Newsall →
Oct 2026Named to the World's Top 2% Scientists list (Stanford/Elsevier) for the third year.
Sep 2026Five papers accepted at NeurIPS 2026: Phase-wise tuning, MESCoder and RSU (multi-framework UI-to-code generation and repair), AnchorGen (diffusion language planning for chest X-ray reports), and Harbor (agentic evaluation infrastructure, Evaluations and Datasets Track).
Sep 2026Serving as Area Chair for the EACL 2026 Industry Track.
Aug 2026H-FedSN is accepted at NPJ Artificial Intelligence.
Aug 2026EGT-KG is accepted to EMNLP 2026 Industry Track.
May 2026Received the Google HE Faculty AI Fellowship.
May 2026DCM and MulFCoder, our multi-framework UI2Code papers, are accepted to ICML 2026.
May 2026Three papers accepted in the ACL 2026 cycle: LLM-Guided Tsetlin (Findings), FROST and Are LLMs Economically Viable (Industry Track).
Apr 2026Distribution-aware Re-representations is accepted to SIGIR 2026.
Apr 2026Trustworthy Agent Network is accepted to the KDD 2026 Blue Sky Track.
Jan 2026GRO-RAG is accepted to ICLR 2026.
Jan 2026Our culturally aware harmful meme detection paper is accepted to WWW 2026.

Service & Teaching

Organizing

2026, 2025Track Chair, IEEE International Conference on Data Science
2026Multidisciplinary Track Co-Chair, ASONAM
2023 – 2025Organizer, FinRL Contest at ACM ICAIF
2024Organizer, UbiComp/ISWC Workshop on Design with Autistic Children
2022Organizer, SecureComm Workshop on Security and Privacy for IoT

Area Chair

ICASSP2026, 2025
IJCNN2026, 2025
EACL Industry Track2026

Senior Program Committee

IJCAI2025
AAAI Artificial Intelligence for Social Impact2025

Program committee

NeurIPS2026, 2025, 2024, 2023, 2022
ICML2026, 2025
ICLR2026, 2025
AAAI2026, 2025, 2024
KDD2026, 2025, 2024, 2023
CVPR2026, 2025
ICCV2025
ACM MM2026, 2025
SIGIR2026
EMNLP Industry Track2026
ACL Rolling Review2026
BMVC2026
SDM2024
MLHC2025
ML4H2024, 2023
UbiComp / IMWUT2025
ICCPS2025
DSNE2026, 2025, 2024, 2023
SecureComm2022
QTNML @ NeurIPS2022
DCAA @ AAAI2023
MILET @ SIGKDD2023
AI4TS @ IJCAI2023
AI4TS @ SDM2024
SenSys Workshop on IoT Datasets2024

Editorial and journal reviewing

Associate Editor, Social Network Analysis and Mining.

Reviewer for JMLR, IEEE TSMC, IEEE IoT-J, IEEE TITS, IEEE JBHI, IEEE TCC, ACM ToSN, ACM TOMM, ACM TALLIP, Journal of Industrial Information Integration, Expert Systems with Applications, Financial Innovation, Cluster Computing, Soft Computing, IEEE Sensors Journal, IEEE Access, JAIHC, Multimedia Tools and Applications, etc.

Talks

Apr 2026The Chinese University of Hong Kong, Shenzhen · Translational AI Systems: What Has to Be True Before Anyone Can Rely on What a Model Produces
Nov 2025EMNLP 2025 Industry Track, Suzhou · Truth, Trust, and Trouble: Medical AI on the Edge (Best Paper Nomination)
Oct 2025ACM Multimedia 2025, Dublin · Prototype-Guided Representation Projection for Multi-Domain Multi-Task Recommendation (Oral, top 4%)
May 2025Stanford University · Private and Accurate IoT Applications
May 2025ICCPS 2025, Irvine · Atlas: Ensuring Accuracy for Privacy-Preserving Federated IoT Applications
May 2024Rutgers Efficient AI Seminar · Federated Learning Enabled IoT Systems
Aug 2023ICPP 2023, Salt Lake City · PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management
Jun 2023CHIL 2023, New York · SRDA: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients (Oral)
Apr 2023Commonwealth Cyber Initiative Symposium · PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data
Feb 2023Beijing Institute of Technology · Towards Accurate and Private Cloud-IoT Applications
Feb 2023Jilin University · Towards Accurate and Private Cloud-IoT Applications
Feb 2023Beijing University of Technology · Towards Accurate and Private Cloud-IoT Applications
Aug 2022UVA Machine Learning Seminar · Federated Learning with Privacy
Feb 2022UVA Link Lab · Towards Accurate and Private IoT Applications
May 2020IPDPS 2020 (virtual) · Smartly Handling Renewable Energy Instability in Supporting a Cloud Datacenter
Aug 2018Frees Fund · How Neural Networks and Deep Learning Work in the Financial Industry

Teaching

Fall 2026Guest Lecture, Stanford CEE 226
Winter 2026Guest Lecture, Stanford CEE 221
Fall 2020Teaching Assistant, Computer Networks, University of Virginia
Spring 2020Teaching Assistant, Advanced Computer Networks, University of Virginia
Fall 2019Teaching Assistant, Principles of Modeling for Cyber-Physical Systems, University of Virginia
Fall 2017Teaching Assistant, Reinforcement Learning, Columbia University