Shaozuo Yu

23 papers A* 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation.
CoRR
Xichen Zhang, Ziyi He, Yinghao Zhu, Sitong Wu, Shaozuo Yu, Meng Chu, Wenhu Zhang, Haoru Tan, Jiaya Jia
2026 A* conf
TraveLLaMA: A Multimodal Travel Assistant with Large-Scale Dataset and Structured Reasoning.
AAAI
Meng Chu, Yukang Chen, Haokun Gui, Shaozuo Yu, Yi Wang, Jiaya Jia
2025 J jnl
Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning.
CoRR
Xichen Zhang, Sitong Wu, Yinghao Zhu, Haoru Tan, Shaozuo Yu, Ziyi He, Jiaya Jia
2025 J jnl
SmartSwitch: Advancing LLM Reasoning by Overcoming Underthinking via Promoting Deeper Thought Exploration.
CoRR
Xichen Zhang, Sitong Wu, Haoru Tan, Shaozuo Yu, Yinghao Zhu, Ziyi He, Jiaya Jia
2025 J jnl
TraveLLaMA: Facilitating Multi-modal Large Language Models to Understand Urban Scenes and Provide Travel Assistance.
CoRR
Meng Chu, Yukang Chen, Haokun Gui, Shaozuo Yu, Yi Wang, Jiaya Jia
2025 J jnl
VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis.
CoRR
Meng Chu, Senqiao Yang, Haoxuan Che, Suiyun Zhang, Xichen Zhang, Shaozuo Yu, Haokun Gui, Zhefan Rao, Dandan Tu, Rui Liu, Jiaya Jia
2024 J jnl
BAL: Balancing Diversity and Novelty for Active Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
2024 J jnl
Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition.
CoRR
Zhisheng Zhong, Chengyao Wang, Yuqi Liu, Senqiao Yang, Longxiang Tang, Yuechen Zhang, Jingyao Li, Tianyuan Qu, Yanwei Li, Yukang Chen, Shaozuo Yu, Sitong Wu, Eric Lo, Shu Liu, Jiaya Jia
2024 J jnl
MOODv2: Masked Image Modeling for Out-of-Distribution Detection.
CoRR
Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
2024 J jnl
MOODv2: Masked Image Modeling for Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
2024 J jnl
OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski
2023 J jnl
BAL: Balancing Diversity and Novelty for Active Learning.
CoRR
Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
2023 J jnl
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
CoRR
Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt, Alan L. Yuille, Adam Kortylewski
2023 A* conf
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need.
CVPR
Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia
2023 J jnl
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need.
CoRR
Jingyao Li, Pengguang Chen, Shaozuo Yu, Zexin He, Shu Liu, Jiaya Jia
2022 — conf
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
ECCV (8)
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski
2021 J jnl
Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning.
CoRR
Yilin Wang, Shaozuo Yu, Xiaokang Yang, Wei Shen
2021 J jnl
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts.
CoRR
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski
2021 J jnl
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection.
CoRR
Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao
2021 J jnl
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization.
CoRR
Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang
2020 — conf
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization.
CVPR Workshops
Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang
2020 — conf
The 1st Agriculture-Vision Challenge: Methods and Results.
CVPR Workshops
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang
2020 J jnl
The 1st Agriculture-Vision Challenge: Methods and Results.
CoRR
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang