Shaobo Wang (王少博)

Ph.D Candidate, SAI, SJTU

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Mail: gszfwsb@gmail.com

Tel: (+86) 15000937315

City: Shanghai, 200240

I am now a first-year Ph.D Candidate in the School of Artificial Intelligence, Shanghai Jiao Tong University (SJTU), fortunate to be advised by Prof. Linfeng Zhang. Currently, I am also a Research Intern at Alibaba Qwen Team, supervised by Dr. Dayiheng Liu, Xingzhang Ren, and Kexin Yang.

Previously, I was a master’s student of ReThinkLab at SJTU, where I was grateful to be mentored by Prof. Junchi Yan. Additionally, I collaborate closely with Prof. Zhuoran Yang at Yale University, Prof. Xuming Hu at Hong Kong University of Science and Technology (Guangzhou), and Dr. Conghui He at Shanghai AI Laboratory.

:fire: Research. I approach data from both empirical and theoretical perspectives. My current research is centered on data selection, synthesis, and attribution, especially on foundation models. I used to worked on Explainable AI.

:hand: Recruitment. We are currently seeking self-motivated and talented students (Undergraduate, Graduate, or PhD) to join our Data-Centric AI group at the EPIC Lab. Should you have any inquiries or are interested in collaborating, please do not hesitate to contact me!

Curriculum Vitae | 中文简历

:blush: Short bio. I was born in Hefei, China. Outside of academia, I have been playing the piano for over a decade. I once had the honor of performing alongside the world-renowned pianist Lang Lang. My favorite composers include Frédéric Chopin and Franz Liszt. I also like R&B and Neo-Soul. During my teenage years, I won several chess championships in Anhui Province, China, under the guidance of Chess Grandmaster Chongsheng Zeng and Chess Master Yongjin Zhou.

Selected Publications

* denotes the equal contribution.
  1. Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
    Shaobo Wang , Yicun Yang , Zhiyuan Liu , Chenghao Sun , Xuming Hu , Conghui He , and Linfeng Zhang
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
  2. Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
    Shaobo Wang , Xiangqi Jin , Ziming Wang , Jize Wang , Jiajun Zhang , Kaixin Li , Zichen Wen , Zhong Li , and 3 more authors
    Annual Meeting of the Association for Computational Linguistics, 2025
  3. Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
    Shaobo Wang , Hongxuan Tang , Mingyang Wang , Hongrui Zhang , Xuyang Liu , Weiya Li , Xuming Hu , and Linfeng Zhang
    International Conference on Learning Representations, 2025
  4. Dd-ranking: Rethinking the evaluation of dataset distillation
    Zekai Li , Xinhao Zhong , Samir Khaki , Zhiyuan Liang , Yuhao Zhou , Mingjia Shi , Ziqiao Wang , Xuanlei Zhao , and 3 more authors
    2025
  5. Shifting AI Efficiency From Model-Centric to Data-Centric Compression
    Xuyang Liu* , Zichen Wen* , Shaobo Wang* , Junjie Chen , Zhishan Tao , Yubo Wang , Xiangqi Jin , Chang Zou , and 8 more authors
    2025
  6. dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
    Zhiyuan Liu , Yicun Yang , Yaojie Zhang , Junjie Chen , Chang Zou , Qingyan Wei , Shaobo Wang , and Linfeng Zhang
    2025
  7. Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
    Yufa Zhou* , Shaobo Wang* , Xingyu Dong* , Xiangqi Jin , Yifang Chen , Yue Min , Xingzhang Ren , Kexin Yang , and 2 more authors
    2025
  8. Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2)
    Qifeng Li , Xiaosong Jia , Shaobo Wang , and Junchi Yan
    European Conference on Computer Vision, 2024
  9. Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
    Siyu Chen , Heejune Sheen , Tianhao Wang , and Zhuoran Yang
    Advances in Neural Information Processing Systems, 2024
  10. Visualizing the emergence of intermediate visual patterns in dnns
    Mingjie Li , Shaobo Wang , and Quanshi Zhang
    Advances in Neural Information Processing Systems, 2021