Scholar

Jindong Li

Google Scholar ID: w-ZGDjMAAAAJ

Hong Kong University of Science and Technology (Guangzhou)

LLMsMultimodal LearningAIGCGeometric LearningGraph Learning

Citations & Impact

All-time

Citations

129

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

15 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

1. CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-Level Anomaly Detection, ECML PKDD 2023
2. ScreenAgent: A Vision Language Model-driven Computer Control Agent, IJCAI 2024
3. LCD-Net: A Lightweight Remote Sensing Change Detection Network Combining Feature Fusion and Gating Mechanism, IEEE J-STAR 2025
4. GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model, ECML PKDD 2025
5. Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision–Language Models, AAAI 2026
6. Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey, arXiv Preprint 2025
7. Implicit Reasoning in Large Language Models: A Comprehensive Survey, arXiv Preprint 2025

Research Experience

Currently a Ph.D. student at Thrust of Artificial Intelligence at HKUST-GZ, under the supervision of Prof. Menglin Yang. Previously, he pursued his Master's degree at Jilin University, focusing on Graph Data Mining, Unsupervised Learning, and LLMs.

Education

1. Hong Kong University of Science and Technology (HKUST-GZ) - Ph.D. in Artificial Intelligence, Supervisor: Assistant Prof. Menglin Yang
2. Jilin University (JLU) - M.E. in Computer Science and Technology, Supervisor: Associate Prof. Qi Wang, Research Topic: Graph Data Mining, Unsupervised Learning, LLMs, Average Score: 85.02
3. National University of Defense Technology (NUDT) - B.E. in Electronic Engineering, Average Score: 82.4, Rank: 2/115

Background

Research interests include Machine Learning (ML) and Deep Learning (DL), with a focus on Large Language Models (LLMs), Multimodal Learning (MM), Electronic Design Automation (EDA), AI-Generated Content (AIGC), Geometric Learning with LLM, Graph Learning (GNNs), Anomaly Detection (AD), Recommender System (RecSys), Domain Generalization (DG) and Domain Adaptation (DA), Unsupervised Learning, Few-Shot Learning, Continual Learning, etc.

Miscellany