Scholar
Wei-Ning Chen
Google Scholar ID: -TqCZLIAAAAJ
Microsoft
Information Theory
Statistics
Differential Privacy
Federated Learning
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Citations & Impact
All-time
Citations
714
H-index
12
i10-index
15
Publications
20
Co-authors
34
list available
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Publications
6 items
Simulating Environments with Reasoning Models for Agent Training
2025
Cited
0
ACON: Optimizing Context Compression for Long-horizon LLM Agents
2025
Cited
0
Learning GUI Grounding with Spatial Reasoning from Visual Feedback
2025
Cited
0
Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States
2025
Cited
0
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
2025
Cited
0
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
Paper accepted to AISTATS 2024 (Jan. 2024)
Three papers accepted to NeurIPS 2023 (Sept. 2023)
Presented posters at NeurIPS 2023 (New Orleans), Asilomar Conference (Monterey), and TPDP 2023 (Boston)
Invited talk at IZS 2024 (Zurich)
Delivered invited talks at CISS, ITW, National University of Singapore, National Taiwan University, Google, and Meta
Reviewer for top-tier conferences including ICML, NeurIPS, ICLR, ISIT, and IEEE journals
Area Chair for ICML 2021 ITR3 Workshop
Co-authors
34 total
Ayfer Ozgur
Professor of Electrical Engineering, Stanford University
Peter Kairouz
Research Scientist, Google
Surin Ahn
Microsoft
Christopher A. Choquette-Choo
OpenAI
Co-author 5
Albert No
Associate Professor of Department of Artificial Intelligence at Yonsei University
Co-author 7
Ananda Theertha Suresh
Google Research, New York
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