Hongkai Wen
Scholar

Hongkai Wen

Google Scholar ID: SSbjWKAAAAAJ
University of Warwick
Machine LearningML/AI SystemsCyber-Physical Systems
Citations & Impact
All-time
Citations
4,094
 
H-index
27
 
i10-index
49
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers in top conferences and journals such as NeurIPS, IJCAI, ICML, IJCV, ICLR, IEEE TVCG, IEEE T-PAMI, IEEE TMC, SenSys, CIKM, CVPR, IEEE T-ITS, AAAI, AutoML Conf, ACM TOSN, and IEEE TPAMI. Topics include efficient distillation, sign language translation, brain parcellations, road network generation, dynamic graph modeling, controlled text-to-image generation, attention reuse, differentiable pruning, eye tracking, on-face gesture recognition, opportunistic inference, trajectory recovery, hierarchical generative NAS, graph-based sign language processing, rotational speed estimation, fleet management, efficient NAS, macro NAS benchmarks (BLOX), zero-cost NAS, spatial data synthesis, deployment optimization for EV charging infrastructure, blind video super-resolution, zero-cost differentiable NAS, vibration-based communication between IoT devices, representation learning for event streams, NAS for tiny perceptual super-resolution, and semantic-instance segmentation for point clouds. Notable achievements include Best Paper Runner-up Award for AdaFlow at SenSys 2024 and Best Paper Award for T-CET at AutoML Conf 2023.
Research Experience
  • Previously a Senior Research Scientist at Samsung AI Centre Cambridge, where his team worked on Automated Machine Learning (AutoML) for On-device Intelligence.
Education
  • Postdoctoral research with the Cyber-Physical Systems Group in the Department of Computer Science (formerly known as the Computing Laboratory, or Comlab), University of Oxford. Studied Computer Science at Keble College, Oxford.
Background
  • Full Professor at the Department of Computer Science, University of Warwick, and Head of the AI/ML Systems (AMS) Division. Fellow of the Alan Turing Institute, serving as an Independent Scientific Advisor for the BridgeAI programme and a member of the Turing Research Ethics (TREx) team.
Miscellany
  • Multiple openings for PhD/internship positions for 2026 entry, with scholarships available from various sources at Warwick.
Co-authors
0 total
Co-authors: 0 (list not available)