news

May 18, 2024 I’m excited to announce that I’ve graduated from Emory University with my PhD and have joined Meta Monetization GenAI as a Research Scientist! I want to express my heartfelt gratitude to my advisors, Prof. Carl Yang and Prof. Ying Guo, for their exceptional guidance and support throughout my doctoral journey.
Sep 21, 2023 Our work entitled Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting accepted to NeurIPS 2023. Congrats to Hejie!
Aug 25, 2023 One paper entitled Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis has been accepted for IEEE BHI 2023. Very appreciate the travel awrad from the conference. See you in Pittsburgh!
Jun 10, 2023 Ending my Google Intership and will start my next journey at Meta in Seattle, WA. See you soon, Seattle!
May 17, 2023 Our work entitled R-Mixup: Riemannian Mixup for Biological Networks accepted to KDD 2023. The arxiv version can be found here!
Mar 30, 2023 Two paper accepted to ISBI 2023. Congrats to my collaborators!
Nov 19, 2022 Our work entitled Neighborhood-Regularized Self-Training for Label-Efficient Learning accepted to AAAI 2023. Congrats to Ran and Yue!
Oct 21, 2022 Our benchmark paper “BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks” has been accepted to IEEE TMI (Journal’s impact factor: 10.048).
Oct 17, 2022 Start my part-time researcher internship on Google Federated Assistant Team mentored by Yonghui (Yohu) Xiao and Tien-Ju Yang!
Sep 14, 2022 One paper entitled Brain Network Transformer has been accepted for NeurIPS 2022. The paper and code are available here.
Jun 02, 2022 Our work on cross-data brain networks got accepted to KDD Health Day.
May 30, 2022 Our paper on GNNs with functional brain network generation has been selected for an oral presentation at MIDL 2022.
May 16, 2022 Start my internship on Meta Ads Core ML team mentored by Shupeng Gui!
Apr 30, 2022 We will be organizing the 1st International Workshop on Neural Network Models for Brain Connectome Analysis (BrainNN2022), at IEEE BigData 2022, in December 2022. Various types of submissions are welcomed!
Apr 03, 2022 One paper entitled FBNetGen: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation has been accepted for Medical Imaging with Deep Learning 2022.
Jun 19, 2021 Our paper entitled Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration has been accepted for presentation in the Research Track of ECML-PKDD 2021.