Wu, Min

35 publications

ICML 2025 Closed-Form Solutions: A New Perspective on Solving Differential Equations Shu Wei, Yanjie Li, Lina Yu, Weijun Li, Min Wu, Linjun Sun, Jingyi Liu, Hong Qin, Yusong Deng, Jufeng Han, Yan Pang

NeurIPS 2025 Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-Level Distribution Shift Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu

ICML 2025 Learning Soft Sparse Shapes for Efficient Time-Series Classification Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma

AAAI 2025 MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Shu Wei, Yusong Deng, Meilan Hao

ICLR 2025 Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge Belongie

ICML 2024 A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Jingyi Liu, Yanjie Li, Shu Wei, Deng Yusong, Meilan Hao

ICML 2024 Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled

ICLR 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

AAAI 2024 Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

AAAI 2024 Graph-Aware Contrasting for Multivariate Time-Series Classification Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

ECCV 2024 LPViT: Low-Power Semi-Structured Pruning for Vision Transformers Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

TMLR 2024 Leveraging Endo- and Exo-Temporal Regularization for Black-Box Video Domain Adaptation Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

NeurIPS 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen

ICML 2024 TSLANet: Rethinking Transformers for Time Series Representation Learning Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li

AAAI 2024 Towards Efficient Verification of Quantized Neural Networks Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett

NeurIPS 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming Lorenzo Orecchia, Jiawei Hu, Xue He, Zhe Wang, Xulei Yang, Min Wu, Xue Geng

ICCV 2023 Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li

AISTATS 2023 Convex Bounds on the SoftMax Function with Applications to Robustness Verification Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark Barrett, Eitan Farchi

IJCAI 2023 Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen

ICCV 2023 Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin

NeurIPS 2023 Estimating Propensity for Causality-Based Recommendation Without Exposure Data Zhongzhou Liu, Yuan Fang, Min Wu

CVPR 2023 RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis Luwen Duan, Min Wu, Lijian Mao, Jun Yin, Jianping Xiong, Xi Li

NeurIPS 2023 Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-Steered Search in Continuous Space for Postfix Expressions Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

AAAI 2023 SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie

ICLR 2023 Transformer-Based Model for Symbolic Regression via Joint Supervised Learning Wenqiang Li, Weijun Li, Linjun Sun, Min Wu, Lina Yu, Jingyi Liu, Yanjie Li, Songsong Tian

NeurIPS 2023 VeriX: Towards Verified Explainability of Deep Neural Networks Min Wu, Haoze Wu, Clark Barrett

AAAI 2022 Generalizing Reinforcement Learning Through Fusing Self-Supervised Learning into Intrinsic Motivation Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li

ECCV 2022 Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen

CVPR 2021 Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao

IJCAI 2021 Deep Reinforcement Learning Boosted Partial Domain Adaptation Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li

IJCAI 2021 Time-Series Representation Learning via Temporal and Contextual Contrasting Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan

AAAI 2021 Two-Stream Convolution Augmented Transformer for Human Activity Recognition Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu

UAI 2020 Towards Threshold Invariant Fair Classification Mingliang Chen, Min Wu

IJCAI 2019 Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska

IJCAI 2017 Learning User Dependencies for Recommendation Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li