Zhao, Pu

40 publications

IJCAI 2025 FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts 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

TMLR 2025 Large Action Models: From Inception to Implementation Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, He Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

AAAI 2025 LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers 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

AAAI 2025 Numerical Pruning for Efficient Autoregressive Models 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

WACV 2025 Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation Pinrui Yu, Zhenglun Kong, Pu Zhao, Peiyan Dong, Hao Tang, Fei Sun, Xue Lin, Yanzhi Wang

CVPR 2025 QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu

ICLR 2025 Self-Evolved Reward Learning for LLMs Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

ICLR 2025 Sparse Learning for State Space Models on Mobile Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu

ICML 2025 Taming Diffusion for Dataset Distillation with High Representativeness Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin

AAAI 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-Grained Weight Importance Assessment Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang

ICLR 2025 WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang

ECCV 2024 DiffClass: Diffusion-Based Class Incremental Learning Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang

NeurIPS 2024 Exploring Token Pruning in Vision State Space Models Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang

NeurIPS 2024 Fast and Memory-Efficient Video Diffusion Using Streamlined Inference Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang

IJCAI 2024 FasterVD: On Acceleration of Video Diffusion Models Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang

ECCV 2024 InstructGIE: Towards Generalizable Image Editing Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang

NeurIPS 2024 Search for Efficient Large Language Models Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang

NeurIPS 2024 WizardArena: Post-Training Large Language Models via Simulated Offline Chatbot Arena Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen

ICLR 2024 WizardCoder: Empowering Code Large Language Models with Evol-Instruct Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

ICLR 2024 WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang

ICCV 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

CVPR 2023 Pruning Parameterization with Bi-Level Optimization for Efficient Semantic Segmentation on the Edge Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang

AAAI 2023 Towards Real-Time Segmentation on the Edge Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang

NeurIPS 2022 Advancing Model Pruning via Bi-Level Optimization Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu

ECCV 2022 Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang

IJCAI 2022 Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu

IJCAI 2022 Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen

IJCAI 2022 T-SMOTE: Temporal-Oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

IJCAI 2021 A Compression-Compilation Framework for On-Mobile Real-Time BERT Applications Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang

ICCV 2021 Achieving On-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David Kaeli, Bin Ren, Xue Lin, Yanzhi Wang

IJCAI 2021 Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin

AAAI 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

CVPR 2021 NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration 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

AAAI 2021 PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

ICLR 2020 Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin

IJCAI 2020 Intelligent Virtual Machine Provisioning in Cloud Computing Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin

AAAI 2020 Towards Certificated Model Robustness Against Weight Perturbations Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel

AAAI 2020 Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin

IJCAI 2020 Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren

ICLR 2019 Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin