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KAIXIN WANG

15 papers · 2019–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (37) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (88) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze 🌈 Renaissance Researcher (6)

Venues

ICML (8) NeurIPS (3) ICCV (2) ICLR (2)

Top co-authors

Jiashi Feng (9) Shie Mannor (5) Bingyi Kang (4) Kuangqi Zhou (4) Bryan Hooi (3) Navdeep Kumar (3) Daquan Zhou (3) Xinchao Wang (2) Kfir Yehuda Levy (2) Jie Shao (2)

Research topics

Machine Learning (11) Reinforcement Learning (11) Methods (10) Artificial Intelligence (7) Core AI (6) Applications (5) Deep Learning (4) Core Methods (4) Optimization & Theory (4) Computer Vision (3) Learning Types (3) Analysis (2) Application Areas (2) Processing (2) Computer Science (1)

Keywords

reinforcement learning (5) laplacian representation (2) robust mdp (2) policy learning (2) value function (2) reward shaping (2) procedurally generated environment (2) policy optimization (1) geometric analysis (1) robust optimization (1) point cloud registration (1) knowledge distillation (1) data augmentation (1) curriculum learning (1) metric learning (1) relational reasoning (1) parameter efficient (1) graph matching (1) markov decision process (1) procedural generation (1)

Papers

How Far Is Video Generation from World Model: A Physical Law Perspective ICML 2025 TurboReg: TurboClique for Robust and Efficient Point Cloud Registration ICCV 2025 Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel ICML 2024 Efficient Value Iteration for s-rectangular Robust Markov Decision Processes ICML 2024 Implicit Curriculum in Procgen Made Explicit NeurIPS 2024 Improving Token-Based World Models with Parallel Observation Prediction ICML 2024 PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient ICML 2023 Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments ICLR 2023 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NeurIPS 2022 The Geometry of Robust Value Functions ICML 2022 Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing ICML 2021 Improving Generalization in Reinforcement Learning with Mixture Regularization NeurIPS 2020 Neural Epitome Search for Architecture-Agnostic Network Compression ICLR 2020 PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment ICCV 2019