Tian, Ye

26 publications

NeurIPS 2025 Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning Yinjie Wang, Ling Yang, Ye Tian, Ke Shen, Mengdi Wang

IJCAI 2025 Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks Shangshang Yang, Linrui Qin, Xiaoshan Yu, Ziwen Wang, Xueming Yan, Haiping Ma, Ye Tian

NeurIPS 2025 HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation Ling Yang, Xinchen Zhang, Ye Tian, Shiyi Zhang, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui

ICLR 2025 Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu

JMLR 2025 Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness Ye Tian, Yuqi Gu, Yang Feng

AAAI 2025 LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu

NeurIPS 2025 MMaDA: Multimodal Large Diffusion Language Models Ling Yang, Ye Tian, Bowen Li, Xinchen Zhang, Ke Shen, Yunhai Tong, Mengdi Wang

NeurIPS 2025 Multi-Agent Collaboration via Evolving Orchestration Yufan Dang, Chen Qian, Xueheng Luo, Jingru Fan, Zihao Xie, Ruijie Shi, Weize Chen, Cheng Yang, Xiaoyin Che, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement Ye Tian, Angela McCarthy, Gabriel Gomide, Nancy Liddle, Jedrzej Golebka, Royce Chen, Jeff Liebmann, Kaveri A. Thakoor

NeurIPS 2025 RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis Songxiao Yang, Haolin Wang, Yao Fu, Ye Tian, Tamotsu Kamishima, Masayuki Ikebe, Yafei Ou, Masatoshi Okutomi

NeurIPS 2024 RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Kai-Ni Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui

NeurIPS 2024 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Lei Han, Haitao Mi, Dong Yu

ICML 2024 Towards the Theory of Unsupervised Federated Learning: Non-Asymptotic Analysis of Federated EM Algorithms Ye Tian, Haolei Weng, Yang Feng

CHIL 2024 Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT Data Wai Tak Lau, Ye Tian, Roshan Kenia, Saanvi Aima, Kaveri A Thakoor

ICLR 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

NeurIPS 2024 VideoTetris: Towards Compositional Text-to-Video Generation Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui

CVPR 2024 ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images Yiqi Shi, Duo Liu, Liguo Zhang, Ye Tian, Xuezhi Xia, Xiaojing Fu

ICCV 2023 EQ-Net: Elastic Quantization Neural Networks Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang

NeurIPS 2023 Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang

ICLR 2023 Quality-Similar Diversity via Population Based Reinforcement Learning Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Yang Wei

AISTATS 2022 Acceleration in Distributed Optimization Under Similarity Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov

ICML 2022 Greedy When Sure and Conservative When Uncertain About the Opponents Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang

JMLR 2021 RaSE: Random Subspace Ensemble Classification Ye Tian, Yang Feng

AISTATS 2020 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari

WACV 2020 Resisting Large Data Variations via Introspective Transformation Network Yunhan Zhao, Ye Tian, Charless Fowlkes, Wei Shen, Alan Yuille

ECCVW 2020 VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao