Cheng, Yuan

33 publications

ICLR 2026 Disco: Densely-Overlapping Cell Instance Segmentation via Adjacency-Aware Collaborative Coloring Rui Sun, Yiwen Yang, Kaiyu Guo, Chen Jiang, Dongli Xu, Zhaonan Liu, Tan Pan, Limei Han, Xue Jiang, Wu Wei, Yuan Cheng

ICLR 2026 Metis: Training LLMs with FP4 Quantization Hengjie Cao, Mengyi Chen, Yifeng Yang, Fang Dong, Ruijun Huang, Jixian Zhou, Anrui Chen, Mingzhi Dong, Yujiang Wang, Jinlong Hou, Yuan Cheng, Fan Wu, Fan Yang, Tun Lu, Ning Gu, Li Shang

ICLR 2026 SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-Based LLM Compression Xing Hu, Dawei Yang, Yuan Cheng, Zhixuan Chen, Zukang Xu

MIDL 2026 Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation Feiyang Xiao, Yichi Zhang, Xigui Li, Yuanye Zhou, Chen Jiang, Xin Guo, Limei Han, Yuxin Li, Fengping Zhu, Yuan Cheng

NeurIPS 2025 ChromFound: Towards a Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng

ICML 2025 Efficient Network Automatic Relevance Determination Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi

NeurIPS 2025 Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization Tan Pan, Kaiyu Guo, Dongli Xu, Zhaorui Tan, Chen Jiang, Deshu Chen, Xin Guo, Brian C. Lovell, Limei Han, Yuan Cheng, Mahsa Baktashmotlagh

ICLR 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, JiangyongYu, Xuchen, Zhihang Yuan, Zhe Jiang, Sifan Zhou

AAAI 2025 Pushing the Limits of BFP on Narrow Precision LLM Inference Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang, Zhe Jiang

ICCV 2025 SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Yuchen Liu, Chen Jiang, Yuan Cheng, Yuan Qi

ICCV 2025 Structure-Aware Semantic Discrepancy and Consistency for 3D Medical Image Self-Supervised Learning Tan Pan, Zhaorui Tan, Kaiyu Guo, Dongli Xu, Weidi Xu, Chen Jiang, Xin Guo, Yuan Qi, Yuan Cheng

ICCV 2025 Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng

ICML 2024 In-Context Convergence of Transformers Yu Huang, Yuan Cheng, Yingbin Liang

ICLR 2024 Provable Benefits of Multi-Task RL Under Non-Markovian Decision Making Processes Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang

AISTATS 2024 Sample Complexity Characterization for Linear Contextual MDPs Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang

CVPR 2023 Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval Tan Pan, Furong Xu, Xudong Yang, Sifeng He, Chen Jiang, Qingpei Guo, Feng Qian, Xiaobo Zhang, Yuan Cheng, Lei Yang, Wei Chu

AAAI 2023 DC-Former: Diverse and Compact Transformer for Person Re-Identification Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu

ICLR 2023 Improved Sample Complexity for Reward-Free Reinforcement Learning Under Low-Rank MDPs Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang

NeurIPSW 2023 In-Context Convergence of Transformers Yu Huang, Yuan Cheng, Yingbin Liang

TMLR 2023 Online Min-Max Problems with Non-Convexity and Non-Stationarity Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang

NeurIPS 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs Yuan Cheng, Jing Yang, Yingbin Liang

CVPR 2022 A Large-Scale Comprehensive Dataset and Copy-Overlap Aware Evaluation Protocol for Segment-Level Video Copy Detection Sifeng He, Xudong Yang, Chen Jiang, Gang Liang, Wei Zhang, Tan Pan, Qing Wang, Furong Xu, Chunguang Li, JinXiong Liu, Hui Xu, Kaiming Huang, Yuan Cheng, Feng Qian, Xiaobo Zhang, Lei Yang

AAAI 2022 Deeply Tensor Compressed Transformers for End-to-End Object Detection Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen

WACV 2022 FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation Yuan Cheng, Rui Lin, Peining Zhen, Tianshu Hou, Chiu Wa Ng, Hai-Bao Chen, Hao Yu, Ngai Wong

NeurIPSW 2022 Online Min-Max Optimization: Nonconvexity, Nonstationarity, and Dynamic Regret Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang

NeurIPS 2022 Provable Benefit of Multitask Representation Learning in Reinforcement Learning Yuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang

CVPR 2022 Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie

AAAI 2022 Width & Depth Pruning for Vision Transformers Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui

CVPR 2021 Discrimination-Aware Mechanism for Fine-Grained Representation Learning Furong Xu, Meng Wang, Wei Zhang, Yuan Cheng, Wei Chu

WACV 2021 S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-Shot Segmentation Yuan Cheng, Yuchao Yang, Hai-Bao Chen, Ngai Wong, Hao Yu

AAAI 2020 Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu

WACV 2012 Automatic Identification of Frankfurt Plane and Mid-Sagittal Plane of Skull Yuan Cheng, Wee Kheng Leow, Thiam Chye Lim

CVPR 2010 Correcting Over-Exposure in Photographs Dong Guo, Yuan Cheng, Shaojie Zhuo, Terence Sim