Bian, Jiang

99 publications

ICML 2025 AdaptiveStep: Automatically Dividing Reasoning Step Through Model Confidence Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai, Jason Klein Liu, Chonghan Liu, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin

AAAI 2025 BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models Chengkun Sun, Jinqian Pan, Russell Stevens Terry, Jiang Bian, Jie Xu

ICML 2025 BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian

AAAI 2025 Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities Chengkun Sun, Jinqian Pan, Zhuoli Jin, Russell Stevens Terry, Jiang Bian, Jie Xu

ICML 2025 CAD-Editor: A Locate-Then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian

NeurIPS 2025 CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop Weijian Ma, Shizhao Sun, Ruiyu Wang, Jiang Bian

ICML 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang

ICLRW 2025 Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models? Zhenwei Zhang, Jiawen Zhang, Shun Zheng, Yuantao Gu, Jiang Bian

NeurIPS 2025 Dyn-O: Building Structured World Models with Object-Centric Representations Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian

ICLR 2025 Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian

ICLR 2025 FlashMask: Efficient and Rich Mask Extension of FlashAttention Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang

ICLR 2025 FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-Tuned Large Language Models Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian

ICML 2025 From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian

CVPR 2025 From Elements to Design: A Layered Approach for Automatic Graphic Design Composition Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian

NeurIPS 2025 Functional Complexity-Adaptive Temporal Tensor Decomposition Panqi Chen, Lei Cheng, Jianlong Li, Weichang Li, Weiqing Liu, Jiang Bian, Shikai Fang

IJCAI 2025 GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan

NeurIPS 2025 Generating Full-Field Evolution of Physical Dynamics from Irregular Sparse Observations Panqi Chen, Yifan Sun, Lei Cheng, Yang Yang, Weichang Li, Yang Liu, Weiqing Liu, Jiang Bian, Shikai Fang

AAAI 2025 InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian

TMLR 2025 Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-Agent Reinforcement Learning Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian

ICLR 2025 MAP: Low-Compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

NeurIPS 2025 MIRA: Medical Time Series Foundation Model for Real-World Health Data Hao Li, Bowen Deng, Chang Xu, ZhiYuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian

ICLR 2025 MarS: A Financial Market Simulation Engine Powered by Generative Foundation Model Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

NeurIPS 2025 NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data Haolong Qian, Xianliang Yang, Ling Zhang, Lei Song, Jiang Bian, Chun Yuan

ICML 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian

NeurIPS 2025 R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization Yuante Li, Xu Yang, Xiao Yang, Xisen Wang, Weiqing Liu, Jiang Bian

ICML 2025 Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian

AAAI 2025 TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian

ICML 2025 Unveiling Markov Heads in Pretrained Language Models for Offline Reinforcement Learning Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian

CVPR 2025 VidTwin: Video VAE with Decoupled Structure and Dynamics Yuchi Wang, Junliang Guo, Xinyi Xie, Tianyu He, Xu Sun, Jiang Bian

ICLR 2025 Video In-Context Learning: Autoregressive Transformers Are Zero-Shot Video Imitators Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian

NeurIPS 2025 What Do Latent Action Models Actually Learn? Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian

AAAI 2025 XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications Tingsong Xiao, Zelin Xu, Wenchong He, Zhengkun Xiao, Yupu Zhang, Zibo Liu, Shigang Chen, My T. Thai, Jiang Bian, Parisa Rashidi, Zhe Jiang

TMLR 2025 \copyright Plug-in Authorization for Human Copyright Protection in Text-to-Image Model Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu

NeurIPS 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian

ICLR 2024 BatteryML: An Open-Source Platform for Machine Learning on Battery Degradation Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian

ECML-PKDD 2024 Boosting Patient Representation Learning via Graph Contrastive Learning Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim

NeurIPS 2024 Compositional 3D-Aware Video Generation with LLM Director Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian

ICLR 2024 Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang

ICMLW 2024 DPO Meets PPO: Reinforced Token Optimization for RLHF Han Zhong, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang

NeurIPSW 2024 Data-Efficient Training by Evolved Sampling Ziheng Cheng, Zhong Li, Jiang Bian

IJCAI 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim

NeurIPS 2024 ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li

ECCV 2024 End-to-End Rate-Distortion Optimized 3D Gaussian Representation Henan Wang, Hanxin Zhu, Tianyu He, Runsen Feng, Jiajun Deng, Jiang Bian, Zhibo Chen

ICLR 2024 GAIA: Zero-Shot Talking Avatar Generation Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian

MLJ 2024 GS2P: A Generative Pre-Trained Learning to Rank Model with Over-Parameterization for Web-Scale Search Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

IJCAI 2024 GS2P: A Generative Pre-Trained Learning to Rank Model with Over-Parameterization for Web-Scale Search (Extended Abstract) Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

NeurIPSW 2024 MAP: Model Merging with Amortized Pareto Front Using Limited Computation Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio

ICLR 2024 MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian

TMLR 2024 Mildly Constrained Evaluation Policy for Offline Reinforcement Learning Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian

ICLR 2024 NaturalSpeech 2: Latent Diffusion Models Are Natural and Zero-Shot Speech and Singing Synthesizers Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian

ICML 2024 NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao

TMLR 2024 NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu

ICML 2024 Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian

NeurIPS 2024 ProbTS: Benchmarking Point and Distributional Forecasting Across Diverse Prediction Horizons Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian

ICLR 2024 PromptTTS 2: Describing and Generating Voices with Text Prompt Yichong Leng, Zhifang Guo, Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiangyang Li, Sheng Zhao, Tao Qin, Jiang Bian

NeurIPS 2024 Protecting Your LLMs with Information Bottleneck Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian

ICLRW 2024 RD2Bench: Toward Data-Centric Automatic R&D Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian

AAAI 2024 Regeneration Learning: A Learning Paradigm for Data Generation Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio

NeurIPSW 2024 Scaling Generative Tabular Learning for Large Language Models Yiming Sun, Xumeng Wen, Shun Zheng, Xiaowei Jia, Jiang Bian

ICML 2024 UniAudio: Towards Universal Audio Generation with Large Language Models Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Haohan Guo, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Zhou Zhao, Xixin Wu, Helen M. Meng

ICLR 2024 Whittle Index with Multiple Actions and State Constraint for Inventory Management Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian

ICLRW 2024 ©Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu

NeurIPS 2023 AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, Sheng Zhao

NeurIPS 2023 Distributional Pareto-Optimal Multi-Objective Reinforcement Learning Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens

ICLR 2023 Exploring the Limits of Differentially Private Deep Learning with Group-Wise Clipping Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

NeurIPS 2023 Fair Graph Distillation Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu

AAAI 2023 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian

ICCV 2023 HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrusaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian

AISTATS 2023 Learning Physics-Informed Neural Networks Without Stacked Back-Propagation Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu

AAAI 2023 Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou

NeurIPS 2023 On the Generalization Properties of Diffusion Models Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian

AAAI 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian

ICML 2023 Robust Situational Reinforcement Learning in Face of Context Disturbances Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian

AAAI 2023 VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian

AAAI 2022 DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian

ICLR 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu

NeurIPS 2022 Efficient and Effective Multi-Task Grouping via Meta Learning on Task Combinations Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian

IJCAI 2022 Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li

IJCAI 2021 Independence-Aware Advantage Estimation Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu

AAAI 2021 Learning to Reweight with Deep Interactions Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li

IJCAI 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu

MLJ 2021 MODES: Model-Based Optimization on Distributed Embedded Systems Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jörg Rahnenführer, Haoyi Xiong, Jian-Jia Chen

AAAI 2021 Universal Trading for Order Execution with Oracle Policy Distillation Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu

ECCV 2020 Invertible Image Rescaling Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu

AAAI 2020 Light Multi-Segment Activation for Model Compression Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu

NeurIPS 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

NeurIPS 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu

AAAI 2019 SpHMC: Spectral Hamiltonian Monte Carlo Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan

AAAI 2019 Trust Region Evolution Strategies Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

ACML 2019 Unified Policy Optimization for Robust Reinforcement Learning Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang

AAAI 2018 CSWA: Aggregation-Free Spatial-Temporal Community Sensing Jiang Bian, Haoyi Xiong, Yanjie Fu, Sajal K. Das

IJCAI 2018 De-Biasing Covariance-Regularized Discriminant Analysis Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo

AAAI 2018 Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu

IJCAI 2017 Dual Inference for Machine Learning Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

ICML 2017 Dual Supervised Learning Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu

ECML-PKDD 2017 Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu

ECML-PKDD 2014 Knowledge-Powered Deep Learning for Word Embedding Jiang Bian, Bin Gao, Tie-Yan Liu

AAAI 2014 Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu

UAI 2010 Hybrid Generative/Discriminative Learning for Automatic Image Annotation Shuang-Hong Yang, Jiang Bian, Hongyuan Zha