Zhu, Yao

20 publications

AAAI 2025 An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu

ICCV 2025 Bridging the Gap Between Ideal and Real-World Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios Chunxiao Li, Xiaoxiao Wang, Meiling Li, Boming Miao, Peng Sun, Yunjian Zhang, Xiangyang Ji, Yao Zhu

ICCV 2025 Enhanced Event-Based Dense Stereo via Cross-Sensor Knowledge Distillation Haihao Zhang, Yunjian Zhang, Jianing Li, Lin Zhu, Meng Lv, Yao Zhu, Yanwei Liu, Xiangyang Ji

NeurIPS 2025 FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts Heming Zou, Yunliang Zang, Wutong Xu, Yao Zhu, Xiangyang Ji

CVPR 2025 High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and a Learned Bit-Depth Scalable Compression Algorithm Zhaoyi Tian, Feifeng Wang, Shiwei Wang, Zihao Zhou, Yao Zhu, Liquan Shen

CVPR 2025 Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis Boming Miao, Chunxiao Li, Xiaoxiao Wang, Andi Zhang, Rui Sun, Zizhe Wang, Yao Zhu

ICCV 2025 SHIFT: Smoothing Hallucinations by Information Flow Tuning for Multimodal Large Language Models Sudong Wang, Yunjian Zhang, Yao Zhu, Enci Liu, Jianing Li, Yanwei Liu, Xiangyang Ji

ICML 2025 The Case for Learned Provenance-Based System Behavior Baseline Yao Zhu, Zhenyuan Li, Yangyang Wei, Shouling Ji

ICCV 2025 Towards Annotation-Free Evaluation: KPAScore for Human Keypoint Detection Xiaoxiao Wang, Chunxiao Li, Peng Sun, Boming Miao, Yunjian Zhang, Yao Zhu

CVPR 2025 Towards Understanding How Knowledge Evolves in Large Vision-Language Models Sudong Wang, Yunjian Zhang, Yao Zhu, Jianing Li, Zizhe Wang, Yanwei Liu, Xiangyang Ji

NeurIPSW 2024 ZOOPFL: Exploring Black-Box Foundation Models for Personalized Federated Learning Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yao Zhu, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji

ICCV 2023 COCO-O: A Benchmark for Object Detectors Under Natural Distribution Shifts Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue

CVPR 2023 ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue

ICLR 2023 Inequality Phenomenon in $l_{\infty}$-Adversarial Training, and Its Unrealized Threats Ranjie Duan, YueFeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue'

NeurIPS 2022 Boosting Out-of-Distribution Detection with Typical Features Yao Zhu, YueFeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue', Xiang Tian, Bolun Zheng, Yaowu Chen

NeurIPS 2022 Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao, YueFeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue'

ICLR 2022 Rethinking Adversarial Transferability from a Data Distribution Perspective Yao Zhu, Jiacheng Sun, Zhenguo Li

AAAI 2021 Relation-Aware Neighborhood Matching Model for Entity Alignment Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du

ICCV 2021 Towards Understanding the Generative Capability of Adversarially Robust Classifiers Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li

IJCAI 2018 Predicting ICU Mortality by Supervised Bidirectional LSTM Networks Yao Zhu, Xiaoliang Fan, Jinzhun Wu, Xiao Liu, Jia Shi, Cheng Wang