Yusheng Zhao
Scholar

Yusheng Zhao

Google Scholar ID: KDiTlFkAAAAJ
Peking University
LLMMultimodal LearningTransfer LearningSpatio-temporal ForecastingGNN
Citations & Impact
All-time
Citations
963
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs. NeurIPS (CCF-A) 2025
  • - Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes. ICML (CCF-A) 2025
  • - Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. EMNLP (CCF-B) 2025
  • - Embracing Large Language Models in Traffic Flow Forecasting. ACL (CCF-A) 2025
  • - Attention Bootstrapping for Multi-modal Test-time Adaptation. AAAI (CCF-A) 2025
  • - TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. AAAI (CCF-A) 2025
  • - Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. ICDE (CCF-A) 2023
  • - Target-Driven Structured Transformer Planner for Vision-Language Navigation. ACM MM (CCF-A) 2022 Oral
  • - Object hider: Adversarial patch attack against object detectors. CIKM (CCF-B) Analyticup 2020
  • - COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Information Fusion 2024 JCR Q1, IF=18.6
  • - Towards Semi-supervised Universal Graph Classification. TKDE (CCF-A) 2023
  • - TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding. ACM MM (CCF-A) 2021
  • - Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval. IEEE TIP (CCF-A) 2025
Research Experience
  • - PhD student at the School of Computer Science, Peking University, researching machine learning
  • - Closely working with Prof. Xiao Luo, Prof. Wei Ju, and Prof. Ming Zhang
Education
  • - Degree: PhD
  • - Institution: Peking University
  • - Advisor: Prof. Ming Zhang
  • - Time: Currently enrolled
  • - Major: Computer Science
  • - Degree: B.Eng
  • - Institution: Beihang University
  • - Advisor: Prof. Si Liu
  • - Time: Graduated in June 2022
  • - Major: Computer Science and Engineering
Background
  • - Research Interests: Large Language Models, Machine Learning with Graphs, Spatio-temporal Forecasting, Multi-modal Learning
  • - Field: Computer Science
  • - Brief Introduction: PhD student at the School of Computer Science, Peking University, focusing on machine learning
Miscellany
  • - Personal Interests: Not mentioned