Yang, Rui

46 publications

NeurIPS 2025 ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning Zeyuan Liu, Zhihe Yang, Jiawei Xu, Rui Yang, Jiafei Lyu, Baoxiang Wang, Yunjian Xu, Xiu Li

ICLR 2025 DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang

ICML 2025 EmbodiedBench: Comprehensive Benchmarking Multi-Modal Large Language Models for Vision-Driven Embodied Agents Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang

NeurIPS 2025 GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao

ICML 2025 HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding Rui Yang, Lin Song, Yicheng Xiao, Runhui Huang, Yixiao Ge, Ying Shan, Hengshuang Zhao

ICLR 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning Rui Yang, Jie Wang, Qijie Peng, Ruibo Guo, Guoping Wu, Bin Li

ICML 2025 LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Yicheng Xiao, Lin Song, Rui Yang, Cheng Cheng, Yixiao Ge, Xiu Li, Ying Shan

NeurIPS 2025 MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations Wenxiang Guo, Changhao Pan, Zhiyuan Zhu, Xintong Hu, Yu Zhang, Li Tang, Rui Yang, Han Wang, Zongbao Zhang, Yuhan Wang, Yixuan Chen, Hankun Xu, Ke Xu, PengFei Fan, ZheTao Chen, Yanhao Yu, Qiange Huang, Fei Wu, Zhou Zhao

NeurIPS 2025 MergeBench: A Benchmark for Merging Domain-Specialized LLMs Yifei He, Siqi Zeng, Yuzheng Hu, Rui Yang, Tong Zhang, Han Zhao

AAAI 2025 One-Shot Reference-Based Structure-Aware Image to Sketch Synthesis Rui Yang, Honghong Yang, Li Zhao, Qin Lei, Mianxiong Dong, Kaoru Ota, Xiaojun Wu

IJCAI 2025 Predicting Spectral Information for Self-Supervised Signal Classification Yi Xu, Shuang Wang, Hantong Xing, Chenxu Wang, Dou Quan, Rui Yang, Dong Zhao, Luyang Mei

NeurIPS 2025 QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design Rui Yang, Ziruo Wang, Yuntian Gu, Yitao Liang, Tongyang Li

ICCV 2025 REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment Haonan Han, Rui Yang, Huan Liao, Jiankai Xing, Zunnan Xu, Xiaoming Yu, Junwei Zha, Xiu Li, Wanhua Li

ICCV 2025 Stroke2Sketch: Harnessing Stroke Attributes for Training-Free Sketch Generation Rui Yang, Huining Li, Yiyi Long, Xiaojun Wu, Shengfeng He

ICLR 2025 Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han

IJCAI 2025 Weakly-Supervised Audio Temporal Forgery Localization via Progressive Audio-Language Co-Learning Network Junyan Wu, Wenbo Xu, Wei Lu, Xiangyang Luo, Rui Yang, Shize Guo

IJCAI 2024 BATON: Aligning Text-to-Audio Model Using Human Preference Feedback Huan Liao, Haonan Han, Kai Yang, Tianjiao Du, Rui Yang, Qinmei Xu, Zunnan Xu, Jingquan Liu, Jiasheng Lu, Xiu Li

ICML 2024 DRCT: Diffusion Reconstruction Contrastive Training Towards Universal Detection of Diffusion Generated Images Baoying Chen, Jishen Zeng, Jianquan Yang, Rui Yang

TMLR 2024 GOPlan: Goal-Conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana

NeurIPS 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang

ICML 2024 Rewards-in-Context: Multi-Objective Alignment of Foundation Models with Dynamic Preference Adjustment Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen

ICLR 2024 Towards Robust Offline Reinforcement Learning Under Diverse Data Corruption Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang

JAIR 2024 Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness Xiaoyu Wen, Xudong Yu, Rui Yang, Haoyuan Chen, Chenjia Bai, Zhen Wang

NeurIPS 2024 Uncertainty-Based Offline Variational Bayesian Reinforcement Learning for Robustness Under Diverse Data Corruptions Rui Yang, Jie Wang, Guoping Wu, Bin Li

TMLR 2023 Accelerating Batch Active Learning Using Continual Learning Techniques Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff Bilmes

ICCV 2023 BoxSnake: Polygonal Instance Segmentation with Box Supervision Rui Yang, Lin Song, Yixiao Ge, Xiu Li

NeurIPS 2023 Corruption-Robust Offline Reinforcement Learning with General Function Approximation Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang

JAIR 2023 Efficient Multi-Goal Reinforcement Learning via Value Consistency Prioritization Jiawei Xu, Shuxing Li, Rui Yang, Chun Yuan, Lei Han

JAIR 2023 Fair Influence Maximization in Large-Scale Social Networks Based on Attribute-Aware Reverse Influence Sampling Mingkai Lin, Lintan Sun, Rui Yang, Xusheng Liu, Yajuan Wang, Ding Li, Wenzhong Li, Sanglu Lu

NeurIPSW 2023 GOPlan: Goal-Conditioned Offline Reinforcement Learning by Planning with Learned Models Mianchu Wang, Rui Yang, Xi Chen, Meng Fang

NeurIPS 2023 GPT4Tools: Teaching Large Language Model to Use Tools via Self-Instruction Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan

WACV 2023 Indirect Adversarial Losses via an Intermediate Distribution for Training GANs Rui Yang, Duc Minh Vo, Hideki Nakayama

ICCV 2023 Learning Pseudo-Relations for Cross-Domain Semantic Segmentation Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Rui Yang, Licheng Jiao

AAAI 2023 Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang

NeurIPSW 2023 Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification Rui Yang, Wenrui Dai, Huajun She, Yiping P. Du, Dapeng Wu, Hongkai Xiong

ICML 2023 What Is Essential for Unseen Goal Generalization of Offline Goal-Conditioned RL? Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang

NeurIPSW 2023 scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-Cell RNA Sequencing Data Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Dapeng Wu, Hongkai Xiong

NeurIPS 2022 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou

NeurIPS 2022 RORL: Robust Offline Reinforcement Learning via Conservative Smoothing Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han

ICLR 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

ECCV 2022 ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li

ICLR 2021 FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li, Rui Yang, Dijun Luo

NeurIPSW 2021 MHER: Model-Based Hindsight Experience Replay Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li

CVPR 2017 Video Segmentation via Multiple Granularity Analysis Rui Yang, Bingbing Ni, Chao Ma, Yi Xu, Xiaokang Yang

IJCAI 2015 A Complete Epistemic Planner Without the Epistemic Closed World Assumption Hai Wan, Rui Yang, Liangda Fang, Yongmei Liu, Huada Xu

CVPRW 2009 Towards Unlocking Web Video: Automatic People Tracking and Clustering Alex Holub, Pierre Moreels, Atiq Islam, Andrei Makhanov, Rui Yang