Welcome to my personal page!

NEWS I recently published an AI Magazine article on Effective Knowledge Representation and Utilization for Sustainable Collaborative Learning across Heterogeneous Systems.

NEWS A paper on Probabilistic Federated Prompt-Tuning has been accepted for publication in NeurIPS-24. This is led by my 3rd year PhD student Pei-Yau Weng. Congrats Pei-Yau!

NEWS A paper on Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques has been accepted for publication in NeurIPS-24. This is (again) led by my undergraduate mentee Cuong Dao. Congrats Cuong!

NEWS A paper on Boosting Offline Optimizers with Surrogate Sensitivity has been accepted for publication in ICML-24. This is led by my undergraduate mentee Cuong Dao. Congrats Cuong!

NEWS A paper on Revisting Kernel Attention with Correlated Gaussian Process Representation has been accepted for publication in UAI-24. This is led by my 1st year PhD student Long Bui. Congrats Long!

NEWS I have been invited to give a talk at AAAI-24 New Faculty Highlight Program.

NEWS I and my colleagues (Jana Doppa, Yan Yan, Ganapati Bhat, Taha Belkhouja) have given a tutorial on Advances in Robust Time-Series ML at AAAI-24.

NEWS My collaborative work with Sara Magliacane (University of Amsterdam) and Douglas Lauffenburger (MIT) on Translating Omics Signatures without Orthologue Requirements using Deep Learning has recently been accepted to Nature Partner Journals: Systems Biology and Applications

NEWS A paper on Few-Shot Learning via Repurposing Ensemble of Black-Box Models has been accepted for publication in AAAI-24.

NEWS A paper on Offline Model-based Optimization via Policy-Guided Gradient Search has been accepted for publication in AAAI-24.

NEWS A paper on Pre-Trained Recommender Systems: A Causal Debiasing Perspective has been accepted for publication in WSDM-24.

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.