Weifeng Jiang

29 papers A* 3A 1B 1C 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoMMET: To What Extent Can LLMs Perform Theory of Mind Tasks?
CoRR
Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan
2026 J jnl
NanoNet: Parameter-Efficient Learning with Label-Scarce Supervision for Lightweight Text Mining Model.
CoRR
Qianren Mao, Yashuo Luo, Ziqi Qin, Junnan Liu, Weifeng Jiang, Zhijun Chen, Zhuoran Li, Likang Xiao, Chuou Xu, Qili Zhang, Hanwen Hao, Jingzheng Li, Chunghua Lin, Jianxin Li, Philip S. Yu
2025 J jnl
Are Large Language Models Effective Knowledge Graph Constructors?
CoRR
Ruirui Chen, Weifeng Jiang, Chengwei Qin, Bo Xiong, Fiona Liausvia, Dongkyu Choi, Boon Kiat Quek
2025 J jnl
Enhanced YOLOv8 for industrial polymer films: a semi-supervised framework for micron-scale defect detection.
Frontiers Artif. Intell.
Xiaoxia Yu, Bingyu Hu, Weifeng Jiang, Jinru Wan, Xinduoji Yang, Nianbo Liu, Xiaoyan Dong
2025 J jnl
Guaranteeing Data Privacy in Federated Unlearning With Dynamic User Participation.
IEEE Trans. Dependable Secur. Comput.
Ziyao Liu, Yu Jiang, Weifeng Jiang, Jiale Guo, Jun Zhao, Kwok-Yan Lam
2025 J jnl
Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs.
Trans. Mach. Learn. Res.
Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li
2025 — conf
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence.
NAACL (Findings)
Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu
2025 J jnl
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation.
CoRR
Qianren Mao, Qili Zhang, Hanwen Hao, Zhentao Han, Runhua Xu, Weifeng Jiang, Qi Hu, Zhijun Chen, Tyler Zhou, Bo Li, Yangqiu Song, Jin Dong, Jianxin Li, Philip S. Yu
2025 — conf
Theory of Mind in Large Language Models: Assessment and Enhancement.
ACL (1)
Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan
2025 J jnl
Theory of Mind in Large Language Models: Assessment and Enhancement.
CoRR
Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan
2024 J jnl
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning.
CoRR
Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li
2024 J jnl
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation.
CoRR
Ziyao Liu, Yu Jiang, Weifeng Jiang, Jiale Guo, Jun Zhao, Kwok-Yan Lam
2024 A* conf
Is a Large Language Model a Good Annotator for Event Extraction?
AAAI
Ruirui Chen, Chengwei Qin, Weifeng Jiang, Dongkyu Choi
2024 A* conf
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning.
ICML
Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li
2024 J jnl
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning.
CoRR
Junnan Liu, Qianren Mao, Weifeng Jiang, Jianxin Li
2024 — conf
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments.
EMNLP (Findings)
Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai
2024 J jnl
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments.
CoRR
Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai
2024 J jnl
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence.
CoRR
Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu
2024 J jnl
Trustworthy, Responsible, and Safe AI: A Comprehensive Architectural Framework for AI Safety with Challenges and Mitigations.
CoRR
Chen Chen, Ziyao Liu, Weifeng Jiang, Goh Si Qi, Kwok-Yan Lam
2024 J jnl
XRAG: eXamining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation.
CoRR
Qianren Mao, Yangyifei Luo, Jinlong Zhang, Hanwen Hao, Zhilong Cao, Xiaolong Wang, Xiao Guan, Zhenting Huang, Weifeng Jiang, Shuyu Guo, Zhentao Han, Qili Zhang, Siyuan Tao, Yujie Liu, Junnan Liu, Zhixing Tan, Jie Sun, Bo Li, Xudong Liu, Richong Zhang, Jianxin Li
2023 A* conf
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining.
EMNLP
Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang
2023 J jnl
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining.
CoRR
Weifeng Jiang, Qianren Mao, Jianxin Li, Chenghua Lin, Weiyi Yang, Ting Deng, Zheng Wang
2022 — conf
High-Sensitivity Silicon Few-Mode Microring Resonators for Temperature Sensing.
ICAIT
Jinzhu Hu, Siqiang Mao, Hanyu Zhang, Weifeng Jiang
2022 — conf
Inverse Designed Silicon Mode Converters Based on the Direct Binary Search Algorithm.
ICAIT
Siqiang Mao, Jinzhu Hu, Weifeng Jiang
2022 B conf
Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization.
COLING
Yiming Wang, Qianren Mao, Junnan Liu, Weifeng Jiang, Hongdong Zhu, Jianxin Li
2020 A conf
A dataset for exploring gaze behaviors in text summarization.
MMSys
Kun Yi, Yu Guo, Weifeng Jiang, Zhi Wang, Lifeng Sun
2018 J jnl
An Automatic Classification and Clustering Algorithm for Online Learning Goals Based on Cognitive Thinking.
Int. J. Emerg. Technol. Learn.
Ying Wang, Weifeng Jiang
2018 J jnl
On neural networks and learning systems for business computing.
Neurocomputing
Yawen Li, Weifeng Jiang, Liu Yang, Tian Wu
2016 C conf
The research on visual industrial robot which adopts fuzzy PID control algorithm.
ICMV
Yifei Feng, Guoping Lu, Lulin Yue, Weifeng Jiang, Ye Zhang