Scholar
Yusheng Zhao
Google Scholar ID: KDiTlFkAAAAJ
Peking University
LLM
Multimodal Learning
Transfer Learning
Spatio-temporal Forecasting
GNN
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Citations & Impact
All-time
Citations
963
H-index
12
i10-index
13
Publications
20
Co-authors
14
list available
Contact
GitHub
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Publications
3 items
Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers
2026
Cited
0
Detached Skip-Links and $R$-Probe: Decoupling Feature Aggregation from Gradient Propagation for MLLM OCR
2026
Cited
0
DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise
2026
Cited
0
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
Co-authors
14 total
Xiao Luo
University of Wisconsin–Madison
Ming Zhang(张铭)
Professor,Peking University
Wei Ju(琚玮)
Associate Professor, Sichuan University
Zhiping Xiao
Postdoc at University of Washington
Junwei Yang
Peking University
si liu
Beihang University
Dailan He
PhD candidate @The Chinese University of Hong Kong
Philip S. Yu
Professor of Computer Science, University of Illinons at Chicago
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