Houwen Peng
Scholar

Houwen Peng

Google Scholar ID: UYlhQS8AAAAJ
Microsoft Research
Computer VisionMachine LearningEfficient Deep LearningLarge Language Models
Citations & Impact
All-time
Citations
12,475
 
H-index
34
 
i10-index
39
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Papers published in ICML'2025, ACL'2025, EMNLP'2024, NeurIPS'2023, ICCV2023, CVPR2023, NeurIPS'2022, ECCV2022, TPAMI, ACM Multimedia 2022, TPAMI, ICCV 2021, ArXiv, CVPR 2021, etc.; Projects released: R-4B, R-BenchV, Take-along VoT, ScalingFilter, Xwin-LM, FP8-LM, TinyCLIP, EfficientViT, SeqTrack, PointNeXt, X-CLIP, AutoFormerV2, TinyViT, MiniViT, CDARTS, STARK, iRPE, EnsembleNAS, LightTrack, CreamNAS, etc.
Research Experience
  • Current position: Researcher at Microsoft Research Asia; Former position: Senior Engineer at Qualcomm AI Research; His research work has been integrated into various Microsoft products, including Azure, Office, Bing, Visual Studio, etc.
Education
  • Ph.D. from the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, graduated in 2016; Visiting Research Scholar at Temple University, 2015-2016
Background
  • Research Interests: AI foundation and efficient multi-modality intelligence. Biography: A researcher at Microsoft Research Asia since 2018, previously a senior engineer at Qualcomm AI Research.
Miscellany
  • Contact: houwen.peng@microsoft.com or penghouwen@icloud.com (preferred); Address: 13423 Building 2, Microsoft, No. 5 Danling St., Haidian, Beijing 100080
Co-authors
0 total
Co-authors: 0 (list not available)