Deep learning for picking point detection in dense cluster. - Wenhai Liu; Zhenyu Pan; Weijie Liu; Quanquan Shao; Jie Hu 002; Weiming Wang; Jin Ma 006; Jin Qi; Wenjun Zhao; Shaofeng Du (ASCC, 2017)

Revealing the Relations between Learning Behaviors and Examination Scores via a Prediction System. - Zhenyu Pan; Jie Xue 003; Yang Gao; Honghao Wang; Guanling Chen (CSAI/ICIMT, 2018)

Bayesian Grasp: Robotic visual stable grasp based on prior tactile knowledge. - Teng Xue; Wenhai Liu; Mingshuo Han; Zhenyu Pan; Jin Ma 006; Quanquan Shao; Weiming Wang (CoRR, 2019)

Object-Agnostic Suction Grasp Affordance Detection in Dense Cluster Using Self-Supervised Learning.docx. - Mingshuo Han; Wenhai Liu; Zhenyu Pan; Teng Xue; Quanquan Shao; Jin Ma 006; Weiming Wang (CoRR, 2019)

Intuitive Searching: An Approach to Search the Decision Policy of a Blackjack Agent. - Zhenyu Pan; Jie Xue 003; Tingjian Ge (ICICT (2), 2021)

ReDefender: A Tool for Detecting Reentrancy Vulnerabilities in Smart Contracts Effectively. - Zhenyu Pan; Tianyuan Hu; Chen Qian; Bixin Li (QRS, 2021)

SolDetector: Detect Defects Based on Knowledge Graph of Solidity Smart Contract. - Tianyuan Hu; Zhenyu Pan; Bixin Li (SEKE, 2021)

On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. - Zhirui Hu; Jinyang Li 001; Zhenyu Pan; Shanglin Zhou; Lei Yang 018; Caiwen Ding; Omer Khan; Tong Geng; Weiwen Jiang (ICCD, 2022)

Robotic picking in dense clutter via domain invariant learning from synthetic dense cluttered rendering. - Wenhai Liu; Weiming Wang; Yang You 004; Teng Xue; Zhenyu Pan; Jin Qi; Jie Hu 002 (Robotics Auton. Syst., 2022)

ReDefender: Detecting Reentrancy Vulnerabilities in Smart Contracts Automatically. - Bixin Li; Zhenyu Pan; Tianyuan Hu (IEEE Trans. Reliab., 2022)

Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. - Zhenyu Pan; Anshujit Sharma; Jerry Yao-Chieh Hu; Zhuo Liu; Ang Li 006; Han Liu 001; Michael C. Huang 001; Tong Geng (AAAI, 2023)

Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning. - Zhuo Liu; Yunan Yang; Zhenyu Pan; Anshujit Sharma; Amit Hasan 001; Caiwen Ding; Ang Li 006; Michael C. Huang 001; Tong Geng (DAC, 2023)

Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. - Anqi Guo; Yuchen Hao; Chunshu Wu; Pouya Haghi; Zhenyu Pan; Min Si; Dingwen Tao; Ang Li 006; Martin C. Herbordt; Tong Geng (ICS, 2023)

CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver. - Zhenyu Pan; Ammar Gilani; En-Jui Kuo; Zhuo Liu (CoRR, 2024)

HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model. - Zhenyu Pan; Yoonsung Jeong; Xiaoda Liu; Han Liu 001 (CoRR, 2024)

Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action. - Zhenyu Pan; Haozheng Luo; Manling Li; Han Liu 001 (CoRR, 2024)

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion? - Zhenyu Pan; Rongyu Cao; Yongchang Cao; Yingwei Ma; Binhua Li; Fei Huang 002; Han Liu 001; Yongbin Li (CoRR, 2024)

EvoFuzzer: An Evolutionary Fuzzer for Detecting Reentrancy Vulnerability in Smart Contracts. - Bixin Li; Zhenyu Pan; Tianyuan Hu (IEEE Trans. Netw. Sci. Eng., 2024)

Detect Defects of Solidity Smart Contract Based on the Knowledge Graph. - Tianyuan Hu; Bixin Li; Zhenyu Pan; Chen Qian (IEEE Trans. Reliab., 2024)

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models. - Zhenyu Pan; Haozheng Luo; Manling Li; Han Liu 001 (ICLR, 2025)

Do Code LLMs Understand Design Patterns? - Zhenyu Pan; Xuefeng Song; Yunkun Wang; Rongyu Cao; Binhua Li; Yongbin Li; Han Liu 001 (LLM4Code@ICSE, 2025)

Effective REST APIs Testing with Error Message Analysis. - Lixin Xu; Huayao Wu; Zhenyu Pan; Tongtong Xu; Shaohua Wang 002; Xintao Niu; Changhai Nie (Proc. ACM Softw. Eng., 2025)

Retrieval-Augmented Generation with Hierarchical Knowledge. - Haoyu Huang; Yongfeng Huang; Junjie Yang; Zhenyu Pan; Yongqiang Chen 002; Kaili Ma 001; Hongzhi Chen; James Cheng (CoRR, 2025)

MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse. - Zhenyu Pan; Han Liu 001 (CoRR, 2025)

SciSciGPT: Advancing Human-AI Collaboration in the Science of Science. - Erzhuo Shao; Yifang Wang 001; Yifan Qian; Zhenyu Pan; Han Liu; Dashun Wang (CoRR, 2025)

FairReason: Balancing Reasoning and Social Bias in MLLMs. - Zhenyu Pan; Yutong Zhang; Jianshu Zhang; Haoran Lu; Haozheng Luo; Yuwei Han; Philip S. Yu; Manling Li; Han Liu 002 (CoRR, 2025)

Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety. - Zhenyu Pan; Yiting Zhang; Yutong Zhang; Jianshu Zhang; Haozheng Luo; Yuwei Han; Dennis Wu; Hong-Yu Chen; Philip S. Yu; Manling Li; Han Liu 002 (CoRR, 2025)