Chen Wu

Principal Applied Scientist, AI, Microsoft

Joined

June 2019

Names

Chen Wu (Preferred)

Emails

****@icloud.com (Confirmed)

****@hotmail.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Principal Applied Scientist

AI, Microsoft (microsoft.com)

2022 – Present

Principal Researcher

Tencent YouTu Lab (tencent.com)

2021 – 2022

Advisors, Relations & Conflicts

Coauthor

Bin Bi

Present

Coauthor

Nan Li

Present

Expertise

Information Retrieval

Present

Natural Language Processing

Present

Publications

Cross-Family Speculative Prefill: Training-Free Long-Context Compression with Small Draft Models
Shubhangi Upasani, Guangtao Wang, Ravi Shanker Raju, Bo Li, Urmish Thakker, Mengmeng Ji, John Long, Chen Wu
- ICLR 2026 Workshop RSI ShortPaper
- Readers: Everyone
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun
- ICLR 2026 Workshop MemAgents Oral
- Readers: Everyone
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun
- LLA 2026 top5Oral
- Readers: Everyone
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun
- ICLR 2026 Workshop RSI Poster
- Readers: Everyone
Test-Time Adaptation via Many-Shot Prompting: Benefits, Limits, and Pitfalls
Shubhangi Upasani, Chen Wu, Jay Rainton, Changran Hu, Qizheng Zhang, Bo Li, Urmish Thakker
- ICLR 2026 Workshop RSI ShortPaper
- Readers: Everyone
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun
- ICLR 2026 Poster
- Readers: Everyone
R2Q: Residual Refinement Quantization for Robust 2-Bit Large Language Models
Jiayi Chen, Jieqi Shi, Jing Huo, Chen Wu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference
Guangtao Wang, Shubhangi Upasani, Chen Wu, Darshan Gandhi, Jonathan Lingjie Li, Changran Hu, Bo Li, Urmish Thakker
- SLLM
- Readers: Everyone
VLMAE: Vision-Language Masked Autoencoder
Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Chen Wu, Xiujun Shu, Bo Ren
- 2022 (modified: 27 Oct 2022)
- CoRR 2022
- Readers: Everyone
Exploiting Feature Diversity for Make-up Temporal Video Grounding
Xiujun Shu, Wei Wen, Taian Guo, Sunan He, Chen Wu, Ruizhi Qiao
- 2022 (modified: 27 Oct 2022)
- CoRR 2022
- Readers: Everyone

View all 42 publications

Co-Authors

View all 68 co-authors