for Federated Learning. ISNCC 2024: 1-6 - [c118]Lei Lu, Yanyue Xie, Wei Jiang, Wei Wang, Xue Lin, Yanzhi Wang:
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. ACM Multimedia 2024: 3010-3018 - [c117]Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang:
Search for Efficient Large Language Models. NeurIPS 2024 - [i80]Chenan Wang, Pu Zhao, Siyue Wang, Xue Lin:
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning. CoRR abs/2401.16766 (2024) - [i79]Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin:
Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection. CoRR abs/2403.15955 (2024) - [i78]Lei Lu, Yanyue Xie, Wei Jiang, Wei Wang, Xue Lin, Yanzhi Wang:
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. CoRR abs/2404.13372 (2024) - [i77]Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Peter Henderson, Ruoxi Jia:
JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits. CoRR abs/2406.03720 (2024) - [i76]Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang:
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. CoRR abs/2407.18175 (2024) - [i75]Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang:
SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. CoRR abs/2407.18209 (2024) - [i74]Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang:
Search for Efficient Large Language Models. CoRR abs/2409.17372 (2024) - [i73]Yize Li, Yihua Zhang, Sijia Liu, Xue Lin:
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models. CoRR abs/2409.19128 (2024) - [i72]Jun Liu, Geng Yuan, Weihao Zeng, Hao Tang, Wenbin Zhang, Xue Lin, Xiaolin Xu, Dong Huang, Yanzhi Wang:
Brain Tumor Classification on MRI in Light of Molecular Markers. CoRR abs/2409.19583 (2024) - [i71]Yanyue Xie, Zhi Zhang, Ding Zhou, Cong Xie, Ziang Song, Xin Liu, Yanzhi Wang, Xue Lin, An Xu:
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router. CoRR abs/2410.12013 (2024) - [i70]Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang:
Rethinking Token Reduction for State Space Models. CoRR abs/2410.14725 (2024) - [i69]Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin:
Pruning Foundation Models for High Accuracy without Retraining. CoRR abs/2410.15567 (2024) - [i68]Yanyue Xie, Zhengang Li, Dana Diaconu, Suranga Handagala, Miriam Leeser, Xue Lin:
LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference. CoRR abs/2411.11852 (2024) - 2023
- [j21]Paul D. S. Fink, Stacy A. Doore, Xue Lin, Matthew Maring, Pu Zhao, Aubree Nygaard, Grant Beals, Richard R. Corey, Raymond J. Perry, Katherine Freund, Velin Dimitrov, Nicholas A. Giudice:
The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation. Int. J. Hum. Comput. Stud. 179: 103125 (2023) - [c116]Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Less is More: Data Pruning for Faster Adversarial Training. SafeAI@AAAI 2023 - [c115]Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang:
Towards Real-Time Segmentation on the Edge. AAAI 2023: 1468-1476 - [c114]Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang:
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. CVPR 2023: 15402-15412 - [c113]Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin:
Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. DAC 2023: 1-2 - [c112]Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang:
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE 2023: 1-6 - [c111]Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang:
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. HPCA 2023: 442-455 - [c110]Dana Diaconu, Yanyue Xie, Mehmet Güngör, Suranga Handagala, Xue Lin, Miriam Leeser:
Machine Learning Across Network-Connected FPGAs. HPEC 2023: 1-7 - [c109]Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang:
Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. ICCAD 2023: 1-9 - [c108]Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia:
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. USENIX Security Symposium 2023: 2725-2742 - [i67]Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia:
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. CoRR abs/2302.11408 (2023) - [i66]Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Less is More: Data Pruning for Faster Adversarial Training. CoRR abs/2302.12366 (2023) - [i65]Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu:
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? CoRR abs/2303.07474 (2023) - [i64]Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu:
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. CoRR abs/2309.13302 (2023) - [i63]Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu:
Pursing the Sparse Limitation of Spiking Deep Learning Structures. CoRR abs/2311.12060 (2023) - 2022
- [j20]Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6224-6239 (2022) - [j19]Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang:
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Trans. Embed. Comput. Syst. 21(5): 65:1-65:22 (2022) - [j18]Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang:
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2259-2273 (2022) - [j17]Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang:
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33(9): 4930-4944 (2022) - [j16]Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang:
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Trans. Design Autom. Electr. Syst. 27(5): 47:1-47:26 (2022) - [c107]Danlin Jia, Geng Yuan, Xue Lin, Ningfang Mi:
A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. CLOUD 2022: 449-458 - [c106]Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. DAC 2022: 1394-1395 - [c105]Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang:
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC 2022: 1396-1397 - [c104]Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura:
Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. DATE 2022: 424-429 - [c103]Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang:
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. FPGA 2022: 134-145 - [c102]Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. FPL 2022: 109-116 - [c101]Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu:
Reverse Engineering of Imperceptible Adversarial Image Perturbations. ICLR 2022 - [c100]Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang:
FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. ICME Workshops 2022: 1-4 - [c99]Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu:
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. IJCAI 2022: 1714-1720 - [c98]Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen:
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. IJCAI 2022: 3236-3242 - [c97]Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED 2022: 1-8 - [c96]Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. WACV (Workshops) 2022: 645-655 - [i62]Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu:
Reverse Engineering of Imperceptible Adversarial Image Perturbations. CoRR abs/2203.14145 (2022) - [i61]Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen:
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. CoRR abs/2206.01198 (2022) - [i60]Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang:
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate. CoRR abs/2207.04090 (2022) - [i59]Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. CoRR abs/2208.05163 (2022) - [i58]Hao Cheng, Pu Zhao, Yize Li, Xue Lin, James Diffenderfer, Ryan A. Goldhahn, Bhavya Kailkhura:
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed. CoRR abs/2209.12839 (2022) - [i57]Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang:
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. CoRR abs/2211.08110 (2022) - 2021
- [j15]Bhavya Kailkhura, Pin-Yu Chen, Xue Lin, Bo Li:
Editorial: Safe and Trustworthy Machine Learning. Frontiers Big Data 4: 731605 (2021) - [c95]Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren:
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. AAAI 2021: 9179-9187 - [c94]Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang:
Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. ASP-DAC 2021: 581-586 - [c93]Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin:
Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. BMVC 2021: Article 46 - [c92]Jun Liu, Feng Deng, Geng Yuan, Xue Lin, Houbing Song, Yanzhi Wang:
An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI. CECNet 2021: 306-314 - [c91]Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin:
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CVPR 2021: 14255-14266 - [c90]Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin:
Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. DAC 2021: 835-840 - [c89]Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin:
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA 2021: 208-220 - [c88]Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV 2021: 4801-4811 - [c87]Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. ICCV 2021: 5231-5240 - [c86]Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh:
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. ICLR 2021 - [c85]Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. IJCAI 2021: 575-582 - [c84]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS 2021: 20838-20850 - [c83]Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. NeurIPS 2021: 29909-29921 - [c82]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. RTAS 2021: 425-428 - [c81]Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang:
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS 2021: 493-496 - [c80]Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. SP (Workshops) 2021: 244 - [c79]Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen:
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. USENIX Security Symposium 2021: 3309-3326 - [i56]Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. CoRR abs/2103.06624 (2021) - [i55]Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. CoRR abs/2104.10586 (2021) - [i54]Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
High-Robustness, Low-Transferability Fingerprinting of Neural Networks. CoRR abs/2105.07078 (2021) - [i53]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin:
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. CoRR abs/2106.14943 (2021) - [i52]Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR abs/2108.08910 (2021) - [i51]Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity. CoRR abs/2108.11033 (2021) - [i50]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR abs/2110.14032 (2021) - [i49]Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. CoRR abs/2111.00153 (2021) - [i48]Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin:
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. CoRR abs/2111.00155 (2021) - [i47]Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang:
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR abs/2111.11581 (2021) - 2020
- [j14]Shi Dong, Pu Zhao, Xue Lin, David R. Kaeli:
Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. Parallel Comput. 100: 102701 (2020) - [c78]Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. AAAI 2020: 5117-5124 - [c77]Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel:
Towards Certificated Model Robustness Against Weight Perturbations. AAAI 2020: 6356-6363 - [c76]Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin:
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. AAAI 2020: 6909-6916 - [c75]Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. ASPLOS 2020: 907-922 - [c74]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. DAC 2020: 1-6 - [c73]Mengshu Sun, Pu Zhao, Mehmet Güngör, Massoud Pedram, Miriam Leeser, Xue Lin:
3D CNN Acceleration on FPGA using Hardware-Aware Pruning. DAC 2020: 1-6 - [c72]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) 2020: 665-681 - [c71]Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang:
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. ACM Great Lakes Symposium on VLSI 2020: 119-124 - [c70]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. ICASSP 2020: 2902-2906 - [c69]Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin:
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. ICASSP 2020: 8479-8483 - [c68]Cheng Gongye, Hongjia Li, Xiang Zhang, Majid Sabbagh, Geng Yuan, Xue Lin, Thomas Wahl, Yunsi Fei:
New Passive and Active Attacks on Deep Neural Networks in Medical Applications. ICCAD 2020: 39:1-39:9 - [c67]Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin:
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. ICLR 2020 - [c66]Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren:
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. IJCAI 2020: 5306-5308 - [c65]Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. NeurIPS 2020 - [i46]Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. CoRR abs/2001.00138 (2020) - [i45]Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. CoRR abs/2001.08357 (2020) - [i44]Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin:
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. CoRR abs/2002.07891 (2020) - [i43]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
Block Switching: A Stochastic Approach for Deep Learning Security. CoRR abs/2002.07920 (2020) - [i42]Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. CoRR abs/2002.08439 (2020) - [i41]Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin:
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. CoRR abs/2002.10947 (2020) - [i40]Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao:
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. CoRR abs/2002.11474 (2020) - [i39]Hao Cheng, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, Xue Lin:
Defending against Backdoor Attack on Deep Neural Networks. CoRR abs/2002.12162 (2020) - [i38]Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis on General Computational Graphs. CoRR abs/2002.12920 (2020) - [i37]Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. CoRR abs/2003.01782 (2020) - [i36]Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin:
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. CoRR abs/2003.06513 (2020) - [i35]Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren:
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. CoRR abs/2004.11250 (2020) - [i34]Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin:
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. CoRR abs/2005.00060 (2020) - [i33]Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren:
Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. CoRR abs/2007.09835 (2020) - [i32]Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen:
Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. CoRR abs/2009.06701 (2020) - [i31]Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang:
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. CoRR abs/2009.07460 (2020) - [i30]Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin:
Learned Fine-Tuner for Incongruous Few-Shot Learning. CoRR abs/2009.13714 (2020) - [i29]Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh:
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. CoRR abs/2011.13824 (2020) - [i28]Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin:
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CoRR abs/2012.00596 (2020) - [i27]Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin:
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. CoRR abs/2012.04240 (2020) - [i26]Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney:
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework. CoRR abs/2012.11518 (2020) - [i25]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. CoRR abs/2012.13801 (2020)
2010 – 2019
- 2019
- [j13]Siyu Liao, Yi Xie, Xue Lin, Yanzhi Wang, Min Zhang, Bo Yuan:
Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression. IEEE Trans. Sustain. Comput. 4(2): 245-251 (2019) - [c64]Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin:
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. AAAI 2019: 5369-5376 - [c63]Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin:
ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. ASP-DAC 2019: 499-505 - [c62]Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang:
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS 2019: 925-938 - [c61]Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen:
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CVPR 2019: 860-868 - [c60]Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin:
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. DAC 2019: 165 - [c59]Mengshu Sun, Pu Zhao, Yanzhi Wang, Naehyuck Chang, Xue Lin:
HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 81-86 - [c58]Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang:
ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI 2019: 501-506 - [c57]Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA 2019: 69-80 - [c56]Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang:
Adversarial Robustness vs. Model Compression, or Both? ICCV 2019: 111-120 - [c55]Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin:
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. ICCV 2019: 121-130 - [c54]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) 2019 - [c53]Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin:
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. IJCAI 2019: 3961-3967 - [c52]Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. IJCAI 2019: 6013-6019 - [c51]Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox:
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. NeurIPS 2019: 7202-7213 - [i24]Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang:
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR abs/1903.09769 (2019) - [i23]Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin:
Second Rethinking of Network Pruning in the Adversarial Setting. CoRR abs/1903.12561 (2019) - [i22]Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin:
Interpreting Adversarial Examples by Activation Promotion and Suppression. CoRR abs/1904.02057 (2019) - [i21]Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin:
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. CoRR abs/1905.12032 (2019) - [i20]Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin:
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. CoRR abs/1906.04214 (2019) - [i19]Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma:
Non-structured DNN Weight Pruning Considered Harmful. CoRR abs/1907.02124 (2019) - [i18]Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin:
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method. CoRR abs/1907.11684 (2019) - [i17]Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin:
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. CoRR abs/1908.07116 (2019) - [i16]Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices. CoRR abs/1909.05073 (2019) - [i15]Fu-Ming Guo, Sijia Liu, Finlay S. Mungall, Xue Lin, Yanzhi Wang:
Reweighted Proximal Pruning for Large-Scale Language Representation. CoRR abs/1909.12486 (2019) - [i14]Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox:
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. CoRR abs/1910.06513 (2019) - [i13]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Evading Real-Time Person Detectors by Adversarial T-shirt. CoRR abs/1910.11099 (2019) - 2018
- [j12]Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Xue Lin:
Reconfigurable Photovoltaic Systems for Electric Vehicles. IEEE Des. Test 35(6): 37-43 (2018) - [j11]Hongjia Li, Ruizhe Cai, Ning Liu, Xue Lin, Yanzhi Wang:
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. Nano Commun. Networks 16: 81-90 (2018) - [j10]Jaemin Kim, Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Xue Lin, Yanzhi Wang, Youngjin Cho, Sang Hyun Park, Naehyuck Chang:
Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations. IEEE Trans. Very Large Scale Integr. Syst. 26(7): 1241-1253 (2018) - [c50]Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI 2018: 4235-4243 - [c49]Pu Zhao, Yanzhi Wang, Naehyuck Chang, Qi Zhu, Xue Lin:
A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. ASP-DAC 2018: 196-202 - [c48]Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang:
Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. DATE 2018: 877-880 - [c47]Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin:
Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. GlobalSIP 2018: 1144-1148 - [c46]Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin:
Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. GlobalSIP 2018: 1169-1173 - [c45]Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD 2018: 71:1-71:8 - [c44]Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin:
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. ACM Multimedia 2018: 1065-1073 - [i12]Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR abs/1802.06402 (2018) - [i11]Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin:
On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks. CoRR abs/1803.05391 (2018) - [i10]Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang:
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators. CoRR abs/1804.01574 (2018) - [i9]Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin:
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. CoRR abs/1804.03193 (2018) - [i8]Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang:
ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. CoRR abs/1807.11091 (2018) - [i7]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR abs/1808.01664 (2018) - [i6]Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR abs/1809.05165 (2018) - [i5]Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang:
Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR abs/1810.07378 (2018) - [i4]Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang:
A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. CoRR abs/1811.01907 (2018) - [i3]Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR abs/1812.07106 (2018) - [i2]Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang:
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR abs/1812.11677 (2018) - 2017
- [j9]Ji Li, Xue Lin, Shahin Nazarian, Massoud Pedram:
CTS2M: concurrent task scheduling and storage management for residential energy consumers under dynamic energy pricing. IET Cyper-Phys. Syst.: Theory & Appl. 2(3): 111-117 (2017) - [j8]Pu Zhao, Xue Lin, Yanzhi Wang, Shuang Chen, Massoud Pedram:
Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model. IET Cyper-Phys. Syst.: Theory & Appl. 2(3): 118-126 (2017) - [c43]Caiwen Ding, Ji Li, Weiwei Zheng, Naehyuck Chang, Xue Lin, Yanzhi Wang:
Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. ASP-DAC 2017: 318-323 - [c42]Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan:
Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. ICCAD 2017: 458-465 - [c41]Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Jaemin Kim, Xue Lin, Yanzhi Wang, Naehyuck Chang:
Reconfigurable thermoelectric generators for vehicle radiators energy harvesting. ISLPED 2017: 1-6 - [c40]Hongjia Li, Ji Li, Wang Yao, Shahin Nazarian, Xue Lin, Yanzhi Wang:
Fast and energy-aware resource provisioning and task scheduling for cloud systems. ISQED 2017: 174-179 - [c39]Ning Liu, Xue Lin, Yanzhi Wang:
Data center power management for regulation service using neural network-based power prediction. ISQED 2017: 367-372 - [c38]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 2017: 395-408 - [i1]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR abs/1708.08917 (2017) - 2016
- [j7]Xue Lin, Yanzhi Wang, Naehyuck Chang, Massoud Pedram:
Concurrent Task Scheduling and Dynamic Voltage and Frequency Scaling in a Real-Time Embedded System With Energy Harvesting. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(11): 1890-1902 (2016) - [c37]Xue Lin, Massoud Pedram, Jian Tang, Yanzhi Wang:
A Profit Optimization Framework of Energy Storage Devices in Data Centers: Hierarchical Structure and Hybrid Types. CLOUD 2016: 640-647 - [c36]Xue Lin, Yanzhi Wang, Massoud Pedram:
A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers. IC2E 2016: 135-138 - [c35]Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram:
Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. ICCD 2016: 241-248 - [c34]Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Naehyuck Chang, Xue Lin:
Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles. ICCD 2016: 281-288 - [c33]Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Negotiation-based resource provisioning and task scheduling algorithm for cloud systems. ISQED 2016: 338-343 - 2015
- [j6]Qing Xie, Xue Lin, Yanzhi Wang, Shuang Chen, Mohammad Javad Dousti, Massoud Pedram:
Performance Comparisons Between 7-nm FinFET and Conventional Bulk CMOS Standard Cell Libraries. IEEE Trans. Circuits Syst. II Express Briefs 62-II(8): 761-765 (2015) - [j5]Xue Lin, Yanzhi Wang, Qing Xie, Massoud Pedram:
Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment. IEEE Trans. Serv. Comput. 8(2): 175-186 (2015) - [c32]Shuo Wang, Yanzhi Wang, Xue Lin, Massoud Pedram:
Hierarchical Deployment and Control of Energy Storage Devices in Data Centers. CLOUD 2015: 805-812 - [c31]Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices. ASP-DAC 2015: 261-266 - [c30]Chenxiao Guan, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Reinforcement learning-based control of residential energy storage systems for electric bill minimization. CCNC 2015: 637-642 - [c29]Yanzhi Wang, Xue Lin, Massoud Pedram, Naehyuck Chang:
Joint automatic control of the powertrain and auxiliary systems to enhance the electromobility in hybrid electric vehicles. DAC 2015: 147:1-147:6 - [c28]Xue Lin, Yanzhi Wang, Massoud Pedram, Jaemin Kim, Naehyuck Chang:
Event-driven and sensorless photovoltaic system reconfiguration for electric vehicles. DATE 2015: 19-24 - [c27]Xue Lin, Paul Bogdan, Naehyuck Chang, Massoud Pedram:
Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost. ICCAD 2015: 627-634 - [c26]Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram:
Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model. Intelligent Vehicles Symposium 2015: 718-723 - 2014
- [j4]Xue Lin, Yanzhi Wang, Massoud Pedram, Jaemin Kim, Naehyuck Chang:
Designing Fault-Tolerant Photovoltaic Systems. IEEE Des. Test 31(3): 76-84 (2014) - [j3]Yanzhi Wang, Xue Lin, Younghyun Kim, Naehyuck Chang, Massoud Pedram:
Architecture and Control Algorithms for Combating Partial Shading in Photovoltaic Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(6): 917-930 (2014) - [j2]Yanzhi Wang, Xue Lin, Massoud Pedram:
Adaptive Control for Energy Storage Systems in Households With Photovoltaic Modules. IEEE Trans. Smart Grid 5(2): 992-1001 (2014) - [j1]Yanzhi Wang, Xue Lin, Younghyun Kim, Qing Xie, Massoud Pedram, Naehyuck Chang:
Single-Source, Single-Destination Charge Migration in Hybrid Electrical Energy Storage Systems. IEEE Trans. Very Large Scale Integr. Syst. 22(12): 2752-2765 (2014) - [c25]Xue Lin, Yanzhi Wang, Qing Xie, Massoud Pedram:
Energy and Performance-Aware Task Scheduling in a Mobile Cloud Computing Environment. IEEE CLOUD 2014: 192-199 - [c24]Tiansong Cui, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Semi-analytical current source modeling of FinFET devices operating in near/sub-threshold regime with independent gate control and considering process variation. ASP-DAC 2014: 167-172 - [c23]Yanzhi Wang, Xue Lin, Qing Xie, Naehyuck Chang, Massoud Pedram:
Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles. DATE 2014: 1-4 - [c22]Yue Fu, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram:
Energy optimal sizing of FinFET standard cells operating in multiple voltage regimes using adaptive independent gate control. ACM Great Lakes Symposium on VLSI 2014: 73-74 - [c21]Yanzhi Wang, Xue Lin, Massoud Pedram:
Optimal power switch design methodology for ultra dynamic voltage scaling with a limited number of power rails. ACM Great Lakes Symposium on VLSI 2014: 323-328 - [c20]Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram:
Reinforcement learning based power management for hybrid electric vehicles. ICCAD 2014: 32-38 - [c19]Xue Lin, Yanzhi Wang, Naehyuck Chang, Massoud Pedram:
Power supply and consumption co-optimization of portable embedded systems with hybrid power supply. ICCD 2014: 477-482 - [c18]Yanzhi Wang, Xue Lin, Massoud Pedram:
Coordination of the smart grid and distributed data centers: A nested game-based optimization framework. ISGT 2014: 1-5 - [c17]Xue Lin, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
An improved logical effort model and framework applied to optimal sizing of circuits operating in multiple supply voltage regimes. ISQED 2014: 249-256 - [c16]Xue Lin, Yanzhi Wang, Massoud Pedram:
Stack sizing analysis and optimization for FinFET logic cells and circuits operating in the sub/near-threshold regime. ISQED 2014: 341-348 - [c15]Alireza Shafaei, Yanzhi Wang, Xue Lin, Massoud Pedram:
FinCACTI: Architectural Analysis and Modeling of Caches with Deeply-Scaled FinFET Devices. ISVLSI 2014: 290-295 - [c14]Qing Xie, Xue Lin, Yanzhi Wang, Mohammad Javad Dousti, Alireza Shafaei, Majid Ghasemi-Gol, Massoud Pedram:
5nm FinFET Standard Cell Library Optimization and Circuit Synthesis in Near-and Super-Threshold Voltage Regimes. ISVLSI 2014: 424-429 - 2013
- [c13]Xue Lin, Yanzhi Wang, Massoud Pedram:
An optimal control policy in a mobile cloud computing system based on stochastic data. CloudNet 2013: 117-122 - [c12]Yanzhi Wang, Xue Lin, Massoud Pedram, Sangyoung Park, Naehyuck Chang:
Optimal control of a grid-connected hybrid electrical energy storage system for homes. DATE 2013: 881-886 - [c11]Yanzhi Wang, Xue Lin, Massoud Pedram, Jaemin Kim, Naehyuck Chang:
Capital cost-aware design and partial shading-aware architecture optimization of a reconfigurable photovoltaic system. DATE 2013: 909-912 - [c10]Xue Lin, Yanzhi Wang, Massoud Pedram:
Joint sizing and adaptive independent gate control for FinFET circuits operating in multiple voltage regimes using the logical effort method. ICCAD 2013: 444-449 - [c9]Yanzhi Wang, Xue Lin, Massoud Pedram:
A sequential game perspective and optimization of the smart grid with distributed data centers. ISGT 2013: 1-6 - [c8]Xue Lin, Yanzhi Wang, Siyu Yue, Naehyuck Chang, Massoud Pedram:
A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting. ISLPED 2013: 70-75 - [c7]Yanzhi Wang, Maryam Triki, Xue Lin, Ahmed Chiheb Ammari, Massoud Pedram:
Hierarchical dynamic power management using model-free reinforcement learning. ISQED 2013: 170-177 - [c6]Yanzhi Wang, Xue Lin, Massoud Pedram:
A Nested Two Stage Game-Based Optimization Framework in Mobile Cloud Computing System. SOSE 2013: 494-502 - 2012
- [c5]Xue Lin, Yanzhi Wang, Siyu Yue, Donghwa Shin, Naehyuck Chang, Massoud Pedram:
Near-optimal, dynamic module reconfiguration in a photovoltaic system to combat partial shading effects. DAC 2012: 516-521 - [c4]Qing Xie, Xue Lin, Yanzhi Wang, Massoud Pedram, Donghwa Shin, Naehyuck Chang:
State of health aware charge management in hybrid electrical energy storage systems. DATE 2012: 1060-1065 - [c3]Xue Lin, Yanzhi Wang, Di Zhu, Naehyuck Chang, Massoud Pedram:
Online fault detection and tolerance for photovoltaic energy harvesting systems. ICCAD 2012: 1-6 - [c2]Yanzhi Wang, Xue Lin, Naehyuck Chang, Massoud Pedram:
Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles. ISLPED 2012: 109-114 - [c1]Yanzhi Wang, Xue Lin, Younghyun Kim, Naehyuck Chang, Massoud Pedram:
Enhancing efficiency and robustness of a photovoltaic power system under partial shading. ISQED 2012: 592-600
Coauthor Index
[i88] [i87] [j26] [j25] [c136] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [i86] [i85] [i84] [i83] [i82] [i81] [c126] [c124] [c123] [c122] [c121] [c120] [c118] [c117] [i78] [i76] [i75] [i74] [i72] [i71] [i70] [i69] [c115] [c114] [c112] [c111] [c109] [i65] [j20] [j19] [j18] [j17] [j16] [c105] [c98] [c97] [i61] [i57] [c95] [c94] [c92] [c91] [c90] [c89] [c88] [c87] [c84] [c82] [c81] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [c78] [c75] [c72] [c71] [c66] [i46] [i45] [i40] [i36] [i35] [i33] [i31] [i28] [i27] [i25] [j13] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c54] [c52] [i24] [i23] [i21] [i19] [i17] [i16] [i15] [i13] [j12] [j11] [j10] [c50] [c49] [c46] [c44] [i12] [i11] [i9] [i8] [i7] [i5] [i4] [i3] [i2] [j8] [c43] [c42] [c41] [c40] [c39] [c38] [i1] [j7] [c37] [c36] [c35] [c34] [c33] [j6] [j5] [c32] [c31] [c30] [c29] [c28] [c26] [j4] [j3] [j2] [j1] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[i88] [i87] [j25] [c136] [c133] [c132] [c131] [c130] [c129] [c128] [i86] [i85] [i84] [i83] [i82] [i81] [c124] [c123] [c120] [c117] [i80] [i74] [i70] [i69] [j21] [c116] [c115] [c114] [i66] [i64] [j16] [c99] [c98] [c97] [c96] [i61] [i58] [c93] [c91] [c90] [c88] [c85] [c82] [i54] [i53] [i52] [i47] [j14] [c77] [c76] [c73] [c67] [c66] [i45] [i44] [i39] [i36] [i35] [i34] [i30] [i28] [i25] [c63] [c60] [c59] [c55] [c54] [i22] [i21] [i18] [c49] [c47] [c46] [c45] [c44] [i9] [i7] [i6] [j8]
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