About Me

I am currently a Postdoctoral Fellow at Nanyang Technological University (NTU), Singapore. I earned my PhD degree from University of Electronic Science and Technology of China (UESTC) in 2024 and my Bachelor's and Master's degrees from Southwest University (SWU) in 2017 and 2020.


My current research interests focus on exploring agentic reinforcement learning techniques for training LLM-based agents deployed in real-world long-horizon agentic applications.

Top News

• [Feb 2026] One paper was accepted by ICLR'26.
• [Jan 2026] Invited to serve as a Session Chair (Machine Learning) for AAAI'26.
• [Jan 2026] Invited to serve as a PC member for IJCAI'26.
• [Nov 2025] Invited to serve as a PC member for ICML'26.
• [Sep 2025] One paper was accepted by NeurIPS'25.
• [Sep 2025] Invited to serve as a PC member for ICLR'26.
• [Jun 2025] Invited to serve as a Senior PC member for AAAI'26.
• [May 2025] Three papers were accepted by ICML'25.
• [Dec 2024] One paper was accepted by AAAI'25 as an oral presentation.
• [Jan 2024] One paper was accepted by ICLR'24 as an oral presentation.

Publications

(^* indicates equal contribution, ^† indicates corresponding author)

• Shuo He, Lang Feng, Qi Wei, Xin Cheng, Lei Feng, Bo An .
  Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks. (Preparing the camera-ready version and open-sourcing the code.)
  Proceedings of the International Conference on Learning Representations (ICLR'26).
• Zhifang Zhang, Shuo He^†, Haobo Wang, Bingquan Shen, Lei Feng^†.
  Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning [pdf] [code]
  Proceedings of the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS'25).
• Yuwei Niu^*, Shuo He^*, Qi Wei, Feng Liu, Lei Feng.
  BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection [pdf] [code]
  Proceedings of the 42th International Conference on Machine Learning (ICML'25).
• Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng.
  A Closer Look at Backdoor Attacks on CLIP. [pdf] [code]
  Proceedings of the 42th International Conference on Machine Learning (ICML'25).
• Qi Wei, Shuo He, Jiahan Zhang, Lei Feng, Bo An.
  Representation Surgery in Model Merging with Probabilistic Modeling. [pdf] [code]
  Proceedings of the 42th International Conference on Machine Learning (ICML'25).
• Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An.
  Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack. [pdf]
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'25). (Oral)
• Shuo He, Chaojie Wang, Guowu Yang, Lei Feng.
  Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning. [pdf] [code]
  Proceedings of the International Conference on Learning Representations (ICLR'24). (Oral, Acceptance Rate: 1.16%)
• Shuo He, Lei Feng, Guowu Yang.
  Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. [pdf] [code]
  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD'23).
• Shuo He, Guowu Yang, Lei Feng.
  Candidate-aware selective disambiguation based on normalized entropy for instance-dependent partial-label learning. [pdf] [code]
  Proceedings of the International Conference on Computer Vision (ICCV'23).
• Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng.
  A generalized unbiased risk estimator for learning with augmented classes. [pdf] [code]
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'23).
• Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang.
  Partial label learning with semantic label representations. [pdf] [code]
  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD'22).
• Shuo He, Ke Deng, Li Li, Senlin Shu, Li Liu.
  Discriminatively relabel for partial multi-label learning. [pdf] [code]
  Proceedings of the IEEE International Conference on Data Mining (ICDM'19).(Oral, Acceptance Rate: 9%).
• Lei Feng, Bo An, Shuo He.
  Collaboration based multi-label learning. [pdf]
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'19).
• Shuo He, Lei Feng, Li Li.
  Estimating latent relative labeling importances for multi-label learning. [pdf] [code]
  Proceedings of the IEEE International Conference on Data Mining (ICDM'18).

Education

• Nanyang Technological University. Research Fellow. 2024-present
• University of Electronic Science and Technology of China. PhD. 2020-2024
• Southwest University. Master. 2017-2020
• Southwest University. Bachelor. 2013-2017

Academic Services

Conference reviewer:

• Senior Program Chair for AAAI Conference on Artificial Intelligence (AAAI) 2026
• European Conference on Computer Vision (ECCV): 2026
• International Conference on Learning Representations (ICLR): 2025, 2026
• AAAI Conference on Artificial Intelligence (AAAI): 2022, 2023, 2024
• Conference on Computer Vision and Pattern Recognition (CVPR): 2026
• Annual Conference on Neural Information Processing Systems (NeurIPS): 2025
• International Conference on Machine Learning (ICML): 2024, 2025, 2026
• IEEE/CVF International Conference on Computer Vision (ICCV): 2025
• International Joint Conference on Artificial Intelligence (IJCAI): 2024

Journal reviewer:

• Information (Guest Editor)
• Pattern Recognition (PR)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)