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Min Wu

45 papers · 2004–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13)
πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (38) πŸ—ƒοΈ Keyword Collector (159) ⚑ Prolific Year (10)

Conferences

AAAI (14) ICML (5) IJCAI (5) NIPS (5) CVPR (3) ICLR (3) ACL (2) ECCV (2) ICCV (2) AISTATS (1) COLING (1) EMNLP (1) UAI (1)

Top co-authors

Zhenghua Chen (13) Xiaoli Li (12) Yuecong Xu (6) Jianfei Yang (6) Clark Barrett (5) Lina Yu (5) Haoze Wu (5) Weijun Li (5) Emadeldeen Eldele (4) Yanjie Li (4)

Keywords

adversarial robustness (3) reinforcement learning (3) neural network (3) model compression (3) neural network verification (3) self-supervised learning (3) robustness verification (3) neural network optimization (3) adversarial example (2) activation function (2) recommender system (2) adversarial learning (2) action recognition (2) representation learning (2) unsupervised learning (2) formal verification (2) domain adaptation (2) knowledge distillation (2) contrastive learning (2) unsupervised domain adaptation (2)

Papers

Parameterized Abstract Interpretation for Transformer Verification AAAI 2026 A Unified Shape-Aware Foundation Model for Time Series Classification AAAI 2026 Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification AAAI 2026 Implicit Neural Representation with Multi-Scale Sine Activation AAAI 2026 Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing AAAI 2026 Light but Sharp: SlimSTAD for Real-Time Action Detection from Sensor Data AAAI 2026 Efficiently Computing Compact Formal Explanations AAAI 2026 Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation ICLR 2025 MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions AAAI 2025 Closed-form Solutions: A New Perspective on Solving Differential Equations ICML 2025 Learning Soft Sparse Shapes for Efficient Time-Series Classification ICML 2025 LPViT: Low-Power Semi-structured Pruning for Vision Transformers ECCV 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024 Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data AAAI 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024 TSLANet: Rethinking Transformers for Time Series Representation Learning ICML 2024 A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data ICML 2024 Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data ICML 2024 Graph-Aware Contrasting for Multivariate Time-Series Classification AAAI 2024 Towards Efficient Verification of Quantized Neural Networks AAAI 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024 Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks ICCV 2023 Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions NIPS 2023 Estimating Propensity for Causality-based Recommendation without Exposure Data NIPS 2023 SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation AAAI 2023 Convex Bounds on the Softmax Function with Applications to Robustness Verification AISTATS 2023 RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis CVPR 2023 VeriX: Towards Verified Explainability of Deep Neural Networks NIPS 2023 Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation ICCV 2023 Transformer-based model for symbolic regression via joint supervised learning ICLR 2023 Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data IJCAI 2023 Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition ECCV 2022 Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation AAAI 2022 Deep Reinforcement Learning Boosted Partial Domain Adaptation IJCAI 2021 Two-Stream Convolution Augmented Transformer for Human Activity Recognition AAAI 2021 Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization CVPR 2021 Time-Series Representation Learning via Temporal and Contextual Contrasting IJCAI 2021 Towards Threshold Invariant Fair Classification UAI 2020 Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020 Assessing Robustness of Text Classification through Maximal Safe Radius Computation EMNLP 2020 Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance IJCAI 2019 Learning User Dependencies for Recommendation IJCAI 2017 Utilizing Co-Occurrence of Answers in Question Answering COLING 2006 Utilizing Co-Occurrence of Answers in Question Answering ACL 2006 Data-Driven Strategies for an Automated Dialogue System ACL 2004