The research on visual industrial robot which adopts fuzzy PID control algorithm. - Yifei Feng; Guoping Lu; Lulin Yue; Weifeng Jiang; Ye Zhang (ICMV, 2016)

An Automatic Classification and Clustering Algorithm for Online Learning Goals Based on Cognitive Thinking. - Ying Wang; Weifeng Jiang (Int. J. Emerg. Technol. Learn., 2018)

On neural networks and learning systems for business computing. - Yawen Li 001; Weifeng Jiang; Liu Yang; Tian Wu (Neurocomputing, 2018)

A dataset for exploring gaze behaviors in text summarization. - Kun Yi; Yu Guo; Weifeng Jiang; Zhi Wang 001; Lifeng Sun (MMSys, 2020)

Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization. - Yiming Wang 011; Qianren Mao; Junnan Liu; Weifeng Jiang; Hongdong Zhu; Jianxin Li 002 (COLING, 2022)

High-Sensitivity Silicon Few-Mode Microring Resonators for Temperature Sensing. - Jinzhu Hu; Siqiang Mao; Hanyu Zhang; Weifeng Jiang (ICAIT, 2022)

Inverse Designed Silicon Mode Converters Based on the Direct Binary Search Algorithm. - Siqiang Mao; Jinzhu Hu; Weifeng Jiang (ICAIT, 2022)

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. - Weifeng Jiang; Qianren Mao; Chenghua Lin; Jianxin Li 002; Ting Deng; Weiyi Yang; Zheng Wang 001 (EMNLP, 2023)

Is a Large Language Model a Good Annotator for Event Extraction? - Ruirui Chen 002; Chengwei Qin; Weifeng Jiang; Dongkyu Choi (AAAI, 2024)

LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments. - Ruirui Chen 002; Weifeng Jiang; Chengwei Qin; Ishaan Singh Rawal; Cheston Tan; Dongkyu Choi; Bo Xiong; Bo Ai 008 (EMNLP (Findings), 2024)

KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning. - Junnan Liu; Qianren Mao; Weifeng Jiang; Jianxin Li 002 (ICML, 2024)

FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning. - Qi Hu; Weifeng Jiang; Haoran Li 003; Zihao Wang 001; Jiaxin Bai; Qianren Mao; Yangqiu Song; Lixin Fan; Jianxin Li 002 (CoRR, 2024)

Trustworthy, Responsible, and Safe AI: A Comprehensive Architectural Framework for AI Safety with Challenges and Mitigations. - Chen Chen 037; Ziyao Liu; Weifeng Jiang; Goh Si Qi; Kwok-Yan Lam (CoRR, 2024)

XRAG: eXamining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation. - Qianren Mao; Yangyifei Luo; Jinlong Zhang; Hanwen Hao; Zhilong Cao; Xiaolong Wang; Xiao Guan; Zhenting Huang; Weifeng Jiang; Shuyu Guo; Zhentao Han; Qili Zhang; et al. (CoRR, 2024)

Theory of Mind in Large Language Models: Assessment and Enhancement. - Ruirui Chen 002; Weifeng Jiang; Chengwei Qin; Cheston Tan (ACL (1), 2025)

Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. - Qianren Mao; Weifeng Jiang; Junnan Liu; Chenghua Lin; Qian Li 033; Xianqing Wen; Jianxin Li 002; Jinhu Lu (NAACL (Findings), 2025)

Guaranteeing Data Privacy in Federated Unlearning With Dynamic User Participation. - Ziyao Liu; Yu Jiang; Weifeng Jiang; Jiale Guo; Jun Zhao 007; Kwok-Yan Lam (IEEE Trans. Dependable Secur. Comput., 2025)

Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs. - Qi Hu; Weifeng Jiang; Haoran Li 003; Zihao Wang 001; Jiaxin Bai; Qianren Mao; Yangqiu Song; Lixin Fan; Jianxin Li 002 (Trans. Mach. Learn. Res., 2025)

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation. - Qianren Mao; Qili Zhang; Hanwen Hao; Zhentao Han; Runhua Xu; Weifeng Jiang; Qi Hu; Zhijun Chen; Tyler Zhou; Bo Li 005; Yangqiu Song; Jin Dong; et al. (CoRR, 2025)