Chaoning Zhang

Chaoning Zhang

Full Professor at University of Electronic Science and Technology of China (UESTC)

Welcome

Chaoning Zhang is currently a Full Professor at University of Electronic Science and Technology of China (UESTC). He is an IEEE Senior Member and also recognized as World's Top 2% Scientists (Stanford/Elsevier). On Google Scholar, he has 7500+ citations with an index of 41 (by August 1, 2026). At CSE of UESTC, he directs an AI research lab that explores Multimodal AI, including CV, NLP, and their intersection (VLM, VLA, etc). Moreover, the lab focuses on AI Agents (Memory, RAG, Multi-agent, etc) and AI4Scinece (PINN, Neural Operator, etc). The lab has been actively seeking motivated postdocs, PhD students, master students, and research interns. Contact Email: chaoningzhang1990@gmail.com.

(1) For PhD and Master programs, on top of free tuition and free campus dormitory, the foreign students can apply for CSC government scholarship. The CSC government scholarship for PhD/master students is 3500/3000 RMB/month. The university scholarship of 1500 RMB per month will be provided if they are admitted but fail for CSC government scholarship.

(2) For remote interns, it's mainly designed to help those, who are interested in joining our PhD/Master programs, have a sense of how working with us feels. The lab does not offer a stipend for remote interns; however, they may be eligible for a stipend if they transition to an on-site role. For postdoc positions, we offer a competitive salary depending on the qualifications.

Recent publications

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models (ICLR 2026)
Text Summarization via Global Structure Awareness (ICLR 2026)
Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain (ICLR 2026)
Experience Transfer for Multimodal LLM Agents in Minecraft Game (CVPR 2026)
Lightweight LLM Agent Memory with Small Language Models (ACL 2026)
Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models (ACL Findings 2026)
From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection (ICML 2026)
TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations (KDD 2026)
FedGAT: Federated Geometry-Aware and Topological Condensation (ACM MM 2026)
Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game (ACM MM 2026)
Salient-Residual Decoupled Multi-View Learning for Clustering (IJCAI 2026)
Robustness of SAM: Segment Anything Under Corruptions and Beyond (TPAMI 2026)
Joint Lossless Compression and Steganography for Medical Images via Large Language Models (TMM 2026)
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation (TMM 2026)
Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions (TCSVT 2026)