CV

Ph.D. in Artificial Intelligence

• {"Advisor" => "Prof. Linfeng Zhang."}
• {"Research Direction" => "Data-Centric AI."}
• {"Expected graduation" => "2028."}

M.S. in Computer Science and Technology

• {"Advisor" => "Prof. Junchi Yan."}
• GPA: 3.98/4.0; Rank: 2/81.
• {"Research Direction" => "Explainable AI."}

B.Eng. in Software Engineering

• GPA: 3.96/4.0; Rank: 1/181.

• I was selected as a Tencent Hunyuan Scholar, one of 23 recipients in China.

• {"CVPR 2025 Highlight for “Dataset Distillation with Neural Characteristic Function" => "A Minmax Perspective.”"}

Research Intern, Alibaba Qwen Team

• Supervised by Dr. Dayiheng Liu and Xingzhang Ren.
• Work on LLM pre-training and data-centric foundation model research.
• One of the core contributors to Qwen3.5 and incoming Qwen3.6, Qwen3.7, and Qwen4.0.

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

• Shaobo Wang, Xuan Ouyang, Tianyi Xu, Yuzheng Hu, Jialin Liu, Guo Chen, Tianyu Zhang, Junhao Zheng, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang.

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective

• Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang.

Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data?

• Shaobo Wang†, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang.
• Code: EssenceBench.

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models

• Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Xuming Hu, Linfeng Zhang.

Grounding and Enhancing Informativeness and Utility in Dataset Distillation

• Shaobo Wang†, Yantai Yang, Guo Chen, Peiru Li, Kaixin Li, Yufa Zhou, Zhaorun Chen, Linfeng Zhang.

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, Conghui He, Xuming Hu, Linfeng Zhang.
• Code: Data-Whisperer.

CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs

• Shaobo Wang†, Yongliang Miao, Yuancheng Liu, Qianli Ma, Ning Liao, Linfeng Zhang.

MelTrim: Coarse-to-Fine Data Pruning for Speech Classification

• Shaobo Wang, Tianle Niu, Xuan Ouyang, Xintong Li, Zhengkun Ge, Yue Min, Xiaoqian Liu, Hankun Wang, Linfeng Zhang.

Socratic-Geo: Synthetic Data Generation and Geometric Reasoning via Multi-Agent Interaction

• Zhengbo Jiao*, Shaobo Wang*, Zifan Zhang*, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang.

ImagebindDC: Compressing Multimodal Data with Imagebind-based Condensation

• Yue Min*, Shaobo Wang*, Jiaze Li, Tianle Niu, Junxin Fan, Yongliang Miao, Lijin Yang, Linfeng Zhang.

UNSEEN: Incremental Dataset Pruning via Cross-Model Generalization Scoring

• Furui Xu*, Shaobo Wang*, Jiajun Zhang, Chenghao Sun, Haixiang Tang, Linfeng Zhang.

Qwen3.5 Series

• One of the best open-source model series.

Awesome Dataset Distillation

• GitHub 1.9k stars.

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

• Shaobo Wang, Xuan Ouyang, Tianyi Xu, Yuzheng Hu, Jialin Liu, Guo Chen, Tianyu Zhang, Junhao Zheng, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang.

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective

• Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang.

Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data?

• Shaobo Wang†, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang.

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models

• Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Xuming Hu, Linfeng Zhang.

Grounding and Enhancing Informativeness and Utility in Dataset Distillation

• Shaobo Wang†, Yantai Yang, Guo Chen, Peiru Li, Kaixin Li, Yufa Zhou, Zhaorun Chen, Linfeng Zhang.

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, Conghui He, Xuming Hu, Linfeng Zhang.

Socratic-Geo: Synthetic Data Generation and Geometric Reasoning via Multi-Agent Interaction

• Zhengbo Jiao*, Shaobo Wang*, Zifan Zhang*, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang.

ImagebindDC: Compressing Multimodal Data with Imagebind-based Condensation

• Yue Min*, Shaobo Wang*, Jiaze Li, Tianle Niu, Junxin Fan, Yongliang Miao, Lijin Yang, Linfeng Zhang.

UNSEEN: Incremental Dataset Pruning via Cross-Model Generalization Scoring

• Furui Xu*, Shaobo Wang*, Jiajun Zhang, Chenghao Sun, Haixiang Tang, Linfeng Zhang.

DRUPI: Dataset Reduction Using Privileged Information

• Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Xuming Hu, Linfeng Zhang.

Not All Samples should be Utilized Equally: Towards Understanding and Improving Dataset Distillation

• Shaobo Wang, Yantai Yang, Qilong Wang, Kaixin Li, Linfeng Zhang, Junchi Yan.

CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs

• Shaobo Wang†, Yongliang Miao, Yuancheng Liu, Qianli Ma, Ning Liao, Linfeng Zhang.

Stability Implies Redundancy: Delta Attention Selective Halting for Efficient Long-Context Prefilling

• Yujie Chen, Tailai Chen, Yifeng Gao, Zoe Wanying He, Yijue Xu, Shaobo Wang, Linfeng Zhang.

MelTrim: Coarse-to-Fine Data Pruning for Speech Classification

• Shaobo Wang, Tianle Niu, Xuan Ouyang, Xintong Li, Zhengkun Ge, Yue Min, Xiaoqian Liu, Hankun Wang, Linfeng Zhang.

Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

• Zichen Wen, Shaobo Wang, Yufa Zhou, Junyuan Zhang, Qintong Zhang, Yifeng Gao, Zhaorun Chen, Bin Wang, Weijia Li, Conghui He, Linfeng Zhang.

Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More

• Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang.

Think2Drive: Brick by Brick to Build a Model-based RL Agent for Quasi-Realistic Autonomous Driving (in CARLA-v2)

• Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan.

Visualizing the Emergence of Intermediate Visual Patterns in DNNs

• Mingjie Li, Shaobo Wang, Quanshi Zhang.

SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching

• Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Fei Ren, Shaobo Wang, Kaixin Li, Linfeng Zhang.

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching

• Zhixin Zheng, Xinyu Wang, Chang Zou, Shaobo Wang, Linfeng Zhang.

Bridging Visual Dynamics and Narrative Reasoning: Multimodal Large Language Models for Short Drama Quality Assessment

• Qingyang Liu, Jiangtong Li, Zelin Peng, Shaobo Wang, Zhaohe Liao, Shuochen Chang, Bingjie Gao, Haonan Zhao, Mu Liu, Jidong Jiang, Li Niu.

Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis

• Zhengbo Jiao, Shaobo Wang, Zifan Zhang, Xuan Ren, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang.

dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching

• Zhiyuan Liu, Yicun Yang, Yaojie Zhang, Junjie Chen, Chang Zou, Qingyuan Wei, Shaobo Wang, Linfeng Zhang.

Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners

• Qingyang Liu, Bingjie Gao, Canmiao Fu, Zhipeng Huang, Chen Li, Feng Wang, Shuochen Chang, Shaobo Wang, Yali Wang, Keming Ye, Jiangtong Li, Li Niu.