Xue Lin - RankMe

251 papers A* 53A 27B 7C 4Misc 4Journal 116Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of FPGA-based 3D CNN Accelerators and Hardware-aware Algorithmic Optimizations. ACM Comput. Surv. Dana Diaconu, Xue Lin, Michaela Blott, Miriam Leeser
2026	J	`jnl`	HIERAMP: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation. CoRR Lin Zhao, Xinru Jiang, Xi Xiao, Qihui Fan, Lei Lu, Yanzhi Wang, Xue Lin, Octavia I. Camps, Pu Zhao, Jianyang Gu
2026	J	`jnl`	Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents. CoRR Xu Li, Simon Yu, Minzhou Pan, Yiyou Sun, Bo Li, Dawn Song, Xue Lin, Weiyan Shi
2026	J	`jnl`	When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making. CoRR 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
2025	A	`conf`	Can Adversarial Examples be Parsed to Reveal Victim Model Information? WACV Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu
2025	A*	`conf`	FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. IJCAI 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
2025	—	`conf`	LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference. ASP-DAC Yanyue Xie, Zhengang Li, Dana Diaconu, Suranga Handagala, Miriam Leeser, Xue Lin
2025	J	`jnl`	Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices. ACM Trans. Archit. Code Optim. Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Jun Liu, Mei Zhang, Yanzhi Wang, Xue Lin, Bin Ren
2025	Misc	`conf`	Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models. ICASSP Yize Li, Yihua Zhang, Sijia Liu, Xue Lin
2025	A	`conf`	Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. WACV Pinrui Yu, Zhenglun Kong, Pu Zhao, Peiyan Dong, Hao Tang, Fei Sun, Xue Lin, Yanzhi Wang
2025	J	`jnl`	RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory. CoRR 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
2025	Misc	`conf`	RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. ICASSP Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang
2025	J	`jnl`	RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. CoRR 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
2025	A*	`conf`	Sparse Learning for State Space Models on Mobile. ICLR Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu
2025	J	`jnl`	Structured Agent Distillation for Large Language Model. CoRR 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
2025	J	`jnl`	TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. CoRR Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang
2025	J	`jnl`	TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jun Liu, Zhenglun Kong, Pu Zhao, Weihao Zeng, Hao Tang, Xuan Shen, Changdi Yang, Wenbin Zhang, Geng Yuan, Wei Niu, Xue Lin, Yanzhi Wang
2025	A*	`conf`	Taming Diffusion for Dataset Distillation with High Representativeness. ICML Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin
2025	J	`jnl`	Taming Diffusion for Dataset Distillation with High Representativeness. CoRR Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin
2025	A*	`conf`	Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. AAAI Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang
2025	J	`jnl`	VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting. CoRR 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
2024	J	`jnl`	A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. ACM Trans. Archit. Code Optim. Danlin Jia, Geng Yuan, Yiming Xie, Xue Lin, Ningfang Mi
2024	C	`conf`	Adaptive Homogeneity-Based Client Selection Policy for Federated Learning. ISNCC Yiming Xie, Pinrui Yu, Geng Yuan, Xue Lin, Ningfang Mi
2024	J	`jnl`	Brain Tumor Classification on MRI in Light of Molecular Markers. CoRR Jun Liu, Geng Yuan, Weihao Zeng, Hao Tang, Wenbin Zhang, Xue Lin, Xiaolin Xu, Dong Huang, Yanzhi Wang
2024	J	`jnl`	Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning. CoRR Chenan Wang, Pu Zhao, Siyue Wang, Xue Lin
2024	A*	`conf`	FasterVD: On Acceleration of Video Diffusion Models. IJCAI Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang
2024	—	`conf`	Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection. ECCV (33) Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin
2024	J	`jnl`	Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection. CoRR Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin
2024	J	`jnl`	Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mengshu Sun, Kaidi Xu, Xue Lin, Yongli Hu, Baocai Yin
2024	A*	`conf`	HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. ACM Multimedia Lei Lu, Yanyue Xie, Wei Jiang, Wei Wang, Xue Lin, Yanzhi Wang
2024	J	`jnl`	HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. CoRR Lei Lu, Yanyue Xie, Wei Jiang, Wei Wang, Xue Lin, Yanzhi Wang
2024	J	`jnl`	JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits. CoRR Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Peter Henderson, Ruoxi Jia
2024	J	`jnl`	LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference. CoRR Yanyue Xie, Zhengang Li, Dana Diaconu, Suranga Handagala, Miriam Leeser, Xue Lin
2024	J	`jnl`	MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router. CoRR Yanyue Xie, Zhi Zhang, Ding Zhou, Cong Xie, Ziang Song, Xin Liu, Yanzhi Wang, Xue Lin, An Xu
2024	—	`conf`	Pruning Foundation Models for High Accuracy without Retraining. EMNLP (Findings) Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin
2024	J	`jnl`	Pruning Foundation Models for High Accuracy without Retraining. CoRR Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin
2024	J	`jnl`	Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models. CoRR Yize Li, Yihua Zhang, Sijia Liu, Xue Lin
2024	A	`conf`	Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. ICS 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
2024	J	`jnl`	Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. CoRR 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
2024	A*	`conf`	Rethinking Token Reduction for State Space Models. EMNLP Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	Rethinking Token Reduction for State Space Models. CoRR Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks. Found. Trends Priv. Secur. Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu
2024	B	`conf`	SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs. FPL Geng Yang, Yanyue Xie, Zhong Jia Xue, Sung-En Chang, Yanyu Li, Peiyan Dong, Jie Lei, Weiying Xie, Yanzhi Wang, Xue Lin, Zhenman Fang
2024	A*	`conf`	Search for Efficient Large Language Models. NeurIPS Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang
2024	J	`jnl`	Search for Efficient Large Language Models. CoRR Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang
2024	A	`conf`	SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. DATE 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
2024	J	`jnl`	SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. CoRR 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
2023	A*	`conf`	ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. USENIX Security Symposium Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia
2023	J	`jnl`	ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. CoRR Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia
2023	J	`jnl`	Can Adversarial Examples Be Parsed to Reveal Victim Model Information? CoRR Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu
2023	A	`conf`	ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE 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
2023	A	`conf`	Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. ICCAD Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin, Yanzhi Wang
2023	J	`jnl`	Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. CoRR Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
2023	A*	`conf`	HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. HPCA Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
2023	A*	`conf`	Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. DAC Changdi Yang, Yi Sheng, Peiyan Dong, Zhenglun Kong, Yanyu Li, Pinrui Yu, Lei Yang, Xue Lin
2023	—	`conf`	Less is More: Data Pruning for Faster Adversarial Training. SafeAI@AAAI Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
2023	J	`jnl`	Less is More: Data Pruning for Faster Adversarial Training. CoRR Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
2023	—	`conf`	Machine Learning Across Network-Connected FPGAs. HPEC Dana Diaconu, Yanyue Xie, Mehmet Güngör, Suranga Handagala, Xue Lin, Miriam Leeser
2023	A*	`conf`	Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. CVPR Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang
2023	J	`jnl`	Pursing the Sparse Limitation of Spiking Deep Learning Structures. CoRR Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
2023	J	`jnl`	The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation. Int. J. Hum. Comput. Stud. 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
2023	A*	`conf`	Towards Real-Time Segmentation on the Edge. AAAI Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang
2022	B	`conf`	A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. CLOUD Danlin Jia, Geng Yuan, Xue Lin, Ningfang Mi
2022	B	`conf`	Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. FPL Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022	J	`jnl`	Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. CoRR Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022	J	`jnl`	Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Trans. Design Autom. Electr. Syst. Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2022	—	`conf`	BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED 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
2022	J	`jnl`	Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed. CoRR Hao Cheng, Pu Zhao, Yize Li, Xue Lin, James Diffenderfer, Ryan A. Goldhahn, Bhavya Kailkhura
2022	J	`jnl`	FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate. CoRR Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang
2022	—	`conf`	FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. ICME Workshops Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang
2022	A	`conf`	FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. FPGA Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang
2022	A*	`conf`	FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. DAC Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang
2022	A	`conf`	Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. DATE Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura
2022	J	`jnl`	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. Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2022	A*	`conf`	Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC 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
2022	J	`jnl`	HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. CoRR Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang
2022	A*	`conf`	Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. IJCAI Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu
2022	J	`jnl`	Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Trans. Embed. Comput. Syst. 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
2022	—	`conf`	More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. WACV (Workshops) Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
2022	J	`jnl`	Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 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
2022	A*	`conf`	Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. IJCAI Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen
2022	J	`jnl`	Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. CoRR Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen
2022	A*	`conf`	Reverse Engineering of Imperceptible Adversarial Image Perturbations. ICLR Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu
2022	J	`jnl`	Reverse Engineering of Imperceptible Adversarial Image Perturbations. CoRR Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu
2022	J	`jnl`	StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang
2021	J	`jnl`	Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. CoRR Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin
2021	A*	`conf`	Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV 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
2021	J	`jnl`	Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR 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
2021	—	`conf`	An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI. CECNet Jun Liu, Feng Deng, Geng Yuan, Xue Lin, Houbing Song, Yanzhi Wang
2021	J	`jnl`	Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2021	J	`jnl`	Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. CoRR Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
2021	A*	`conf`	Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. NeurIPS Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
2021	A	`conf`	Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. RTAS Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
2021	A*	`conf`	Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. IJCAI Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
2021	—	`conf`	Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. SP (Workshops) Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
2021	A*	`conf`	Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. USENIX Security Symposium Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen
2021	J	`jnl`	Editorial: Safe and Trustworthy Machine Learning. Frontiers Big Data Bhavya Kailkhura, Pin-Yu Chen, Xue Lin, Bo Li
2021	A*	`conf`	Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. ICLR Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh
2021	J	`jnl`	GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity. CoRR Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2021	J	`jnl`	High-Robustness, Low-Transferability Fingerprinting of Neural Networks. CoRR Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
2021	J	`jnl`	ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. CoRR Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin
2021	A	`conf`	Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. BMVC Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin
2021	A*	`conf`	MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS 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
2021	J	`jnl`	MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR 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
2021	A*	`conf`	Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin
2021	J	`jnl`	Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. CoRR Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
2021	A*	`conf`	NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CVPR 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
2021	A*	`conf`	Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. DAC Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin
2021	A*	`conf`	RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. ICCV Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
2021	J	`jnl`	RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. CoRR Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
2021	A*	`conf`	RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. AAAI Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren
2021	—	`conf`	Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. ASP-DAC Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang
2021	A	`conf`	Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2020	A*	`conf`	3D CNN Acceleration on FPGA using Hardware-Aware Pruning. DAC Mengshu Sun, Pu Zhao, Mehmet Güngör, Massoud Pedram, Miriam Leeser, Xue Lin
2020	J	`jnl`	6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CoRR 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
2020	J	`jnl`	A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. CoRR Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin
2020	—	`conf`	A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. ACM Great Lakes Symposium on VLSI Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang
2020	J	`jnl`	Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. CoRR Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren
2020	J	`jnl`	Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. CoRR Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
2020	Misc	`conf`	AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. ICASSP Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020	J	`jnl`	AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks. CoRR Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020	—	`conf`	Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
2020	A*	`conf`	Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. NeurIPS Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
2020	J	`jnl`	Automatic Perturbation Analysis on General Computational Graphs. CoRR Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
2020	J	`jnl`	BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. CoRR Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
2020	J	`jnl`	Block Switching: A Stochastic Approach for Deep Learning Security. CoRR Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020	A*	`conf`	Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. ICLR Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
2020	J	`jnl`	Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. CoRR Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
2020	J	`jnl`	Defending against Backdoor Attack on Deep Neural Networks. CoRR Hao Cheng, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, Xue Lin
2020	J	`jnl`	Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. Parallel Comput. Shi Dong, Pu Zhao, Xue Lin, David R. Kaeli
2020	J	`jnl`	Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers. CoRR Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh
2020	J	`jnl`	Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack. CoRR Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
2020	J	`jnl`	Learned Fine-Tuner for Incongruous Few-Shot Learning. CoRR Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin
2020	J	`jnl`	MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. CoRR Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang
2020	J	`jnl`	Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. CoRR Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin
2020	A	`conf`	New Passive and Active Attacks on Deep Neural Networks in Medical Applications. ICCAD Cheng Gongye, Hongjia Li, Xiang Zhang, Majid Sabbagh, Geng Yuan, Xue Lin, Thomas Wahl, Yunsi Fei
2020	A*	`conf`	PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. AAAI Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020	A*	`conf`	PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. ASPLOS Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2020	J	`jnl`	PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. CoRR Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2020	A*	`conf`	RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. DAC Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao
2020	J	`jnl`	RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. CoRR Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao
2020	J	`jnl`	Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack. CoRR Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen
2020	A*	`conf`	Towards Certificated Model Robustness Against Weight Perturbations. AAAI Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel
2020	A*	`conf`	Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. AAAI Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin
2020	J	`jnl`	Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. CoRR Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin
2020	A*	`conf`	Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. IJCAI Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
2020	J	`jnl`	Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. CoRR Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
2020	Misc	`conf`	Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. ICASSP Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
2020	J	`jnl`	Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. CoRR Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
2020	J	`jnl`	Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework. CoRR Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney
2019	—	`conf`	ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. ASP-DAC Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin
2019	A*	`conf`	ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
2019	—	`conf`	ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang
2019	A*	`conf`	Adversarial Robustness vs. Model Compression, or Both? ICCV Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
2019	A*	`conf`	E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
2019	J	`jnl`	Evading Real-Time Person Detectors by Adversarial T-shirt. CoRR Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
2019	A*	`conf`	Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. DAC Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin
2019	J	`jnl`	Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. CoRR Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin
2019	A*	`conf`	Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. CVPR Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen
2019	—	`conf`	HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. ACM Great Lakes Symposium on VLSI Mengshu Sun, Pu Zhao, Yanzhi Wang, Naehyuck Chang, Xue Lin
2019	J	`jnl`	Interpreting Adversarial Examples by Activation Promotion and Suppression. CoRR Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin
2019	J	`jnl`	Non-structured DNN Weight Pruning Considered Harmful. CoRR 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
2019	A*	`conf`	On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. ICCV Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
2019	J	`jnl`	On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method. CoRR Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
2019	J	`jnl`	PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices. CoRR Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2019	J	`jnl`	Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR 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
2019	A*	`conf`	Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. IJCAI Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin
2019	J	`jnl`	Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. CoRR Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin
2019	J	`jnl`	Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression. IEEE Trans. Sustain. Comput. Siyu Liao, Yi Xie, Xue Lin, Yanzhi Wang, Min Zhang, Bo Yuan
2019	J	`jnl`	Reweighted Proximal Pruning for Large-Scale Language Representation. CoRR Fu-Ming Guo, Sijia Liu, Finlay S. Mungall, Xue Lin, Yanzhi Wang
2019	J	`jnl`	Second Rethinking of Network Pruning in the Adversarial Setting. CoRR Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
2019	—	`conf`	Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin
2019	A*	`conf`	Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. IJCAI Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
2019	J	`jnl`	Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective. CoRR Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
2019	A*	`conf`	Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. AAAI Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin
2019	A*	`conf`	ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. NeurIPS Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox
2019	J	`jnl`	ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization. CoRR Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox
2018	J	`jnl`	A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM. CoRR Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang
2018	—	`conf`	A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. ASP-DAC Pu Zhao, Yanzhi Wang, Naehyuck Chang, Qi Zhu, Xue Lin
2018	J	`jnl`	ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. CoRR Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang
2018	J	`jnl`	ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
2018	A*	`conf`	An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. ACM Multimedia Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin
2018	J	`jnl`	An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. CoRR Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin
2018	J	`jnl`	Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. Nano Commun. Networks Hongjia Li, Ruizhe Cai, Ning Liu, Xue Lin, Yanzhi Wang
2018	—	`conf`	Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. GlobalSIP Siyue Wang, Xiao Wang, Shaokai Ye, Pu Zhao, Xue Lin
2018	J	`jnl`	Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin
2018	A	`conf`	Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin
2018	J	`jnl`	Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations. IEEE Trans. Very Large Scale Integr. Syst. Jaemin Kim, Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Xue Lin, Yanzhi Wang, Youngjin Cho, Sang Hyun Park, Naehyuck Chang
2018	J	`jnl`	E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
2018	J	`jnl`	On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks. CoRR Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin
2018	J	`jnl`	Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators. CoRR Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang
2018	A	`conf`	Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. DATE Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang
2018	J	`jnl`	Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR 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
2018	J	`jnl`	Reconfigurable Photovoltaic Systems for Electric Vehicles. IEEE Des. Test Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Xue Lin
2018	—	`conf`	Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. GlobalSIP Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin
2018	J	`jnl`	Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin
2018	A*	`conf`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2018	J	`jnl`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2017	—	`conf`	Algorithm accelerations for luminescent solar concentrator-enhanced reconfigurable onboard photovoltaic system. ASP-DAC Caiwen Ding, Ji Li, Weiwei Zheng, Naehyuck Chang, Xue Lin, Yanzhi Wang
2017	J	`jnl`	CTS2M: concurrent task scheduling and storage management for residential energy consumers under dynamic energy pricing. IET Cyper-Phys. Syst.: Theory & Appl. Ji Li, Xue Lin, Shahin Nazarian, Massoud Pedram
2017	J	`jnl`	CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR 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
2017	A*	`conf`	CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 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
2017	—	`conf`	Data center power management for regulation service using neural network-based power prediction. ISQED Ning Liu, Xue Lin, Yanzhi Wang
2017	A	`conf`	Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. ICCAD Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan
2017	—	`conf`	Fast and energy-aware resource provisioning and task scheduling for cloud systems. ISQED Hongjia Li, Ji Li, Wang Yao, Shahin Nazarian, Xue Lin, Yanzhi Wang
2017	J	`jnl`	Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model. IET Cyper-Phys. Syst.: Theory & Appl. Pu Zhao, Xue Lin, Yanzhi Wang, Shuang Chen, Massoud Pedram
2017	A	`conf`	Reconfigurable thermoelectric generators for vehicle radiators energy harvesting. ISLPED Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Jaemin Kim, Xue Lin, Yanzhi Wang, Naehyuck Chang
2016	B	`conf`	A Profit Optimization Framework of Energy Storage Devices in Data Centers: Hierarchical Structure and Hybrid Types. CLOUD Xue Lin, Massoud Pedram, Jian Tang, Yanzhi Wang
2016	B	`conf`	A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers. IC2E Xue Lin, Yanzhi Wang, Massoud Pedram
2016	J	`jnl`	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. Xue Lin, Yanzhi Wang, Naehyuck Chang, Massoud Pedram
2016	C	`conf`	Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles. ICCD Caiwen Ding, Hongjia Li, Weiwei Zheng, Yanzhi Wang, Naehyuck Chang, Xue Lin
2016	—	`conf`	Negotiation-based resource provisioning and task scheduling algorithm for cloud systems. ISQED Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram
2016	C	`conf`	Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. ICCD Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram
2015	A	`conf`	Event-driven and sensorless photovoltaic system reconfiguration for electric vehicles. DATE Xue Lin, Yanzhi Wang, Massoud Pedram, Jaemin Kim, Naehyuck Chang
2015	B	`conf`	Hierarchical Deployment and Control of Energy Storage Devices in Data Centers. CLOUD Shuo Wang, Yanzhi Wang, Xue Lin, Massoud Pedram
2015	A*	`conf`	Joint automatic control of the powertrain and auxiliary systems to enhance the electromobility in hybrid electric vehicles. DAC Yanzhi Wang, Xue Lin, Massoud Pedram, Naehyuck Chang
2015	A	`conf`	Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost. ICCAD Xue Lin, Paul Bogdan, Naehyuck Chang, Massoud Pedram
2015	—	`conf`	Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices. ASP-DAC Ji Li, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram
2015	B	`conf`	Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model. Intelligent Vehicles Symposium Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram
2015	J	`jnl`	Performance Comparisons Between 7-nm FinFET and Conventional Bulk CMOS Standard Cell Libraries. IEEE Trans. Circuits Syst. II Express Briefs Qing Xie, Xue Lin, Yanzhi Wang, Shuang Chen, Mohammad Javad Dousti, Massoud Pedram
2015	—	`conf`	Reinforcement learning-based control of residential energy storage systems for electric bill minimization. CCNC Chenxiao Guan, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram
2015	J	`jnl`	Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment. IEEE Trans. Serv. Comput. Xue Lin, Yanzhi Wang, Qing Xie, Massoud Pedram
2014	—	`conf`	5nm FinFET Standard Cell Library Optimization and Circuit Synthesis in Near-and Super-Threshold Voltage Regimes. ISVLSI Qing Xie, Xue Lin, Yanzhi Wang, Mohammad Javad Dousti, Alireza Shafaei, Majid Ghasemi-Gol, Massoud Pedram
2014	J	`jnl`	Adaptive Control for Energy Storage Systems in Households With Photovoltaic Modules. IEEE Trans. Smart Grid Yanzhi Wang, Xue Lin, Massoud Pedram
2014	—	`conf`	An improved logical effort model and framework applied to optimal sizing of circuits operating in multiple supply voltage regimes. ISQED Xue Lin, Yanzhi Wang, Shahin Nazarian, Massoud Pedram
2014	J	`jnl`	Architecture and Control Algorithms for Combating Partial Shading in Photovoltaic Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yanzhi Wang, Xue Lin, Younghyun Kim, Naehyuck Chang, Massoud Pedram
2014	—	`conf`	Coordination of the smart grid and distributed data centers: A nested game-based optimization framework. ISGT Yanzhi Wang, Xue Lin, Massoud Pedram
2014	J	`jnl`	Designing Fault-Tolerant Photovoltaic Systems. IEEE Des. Test Xue Lin, Yanzhi Wang, Massoud Pedram, Jaemin Kim, Naehyuck Chang
2014	—	`conf`	Energy and Performance-Aware Task Scheduling in a Mobile Cloud Computing Environment. IEEE CLOUD Xue Lin, Yanzhi Wang, Qing Xie, Massoud Pedram
2014	—	`conf`	Energy optimal sizing of FinFET standard cells operating in multiple voltage regimes using adaptive independent gate control. ACM Great Lakes Symposium on VLSI Yue Fu, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram
2014	—	`conf`	FinCACTI: Architectural Analysis and Modeling of Caches with Deeply-Scaled FinFET Devices. ISVLSI Alireza Shafaei, Yanzhi Wang, Xue Lin, Massoud Pedram
2014	A	`conf`	Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles. DATE Yanzhi Wang, Xue Lin, Qing Xie, Naehyuck Chang, Massoud Pedram
2014	—	`conf`	Optimal power switch design methodology for ultra dynamic voltage scaling with a limited number of power rails. ACM Great Lakes Symposium on VLSI Yanzhi Wang, Xue Lin, Massoud Pedram
2014	C	`conf`	Power supply and consumption co-optimization of portable embedded systems with hybrid power supply. ICCD Xue Lin, Yanzhi Wang, Naehyuck Chang, Massoud Pedram
2014	A	`conf`	Reinforcement learning based power management for hybrid electric vehicles. ICCAD Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram
2014	—	`conf`	Semi-analytical current source modeling of FinFET devices operating in near/sub-threshold regime with independent gate control and considering process variation. ASP-DAC Tiansong Cui, Yanzhi Wang, Xue Lin, Shahin Nazarian, Massoud Pedram
2014	J	`jnl`	Single-Source, Single-Destination Charge Migration in Hybrid Electrical Energy Storage Systems. IEEE Trans. Very Large Scale Integr. Syst. Yanzhi Wang, Xue Lin, Younghyun Kim, Qing Xie, Massoud Pedram, Naehyuck Chang
2014	—	`conf`	Stack sizing analysis and optimization for FinFET logic cells and circuits operating in the sub/near-threshold regime. ISQED Xue Lin, Yanzhi Wang, Massoud Pedram
2013	—	`conf`	A Nested Two Stage Game-Based Optimization Framework in Mobile Cloud Computing System. SOSE Yanzhi Wang, Xue Lin, Massoud Pedram
2013	A	`conf`	A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting. ISLPED Xue Lin, Yanzhi Wang, Siyu Yue, Naehyuck Chang, Massoud Pedram
2013	—	`conf`	A sequential game perspective and optimization of the smart grid with distributed data centers. ISGT Yanzhi Wang, Xue Lin, Massoud Pedram
2013	—	`conf`	An optimal control policy in a mobile cloud computing system based on stochastic data. CloudNet Xue Lin, Yanzhi Wang, Massoud Pedram
2013	A	`conf`	Capital cost-aware design and partial shading-aware architecture optimization of a reconfigurable photovoltaic system. DATE Yanzhi Wang, Xue Lin, Massoud Pedram, Jaemin Kim, Naehyuck Chang
2013	—	`conf`	Hierarchical dynamic power management using model-free reinforcement learning. ISQED Yanzhi Wang, Maryam Triki, Xue Lin, Ahmed Chiheb Ammari, Massoud Pedram
2013	A	`conf`	Joint sizing and adaptive independent gate control for FinFET circuits operating in multiple voltage regimes using the logical effort method. ICCAD Xue Lin, Yanzhi Wang, Massoud Pedram
2013	A	`conf`	Optimal control of a grid-connected hybrid electrical energy storage system for homes. DATE Yanzhi Wang, Xue Lin, Massoud Pedram, Sangyoung Park, Naehyuck Chang
2012	A	`conf`	Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles. ISLPED Yanzhi Wang, Xue Lin, Naehyuck Chang, Massoud Pedram
2012	—	`conf`	Enhancing efficiency and robustness of a photovoltaic power system under partial shading. ISQED Yanzhi Wang, Xue Lin, Younghyun Kim, Naehyuck Chang, Massoud Pedram
2012	A*	`conf`	Near-optimal, dynamic module reconfiguration in a photovoltaic system to combat partial shading effects. DAC Xue Lin, Yanzhi Wang, Siyu Yue, Donghwa Shin, Naehyuck Chang, Massoud Pedram
2012	A	`conf`	Online fault detection and tolerance for photovoltaic energy harvesting systems. ICCAD Xue Lin, Yanzhi Wang, Di Zhu, Naehyuck Chang, Massoud Pedram
2012	A	`conf`	State of health aware charge management in hybrid electrical energy storage systems. DATE Qing Xie, Xue Lin, Yanzhi Wang, Massoud Pedram, Donghwa Shin, Naehyuck Chang