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Tian Xu

12 papers · 2020–2026 · 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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+4 more ↓ πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (22) 🌍 Conference Polyglot Β· Silver πŸ‘‘ Triple Crown
πŸ—ƒοΈ Keyword Collector (53) ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze

Venues

ICLR (3) ICML (3) NeurIPS (3) CVPR (1) MICCAI (1) UAI (1)

Top co-authors

Yang Yu (9) Ziniu Li (5) Zhi-Quan Luo (4) Zhilong Zhang (3) Xingchen Cao (3) Ruoyu Sun (2) Fan-Ming Luo (2) Yihao Sun (2) Zeyu Qin (2) Zongzhang Zhang (1)

Research topics

Reinforcement Learning (8) Methods (8) Machine Learning (6) Artificial Intelligence (4) Core AI (4) Learning Types (4) Optimization & Theory (3) Computer Vision (1) Deep Learning (1) Natural Language Processing (1) Robotics (1) Analysis (1) Application Areas (1) Applications (1) Capabilities (1)

Keywords

imitation learning (5) model-based reinforcement learning (3) sample complexity (2) dynamics model (2) adversarial learning (2) adversarial imitation learning (2) behavioral cloning (2) reinforcement learning (2) offline reinforcement learning (2) game theory (1) instance segmentation (1) policy learning (1) importance sampling (1) policy optimization (1) generalization (1) depth estimation (1) bellman error (1) distribution shift (1) reward function (1) variance reduction (1)

Papers

PromptDepth: Efficient and Promptable Geometric 3D Vision Model for Embodied Intelligence CVPR 2026 Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion MICCAI 2025 Improving Reward Model Generalization from Adversarial Process Enhanced Preferences ICML 2025 Preserving Diversity in Supervised Fine-Tuning of Large Language Models ICLR 2025 Limited Preference Aided Imitation Learning from Imperfect Demonstrations ICML 2024 Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning ICLR 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models ICML 2024 Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ICLR 2024 Imitation Learning from Imperfection: Theoretical Justifications and Algorithms NeurIPS 2023 Provably Efficient Adversarial Imitation Learning with Unknown Transitions UAI 2023 Error Bounds of Imitating Policies and Environments NeurIPS 2020