Zhenglun Kong
Scholar

Zhenglun Kong

Google Scholar ID: XYa4NVYAAAAJ
Harvard University
Efficient Deep LearningLarge Language ModelAI4Science
Citations & Impact
All-time
Citations
1,300
 
H-index
18
 
i10-index
22
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Published papers in top-tier conferences and journals such as IJCV, SCI-FM@ICLR'25, ICLR'25, AAAI'25, ICASSP'25, TCAD, WACV'25, NeurIPS'24, EMNLP'24, and AAAI'24; Selected as the 2024 Machine Learning and Systems Rising Stars.
Research Experience
  • Postdoctoral Researcher at Harvard University (August 2024 - present), mentors: Marinka Zitnik, Manolis Kellis; Research Intern at Microsoft (June 2022 - August 2022), mentor: Subhabrata Mukherjee; Research Intern at ARM (June 2021 - August 2021), mentors: Lingchuan Meng, Danny Loh; Research Intern at Samsung Research America (October 2021 - December 2021), mentors: Avik Ray, Yilin Shen, Hongxia Jin.
Education
  • Ph.D. from Northeastern University, supervised by Prof. Yanzhi Wang; M.S. from Northeastern University; B.E. from Huazhong University of Science and Technology (HUST), China.
Background
  • Currently a postdoctoral researcher at Harvard, focusing on developing efficient deep learning methods applicable to real-world scenarios, including computer vision and natural language processing. Dedicated to achieving the general and practical implementation of AI.
Miscellany
  • Personal interests and hobbies not mentioned.