Mingsheng Long
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
93
Venues
18
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
93 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Long-Sequence Recommendation Models Need Decoupled Embeddings. | Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long |
| 2025 | ICLR | Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models. | Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long |
| 2025 | ICLR | Timer-XL: Long-Context Transformers for Unified Time Series Forecasting. | Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long |
| 2025 | ICLR | Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model. | Jincheng Zhong, Xiangcheng Zhang, Jianmin Wang, Mingsheng Long |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Trajectory World Models for Heterogeneous Environments. | Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long |
| 2025 | ICML | Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers. | Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long |
| 2025 | KDD | CompilerDream: Learning a Compiler World Model for General Code Optimization. | Chaoyi Deng, Jialong Wu, Ningya Feng, Jianmin Wang, Mingsheng Long |
| 2025 | SOSP | Jenga: Effective Memory Management for Serving LLM with Heterogeneity. | Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica |
| 2024 | ICLR | iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. | Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long |
| 2024 | ICLR | Efficient ConvBN Blocks for Transfer Learning and Beyond. | Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long |
| 2024 | ICML | CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding. | Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long |
| 2024 | ICML | TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling. | Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long |
| 2024 | ICML | On the Embedding Collapse when Scaling up Recommendation Models. | Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long |
| 2024 | ICML | Timer: Generative Pre-trained Transformers Are Large Time Series Models. | Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long |
| 2024 | ICML | HarmonyDream: Task Harmonization Inside World Models. | Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long |
| 2024 | ICML | Transolver: A Fast Transformer Solver for PDEs on General Geometries. | Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long |
| 2024 | ICML | HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction. | Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long |
| 2024 | ICML | Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers. | Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long |
| 2024 | KDD | BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. | Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long, Jianmin Wang |
| 2024 | WWW | Recommender Transformers with Behavior Pathways. | Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long |
| 2023 | ICLR | TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. | Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long |
| 2023 | ICML | Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms. | Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long |
| 2023 | ICML | CLIPood: Generalizing CLIP to Out-of-Distributions. | Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long |
| 2023 | ICML | Solving High-Dimensional PDEs with Latent Spectral Models. | Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long |
| 2022 | CoRL | Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. | Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long |
| 2022 | CVPR | Continual Predictive Learning from Videos. | Geng Chen, Wendong Zhang, Han Lu, Siyu Gao, Yunbo Wang, Mingsheng Long, Xiaokang Yang |
| 2022 | ICLR | Decoupled Adaptation for Cross-Domain Object Detection. | Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long |
| 2022 | ICLR | X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. | Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long |
| 2022 | ICLR | Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. | Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long |
| 2022 | ICML | Flowformer: Linearizing Transformers with Conservation Flows. | Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long |
| 2021 | CVPR | Transferable Query Selection for Active Domain Adaptation. | Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long |
| 2021 | CVPR | MetaSets: Meta-Learning on Point Sets for Generalizable Representations. | Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long |
| 2021 | CVPR | Regressive Domain Adaptation for Unsupervised Keypoint Detection. | Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long |
| 2021 | CVPR | Open Domain Generalization with Domain-Augmented Meta-Learning. | Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long |
| 2021 | CVPR | MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions. | Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long |
| 2021 | ICML | Representation Subspace Distance for Domain Adaptation Regression. | Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long |
| 2021 | ICML | Zoo-Tuning: Adaptive Transfer from A Zoo of Models. | Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long |
| 2021 | ICML | Self-Tuning for Data-Efficient Deep Learning. | Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang |
| 2021 | ICML | LogME: Practical Assessment of Pre-trained Models for Transfer Learning. | Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long |
| 2020 | AAAI | Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification. | Liang Li, Weirui Ye, Mingsheng Long, Yateng Tang, Jin Xu, Jianmin Wang |
| 2020 | BMVC | Transferring Pretrained Networks to Small Data via Category Decorrelation. | Ying Jin, Zhangjie Cao, Mingsheng Long, Jianmin Wang |
| 2020 | CVPR | Probabilistic Video Prediction From Noisy Data With a Posterior Confidence. | Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum |
| 2020 | CVPR | Progressive Adversarial Networks for Fine-Grained Domain Adaptation. | Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang |
| 2020 | ECCV | Learning to Detect Open Classes for Universal Domain Adaptation. | Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang |
| 2020 | ECCV | Minimum Class Confusion for Versatile Domain Adaptation. | Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang |
| 2020 | ECCV | Negative Margin Matters: Understanding Margin in Few-Shot Classification. | Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu |
| 2020 | ICML | Unsupervised Transfer Learning for Spatiotemporal Predictive Networks. | Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang |
| 2019 | AAAI | Transferable Curriculum for Weakly-Supervised Domain Adaptation. | Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang |
| 2019 | AAAI | Transferable Attention for Domain Adaptation. | Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang |
| 2019 | CVPR | Learning to Transfer Examples for Partial Domain Adaptation. | Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang |
| 2019 | CVPR | Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. | Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang |
| 2019 | CVPR | Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics. | Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu |
| 2019 | CVPR | Universal Domain Adaptation. | Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan |
| 2019 | ICCV | Maximum-Margin Hamming Hashing. | Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu |
| 2019 | ICLR | Eidetic 3D LSTM: A Model for Video Prediction and Beyond. | Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei |
| 2019 | ICML | Bridging Theory and Algorithm for Domain Adaptation. | Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael I. Jordan |
| 2019 | ICML | Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation. | Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang |
| 2019 | ICML | Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers. | Hong Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan |
| 2019 | ICML | Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation. | Kaichao You, Ximei Wang, Mingsheng Long, Michael I. Jordan |
| 2018 | AAAI | Transfer Adversarial Hashing for Hamming Space Retrieval. | Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang |
| 2018 | AAAI | Unsupervised Domain Adaptation With Distribution Matching Machines. | Yue Cao, Mingsheng Long, Jianmin Wang |
| 2018 | AAAI | Multi-Adversarial Domain Adaptation. | Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang |
| 2018 | CVPR | Partial Transfer Learning With Selective Adversarial Networks. | Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan |
| 2018 | CVPR | Deep Cauchy Hashing for Hamming Space Retrieval. | Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang |
| 2018 | CVPR | HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN. | Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang |
| 2018 | ECCV | Cross-Modal Hamming Hashing. | Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang |
| 2018 | ECCV | Partial Adversarial Domain Adaptation. | Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang |
| 2018 | ICML | 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 |
| 2018 | IJCAI | PredCNN: Predictive Learning with Cascade Convolutions. | Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang |
| 2017 | AAAI | Transitive Hashing Network for Heterogeneous Multimedia Retrieval. | Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang |
| 2017 | AAAI | Collective Deep Quantization for Efficient Cross-Modal Retrieval. | Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu |
| 2017 | BMVC | Correlation Hashing Network for Efficient Cross-Modal Retrieval. | Yue Cao, Mingsheng Long, Jianmin Wang |
| 2017 | CVPR | Deep Visual-Semantic Quantization for Efficient Image Retrieval. | Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu |
| 2017 | CVPR | Spatiotemporal Pyramid Network for Video Action Recognition. | Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu |
| 2017 | ICCV | HashNet: Deep Learning to Hash by Continuation. | Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu |
| 2017 | ICML | Deep Transfer Learning with Joint Adaptation Networks. | Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan |
| 2016 | AAAI | Deep Quantization Network for Efficient Image Retrieval. | Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen |
| 2016 | AAAI | Deep Hashing Network for Efficient Similarity Retrieval. | Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao |
| 2016 | KDD | Deep Visual-Semantic Hashing for Cross-Modal Retrieval. | Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu |
| 2016 | SIGIR | Composite Correlation Quantization for Efficient Multimodal Retrieval. | Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu |
| 2015 | ICML | Learning Transferable Features with Deep Adaptation Networks. | Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan |
| 2014 | BigData | Inherent Replica Inconsistency in Cassandra. | Xiangdong Huang, Jianmin Wang, Jian Bai, Guiguang Ding, Mingsheng Long |
| 2014 | CVPR | Transfer Joint Matching for Unsupervised Domain Adaptation. | Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu |
| 2014 | ICPR | Local Hybrid Coding for Image Classification. | Wu Xiang, Jianmin Wang, Mingsheng Long |
| 2013 | CVPR | Transfer Sparse Coding for Robust Image Representation. | Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu |
| 2013 | ICCV | Transfer Feature Learning with Joint Distribution Adaptation. | Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu |
| 2013 | PAKDD | Twin Bridge Transfer Learning for Sparse Collaborative Filtering. | Jiangfeng Shi, Mingsheng Long, Qiang Liu, Guiguang Ding, Jianmin Wang |
| 2012 | AAAI | Topic Correlation Analysis for Cross-Domain Text Classification. | Lianghao Li, Xiaoming Jin, Mingsheng Long |
| 2012 | AAAI | Transfer Learning with Graph Co-Regularization. | Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang |
| 2012 | SDM | Dual Transfer Learning. | Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang |
| 2010 | ICDM | Transfer Learning via Cluster Correspondence Inference. | Mingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin Wang, Dou Shen |