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Xuanlin Li

12 papers · 2021–2025 · 6 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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+7 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge Β· Silver 🌍 Conference Polyglot Β· Silver πŸ—ΊοΈ Taxonomy Completionist (34) πŸ‘‘ Triple Crown
🧭 Keyword Pioneer πŸ‘₯ Mega-Team Β· Squad 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (61)

Venues

ICLR (3) NeurIPS (3) CoRL (2) ICML (2) ICCV (1) RSS (1)

Top co-authors

Hao Su (9) Zhan Ling (6) Zhiao Huang (4) Minghua Liu (3) Roland Memisevic (2) Jiayuan Gu (2) Trevor Darrell (2) Fanbo Xiang (2) Mingu Lee (2) Tongzhou Mu (2)

Research topics

Machine Learning (11) Learning Types (6) Application Areas (5) Artificial Intelligence (4) Deep Learning (4) Computer Vision (3) Reinforcement Learning (3) Core AI (3) Robotics (2) Analysis (2) Capabilities (2) Core Methods (2) Methods (2) Models (2) Natural Language Processing (1)

Keywords

variational inference (2) deep reinforcement learning (2) vision-language model (2) policy gradient (2) reinforcement learning (2) domain generalization (2) zero-shot classification (2) policy optimization (2) action recognition (1) policy evaluation (1) robotic manipulation (1) multi-task learning (1) knowledge distillation (1) chain-of-thought reasoning (1) policy learning (1) point cloud (1) multimodal learning (1) embodied ai (1) efficient computing (1) imitation learning (1)

Papers

Demonstrating GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI with ManiSkill3 RSS 2025 Evaluating Real-World Robot Manipulation Policies in Simulation CoRL 2024 What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction NeurIPS 2024 Deductive Verification of Chain-of-Thought Reasoning NeurIPS 2023 Distilling Large Vision-Language Model with Out-of-Distribution Generalizability ICCV 2023 ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills ICLR 2023 OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding NeurIPS 2023 Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023 Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds CoRL 2022 Improving Policy Optimization with Generalist-Specialist Learning ICML 2022 Discovering Non-monotonic Autoregressive Orderings with Variational Inference ICLR 2021 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control ICLR 2021