Zhenyu Pan

Orcid: 0009-0009-2805-6018

According to our database1, Zhenyu Pan authored at least 27 papers between 2017 and 2025.

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Bibliography

2025
Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety.
CoRR, August, 2025

FairReason: Balancing Reasoning and Social Bias in MLLMs.
CoRR, July, 2025

SciSciGPT: Advancing Human-AI Collaboration in the Science of Science.
CoRR, April, 2025

MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse.
CoRR, March, 2025

Retrieval-Augmented Generation with Hierarchical Knowledge.
CoRR, March, 2025

Effective REST APIs Testing with Error Message Analysis.
Proc. ACM Softw. Eng., 2025

Do Code LLMs Understand Design Patterns?
Proceedings of the IEEE/ACM International Workshop on Large Language Models for Code, 2025

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Detect Defects of Solidity Smart Contract Based on the Knowledge Graph.
IEEE Trans. Reliab., March, 2024

EvoFuzzer: An Evolutionary Fuzzer for Detecting Reentrancy Vulnerability in Smart Contracts.
IEEE Trans. Netw. Sci. Eng., 2024

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?
CoRR, 2024

Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action.
CoRR, 2024

HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model.
CoRR, 2024

CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver.
CoRR, 2024

2023
Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training.
Proceedings of the 37th International Conference on Supercomputing, 2023

Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ReDefender: Detecting Reentrancy Vulnerabilities in Smart Contracts Automatically.
IEEE Trans. Reliab., 2022

Robotic picking in dense clutter via domain invariant learning from synthetic dense cluttered rendering.
Robotics Auton. Syst., 2022

On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021
SolDetector: Detect Defects Based on Knowledge Graph of Solidity Smart Contract.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

ReDefender: A Tool for Detecting Reentrancy Vulnerabilities in Smart Contracts Effectively.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Intuitive Searching: An Approach to Search the Decision Policy of a Blackjack Agent.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021

2019
Object-Agnostic Suction Grasp Affordance Detection in Dense Cluster Using Self-Supervised Learning.docx.
CoRR, 2019

Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge.
CoRR, 2019

2018
Revealing the Relations between Learning Behaviors and Examination Scores via a Prediction System.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

2017
Deep learning for picking point detection in dense cluster.
Proceedings of the 11th Asian Control Conference, 2017


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