I’m currently a Senior Applied Scientist in AWS Shanghai AI Lab. I worked for AWS in Palo Alto from Feb. 2018, and moved to Shanghai since Sep. 2019. I got my Master’s degree in Computing Science from Simon Fraser University in 2016, under the supervision of Prof. Martin Ester. My research interests are mainly on computer vision and machine learning.

News

• Sep 2024: We have 4 papers, RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation(paper, repo), Unified Lexical Representation for Interpretable Visual-Language Alignment(paper), Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation(paper), and One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos(paper), accepted by NeurIPS 2024!

• Jun 2024: Our paper, New Desiderata for Direct Preference Optimization(paper) is accepted by ICML 2024 Workshop on Models of Human Feedback for AI Alignment!

• May 2024: Our paper, CaMML: Context-Aware Multimodal Learner for Large Model(paper) is accepted by ACL 2024 Main Conference as an Oral, and has won Area Chair Awards!

• Apr 2024: Our paper, Hallucination of Multimodal Large Language Models: A Survey([paper, repo) is released on Arxiv!

• Feb 2024: Our papers, Adaptive Slot Attention: Object Discovery with Dynamic Slot Number(paper) and Learning for Transductive Threshold Calibration in Open-World Recognition(paper) are accepted by CVPR 2024!

• Jan 2024: Our papers, Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model(paper) and Consistent Video-to-Video Transfer Using Synthetic Dataset(paper), are accepted by ICLR 2024! Besides, our paper BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization(paper) is accepted by AISTATS 2024!

Publications

Please refer to Publications.

Open Source Projects

I’m a committer in the following open source projects:

• Deep Graph Library / GluonCV / Apache MXNet / XGBoost

I maintained/created the following R package on CRAN:

• xgboost / SwarmSVM / rLTP / pullword

Work Experience

• Senior Applied Scientist, Amazon Web Services, 2018 - Present
• Embedded Software Developer, Fortinet, 2016 - 2017

Education

• M.S. in Computer Science, School of Computing Science, Simon Fraser University, 2016
• B.S. in Statistics, Department of Mathematics and Computer Science, Sun Yat-Sen University, 2013

Selected Awards

• John M. Chambers Statistical Software Award, ASA, 2016
• Special High Energy Physics meets Machine Learning Award, CERN, 2014

Trivia

• There are at least two other researchers named “Tong He” [1], [2], although possibly in different Chinese characters, in the domain of Computer Vision. Please check their profiles if you got confused because some automated systems mistakenly assigned their works to my profile.