Li, Gang

58 publications

TMLR 2026 Single-Loop Algorithms for Stochastic Non-Convex Optimization with Weakly-Convex Constraints Ming Yang, Gang Li, Quanqi Hu, Qihang Lin, Tianbao Yang

CVPR 2025 Align-a-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing Shengzhi Wang, Yingkang Zhong, Jiangchuan Mu, Kai Wu, Mingliang Xiong, Wen Fang, Mingqing Liu, Hao Deng, Bin He, Gang Li, Qingwen Liu

AAAI 2025 Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems Zhuohui Zhang, Bin He, Bin Cheng, Gang Li

IJCAI 2025 DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-Sided Incomplete Information Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen

NeurIPS 2025 Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Fuqiang Du, Li Jingyuan, Lanchi Xie, Zhen Xu, Weiqing Huang

NeurIPS 2025 DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization Gang Li, Ming Lin, Tomer Galanti, Zhengzhong Tu, Tianbao Yang

CVPR 2025 Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation Xiaoying Xing, Avinab Saha, Junfeng He, Susan Hao, Paul Vicol, Moonkyung Ryu, Gang Li, Sahil Singla, Sarah Young, Yinxiao Li, Feng Yang, Deepak Ramachandran

NeurIPS 2025 Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models Yulei Qin, Gang Li, Zongyi Li, Zihan Xu, Yuchen Shi, Zhekai Lin, Xiao Cui, Ke Li, Xing Sun

NeurIPS 2025 Incentivizing Truthful Language Models via Peer Elicitation Games Baiting Chen, Tong Zhu, Jiale Han, Lexin Li, Gang Li, Xiaowu Dai

TMLR 2025 Multi-Output Distributional Fairness via Post-Processing Gang Li, Qihang Lin, Ayush Ghosh, Tianbao Yang

TMLR 2025 Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun

NeurIPSW 2024 A Spatio-Temporal Flow Matching Framework for Pedestrian Trajectory Prediction Hui Zhang, Gang Li, Zebin Guan, Jian Wu, Shuo Bu, Jinchuan Chai

ICMLW 2024 Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham

NeurIPS 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

ICMLW 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models Peng Xia, Ze Chen, Juanxi Tian, Gong Yangrui, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

JAIR 2024 Detecting Change Intervals with Isolation Distributional Kernel Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li

IJCAI 2024 Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint) Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li

ECCV 2024 Distilling Knowledge from Large-Scale Image Models for Object Detection Gang Li, Wenhai Wang, Xiang Li, Ziheng Li, Jian Yang, Jifeng Dai, Yu Qiao, Shanshan Zhang

NeurIPSW 2024 Memory Efficient Continual Learning with CLIP Models Ryan King, Gang Li, Bobak J Mortazavi, Tianbao Yang

NeurIPSW 2024 Model Developmental Safety: A Safety-Centric Method and Applications in Vision-Language Models Gang Li, Wendi Yu, Yao Yao, Wei Tong, Yingbin Liang, Qihang Lin, Tianbao Yang

CVPR 2024 On Scaling up a Multilingual Vision and Language Model Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, Aj Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

ECCV 2024 PDT Uav Target Detection Dataset for Pests and Diseases Tree Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li

ECCV 2024 Parrot: Pareto-Optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation Seung Hyun Lee, Yinxiao Li, Junjie Ke, Innfarn Yoo, Han Zhang, Jiahui Yu, Qifei Wang, Fei Deng, Glenn Entis, Junfeng He, Gang Li, Sangpil Kim, Irfan Essa, Feng Yang

NeurIPS 2024 PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu, Gang Li, Mingcheng Li, Shuaibing Wang, Jiawei Chen, Yue Jiang, Qingyao Xu, Ke Li, Peng Zhai, Lihua Zhang

CVPR 2024 Rich Human Feedback for Text-to-Image Generation Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katherine M. Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam

NeurIPS 2024 SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Boquan Li, Feng Yu, Ning Zhang, Xiang Meng, Weiqing Huang

CVPR 2024 StraightPCF: Straight Point Cloud Filtering Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Lei Wei, Antonio Robles-Kelly, Hongdong Li

NeurIPS 2024 UniAR: A Unified Model for Predicting Human Attention and Responses on Visual Content Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai J Kohlhoff, Vidhya Navalpakkam

ICLR 2023 $\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng

IJCAI 2023 Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang

CVPR 2023 IterativePFN: True Iterative Point Cloud Filtering Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He

NeurIPS 2023 Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness Gang Li, Wei Tong, Tianbao Yang

ICML 2023 PLay: Parametrically Conditioned Layout Generation Using Latent Diffusion Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li

ICLR 2023 Spotlight: Mobile UI Understanding Using Vision-Language Models with a Focus Gang Li, Yang Li

NeurIPS 2022 DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection Gang Li, Xiang Li, Yujie Wang, Wu Yichao, Ding Liang, Shanshan Zhang

AAAI 2022 Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang

NeurIPS 2022 Multi-Block-Single-Probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang, Gang Li, Yibo Wang, Lijun Zhang, Tianbao Yang

ECCV 2022 PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng

ECCV 2022 PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang

NeurIPS 2022 SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng

ICML 2022 When AUC Meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang

ICCV 2021 Dynamic Dual Gating Neural Networks Fanrong Li, Gang Li, Xiangyu He, Jian Cheng

CVPR 2021 Hilbert Sinkhorn Divergence for Optimal Transport Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu

NeurIPS 2021 Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio

AAAI 2020 Sparsity-Inducing Binarized Neural Networks Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng

ICCVW 2019 A System-Level Solution for Low-Power Object Detection Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng

ECCV 2018 Training Binary Weight Networks via Semi-Binary Decomposition Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng

MLJ 2017 Erratum to: Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

MLJ 2017 Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

ACML 2015 Preference Relation-Based Markov Random Fields for Recommender Systems Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang

ACML 2014 Ordinal Random Fields for Recommender Systems Shaowu Liu, Truyen Tran, Gang Li

ICML 2012 Conversational Speech Transcription Using Context-Dependent Deep Neural Networks Dong Yu, Frank Seide, Gang Li

CVPRW 2010 Direction Field Diffusion on Cortical Surface via Graph Cuts Gang Li, Lei Guo, Jingxin Nie, Kaiming Li, Tianming Liu

ICCV 2009 Globally Optimal Affine Epipolar Geometry from Apparent Contours Gang Li, Yanghai Tsin

ICCV 2007 Exploiting Occluding Contours for Real-Time 3D Tracking: A Unified Approach Gang Li, Yanghai Tsin, Yakup Genc

ECCV 2006 Differential Geometric Consistency Extends Stereo to Curved Surfaces Gang Li, Steven W. Zucker

CVPR 2006 Surface Geometric Constraints for Stereo in Belief Propagation Gang Li, Steven W. Zucker

ECML-PKDD 2002 An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks Honghua Dai, Gang Li, Yiqing Tu