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2020 – today
- 2025
[j1]Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao:
LEGO-Learn: Label-Efficient Graph Open-Set Learning. Trans. Mach. Learn. Res. 2025 (2025)- [c1]Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao:
Few-Shot Graph Out-of-Distribution Detection with LLMs. ECML/PKDD (4) 2025: 307-324 - [i12]Haoyan Xu, Zhengtao Yao
, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao:
Few-Shot Graph Out-of-Distribution Detection with LLMs. CoRR abs/2503.22097 (2025) - [i11]Haoyan Xu, Zhengtao Yao, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao:
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model. CoRR abs/2504.21186 (2025) - [i10]Haoyan Xu, Zhengtao Yao, Ziyi Wang, Zhan Cheng, Xiyang Hu, Mengyuan Li, Yue Zhao:
Graph Synthetic Out-of-Distribution Exposure with Large Language Models. CoRR abs/2504.21198 (2025) - [i9]Yuqi Li, Chuanguang Yang, Junhao Dong, Zhengtao Yao, Haoyan Xu, Zeyu Dong, Hansheng Zeng, Zhulin An, Yingli Tian:
AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models. CoRR abs/2509.00039 (2025) - [i8]Liang Lin, Zhihao Xu, Junhao Dong, Jian Zhao, Yuchen Yuan, Guibin Zhang, Miao Yu, Yiming Zhang, Zhengtao Yao, Huahui Yi, Dongrui Liu, Xinfeng Li, Kun Wang:
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment. CoRR abs/2509.24610 (2025) - [i7]Siheng Wang, Zhengtao Yao, Zhengdao Li, Junhao Dong, Yanshu Li, Yikai Li, Linshan Li, Haoyan Xu, Yijiang Li, Zhikang Dong, Huacan Wang, Jifeng Shen:
JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation. CoRR abs/2510.00974 (2025) - [i6]Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li:
A Systematic Study of Model Extraction Attacks on Graph Foundation Models. CoRR abs/2511.11912 (2025) - [i5]Haoyan Xu, Ruizhi Qian, Zhengtao Yao, Ziyi Liu, Li Li, Yuqi Li, Yanshu Li, Wenqing Zheng, Daniele Rosa, Daniel Barcklow, Senthil Kumar, Jieyu Zhao, Yue Zhao:
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning. CoRR abs/2511.17584 (2025) - [i4]Yunfei Zhang, Yizhuo He, Yuanxun Shao, Zhengtao Yao, Haoyan Xu, Junhao Dong, Zhen Yao, Zhikang Dong:
ChromouVQA: Benchmarking Vision-Language Models under Chromatic Camouflaged Images. CoRR abs/2512.05137 (2025) - [i3]Ke Niu, Haiyang Yu, Zhuofan Chen, Zhengtao Yao, Weitao Jia, Xiaodong Ge, Jingqun Tang, Benlei Cui, Bin Li, Xiangyang Xue:
CME-CAD: Heterogeneous Collaborative Multi-Expert Reinforcement Learning for CAD Code Generation. CoRR abs/2512.23333 (2025) - 2024
- [i2]Zhengtao Yao, Hong Nguyen, Ajitesh Srivastava, José Luis Ambite:
Task-Agnostic Federated Learning. CoRR abs/2406.17235 (2024) - [i1]Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding, Yue Zhao:
LEGO-Learn: Label-Efficient Graph Open-Set Learning. CoRR abs/2410.16386 (2024)
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