Shen, Yu

13 publications

ICML 2025 Adaptive Sensitivity Analysis for Robust Augmentation Against Natural Corruptions in Image Segmentation Laura Yu Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming Lin

NeurIPS 2025 CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems Rui Liu, Yu Shen, Peng Gao, Pratap Tokekar, Ming Lin

CVPR 2025 Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions Ting-Hsuan Liao, Yi Zhou, Yu Shen, Chun-Hao Paul Huang, Saayan Mitra, Jia-Bin Huang, Uttaran Bhattacharya

MLOSS 2024 OpenBox: A Python Toolkit for Generalized Black-Box Optimization Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui

ICML 2023 Auxiliary Modality Learning with Generalized Curriculum Distillation Yu Shen, Xijun Wang, Peng Gao, Ming Lin

AAAI 2023 ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui

ICML 2022 Deep and Flexible Graph Neural Architecture Search Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui

NeurIPS 2022 DivBO: Diversity-Aware CASH for Ensemble Learning Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui

ECCVW 2022 Human-Vehicle Cooperative Visual Perception for Autonomous Driving Under Complex Traffic Environments Yiyue Zhao, Cailin Lei, Yu Shen, Yuchuan Du, Qijun Chen

ICML 2022 NAFS: A Simple yet Tough-to-Beat Baseline for Graph Representation Learning Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

NeurIPS 2021 Gradient-Free Adversarial Training Against Image Corruption for Learning-Based Steering Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming Lin

AAAI 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui

ECCV 2020 GAN-Based Garment Generation Using Sewing Pattern Images Yu Shen, Junbang Liang, Ming C. Lin