Lei Han
30 papers · 2008–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (17)
π
Conference Polyglot
(12)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(47)
π§¬
Topic Evolution
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(118)
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Century Club
(30)
π₯
Unstoppable
(8)
π
Trend Setter
β
The Questioner
Conferences
NIPS (10)
ICLR (4)
ICML (4)
AAAI (3)
ACL (2)
CONLL (1)
CORL (1)
CVPR (1)
EMNLP (1)
ICCV (1)
IJCAI (1)
RSS (1)
Top co-authors
Keywords
reinforcement learning
(6)
large language model
(3)
offline reinforcement learning
(3)
multi-agent reinforcement learning
(2)
upper confidence bound
(2)
reward shaping
(2)
curiosity-based exploration
(2)
deep reinforcement learning
(2)
multi-agent system
(2)
language model
(2)
sparse reward
(2)
policy optimization
(1)
link prediction
(1)
convex optimization
(1)
imitation learning
(1)
semantic segmentation
(1)
adversarial robustness
(1)
mathematical reasoning
(1)
feature learning
(1)
epistemic uncertainty
(1)
Papers
Multi-Agent Collaboration via Cross-Team Orchestration
ACL 2025
AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation
CORL 2025
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
ICLR 2025
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
EMNLP 2025
GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
ACL 2025
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
ICLR 2024
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
ICLR 2024
HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid
NIPS 2024
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
NIPS 2024
Self-playing Adversarial Language Game Enhances LLM Reasoning
NIPS 2024
Relative Policy-Transition Optimization for Fast Policy Transfer
AAAI 2024
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
ICML 2024
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
NIPS 2023
EQ-Net: Elastic Quantization Neural Networks
ICCV 2023
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
NIPS 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
NIPS 2022
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
ICLR 2022
Principled Exploration via Optimistic Bootstrapping and Backward Induction
ICML 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
NIPS 2021
OccuSeg: Occupancy-Aware 3D Instance Segmentation
CVPR 2020
Gated Fully Fusion for Semantic Segmentation
AAAI 2020
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
NIPS 2019
Curriculum-guided Hindsight Experience Replay
NIPS 2019
Learning (from) Deep Hierarchical Structure among Features
AAAI 2019
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
ICML 2019
FlashFusion: Real-time Globally Consistent Dense 3D Reconstruction using CPU Computing
RSS 2018
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
ICML 2018
Exponentially Weighted Imitation Learning for Batched Historical Data
NIPS 2018
Action2Activity: Recognizing Complex Activities from Sensor Data
IJCAI 2015
Automatic Chinese Catchword Extraction Based on Time Series Analysis
CONLL 2008