Ye, Peng

42 publications

ICLR 2025 A CLIP-Powered Framework for Robust and Generalizable Data Selection Suorong Yang, Peng Ye, Wanli Ouyang, Dongzhan Zhou, Furao Shen

AAAI 2025 All-in-One: Transferring Vision Foundation Models into Stereo Matching Jingyi Zhou, Haoyu Zhang, Jiakang Yuan, Peng Ye, Tao Chen, Hao Jiang, Meiya Chen, Yangyang Zhang

NeurIPS 2025 Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression Xiaohui Wang, Peng Ye, Chenyu Huang, Shenghe Zheng, Bo Zhang, Lei Bai, Wanli Ouyang, Tao Chen

CVPR 2025 Consistency-Aware Self-Training for Iterative-Based Stereo Matching Jingyi Zhou, Peng Ye, Haoyu Zhang, Jiakang Yuan, Rao Qiang, Liu YangChenXu, Wu Cailin, Feng Xu, Tao Chen

CVPR 2025 Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning Di Zhang, Jingdi Lei, Junxian Li, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou

CVPR 2025 DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models Yongqi Huang, Peng Ye, Chenyu Huang, Jianjian Cao, Lin Zhang, Baopu Li, Gang Yu, Tao Chen

NeurIPS 2025 FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding Chongjun Tu, Lin Zhang, Pengtao Chen, Peng Ye, Xianfang Zeng, Wei Cheng, Gang Yu, Tao Chen

NeurIPS 2025 GoRA: Gradient-Driven Adaptive Low Rank Adaptation Haonan He, Peng Ye, Yuchen Ren, Yuan Yuan, LuyangZhou, ShucunJu, Lei Chen

ICLR 2025 HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction Shengji Tang, Weicai Ye, Peng Ye, Weihao Lin, Yang Zhou, Tao Chen, Wanli Ouyang

CVPR 2025 Less Is More: Efficient Model Merging with Binary Task Switch Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou

NeurIPS 2025 MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models Based Intrusion Scene Understanding Fujun Han, Peng Ye

NeurIPS 2025 PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding Kangcong Li, Peng Ye, Chongjun Tu, Lin Zhang, Chunfeng Song, Jiamin Wu, Tao Yang, Qihao Zheng, Tao Chen

NeurIPS 2025 Private Online Learning Against an Adaptive Adversary: Realizable and Agnostic Settings Bo Li, Wei Wang, Peng Ye

COLT 2025 Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity Bo Li, Wei Wang, Peng Ye

ICLR 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models Yu Bo, Weian Mao, Yanjun Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen

NeurIPS 2025 Scaling Physical Reasoning with the PHYSICS Dataset Shenghe Zheng, Qianjia Cheng, Junchi Yao, Mengsong Wu, Haonan He, Ning Ding, Yu Cheng, Shuyue Hu, Lei Bai, Dongzhan Zhou, Ganqu Cui, Peng Ye

ICML 2025 When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration Suorong Yang, Peng Ye, Furao Shen, Dongzhan Zhou

NeurIPS 2025 scMRDR: A Scalable and Flexible Framework for Unpaired Single-Cell Multi-Omics Data Integration Jianle Sun, Chaoqi Liang, Ran Wei, Peng Zheng, Lei Bai, Wanli Ouyang, Hongliang Yan, Peng Ye

NeurIPS 2024 BEACON: Benchmark for Comprehensive RNA Tasks and Language Models Yuchen Ren, Zhiyuan Chen, Lifeng Qiao, Hongtai Jing, Yuchen Cai, Sheng Xu, Peng Ye, Xinzhu Ma, Siqi Sun, Hongliang Yan, Dong Yuan, Wanli Ouyang, Xihui Liu

AAAI 2024 Boosting Residual Networks with Group Knowledge Shengji Tang, Peng Ye, Baopu Li, Weihao Lin, Tao Chen, Tong He, Chong Yu, Wanli Ouyang

ICML 2024 CasCast: Skillful High-Resolution Precipitation Nowcasting via Cascaded Modelling Junchao Gong, Lei Bai, Peng Ye, Wanghan Xu, Na Liu, Jianhua Dai, Xiaokang Yang, Wanli Ouyang

NeurIPS 2024 EMR-Merging: Tuning-Free High-Performance Model Merging Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue, Wanli Ouyang

ECCV 2024 Enhanced Sparsification via Stimulative Training Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen

NeurIPS 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen, Peng Ye, Hao Chen, Kang Chen, Tao Han, Wanli Ouyang, Tao Chen, Lei Bai

ICML 2024 Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy Bo Li, Wei Wang, Peng Ye

CVPR 2024 MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen

NeurIPSW 2024 MD-DiT: Step-Aware Mixture-of-Depths for Efficient Diffusion Transformers Mingzhu Shen, Pengtao Chen, Peng Ye, Guoxuan Xia, Tao Chen, Christos-Savvas Bouganis, Yiren Zhao

NeurIPS 2024 Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang

CVPR 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang

NeurIPS 2024 S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning Weihao Lin, Shengji Tang, Chong Yu, Peng Ye, Tao Chen

NeurIPS 2024 The Limits of Differential Privacy in Online Learning Bo Li, Wei Wang, Peng Ye

ICCV 2023 RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary Mengyao Li, Liquan Shen, Peng Ye, Guorui Feng, Zheyin Wang

CVPR 2022 B-DARTS: Beta-Decay Regularization for Differentiable Architecture Search Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang

NeurIPS 2022 Neural-Symbolic Entangled Framework for Complex Query Answering Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, Huajun Chen

NeurIPS 2022 Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing Peng Ye, Shengji Tang, Baopu Li, Tao Chen, Wanli Ouyang

COLT 2021 Average-Case Communication Complexity of Statistical Problems Cyrus Rashtchian, David Woodruff, Peng Ye, Hanlin Zhu

ICML 2021 In-Database Regression in Input Sparsity Time Rajesh Jayaram, Alireza Samadian, David Woodruff, Peng Ye

CVPR 2014 Active Sampling for Subjective Image Quality Assessment Peng Ye, David Doermann

CVPR 2014 Beyond Human Opinion Scores: Blind Image Quality Assessment Based on Synthetic Scores Peng Ye, Jayant Kumar, David Doermann

CVPR 2014 Convolutional Neural Networks for No-Reference Image Quality Assessment Le Kang, Peng Ye, Yi Li, David Doermann

CVPR 2013 Real-Time No-Reference Image Quality Assessment Based on Filter Learning Peng Ye, Jayant Kumar, Le Kang, David Doermann

CVPR 2012 Unsupervised Feature Learning Framework for No-Reference Image Quality Assessment Peng Ye, Jayant Kumar, Le Kang, David S. Doermann