Jan 2025: I'll be a TA for "Foundations of Data Analysis" - course instructor Professor Miaomiao Zhang.
Jan 2025: Arxiv paper "Scalable Cosmic AI Inference using Cloud Serverless Computing with FMI" - This introduces a new infrastructure for serverless computing using astronomy images and a foundation model called AstroMAE.
Dec 2024: "WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models" paper accepted at AAAI'25 WORKSHOP: AI FOR TIME SERIES ANALYSIS (AI4TS) [Code].
Nov 2024: "Large Language Models for Financial Aid in Financial Time-series Forecasting", Published in The IEEE BigData 2024 International Workshop on Large Language Models for Finance. [Code]
Aug 2024: I'll be a Teaching Assistant for the CS 6501 - Wireless Sensing for Internet of Things course in Fall 2024, with course instructor Professor Kun Qian.
Nov 2023: Our paper "Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections" has been accepted in the AAAI-2024 workshop AI for TimeSeries (AI4TS).
Nov 2023: I'll be a Teaching Assistant for the DS 5110 - Big Data Systems course in Spring 2024—course instructor Professor Judy Fox.
9 Nov 2023: Passed my Ph.D. Qualifier exam.
Oct 2023: My thesis proposal titled "Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models" has been accepted at AAAI-2024 Ph.D. Consortium.
21 July 2023: Gave my Ph.D. Qualifier proposal interview.
7 July 2023: Our paper "Interpreting County‑Level COVID‑19 Infections using Transformer and Deep Learning Time Series Models" won 3rd prize at the student research competition of the International Conference on Digital Health, 2023.
May 2023: Our paper "Interpreting County‑Level COVID‑19 Infections using Transformer and Deep Learning Time Series Models" has been accepted at the International Conference on Digital Health, 2023.
March 2023: Our paper "MVAM: Multi-variant Attacks on Memory for IoT Trust Computing" has been accepted at the ACM Workshop on the Internet of Safe Things (SafeThings 2023).
Jan 2023: Our poster "Does Differential Privacy Impact Bias in Pretrained NLP Models?" has been accepted at the AAAI-2023 workshop on Privacy‑Preserving Artificial Intelligence (PPAI-2023).