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Shaobo Wang 0001
Person information
- affiliation: Shanghai Jiao Tong University, Shanghai, China
Other persons with the same name
- Shaobo Wang — disambiguation page
- Shaobo Wang 0002 — Huawei Technologies CO., Ltd, Shanghai, China
- Shaobo Wang 0003 — Tianjin University, Tianjin, China
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2020 – today
- 2024
- [c2]Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan:
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2). ECCV (45) 2024: 142-158 - [i7]Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan:
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). CoRR abs/2402.16720 (2024) - [i6]Shaobo Wang, Yantai Yang, Qilong Wang, Kaixin Li, Linfeng Zhang, Junchi Yan:
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. CoRR abs/2408.12483 (2024) - [i5]Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang:
DRUPI: Dataset Reduction Using Privileged Information. CoRR abs/2410.01611 (2024) - [i4]Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang:
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. CoRR abs/2410.21815 (2024) - 2023
- [i3]Shaobo Wang, Xiangdong Zhang, Junchi Yan:
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework. CoRR abs/2311.15993 (2023) - 2021
- [c1]Mingjie Li, Shaobo Wang, Quanshi Zhang:
Visualizing the Emergence of Intermediate Visual Patterns in DNNs. NeurIPS 2021: 6594-6607 - [i2]Mingjie Li, Shaobo Wang, Quanshi Zhang:
Visualizing the Emergence of Intermediate Visual Patterns in DNNs. CoRR abs/2111.03505 (2021) - [i1]Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang:
Trap of Feature Diversity in the Learning of MLPs. CoRR abs/2112.00980 (2021)
Coauthor Index
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last updated on 2024-12-30 20:22 CET by the dblp team
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