Wang, Jianmin

95 publications

IJCAI 2025 DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang

MLOSS 2025 Depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers Kaichao You, Runsheng Bai, Meng Cao, Jianmin Wang, Ion Stoica, Mingsheng Long

ICLR 2025 Domain Guidance: A Simple Transfer Approach for a Pre-Trained Diffusion Model Jincheng Zhong, XiangCheng Zhang, Jianmin Wang, Mingsheng Long

ICLR 2025 Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long

NeurIPS 2025 FlashBias: Fast Computation of Attention with Bias Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long

IJCAI 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction Xuqiang Li, Wenjie Du, Jun Xia, Jianmin Wang, Xiaoqi Wang, Yang Yang, Yang Wang

NeurIPS 2025 PhySense: Sensor Placement Optimization for Accurate Physics Sensing Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long

ICML 2025 Sundial: A Family of Highly Capable Time Series Foundation Models Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long

ICLR 2025 Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long

ICML 2025 Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries Huakun Luo, Haixu Wu, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long

IJCAI 2024 An Image-Enhanced Molecular Graph Representation Learning Framework Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng

NeurIPS 2024 AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long

ICML 2024 CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long

ICML 2024 HarmonyDream: Task Harmonization Inside World Models Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long

ICML 2024 HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long

NeurIPS 2024 RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long

ICML 2024 TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yun-Zhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long

NeurIPS 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long

ICML 2024 Timer: Generative Pre-Trained Transformers Are Large Time Series Models Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long

ICML 2024 Transolver: A Fast Transformer Solver for PDEs on General Geometries Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long

ICML 2023 CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long

ICML 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long

NeurIPS 2023 Koopa: Learning Non-Stationary Time Series Dynamics with Koopman Predictors Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long

NeurIPS 2023 SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long

ICML 2023 Solving High-Dimensional PDEs with Latent Spectral Models Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long

ICLR 2023 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long

ICLR 2022 Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long

NeurIPS 2022 Debiased Self-Training for Semi-Supervised Learning Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long

ICLR 2022 Decoupled Adaptation for Cross-Domain Object Detection Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long

ICML 2022 Flowformer: Linearizing Transformers with Conservation Flows Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long

NeurIPS 2022 Hub-Pathway: Transfer Learning from a Hub of Pre-Trained Models Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long

NeurIPS 2022 Non-Stationary Transformers: Exploring the Stationarity in Time Series Forecasting Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long

JMLR 2022 Ranking and Tuning Pre-Trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long

NeurIPS 2022 Supported Policy Optimization for Offline Reinforcement Learning Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long

ICLR 2022 X-Model: Improving Data Efficiency in Deep Learning with a Minimax Model Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long

NeurIPS 2021 Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long

NeurIPS 2021 Cycle Self-Training for Domain Adaptation Hong Liu, Jianmin Wang, Mingsheng Long

ICML 2021 LogME: Practical Assessment of Pre-Trained Models for Transfer Learning Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long

CVPR 2021 MetaSets: Meta-Learning on Point Sets for Generalizable Representations Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long

CVPR 2021 MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long

CVPR 2021 Open Domain Generalization with Domain-Augmented Meta-Learning Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long

CVPR 2021 Regressive Domain Adaptation for Unsupervised Keypoint Detection Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long

ICML 2021 Representation Subspace Distance for Domain Adaptation Regression Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long

ICML 2021 Self-Tuning for Data-Efficient Deep Learning Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang

CVPR 2021 Transferable Query Selection for Active Domain Adaptation Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long

ICML 2021 Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long

NeurIPS 2020 Co-Tuning for Transfer Learning Kaichao You, Zhi Kou, Mingsheng Long, Jianmin Wang

ICLR 2020 How Does Learning Rate Decay Help Modern Neural Networks? Kaichao You, Mingsheng Long, Jianmin Wang, Michael I. Jordan

NeurIPS 2020 Learning to Adapt to Evolving Domains Hong Liu, Mingsheng Long, Jianmin Wang, Yu Wang

ECCV 2020 Learning to Detect Open Classes for Universal Domain Adaptation Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang

ECCV 2020 Minimum Class Confusion for Versatile Domain Adaptation Ying Jin, Ximei Wang, Mingsheng Long(), Jianmin Wang

AAAI 2020 Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification Liang Li, Weirui Ye, Mingsheng Long, Yateng Tang, Jin Xu, Jianmin Wang

NeurIPS 2020 Stochastic Normalization Zhi Kou, Kaichao You, Mingsheng Long, Jianmin Wang

NeurIPS 2020 Transferable Calibration with Lower Bias and Variance in Domain Adaptation Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan

ICML 2020 Unsupervised Transfer Learning for Spatiotemporal Predictive Networks Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang

NeurIPS 2019 Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long, Jianmin Wang

ICML 2019 Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang

ICML 2019 Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers Hong Liu, Mingsheng Long, Jianmin Wang, Michael Jordan

AAAI 2019 Transferable Attention for Domain Adaptation Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang

AAAI 2019 Transferable Curriculum for Weakly-Supervised Domain Adaptation Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang

NeurIPS 2019 Transferable Normalization: Towards Improving Transferability of Deep Neural Networks Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I Jordan

NeurIPS 2018 Conditional Adversarial Domain Adaptation Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I Jordan

ECCV 2018 Cross-Modal Hamming Hashing Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang

NeurIPS 2018 Generalized Zero-Shot Learning with Deep Calibration Network Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I Jordan

AAAI 2018 Multi-Adversarial Domain Adaptation Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang

ECCV 2018 Partial Adversarial Domain Adaptation Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang

IJCAI 2018 PredCNN: Predictive Learning with Cascade Convolutions Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang

ICML 2018 PredRNN++: Towards a Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning Yunbo Wang, Zhifeng Gao, Mingsheng Long, Jianmin Wang, Philip S Yu

AAAI 2018 Transfer Adversarial Hashing for Hamming Space Retrieval Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang

AAAI 2018 Unsupervised Domain Adaptation with Distribution Matching Machines Yue Cao, Mingsheng Long, Jianmin Wang

AAAI 2017 Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

ICML 2017 Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan

CVPR 2017 Deep Visual-Semantic Quantization for Efficient Image Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

ICCV 2017 HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu

NeurIPS 2017 Learning Multiple Tasks with Multilinear Relationship Networks Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S Yu

NeurIPS 2017 PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs Yunbo Wang, Mingsheng Long, Jianmin Wang, Zhifeng Gao, Philip S Yu

CVPR 2017 Spatiotemporal Pyramid Network for Video Action Recognition Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu

AAAI 2017 Transitive Hashing Network for Heterogeneous Multimedia Retrieval Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang

AAAI 2016 Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao

AAAI 2016 Deep Quantization Network for Efficient Image Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen

IJCAI 2016 Semi-Supervised Active Learning with Cross-Class Sample Transfer Yuchen Guo, Guiguang Ding, Yue Gao, Jianmin Wang

AAAI 2016 Transductive Zero-Shot Recognition via Shared Model Space Learning Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang

NeurIPS 2016 Unsupervised Domain Adaptation with Residual Transfer Networks Mingsheng Long, Han Zhu, Jianmin Wang, Michael I Jordan

AAAI 2015 A Personalized Interest-Forgetting Markov Model for Recommendations Jun Chen, Chaokun Wang, Jianmin Wang

AAAI 2015 Learning Predictable and Discriminative Attributes for Visual Recognition Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang

ICML 2015 Learning Transferable Features with Deep Adaptation Networks Mingsheng Long, Yue Cao, Jianmin Wang, Michael Jordan

CVPR 2015 Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang

AAAI 2015 Will You "Reconsume" the near past? Fast Prediction on Short-Term Reconsumption Behaviors Jun Chen, Chaokun Wang, Jianmin Wang

AAAI 2014 Learning Temporal Dynamics of Behavior Propagation in Social Networks Jun Zhang, Chaokun Wang, Jianmin Wang

ICML 2014 Multi-Label Classification via Feature-Aware Implicit Label Space Encoding Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang

CVPR 2014 Transfer Joint Matching for Unsupervised Domain Adaptation Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu

CVPR 2013 Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Xiaojun Ye

ICCV 2013 Transfer Feature Learning with Joint Distribution Adaptation Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu

CVPR 2013 Transfer Sparse Coding for Robust Image Representation Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu

AAAI 2012 Transfer Learning with Graph Co-Regularization Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang