iDEA-iSAIL Research Group

Media Coverage

Our NeurIPS Spotlight paper "Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning" has been featured in AI Era. Dec 24th, 2025.
Rubin, Xiyuan, Ruizhong, Gaotang and Katherine's work "Latent Collaboration in Multi-Agent Systems" is ranked #1 papers of the day on HuggingFace. Nov 27th, 2025.
Our survey "Flow Matching Meets Biology and Life Science: A Survey" has been featured in Biology AI Daily. July 24th, 2025.
Tianxin interviewed by MIT Tech Review. Jan 20th, 2026.

Teaching

CS 412: Introduction to Data Mining. Spring 2023, Spring 2022, Fall 2020, Fall 2019.
CS 512: Data Mining Principles. Spring 2024, Fall 2022, Spring 2021.
CS 514: Advanced Topics in Network Science. Fall 2024, Fall 2023.
CS 598: Special Topics, Network Mining. Spring 2020.
IS 407: Introduction to Data Science. Fall 2020.
IS 577: Data Mining. Fall 2024, Fall 2023, Fall 2022, Fall 2021, Spring 2021.
IS 590: Advanced Problems in Information Sciences. Spring 2020, Fall 2019.

Talks

Tutorials & Workshops

CIKM 2025 Tutorial

Continual Recommender Systems

KDD 2024 Tutorial

Heterogeneous Contrastive Learning for Foundation Models and Beyond

WWW 2024 Tutorial

Neural Contextual Bandits for Personalized Recommendation

WWW 2024 Tutorial

New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends

WWW 2024

TrustLoG: The 2nd Workshop on Trustworthy Learning on Graphs

IJCAI 2023

Learning from Non-IID Data: Centralized vs. Federated Learning

KDD 2023

Knowledge Graph Reasoning and Its Applications

KDD 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023)

KDD 2023

Trustworthy Transfer Learning: Transferability and Trustworthiness

WSDM 2023

Natural and Artificial Dynamics in GNNs: A Tutorial

KDD 2022

Algorithmic Fairness on Graphs: Methods and Trends