Chaochao Lu
Scholar

Chaochao Lu

Google Scholar ID: C_Qxt0IAAAAJ
Shanghai AI Laboratory
Causal AI
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Citations & Impact
All-time
Citations
1,248
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
9
list available
Contact
No contact links provided.
Publications
41 items
TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios
2026
Cited
0
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
2026
Cited
0
Native Reasoning Models: Training Language Models to Reason on Unverifiable Data
2026
Cited
0
Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference
2026
Cited
0
CauScale: Neural Causal Discovery at Scale
2026
Cited
0
Can Post-Training Transform LLMs into Causal Reasoners?
2026
Cited
0
HoliAntiSpoof: Audio LLM for Holistic Speech Anti-Spoofing
2026
Cited
0
Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment
2026
Cited
0
Resume (English only)
Co-authors
9 total
Bernhard Schölkopf
Bernhard Schölkopf
Director, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH
José Miguel Hernández-Lobato
José Miguel Hernández-Lobato
Professor of Machine Learning, University of Cambridge
Xiaoou Tang
Xiaoou Tang
The Chinese University of Hong Kong
Kun Zhang
Kun Zhang
Carnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Co-author 5
Co-author 5
Co-author 6
Co-author 6
Sara Magliacane
Sara Magliacane
University of Amsterdam
Nate Kushman
Nate Kushman
Research Scientist, DeepMind