Lei Cheng
14 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π Academic Marathon (5) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (28)
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Cross-Pollinator
(15)
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Academic Marathon
(5)
π
Renaissance Researcher
(7)
π§¬
Topic Evolution
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Keyword Champion
(2)
π₯
Unstoppable
(5)
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Century Club
(13)
ποΈ
Keyword Collector
(58)
Conferences
AAAI (6)
ACL (3)
CVPR (2)
ICLR (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
reinforcement learning
(4)
large language model
(3)
recommendation system
(2)
unsupervised domain adaptation
(2)
transfer learning
(2)
distribution matching
(2)
gradient information
(2)
video recommendation
(2)
cross-domain knowledge distillation
(2)
attention mechanism
(2)
chain-of-thought reasoning
(1)
in-context learning
(1)
knowledge distillation
(1)
information retrieval
(1)
continual learning
(1)
sequence modeling
(1)
semantic representation
(1)
event camera
(1)
multi-modal learning
(1)
motion estimation
(1)
Papers
VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning
AAAI 2026
When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation
AAAI 2026
Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation
ACL 2026
First Learn, Then Review: Human-Like Continual Learning for Cross-View Geo-Localization with Limited Field of View
AAAI 2026
G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation
AAAI 2026
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval
AAAI 2025
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation
CVPR 2025
Layerwise Change of Knowledge in Neural Networks
ICML 2024
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm
ACL 2024
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation
AAAI 2023
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
ICLR 2023
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention
CVPR 2022
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation
IJCNLP 2021
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation
ACL 2021