Scholar
Shengchao Chen
Google Scholar ID: 9R3tsmUAAAAJ
Australian AI Institute, University of Technology Sydney
Federated Foundation Model
Data-centric Learning
AI for Science
Multi-Modal Learning
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Citations & Impact
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Citations
663
H-index
16
i10-index
22
Publications
20
Co-authors
9
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Publications
10 items
Copy What Is Seen, Generate What Is Not: Training-Free Anomaly-Aware Video Restoration
2026
Cited
0
The Chase Is the Curriculum, the Capture Anchors the Credit: Pursuit-Evasion Self-Play for Zero-Data LLM Reasoning
2026
Cited
0
Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging
2026
Cited
0
FM$^2$: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging
2026
Cited
0
Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design
2026
Cited
0
Federated Weather Modeling on Sensor Data
2026
Cited
0
Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approach
2026
Cited
0
Discrete Prototypical Memories for Federated Time Series Foundation Models
2026
Cited
0
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Resume (English only)
Co-authors
9 total
Guodong Long
Associate Professor, Faculty of Engineering and IT, University of Technology Sydney
Jing Jiang
University of Technology Sydney
Haoyang Xu
TianJin University
Ting Shu
Shenzhen University
Huan Zhao
The Hong Kong Polytechnic University
Chengqi Zhang
Chair Professor of Artificial Intelligence
Tao Shen
Oracle
Yuan Yan Tang
University of Macau