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Yongliang Shen

ZJU-100 Young Professor
Zhejiang University
syl (at) zju.edu.cn


About Me

I am an assistant professor (ZJU-100 Young Professor) at Zhejiang University. I received my Ph.D. degree from Zhejiang University in 2024, supervised by Prof. Yueting Zhuang. My research interests include large language models, AI agents and knowledge graph. I am a member of DCD Lab and worked closely with Prof. Weiming Lu. From 2021 to 2022, I was a research intern at Alibaba DAMO Academy, mentored by Xiaobin Wang and Yong Jiang. From 2022 to 2023, I was a research intern at Microsoft Research Asia, mentored by Kaitao Song and Xu Tan.

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Recent Publications

(* indicates equal contribution, # indicates corresponding author)

  1. NeurIPS
    HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
    Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
    Advances in Neural Information Processing Systems (NeurIPS), 2023.
  2. NeurIPS
    TaskBench: Benchmarking Large Language Models for Task Automation
    Yongliang Shen,Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Y. Zhuang
    Advances in Neural Information Processing Systems (NeurIPS), 2024.
  3. ACL
    Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
    Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu
    Annual Meeting of the Association for Computational Linguistics (ACL), 2021.
  4. ACL
    DiffusionNER: Boundary Diffusion for Named Entity Recognition
    Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
    Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
  5. EMNLP
    Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
    Mingqian He, Yongliang Shen#, Wenqi Zhang, Zeqi Tan, Weiming Lu
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
  6. EMNLP
    Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
    Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
  7. ACL Findings
    TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-Mind
    Guiyang Hou, Wenqi Zhang, Yongliang Shen, Linjuan Wu, Weiming Lu
    Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2024.
  8. ACL Findings
    Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models
    Guiyang Hou, Yongliang Shen, Weiming Lu
    Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2024.
  9. Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
    Wenqi Zhang, Yongliang Shen, Weiming Lu, Yueting Zhuang
    Arxiv, 2023.
  10. DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
    Xinyu Wang*, Yongliang Shen*, Jiong Cai*, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang
    International Workshop on Semantic Evaluation (SemEval), 2022.
  11. PromptNER: Prompt Locating and Typing for Named Entity Recognition
    Yongliang Shen, Zeqi Tan, Shuhui Wu, Wenqi Zhang, Weiming Lu, Yueting Zhuang
    Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
  12. A Trigger-sense Memory Flow Framework for Joint Entity and Relation Extraction
    Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu
    The Web Conference (WWW), 2021.
  13. Parallel Instance Query Network for Named Entity Recognition
    Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang
    Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
  14. A Sequence-to-Set Network for Nested Named Entity Recognition
    Zeqi Tan*, Yongliang Shen*, Shuai Zhang, Weiming Lu, Yueting Zhuang
    International Joint Conference on Artificial Intelligence (IJCAI), 2021.
  15. Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
    Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu
    International Joint Conference on Artificial Intelligence (IJCAI), 2020.
  16. Towards Data-Efficient Detection Transformers
    Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao
    European Conference on Computer Vision (ECCV), 2022.
  17. Query-based Instance Discrimination Network for Relational Triple Extraction
    Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
  18. Adversarial Self-Supervised Data-Free Distillation for Text Classification
    Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
  19. De-Bias for Generative Extraction in Unified NER Task
    Shuai Zhang, Yongliang Shen, Zeqi Tan, Yiquan Wu, Weiming Lu
    Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
  20. Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data
    Chenghao Jia, Yongliang Shen, Yechun Tang, Lu Sun, Weiming Lu
    Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2021.

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