Kaixuan Chen
13 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (8) π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (6) π Renaissance Researcher (7)
πΊοΈ
Taxonomy Completionist
(39)
π§
Keyword Pioneer
π
Conference Polyglot
(5)
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year
(5)
π
Century Club
(12)
ποΈ
Keyword Collector
(67)
Conferences
AAAI (6)
ICLR (2)
IJCAI (2)
ACL (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(3)
activity recognition
(2)
offline reinforcement learning
(2)
contrastive learning
(2)
knowledge distillation
(1)
interpretable machine learning
(1)
non-convex optimization
(1)
attention mechanism
(1)
semi-supervised learning
(1)
graph representation learning
(1)
domain adaptation
(1)
distributed learning
(1)
prompt learning
(1)
model merging
(1)
sensor fusion
(1)
policy optimization
(1)
sharpness-aware minimization
(1)
graph representation
(1)
agent communication
(1)
deep reinforcement learning
(1)
Papers
Evolutionary Negative Module Pruning for Better LoRA Merging
ACL 2026
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL
AAAI 2025
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location
AAAI 2025
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
AAAI 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
ICLR 2025
CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
IJCAI 2025
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
AAAI 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
NIPS 2024
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
AAAI 2023
Schema Inference for Interpretable Image Classification
ICLR 2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
ICML 2023
Multi-agent Attentional Activity Recognition
IJCAI 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
AAAI 2019