Visualizing the Emergence of Intermediate Visual Patterns in DNNs. - Mingjie Li; Shaobo Wang 001; Quanshi Zhang (NeurIPS, 2021)

Trap of Feature Diversity in the Learning of MLPs. - Dongrui Liu; Shaobo Wang 001; Jie Ren 018; Kangrui Wang; Sheng Yin; Quanshi Zhang (CoRR, 2021)

Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework. - Shaobo Wang 001; Xiangdong Zhang; Junchi Yan (CoRR, 2023)

Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2). - Qifeng Li; Xiaosong Jia; Shaobo Wang 001; Junchi Yan (ECCV (45), 2024)

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). - Qifeng Li; Xiaosong Jia; Shaobo Wang 001; Junchi Yan (CoRR, 2024)

Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. - Shaobo Wang 001; Yantai Yang; Qilong Wang; Kaixin Li; Linfeng Zhang 001; Junchi Yan (CoRR, 2024)

DRUPI: Dataset Reduction Using Privileged Information. - Shaobo Wang 001; Yantai Yang; Shuaiyu Zhang; Chenghao Sun; Weiya Li; Xuming Hu; Linfeng Zhang 001 (CoRR, 2024)

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. - Shaobo Wang 001; Hongxuan Tang; Mingyang Wang; Hongrui Zhang; Xuyang Liu; Weiya Li; Xuming Hu; Linfeng Zhang 001 (CoRR, 2024)

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. - Shaobo Wang 001; Xiangqi Jin; Ziming Wang; Jize Wang; Jiajun Zhang; Kaixin Li; Zichen Wen; Zhong Li; Conghui He; Xuming Hu; Linfeng Zhang 001 (ACL (1), 2025)

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. - Shaobo Wang 001; Yicun Yang; Zhiyuan Liu; Chenghao Sun; Xuming Hu; Conghui He; Linfeng Zhang 001 (CVPR, 2025)

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers. - Shaobo Wang 001; Hongxuan Tang; Mingyang Wang; Hongrui Zhang; Xuyang Liu; Weiya Li; Xuming Hu; Linfeng Zhang 001 (ICLR, 2025)

Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More. - Zichen Wen; Yifeng Gao; Shaobo Wang 001; Junyuan Zhang; Qintong Zhang; Weijia Li; Conghui He; Linfeng Zhang 001 (CoRR, 2025)

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches. - Mingquan Feng; Yixin Huang; Yifan Fu; Shaobo Wang 001; Junchi Yan (CoRR, 2025)

Shifting AI Efficiency From Model-Centric to Data-Centric Compression. - Xuyang Liu; Zichen Wen; Shaobo Wang 001; Junjie Chen; Zhishan Tao; Yubo Wang; Xiangqi Jin; Chang Zou; Yiyu Wang; Chenfei Liao; Xu Zheng 002; Honggang Chen; et al. (CoRR, 2025)

dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching. - Zhiyuan Liu; Yicun Yang; Yaojie Zhang; Junjie Chen; Chang Zou; Qingyuan Wei; Shaobo Wang 001; Linfeng Zhang 001 (CoRR, 2025)