Pu Zhao - RankMe

118 papers A* 32A 6Misc 1Journal 66Unranked 13

Year	Rank	Type	Title / Venue / Authors
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`	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	J	`jnl`	Collaborative Compression for Large-Scale MoE Deployment on Edge. CoRR Yixiao Chen, Yanyue Xie, Ruining Yang, Wei Jiang, Wei Wang, Yong He, Yue Chen, Pu Zhao, Yanzhi Wang
2025	J	`jnl`	Cross-Platform Scaling of Vision-Language-Action Models from Edge to Cloud GPUs. CoRR Amir Taherin, Juyi Lin, Arash Akbari, Arman Akbari, Pu Zhao, Weiwei Chen, David R. Kaeli, Yanzhi Wang
2025	J	`jnl`	DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance. CoRR Xuan Shen, Chenxia Han, Yufa Zhou, Yanyue Xie, Yifan Gong, Quanyi Wang, Yiwei Wang, Yanzhi Wang, Pu Zhao, Jiuxiang Gu
2025	J	`jnl`	Efficient Reasoning with Hidden Thinking. CoRR Xuan Shen, Yizhou Wang, Xiangxi Shi, Yanzhi Wang, Pu Zhao, Jiuxiang Gu
2025	J	`jnl`	Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. CoRR Zhenglun Kong, Zheng Zhan, Shiyue Hou, Yifan Gong, Xin Meng, Pengwei Sui, Peiyan Dong, Xuan Shen, Zifeng Wang, Pu Zhao, Hao Tang, Stratis Ioannidis, Yanzhi Wang
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	J	`jnl`	FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge. CoRR Xuan Shen, Weize Ma, Yufa Zhou, Enhao Tang, Yanyue Xie, Zhengang Li, Yifan Gong, Quanyi Wang, Henghui Ding, Yiwei Wang, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu
2025	A*	`conf`	LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. AAAI Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
2025	A*	`conf`	Numerical Pruning for Efficient Autoregressive Models. AAAI Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
2025	J	`jnl`	Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA. CoRR Pu Zhao, Xuan Shen, Zhenglun Kong, Yixin Shen, Sung-En Chang, Arash Akbari, Timothy Rupprecht, Lei Lu, Enfu Nan, Changdi Yang, Yumei He, Weiyan Shi, Xingchen Xu, Yu Huang, Wei Jiang, Wei Wang, Yue Chen, Yong He, Yanzhi Wang
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	A*	`conf`	QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. CVPR Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu
2025	J	`jnl`	QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. CoRR Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu
2025	J	`jnl`	RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing. CoRR Timothy Rupprecht, Enfu Nan, Arash Akbari, Arman Akbari, Lei Lu, Priyanka Maan, Sean Duffy, Pu Zhao, Yumei He, David R. Kaeli, 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	A	`conf`	Squat: Quant Small Language Models on the Edge. ICCAD Xuan Shen, Peiyan Dong, Zhenglun Kong, Yifan Gong, Changdi Yang, Zhaoyang Han, Yanyue Xie, Lei Lu, Cheng Lyu, Chao Wu, Yanzhi Wang, Pu Zhao
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
2025	J	`jnl`	Werewolf: A Straightforward Game Framework with TTS for Improved User Engagement. CoRR Qihui Fan, Enfu Nan, Wenbo Li, Lei Lu, Pu Zhao, 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	—	`conf`	DiffClass: Diffusion-Based Class Incremental Learning. ECCV (87) Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	DiffClass: Diffusion-Based Class Incremental Learning. CoRR Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge. CoRR Xuan Shen, Zhenglun Kong, Changdi Yang, Zhaoyang Han, Lei Lu, Peiyan Dong, Cheng Lyu, Chih-hsiang Li, Xuehang Guo, Zhihao Shu, Wei Niu, Miriam Leeser, Pu Zhao, Yanzhi Wang
2024	A*	`conf`	Exploring Token Pruning in Vision State Space Models. NeurIPS Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	Exploring Token Pruning in Vision State Space Models. CoRR Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
2024	A*	`conf`	Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. NeurIPS Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
2024	J	`jnl`	Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. CoRR Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
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	J	`jnl`	Fully Open Source Moxin-7B Technical Report. CoRR Pu Zhao, Xuan Shen, Zhenglun Kong, Yixin Shen, Sung-En Chang, Timothy Rupprecht, Lei Lu, Enfu Nan, Changdi Yang, Yumei He, Xingchen Xu, Yu Huang, Wei Wang, Yue Chen, Yong He, Yanzhi Wang
2024	—	`conf`	InstructGIE: Towards Generalizable Image Editing. ECCV (88) Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang
2024	J	`jnl`	InstructGIE: Towards Generalizable Image Editing. CoRR Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang
2024	A*	`conf`	LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. DAC Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang
2024	J	`jnl`	LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. CoRR Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
2024	J	`jnl`	Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices. CoRR Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang
2024	J	`jnl`	Numerical Pruning for Efficient Autoregressive Models. CoRR Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu
2024	J	`jnl`	Open-Source Acceleration of Stable-Diffusion.cpp. CoRR Jingxu Ng, Cheng Lv, Pu Zhao, Wei Niu, Juyi Lin, Minzhou Pan, Yun Liang, Yanzhi Wang
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	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	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
2023	A*	`conf`	Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. DAC Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, 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	—	`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	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`	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	A*	`conf`	Advancing Model Pruning via Bi-level Optimization. NeurIPS Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
2022	J	`jnl`	Advancing Model Pruning via Bi-level Optimization. CoRR Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
2022	A	`conf`	All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. ICCAD Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
2022	J	`jnl`	All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. CoRR Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
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	—	`conf`	Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. ECCV (19) Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
2022	J	`jnl`	Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. CoRR Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, 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	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	—	`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	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
2021	A*	`conf`	A Compression-Compilation Framework for On-mobile Real-time BERT Applications. IJCAI Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2021	J	`jnl`	A Compression-Compilation Framework for On-mobile Real-time BERT Applications. CoRR Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, 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	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	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	J	`jnl`	CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao
2021	J	`jnl`	High-Robustness, Low-Transferability Fingerprinting of Neural Networks. CoRR Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, 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`	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
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	J	`jnl`	Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. CoRR Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
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	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	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`	Learned Fine-Tuner for Incongruous Few-Shot Learning. CoRR Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin
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
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`	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	—	`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	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	—	`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
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	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	—	`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	—	`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
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