NEWS My collaborative work with (former) IBM colleagues on Merging Models Pre-Trained on Different Features with Consensus Graph (aka Model Fusion for Vertical Federated Learning) has recently been accepted for publication in UAI-23.
NEWS My collaborative work with (former) Amazon intern Ziwei Fan on Personalized Federated Domain Adaptation for Item-to-Item Recommendation has also been accepted for publication in UAI-23.
[NEWS] I am recruiting two PhD students in the area of probabilistic distributed learning. Please drop me an e-mail if you are interested.
NEWS A paper on Adversarial Attack and Defense Mechanisms for Multivariate Time-Series Forecasting has been accepted for publication in ICLR-23
NEWS A paper on Adaptive Multi-Source Causal Inference has been accepted for publication in CIKM-22
NEWS A paper on Bayesian Federated Estimation of Causal Effects has been accepted for publication in UAI-22
NEWS A paper on Learning Personalized Item-to-Item Recommendation Metric has been accepted for publication in AISTATS-22
I am currently a tenure-track Assistant Professor at the School of Electrical Engineering and Computer Science, Washington State University.
Prior to my current appointment, I was a Senior Research Scientist at the AWS AI Labs, Amazon (2020-2022) in Santa Clara, CA.
Before Amazon, I was a Research Staff Member of the MIT-IBM Watson AI Lab, IBM Research in Cambridge, MA (2018-2020).
Before IBM, I was a Postdoctoral Research Associate at the Laboratory for Information and Decision Systems (LIDS), MIT (2017-2018).
Prior to MIT, I was a Research Fellow at National University of Singapore (2015-2017) where I earned my PhD degree in Machine Learning (2010-2015).
My PhD adviser is Associate Professor Kian Hsiang Low.