I am a PhD student in School of Computer Science, Peking University. I am currently researching machine learning under the supervision of Prof. Ming Zhang. Prior to that, I received my B.Eng degree in Computer Science and Engineering from Beihang University in June 2022 under the supervision of Prof. Si Liu. I also work closely with Dr. Xiao Luo and Prof. Wei Ju.

Research Interest

• Large Language Models
• Machine Learning with Graphs
• Spatio-temporal Forecasting
• Multi-modal Learning

Academic Services

• PC Member / Conference Reviewer:
  • 2025: NeurIPS, MM, ICML, AAAI, AISTATS, KDD
  • 2024: NeurIPS, MM, ICML, ICLR, SDM, ICASSP, ICWSM
  • 2023: NeurIPS, KDD
• Journal Reviewer:
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Artificial Intelligence
  • IEEE Internet of Things Journal
  • GeoInformatica

Selected Publications

(^* equal contribution; ^† corresponding author)

• Yusheng Zhao, Qixin Zhang, Xiao Luo^†, Junyu Luo, Wei Ju, Zhiping Xiao^†, Ming Zhang^†. Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes. ICML (CCF-A) 2025
• Yusheng Zhao, Junyu Luo, Xiao Luo^†, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao^†, Ming Zhang^†. Attention Bootstrapping for Multi-modal Test-time Adaptation. AAAI (CCF-A) 2025 [PDF] [CODE]
• Yusheng Zhao, Changhu Wang, Xiao Luo^†, Junyu Luo, Wei Ju, Zhiping Xiao^†, Ming Zhang^†. TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. AAAI (CCF-A) 2025 [PDF]
• Yusheng Zhao, Xiao Luo^†, Haomin Wen, Zhiping Xiao^†, Wei Ju, Ming Zhang^†. Embracing Large Language Models in Traffic Flow Forecasting. ACL (CCF-A) Findings 2025
• Yusheng Zhao^*, Xiao Luo^*, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang^†. Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. ICDE (CCF-A) 2023 [PDF] [CODE]
• Yusheng Zhao^*, Jinyu Chen^*, Chen Gao, Wenguan Wang^†, Lirong Yang, Haibing Ren, Huaxia Xia, Si Liu. Target-Driven Structured Transformer Planner for Vision-Language Navigation. ACM MM (CCF-A) 2022 Oral [PDF] [CODE]
• Yusheng Zhao^*, Huanqian Yan^*, Xingxing Wei^†. Object hider: Adversarial patch attack against object detectors. CIKM (CCF-B) Analyticup 2020 [PDF]
• Wei Ju^*, Yusheng Zhao^*, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo^†, Xiting Yan, and Ming Zhang^†. COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Information Fusion 2024 JCR Q1, IF=18.6 [PDF]
• Xiao Luo^*, Yusheng Zhao^*, Yifang Qin^*, Wei Ju, Ming Zhang^†. Towards Semi-supervised Universal Graph Classification. TKDE (CCF-A) 2023 [PDF]
• Dailan He^*, Yusheng Zhao^*, Junyu Luo^*, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu^†. TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding. ACM MM (CCF-A) 2021 [PDF] [CODE]
• Junyu Luo, Yusheng Zhao, Xiao Luo^†, Zhiping Xiao^†, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang^†. Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval. IEEE TIP (CCF-A) 2025 [PDF] [CODE]