| CARVIEW |
I am a PhD candidate at the Computer Science Department at Rutgers University. I am fortunate to be advised by Prof. Yongfeng Zhang.
My research mainly focuses on Machine Learning, Explainable AI, and Recommender Systems. Explore my website for more details about my work. I’m currently looking into how Large Language Models (LLMs) can be used in recommendation scenarios.
Interests
- Information Retrieval and Recommender Systems
- Explainable AI
- Causal Inference
- AI for Science
- Machine Learning
Education
PhD in Computer Science, 2019 - present
Rutgers University
MS in Computer Science, 2017 - 2019
Rutgers University
BEng in Software Engineering, 2012 - 2016
Huazhong University of Science and Technology
Publications
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. ECAI2023.
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. KDD2023.
OpenAGI: When LLM Meets Domain Experts.
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.
Dynamic Causal Collaborative Filtering. CIKM2022.
Explainable Fairness in Recommendation. SIGIR2022.
Causal factorization machine for robust recommendation. JCDL2022.
Counterfactual Collaborative Reasoning. WSDM2023.
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. WWW2022.
Counterfactual Explainable Recommendation. CIKM2021.
A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs. ICRA2021.
Contact
- juntao.tan@rutgers.edu
- Computer Science Department, Rutgers University, 96 Frelinghuysen Rd, Piscataway, NJ 08854