Zhiwei YANG

Zhiwei YANG

Assistant Professor at JNU

Zhiwei YANG

:sparkles: About Me

I am currently an Assistant Professor in the Guangdong Institute of Smart Education and a researcher at the AGI Intelligent Media Application Research Center at Jinan University (JNU). Before joining JNU, he received a Ph.D. degree in the College of Computer Science and Technology from Jilin University (JLU), where I was fortunate to have Prof. Yi Chang as my advisor. From 2021 to 2022, I also visited Prof. Jing Ma’s research group at Hong Kong Baptist University. I have published over 20 research articles in top international conferences and journals, and serve as an Area Chair for ACL 2025 and as a peer reviewer for top conferences such as AAAI, IJCAI, WWW, SIGIR, KDD, etc., and top journals such as TPAMI, TKDE, TNNLS, etc.

My interests include:

  • Fact-checking, Fake News detection, Rumor Detection
  • Information Extraction
  • Knowledge Concept Tagging (AI4ED)
  • Large Language Model Reasoning

Contact me via: yangzw[AT]jnu.edu.cn

📝 Publications

* for corresponding authors

  • Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO
    Jiahua Yang, Zhiwei Yang*, Xianpeng Zhang, Dongyu Chen, Xing Chen, Tianhuang Su, Haonan Lu, Quanlong Guan, Kai Tang, Chuangchuang Wang
    NeurIPS 2026: Neural Information Processing Systems (CCF A)

  • SRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept Tagging PDF.
    Zhiwei Yang, Jiahua Yang, Huiru Lin, Xing Chen, Quanlong Guan
    IJCAI 2026: International Joint Conference on Artificial Intelligence (CCF B)

  • The Imitation Game revisited: A comprehensive survey on recent advances in AI-generated text detection Cite
    Zhiwei Yang, Zhengjie Feng, Rongxin Huo, Huiru Lin, Hanghan Zheng, Ruichi Nie, Hongrui Chen
    Expert Systems With Applications (SCI-I)

  • Local-Global Cascaded Ensemble Learning on Hybrid Experts for Knowledge Concept Tagging (Best Paper Candidate)
    Zhiwei Yang, Jiahua Yang, Longtao Wang, Rongxin Huo, Huiru Lin, Yuxuan Zhou, Weiqi Luo
    AIED 2025: International Conference on Artificial Intelligence in Education (CAAI B)

  • CoTea: Collaborative Teaching for Low-resource Named Entity Recognition with A Divide-and-Conquer Strategy
    Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang
    Information Processing & Management (SCI-I)

  • A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection Star Github
    Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
    COLING 2022：The 29th International Conference on Computational Linguistics, October 2022, Gyeongju, Republic of Korea （CCF-B）

  • Enhancing Prompting with Deep Understanding and Extended Reasoning for Solving Mathematical Problems Code
    Zhiwei Yang, Rongxin Huo, Jiahua Yang, Longtao Wang, Yuxuan Zhou
    International Conference on Neural Information Processing

  • Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom Code | Datasets
    Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
    WWW 2024: The Web Conference 2024, May 2024, Singapore (CCF A)

  • Context-aware Attentive Multi-level Feature Fusion for Named Entity Recognition
    Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang
    TNNLS: IEEE Transactions on Neural Networks and Learning Systems (SCI-I)

  • Uncertainty-Aware Contrastive Learning for Semi-supervised Named Entity Recognition
    Kang Yang, Zhiwei Yang*, Songwei Zhao, Zhejian Yang, Sinuo Zhang, Hechang Chen
    Knowledge-based System (SCI-I)

  • HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition
    Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang and Yi Chang
    EMNLP 2021: The 2021 Conference on Empirical Methods in Natural Language Processing, November 2021, Punta Cana, Dominican Republic (CCF-B)

  • Attention-based Multi-level Feature Fusion for Named Entity Recognition
    Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
    IJCAI 2020: The 29th International Joint Conference on Artificial Intelligence, July 2020. Yokohama, Japan (CCF-A)

  • WSDMS: Debunk Fake News via Weakly Supervised Detection of Misinforming Sentences with Contextualized Social Wisdom
    Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
    EMNLP 2023: The 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore (CCF B)

  • The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure.
    Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang
    AAAI 2023: The 37th AAAI Conference on Artificial Intelligence, Washington, DC, USA (CCF A)

  • Towards low-resource rumor detection: Unified contrastive transfer with propagation structure
    Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
    Neurocomputing (SCI-II)

  • Enhancing the Language Understanding of BERT with Causal Attention Masks
    Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, xiaoxi mao, Changjie Fan, Rongsheng Zhang
    NAACL 2022: The 2022 Conference of the North American Chapter of the Association for Computational Linguistics (CCF-B)

  • Detect Low-Resource Rumors in Microblog Posts via Adversarial Contrastive Learning
    Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
    NAACL 2022: The 2022 Conference of the North American Chapter of the Association for Computational Linguistics (CCF-B)

  • A Hybrid Model for Improving Fact Checking in Product Question Answering
    Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Guang Chen
    IJCNN 2022: The IJCNN at IEEE WCCI 2022 (CCF-B)

  • LAM: Lightweight Attention Module
    Qiwei Ji, Bo Yu, Zhiwei Yang*, and Hechang Chen
    KSEM 2022

  • Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
    Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen and Guang Chen
    EMNLP 2021: The 2021 Conference on Empirical Methods in Natural Language Processing, November 2021, Punta Cana, Dominican Republic. (CCF-B)

  • Bringing Order to Episodes: Mining Timeline in Social Media
    Shang Wang, Zhiwei Yang*, and Yi Chang
    Neurocomputing (SCI-II)

  • Structure-enhanced Graph Representation Learning for Link Prediction in Signed Networks
    Yunke Zhang, Zhiwei Yang, Bo Yu, Hechang Chen, Yang Li, Xuehua Zhao
    KSEM 2021

📚 Patents

  • Zhiwei Yang, et al. A multimodal-based question knowledge concept annotation method and system. ZL202510838812.1
  • Zhiwei Yang, et al. Explainable false text detection method, device, storage medium and terminal. ZL202211186100.9
  • Zhiwei Yang, et al. Named entity recognition methods, devices, electronic equipments and media. ZL201910952910.2
  • Zhiwei Yang, et al. Nested named entity recognition method, device, medium and terminal. ZL202111263910.5
  • Guodong Chen, Zhiwei Yang, et al. Real-time virtual online glasses-wearing method and system based on HTML5 and augmented reality technology. ZL201610831992.1

🎖 Honors and Awards

  • Second Prize in the 2024 Guangdong Province Artificial Intelligence Industry Association Science and Technology Award
  • Gold Medal in the 2025 Kaggle Agile Community Rules Classification Competition (ISE@JNU-1) (2437 teams participated globally)
  • Silver Medal in Kaggle Santa 2025- Christmas Tree Packing Challenge (ISE@JNU-1) (3348 teams participated globally)
  • Innovative Work Award in the First National Smart Education Platform Data Innovation Application Event – Multimodal Question Knowledge Point Annotation (ISE@JNU)
  • “Star of Scientific Research” in 2020 from CCST. Link
  • “Outstanding Postgraduate Scholarship” (2019-2020) from CCST. Link
  • The first prize of “Graduate academic performance scholarship” in 2022 from CCST Link