Mingsheng Long

260 papers A* 107A 6B 2Misc 1Journal 130Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. CoRR Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long
2026	J	`jnl`	Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers. CoRR Yuanxu Sun, Yuezhou Ma, Haixu Wu, Guanyang Zeng, Muye Chen, Jianmin Wang, Mingsheng Long
2026	J	`jnl`	DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters. CoRR Haoran Zhang, Haixuan Liu, Yong Liu, Yunzhong Qiu, Yuxuan Wang, Jianmin Wang, Mingsheng Long
2026	J	`jnl`	GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training. CoRR Haixu Wu, Minghao Guo, Zongyi Li, Zhiyang Dou, Mingsheng Long, Kaiming He, Wojciech Matusik
2026	J	`jnl`	It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks. CoRR Zhongzheng Qiao, Sheng Pan, Anni Wang, Viktoriya Zhukova, Yong Liu, Xudong Jiang, Qingsong Wen, Mingsheng Long, Ming Jin, Chenghao Liu
2026	J	`jnl`	JEPA-VLA: Video Predictive Embedding is Needed for VLA Models. CoRR Shangchen Miao, Ningya Feng, Jialong Wu, Ye Lin, Xu He, Dong Li, Mingsheng Long
2026	J	`jnl`	Regression Models Meet Foundation Models: A Hybrid-AI Approach to Practical Electricity Price Forecasting. CoRR Yunzhong Qiu, Binzhu Li, Hao Wei, Shenglin Weng, Chen Wang, Zhongyi Pei, Mingsheng Long, Jianmin Wang
2026	J	`jnl`	Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling. CoRR Yong Liu, Xingjian Su, Shiyu Wang, Haoran Zhang, Haixuan Liu, Yuxuan Wang, Zhou Ye, Yang Xiang, Jianmin Wang, Mingsheng Long
2026	J	`jnl`	Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries. CoRR Hang Zhou, Haixu Wu, Haonan Shangguan, Yuezhou Ma, Huikun Weng, Jianmin Wang, Mingsheng Long
2026	J	`jnl`	Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models. CoRR Jialong Wu, Xiaoying Zhang, Hongyi Yuan, Xiangcheng Zhang, Tianhao Huang, Changjing He, Chaoyi Deng, Renrui Zhang, Youbin Wu, Mingsheng Long
2025	J	`jnl`	Accuracy Law for the Future of Deep Time Series Forecasting. CoRR Yuxuan Wang, Haixu Wu, Yuezhou Ma, Yuchen Fang, Ziyi Zhang, Yong Liu, Shiyu Wang, Zhou Ye, Yang Xiang, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	CoRA: Covariate-Aware Adaptation of Time Series Foundation Models. CoRR Guo Qin, Zhi Chen, Yong Liu, Zhiyuan Shi, Haixuan Liu, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025	—	`conf`	CompilerDream: Learning a Compiler World Model for General Code Optimization. KDD (2) Chaoyi Deng, Jialong Wu, Ningya Feng, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Consistent World Models via Foresight Diffusion. CoRR Yu Zhang, Xingzhuo Guo, Haoran Xu, Mingsheng Long
2025	A*	`conf`	Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model. ICLR Jincheng Zhong, Xiangcheng Zhang, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model. CoRR Jincheng Zhong, Xiangcheng Zhang, Jianmin Wang, Mingsheng Long
2025	A*	`conf`	Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models. ICLR Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models. CoRR Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	FlashBias: Fast Computation of Attention with Bias. CoRR Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long
2025	A*	`conf`	Jenga: Effective Memory Management for Serving LLM with Heterogeneity. SOSP 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
2025	J	`jnl`	Jenga: Effective Memory Management for Serving LLM with Heterogeneity. CoRR 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
2025	A*	`conf`	Long-Sequence Recommendation Models Need Decoupled Embeddings. ICLR Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long
2025	J	`jnl`	Mitigating the Noise Shift for Denoising Generative Models via Noise Awareness Guidance. CoRR Jincheng Zhong, Boyuan Jiang, Xin Tao, Pengfei Wan, Kun Gai, Mingsheng Long
2025	J	`jnl`	PhySense: Sensor Placement Optimization for Accurate Physics Sensing. CoRR Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks. CoRR Haixu Wu, Yuezhou Ma, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	RLVR-World: Training World Models with Reinforcement Learning. CoRR Jialong Wu, Shaofeng Yin, Ningya Feng, Mingsheng Long
2025	A*	`conf`	Sundial: A Family of Highly Capable Time Series Foundation Models. ICML Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Sundial: A Family of Highly Capable Time Series Foundation Models. CoRR Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025	A*	`conf`	Timer-XL: Long-Context Transformers for Unified Time Series Forecasting. ICLR Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025	A*	`conf`	TimesBERT: A BERT-Style Foundation Model for Time Series Understanding. ACM Multimedia Haoran Zhang, Yong Liu, Yunzhong Qiu, Haixuan Liu, Zhongyi Pei, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	TimesBERT: A BERT-Style Foundation Model for Time Series Understanding. CoRR Haoran Zhang, Yong Liu, Yunzhong Qiu, Haixuan Liu, Zhongyi Pei, Jianmin Wang, Mingsheng Long
2025	A*	`conf`	Trajectory World Models for Heterogeneous Environments. ICML Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long
2025	J	`jnl`	Trajectory World Models for Heterogeneous Environments. CoRR Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long
2025	A*	`conf`	Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries. ICML Huakun Luo, Haixu Wu, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries. CoRR Huakun Luo, Haixu Wu, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long
2025	A*	`conf`	Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers. ICML Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long
2025	J	`jnl`	Vid2World: Crafting Video Diffusion Models to Interactive World Models. CoRR Siqiao Huang, Jialong Wu, Qixing Zhou, Shangchen Miao, Mingsheng Long
2025	J	`jnl`	depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers. J. Mach. Learn. Res. Kaichao You, Runsheng Bai, Meng Cao, Jianmin Wang, Ion Stoica, Mingsheng Long
2024	A*	`conf`	AutoTimes: Autoregressive Time Series Forecasters via Large Language Models. NeurIPS Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	AutoTimes: Autoregressive Time Series Forecasters via Large Language Models. CoRR Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter Optimization. KDD Zhongyi Pei, Zhiyao Cen, Yipeng Huang, Chen Wang, Lin Liu, Philip S. Yu, Mingsheng Long, Jianmin Wang
2024	—	`conf`	Benchmarking Time Series Databases: Current State and Future Perspectives (Panel). TPCTC Lei Chen, Qiang Li, Mingsheng Long, Raghu Nambiar, Hongzhi Wang, Jianmin Wang, Pengcheng Zheng
2024	A*	`conf`	CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding. ICML Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding. CoRR Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Deep Time Series Models: A Comprehensive Survey and Benchmark. CoRR Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Mingsheng Long, Jianmin Wang
2024	A*	`conf`	DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction. NeurIPS Qilong Ma, Haixu Wu, Lanxiang Xing, Shangchen Miao, Mingsheng Long
2024	A*	`conf`	Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting. NeurIPS Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long
2024	J	`jnl`	Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting. CoRR Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long
2024	J	`jnl`	Editorial: Learning With Fewer Labels in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars
2024	A*	`conf`	Efficient ConvBN Blocks for Transfer Learning and Beyond. ICLR Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long
2024	J	`jnl`	EuLagNet: Eulerian Fluid Prediction with Lagrangian Dynamics. CoRR Qilong Ma, Haixu Wu, Lanxiang Xing, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	HarmonyDream: Task Harmonization Inside World Models. ICML Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction. ICML Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Long-Sequence Recommendation Models Need Decoupled Embeddings. CoRR Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long
2024	J	`jnl`	Metadata Matters for Time Series: Informative Forecasting with Transformers. CoRR Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Li Zhang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers. ICML Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long
2024	A*	`conf`	On the Embedding Collapse when Scaling up Recommendation Models. ICML Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
2024	J	`jnl`	One Fits Many: Class Confusion Loss for Versatile Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Ying Jin, Zhangjie Cao, Ximei Wang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	Recommender Transformers with Behavior Pathways. WWW Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long
2024	A*	`conf`	RoPINN: Region Optimized Physics-Informed Neural Networks. NeurIPS Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	RoPINN: Region Optimized Physics-Informed Neural Networks. CoRR Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Supercompiler Code Optimization with Zero-Shot Reinforcement Learning. CoRR Jialong Wu, Chaoyi Deng, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling. ICML Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling. CoRR Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables. NeurIPS Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables. CoRR Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Yunzhong Qiu, Haoran Zhang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Timer-XL: Long-Context Transformers for Unified Time Series Forecasting. CoRR Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	Timer: Generative Pre-trained Transformers Are Large Time Series Models. ICML Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Timer: Transformers for Time Series Analysis at Scale. CoRR Yong Liu, Haoran Zhang, Chenyu Li, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	Transolver: A Fast Transformer Solver for PDEs on General Geometries. ICML Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Transolver: A Fast Transformer Solver for PDEs on General Geometries. CoRR Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers. CoRR Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long
2024	J	`jnl`	depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers. CoRR Kaichao You, Runsheng Bai, Meng Cao, Jianmin Wang, Ion Stoica, Mingsheng Long
2024	A*	`conf`	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. ICLR Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2024	A*	`conf`	iVideoGPT: Interactive VideoGPTs are Scalable World Models. NeurIPS Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
2024	J	`jnl`	iVideoGPT: Interactive VideoGPTs are Scalable World Models. CoRR Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
2023	—	`conf`	Bi-tuning: Efficient Transfer from Pre-trained Models. ECML/PKDD (5) Jincheng Zhong, Haoyu Ma, Ximei Wang, Zhi Kou, Mingsheng Long
2023	A*	`conf`	CLIPood: Generalizing CLIP to Out-of-Distributions. ICML Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	CLIPood: Generalizing CLIP to Out-of-Distributions. CoRR Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
2023	A*	`conf`	Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms. ICML Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long
2023	A*	`conf`	ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. NeurIPS Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
2023	J	`jnl`	ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. CoRR Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
2023	J	`jnl`	From Big to Small: Adaptive Learning to Partial-Set Domains. IEEE Trans. Pattern Anal. Mach. Intell. Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Harmony World Models: Boosting Sample Efficiency for Model-based Reinforcement Learning. CoRR Haoyu Ma, Jialong Wu, Ningya Feng, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	HelmSim: Learning Helmholtz Dynamics for Interpretable Fluid Simulation. CoRR Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Interpretable weather forecasting for worldwide stations with a unified deep model. Nat. Mac. Intell. Haixu Wu, Hang Zhou, Mingsheng Long, Jianmin Wang
2023	A*	`conf`	Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors. NeurIPS Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors. CoRR Yong Liu, Chenyu Li, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2023	J	`jnl`	On the Embedding Collapse when Scaling up Recommendation Models. CoRR Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
2023	A*	`conf`	Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning. NeurIPS Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long
2023	J	`jnl`	Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning. CoRR Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long
2023	J	`jnl`	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2023	A*	`conf`	SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. NeurIPS Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. CoRR Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Skilful nowcasting of extreme precipitation with NowcastNet. Nat. Yuchen Zhang, Mingsheng Long, Kaiyuan Chen, Lanxiang Xing, Ronghua Jin, Michael I. Jordan, Jianmin Wang
2023	A*	`conf`	Solving High-Dimensional PDEs with Latent Spectral Models. ICML Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Solving High-Dimensional PDEs with Latent Spectral Models. CoRR Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
2023	A*	`conf`	TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. ICLR Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Tune-Mode ConvBN Blocks For Efficient Transfer Learning. CoRR Kaichao You, Anchang Bao, Guo Qin, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long
2023	J	`jnl`	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. CoRR Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2022	A*	`conf`	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. ICLR Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Continual Predictive Learning from Videos. CVPR Geng Chen, Wendong Zhang, Han Lu, Siyu Gao, Yunbo Wang, Mingsheng Long, Xiaokang Yang
2022	J	`jnl`	Continual Predictive Learning from Videos. CoRR Geng Chen, Wendong Zhang, Han Lu, Siyu Gao, Yunbo Wang, Mingsheng Long, Xiaokang Yang
2022	J	`jnl`	Debiased Pseudo Labeling in Self-Training. CoRR Baixu Chen, Junguang Jiang, Ximei Wang, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Debiased Self-Training for Semi-Supervised Learning. NeurIPS Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Decoupled Adaptation for Cross-Domain Object Detection. ICLR Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Flowformer: Linearizing Transformers with Conservation Flows. ICML Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Flowformer: Linearizing Transformers with Conservation Flows. CoRR Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	From Big to Small: Adaptive Learning to Partial-Set Domains. CoRR Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. NeurIPS Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. CoRR Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CoRR Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting. NeurIPS Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting. CoRR Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
2022	Misc	`conf`	Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRL Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
2022	J	`jnl`	Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRR Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
2022	J	`jnl`	Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs. J. Mach. Learn. Res. Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long
2022	J	`jnl`	Recommender Transformers with Behavior Pathways. CoRR Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long
2022	A*	`conf`	Supported Policy Optimization for Offline Reinforcement Learning. NeurIPS Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Supported Policy Optimization for Offline Reinforcement Learning. CoRR Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. CoRR Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Transferability in Deep Learning: A Survey. CoRR Junguang Jiang, Yang Shu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	VideoDG: Generalizing Temporal Relations in Videos to Novel Domains. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyu Yao, Yunbo Wang, Jianmin Wang, Philip S. Yu, Mingsheng Long
2022	A*	`conf`	X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. ICLR Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. CoRR Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. NeurIPS Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. CoRR Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Cycle Self-Training for Domain Adaptation. NeurIPS Hong Liu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Cycle Self-Training for Domain Adaptation. CoRR Hong Liu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Decoupled Adaptation for Cross-Domain Object Detection. CoRR Junguang Jiang, Baixu Chen, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	LogME: Practical Assessment of Pre-trained Models for Transfer Learning. ICML Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	LogME: Practical Assessment of Pre-trained Models for Transfer Learning. CoRR Kaichao You, Yong Liu, Mingsheng Long, Jianmin Wang
2021	A*	`conf`	MetaSets: Meta-Learning on Point Sets for Generalizable Representations. CVPR Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. CoRR Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions. CVPR Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions. CoRR Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wang
2021	J	`jnl`	Omni-Training for Data-Efficient Deep Learning. CoRR Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Open Domain Generalization with Domain-Augmented Meta-Learning. CVPR Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Open Domain Generalization with Domain-Augmented Meta-Learning. CoRR Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. CoRR Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2021	J	`jnl`	Preface. J. Comput. Sci. Technol. Min-Ling Zhang, Sheng-Jun Huang, Mingsheng Long
2021	J	`jnl`	Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs. CoRR Kaichao You, Yong Liu, Jianmin Wang, Michael I. Jordan, Mingsheng Long
2021	A*	`conf`	Regressive Domain Adaptation for Unsupervised Keypoint Detection. CVPR Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Regressive Domain Adaptation for Unsupervised Keypoint Detection. CoRR Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Representation Subspace Distance for Domain Adaptation Regression. ICML Xinyang Chen, Sinan Wang, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Self-Tuning for Data-Efficient Deep Learning. ICML Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang
2021	J	`jnl`	Self-Tuning for Data-Efficient Deep Learning. CoRR Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Transferable Query Selection for Active Domain Adaptation. CVPR Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. CoRR Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Zoo-Tuning: Adaptive Transfer from A Zoo of Models. ICML Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Zoo-Tuning: Adaptive Transfer from a Zoo of Models. CoRR Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
2020	A	`conf`	A Multi-Player Minimax Game for Generative Adversarial Networks. ICME Ying Jin, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu, Jiaguang Sun
2020	J	`jnl`	Bi-tuning of Pre-trained Representations. CoRR Jincheng Zhong, Ximei Wang, Zhi Kou, Jianmin Wang, Mingsheng Long
2020	A*	`conf`	Co-Tuning for Transfer Learning. NeurIPS Kaichao You, Zhi Kou, Mingsheng Long, Jianmin Wang
2020	A*	`conf`	Learning to Adapt to Evolving Domains. NeurIPS Hong Liu, Mingsheng Long, Jianmin Wang, Yu Wang
2020	—	`conf`	Learning to Detect Open Classes for Universal Domain Adaptation. ECCV (15) Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2020	—	`conf`	Minimum Class Confusion for Versatile Domain Adaptation. ECCV (21) Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang
2020	A	`conf`	Multi-Task Learning of Generalizable Representations for Video Action Recognition. ICME Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu, Jiaguang Sun
2020	—	`conf`	Negative Margin Matters: Understanding Margin in Few-Shot Classification. ECCV (4) Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
2020	J	`jnl`	Negative Margin Matters: Understanding Margin in Few-shot Classification. CoRR Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
2020	J	`jnl`	On Localized Discrepancy for Domain Adaptation. CoRR Yuchen Zhang, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2020	A*	`conf`	Probabilistic Video Prediction From Noisy Data With a Posterior Confidence. CVPR Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum
2020	A*	`conf`	Progressive Adversarial Networks for Fine-Grained Domain Adaptation. CVPR Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang
2020	A*	`conf`	Resource Efficient Domain Adaptation. ACM Multimedia Junguang Jiang, Ximei Wang, Mingsheng Long, Jianmin Wang
2020	A*	`conf`	Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification. AAAI Liang Li, Weirui Ye, Mingsheng Long, Yateng Tang, Jin Xu, Jianmin Wang
2020	A*	`conf`	Stochastic Normalization. NeurIPS Zhi Kou, Kaichao You, Mingsheng Long, Jianmin Wang
2020	A*	`conf`	Transferable Calibration with Lower Bias and Variance in Domain Adaptation. NeurIPS Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2020	J	`jnl`	Transferable Calibration with Lower Bias and Variance in Domain Adaptation. CoRR Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2020	A	`conf`	Transferring Pretrained Networks to Small Data via Category Decorrelation. BMVC Ying Jin, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2020	A*	`conf`	Unsupervised Transfer Learning for Spatiotemporal Predictive Networks. ICML Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang
2020	J	`jnl`	Unsupervised Transfer Learning for Spatiotemporal Predictive Networks. CoRR Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang
2019	J	`jnl`	Adversarial Pyramid Network for Video Domain Generalization. CoRR Zhiyu Yao, Yunbo Wang, Xingqiang Du, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Bridging Theory and Algorithm for Domain Adaptation. ICML Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael I. Jordan
2019	J	`jnl`	Bridging Theory and Algorithm for Domain Adaptation. CoRR Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael I. Jordan
2019	A*	`conf`	Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning. NeurIPS Xinyang Chen, Sinan Wang, Bo Fu, Mingsheng Long, Jianmin Wang
2019	J	`jnl`	Deep Triplet Quantization. CoRR Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang
2019	—	`conf`	Eidetic 3D LSTM: A Model for Video Prediction and Beyond. ICLR (Poster) Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei
2019	J	`jnl`	Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications. CoRR Kaichao You, Mingsheng Long, Michael I. Jordan, Jianmin Wang
2019	A*	`conf`	Learning to Transfer Examples for Partial Domain Adaptation. CVPR Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	J	`jnl`	Learning to Transfer Examples for Partial Domain Adaptation. CoRR Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	J	`jnl`	Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation. CoRR Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Maximum-Margin Hamming Hashing. ICCV Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019	A*	`conf`	Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics. CVPR Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019	J	`jnl`	Process Extraction from Texts via Multi-Task Architecture. CoRR Chen Qian, Lijie Wen, Mingsheng Long, Yanwei Li, Akhil Kumar, Jianmin Wang
2019	A*	`conf`	Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. CVPR Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
2019	J	`jnl`	Spatiotemporal Pyramid Network for Video Action Recognition. CoRR Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019	A*	`conf`	Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation. ICML Kaichao You, Ximei Wang, Mingsheng Long, Michael I. Jordan
2019	J	`jnl`	Towards Understanding the Transferability of Deep Representations. CoRR Hong Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2019	A*	`conf`	Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation. ICML Xinyang Chen, Sinan Wang, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers. ICML Hong Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2019	A*	`conf`	Transferable Attention for Domain Adaptation. AAAI Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Transferable Curriculum for Weakly-Supervised Domain Adaptation. AAAI Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2019	A*	`conf`	Transferable Normalization: Towards Improving Transferability of Deep Neural Networks. NeurIPS Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2019	J	`jnl`	Transferable Representation Learning with Deep Adaptation Networks. IEEE Trans. Pattern Anal. Mach. Intell. Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2019	A*	`conf`	Universal Domain Adaptation. CVPR Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2019	J	`jnl`	WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection. CoRR Binhang Yuan, Chen Wang, Fei Jiang, Mingsheng Long, Philip S. Yu, Yuan Liu
2019	A	`conf`	Z-Order Recurrent Neural Networks for Video Prediction. ICME Jianjin Zhang, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	A*	`conf`	Conditional Adversarial Domain Adaptation. NeurIPS Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2018	—	`conf`	Cross-Modal Hamming Hashing. ECCV (1) Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
2018	A*	`conf`	Deep Cauchy Hashing for Hamming Space Retrieval. CVPR Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
2018	A*	`conf`	Deep Priority Hashing. ACM Multimedia Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	Deep Priority Hashing. CoRR Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	A*	`conf`	Deep Triplet Quantization. ACM Multimedia Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang
2018	A*	`conf`	Generalized Zero-Shot Learning with Deep Calibration Network. NeurIPS Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2018	A*	`conf`	HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN. CVPR Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
2018	J	`jnl`	Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics. CoRR Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	A*	`conf`	Multi-Adversarial Domain Adaptation. AAAI Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2018	J	`jnl`	Multi-Adversarial Domain Adaptation. CoRR Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang
2018	—	`conf`	Partial Adversarial Domain Adaptation. ECCV (8) Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang
2018	J	`jnl`	Partial Adversarial Domain Adaptation. CoRR Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang
2018	A*	`conf`	Partial Transfer Learning With Selective Adversarial Networks. CVPR Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2018	A*	`conf`	PredCNN: Predictive Learning with Cascade Convolutions. IJCAI Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang
2018	A*	`conf`	PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning. ICML Yunbo Wang, Zhifeng Gao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning. CoRR Yunbo Wang, Zhifeng Gao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	J	`jnl`	Reversing Two-Stream Networks with Decoding Discrepancy Penalty for Robust Action Recognition. CoRR Yunbo Wang, Zhiyu Yao, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018	A*	`conf`	Transfer Adversarial Hashing for Hamming Space Retrieval. AAAI Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang
2018	A*	`conf`	Unsupervised Domain Adaptation With Distribution Matching Machines. AAAI Yue Cao, Mingsheng Long, Jianmin Wang
2017	A*	`conf`	Collective Deep Quantization for Efficient Cross-Modal Retrieval. AAAI Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
2017	A	`conf`	Correlation Hashing Network for Efficient Cross-Modal Retrieval. BMVC Yue Cao, Mingsheng Long, Jianmin Wang
2017	A*	`conf`	Deep Transfer Learning with Joint Adaptation Networks. ICML Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan
2017	A*	`conf`	Deep Visual-Semantic Quantization for Efficient Image Retrieval. CVPR Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
2017	J	`jnl`	Domain Adaptation with Randomized Multilinear Adversarial Networks. CoRR Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2017	A*	`conf`	HashNet: Deep Learning to Hash by Continuation. ICCV Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	HashNet: Deep Learning to Hash by Continuation. CoRR Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017	—	`conf`	Learning Multiple Tasks with Multilinear Relationship Networks. NIPS Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	Partial Transfer Learning with Selective Adversarial Networks. CoRR Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan
2017	—	`conf`	PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs. NIPS Yunbo Wang, Mingsheng Long, Jianmin Wang, Zhifeng Gao, Philip S. Yu
2017	A*	`conf`	Spatiotemporal Pyramid Network for Video Action Recognition. CVPR Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017	J	`jnl`	Transfer Adversarial Hashing for Hamming Space Retrieval. CoRR Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang
2017	A*	`conf`	Transitive Hashing Network for Heterogeneous Multimedia Retrieval. AAAI Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang
2016	A*	`conf`	Composite Correlation Quantization for Efficient Multimodal Retrieval. SIGIR Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu
2016	B	`conf`	Correlation Autoencoder Hashing for Supervised Cross-Modal Search. ICMR Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
2016	J	`jnl`	Correlation Hashing Network for Efficient Cross-Modal Retrieval. CoRR Yue Cao, Mingsheng Long, Jianmin Wang
2016	A*	`conf`	Deep Hashing Network for Efficient Similarity Retrieval. AAAI Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
2016	J	`jnl`	Deep Learning of Transferable Representation for Scalable Domain Adaptation. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Yue Cao, Jia-Guang Sun, Philip S. Yu
2016	A*	`conf`	Deep Quantization Network for Efficient Image Retrieval. AAAI Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen
2016	J	`jnl`	Deep Transfer Learning with Joint Adaptation Networks. CoRR Mingsheng Long, Jianmin Wang, Michael I. Jordan
2016	A*	`conf`	Deep Visual-Semantic Hashing for Cross-Modal Retrieval. KDD Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
2016	J	`jnl`	Transitive Hashing Network for Heterogeneous Multimedia Retrieval. CoRR Zhangjie Cao, Mingsheng Long, Qiang Yang
2016	—	`conf`	Unsupervised Domain Adaptation with Residual Transfer Networks. NIPS Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan
2016	J	`jnl`	Unsupervised Domain Adaptation with Residual Transfer Networks. CoRR Mingsheng Long, Jianmin Wang, Michael I. Jordan
2015	J	`jnl`	Compositional Correlation Quantization for Large-Scale Multimodal Search. CoRR Mingsheng Long, Jianmin Wang, Philip S. Yu
2015	J	`jnl`	Domain Invariant Transfer Kernel Learning. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Jia-Guang Sun, Philip S. Yu
2015	J	`jnl`	Learning Multiple Tasks with Deep Relationship Networks. CoRR Mingsheng Long, Jianmin Wang
2015	A*	`conf`	Learning Transferable Features with Deep Adaptation Networks. ICML Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan
2015	J	`jnl`	Learning Transferable Features with Deep Adaptation Networks. CoRR Mingsheng Long, Jianmin Wang
2014	J	`jnl`	Adaptation Regularization: A General Framework for Transfer Learning. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Guiguang Ding, Sinno Jialin Pan, Philip S. Yu
2014	—	`conf`	Inherent Replica Inconsistency in Cassandra. BigData Congress Xiangdong Huang, Jianmin Wang, Jian Bai, Guiguang Ding, Mingsheng Long
2014	B	`conf`	Local Hybrid Coding for Image Classification. ICPR Wu Xiang, Jianmin Wang, Mingsheng Long
2014	A*	`conf`	Transfer Joint Matching for Unsupervised Domain Adaptation. CVPR Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu
2014	J	`jnl`	Transfer Learning with Graph Co-Regularization. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang
2013	A*	`conf`	Transfer Feature Learning with Joint Distribution Adaptation. ICCV Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu
2013	A*	`conf`	Transfer Sparse Coding for Robust Image Representation. CVPR Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu
2013	—	`conf`	Twin Bridge Transfer Learning for Sparse Collaborative Filtering. PAKDD (1) Jiangfeng Shi, Mingsheng Long, Qiang Liu, Guiguang Ding, Jianmin Wang
2012	A	`conf`	Dual Transfer Learning. SDM Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang
2012	A*	`conf`	Topic Correlation Analysis for Cross-Domain Text Classification. AAAI Lianghao Li, Xiaoming Jin, Mingsheng Long
2012	A*	`conf`	Transfer Learning with Graph Co-Regularization. AAAI Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang
2010	A*	`conf`	Transfer Learning via Cluster Correspondence Inference. ICDM Mingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin Wang, Dou Shen