Zhang, Yao

33 publications

WACV 2025 CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp

CVPRW 2025 Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution Xinning Chai, Yao Zhang, Yuxuan Zhang, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Li Song

AAAI 2025 DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes Yang Liu, Feng Hou, Yunjie Peng, Gangjian Zhang, Yao Zhang, Dong Xie, Peng Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He

CVPR 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

IJCAI 2025 Incentives for Early Arrival in Cooperative Games (Extended Abstract) Yaoxin Ge, Yao Zhang, Dengji Zhao, Zhihao Gavin Tang, Hu Fu, Pinyan Lu

ICLRW 2025 Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs Gengyuan Zhang, Mingcong Ding, Tong Liu, Yao Zhang, Volker Tresp

AAAI 2025 Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference Jiangou Zhan, Wenhui Zhang, Zheng Zhang, Huanran Xue, Yao Zhang, Ye Wu

AAAI 2025 WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp

MLJ 2024 DynamiSE: Dynamic Signed Network Embedding for Link Prediction Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang

AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp

ICML 2024 GroupCover: A Secure, Efficient and Scalable Inference Framework for On-Device Model Protection Based on TEEs Zheng Zhang, Na Wang, Ziqi Zhang, Yao Zhang, Tianyi Zhang, Jianwei Liu, Ye Wu

ICLR 2023 Explaining Temporal Graph Models Through an Explorer-Navigator Framework Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li

IJCAI 2023 Incentive-Compatible Selection for One or Two Influentials Yuxin Zhao, Yao Zhang, Dengji Zhao

CVPR 2023 SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He

IJCAI 2023 Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗ Yao Zhang, Xiuzhen Zhang, Dengji Zhao

AISTATS 2022 Identifiable Energy-Based Representations: An Application to Estimating Heterogeneous Causal Effects Yao Zhang, Jeroen Berrevoets, Mihaela Van Der Schaar

IJCAI 2022 Diffusion Incentives in Cooperative Games Yao Zhang

AAAI 2021 Argument Mining Driven Analysis of Peer-Reviews Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl

IJCAI 2021 BAMBOO: A Multi-Instance Multi-Label Approach Towards VDI User Logon Behavior Modeling Wen-Ping Fan, Yao Zhang, Qichen Hao, Xinya Wu, Min-Ling Zhang

AAAI 2021 Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang

NeurIPS 2021 MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar

NeurIPS 2021 Reinforcement Learning Enhanced Explainer for Graph Neural Networks Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li

NeurIPS 2021 SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela Wood, Mihaela van der Schaar

NeurIPS 2020 CASTLE: Regularization via Auxiliary Causal Graph Discovery Trent Kyono, Yao Zhang, Mihaela van der Schaar

AAAI 2020 Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network Zhe Ma, Jianfeng Dong, Zhongzi Long, Yao Zhang, Yuan He, Hui Xue, Shouling Ji

NeurIPS 2020 Gradient Regularized V-Learning for Dynamic Treatment Regimes Yao Zhang, Mihaela van der Schaar

NeurIPS 2020 Learning Outside the Black-Box: The Pursuit of Interpretable Models Jonathan Crabbe, Yao Zhang, William Zame, Mihaela van der Schaar

AISTATS 2020 Learning Overlapping Representations for the Estimation of Individualized Treatment Effects Yao Zhang, Alexis Bellot, Mihaela Schaar

NeurIPS 2020 Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification Hyun-Suk Lee, Yao Zhang, William Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar

AISTATS 2020 Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning Yao Zhang, Daniel Jarrett, Mihaela Schaar

IJCAI 2020 Sybil-Proof Answer Querying Mechanism Yao Zhang, Xiuzhen Zhang, Dengji Zhao

NeurIPS 2020 VIME: Extending the Success of Self- and Semi-Supervised Learning to Tabular Domain Jinsung Yoon, Yao Zhang, James Jordon, Mihaela van der Schaar

AAAI 2019 CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li, Min-Ling Zhang