Shaobo Wang

According to our database, Shaobo Wang authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Linfeng Zhang

CoRR, June, 2025

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, Yiyu Wang, Chenfei Liao, Xu Zheng, Honggang Chen, Weijia Li, Xuming Hu, Conghui He, Linfeng Zhang

CoRR, May, 2025

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches.

Mingquan Feng, Yixin Huang, Yifan Fu, Shaobo Wang, Junchi Yan

CoRR, May, 2025

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

CoRR, February, 2025

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers.

Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang

CoRR, 2024

DRUPI: Dataset Reduction Using Privileged Information.

Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang

CoRR, 2024

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

CoRR, 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, Junchi Yan

CoRR, 2024

Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2).

Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework.

Shaobo Wang, Xiangdong Zhang, Junchi Yan

CoRR, 2023

2021

Trap of Feature Diversity in the Learning of MLPs.

Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang

CoRR, 2021

Visualizing the Emergence of Intermediate Visual Patterns in DNNs.

Mingjie Li, Shaobo Wang, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021