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James Cheng — most-cited papers & profile · Recommender Systems
← authors
·
overview
James Cheng
24
papers ·
201
citations ·
48
h-index
Chinese University of Hong Kong
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Measuring and Improving the Use of Graph Information in Graph Neural Networks
2022 · 74 citations
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
2019 · 32 citations
Convolutional Embedding for Edit Distance
2020 · 27 citations
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
2022 · 26 citations
Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models
2025 · 17 citations
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives
2020 · 12 citations
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
2020 · 8 citations
Rethinking Graph Regularization for Graph Neural Networks
2020 · 1 citations
How Interpretable Are Interpretable Graph Neural Networks?
2024 · 1 citations
RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents
2026
Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
2026
On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents
2026
Reducing Belief Deviation in Reinforcement Learning for Active Reasoning
2025
When and Why Does Multi-Agent Debate Fail and Does It Really Underperform?
2025
Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
2025
Topics
GNN Architectures
Theory & Expressivity
cs.AI
Evaluation
RAG
Fine-Tuning
Efficiency
Training Techniques
Model-Based RL
Policy Gradient