Juntao Tan
Juntao Tan
Research Scientist, Salesforce
Vahvistettu sähköpostiosoite verkkotunnuksessa
Counterfactual Explainable Recommendation
J Tan, S Xu, Y Ge, Y Li, Y Zhang
The 30th ACM International Conference on Information and Knowledge …, 2021
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
J Tan, S Geng, Z Fu, Y Ge, S Xu, Y Li, Y Zhang
The Web Conference 2022 (WWW 2022), 2022
Fairness in Recommendation: A Survey
Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang
arXiv preprint arXiv:2205.13619, 2022
OpenAGI: When LLM Meets Domain Experts
Y Ge, W Hua, J Ji, J Tan, S Xu, Y Zhang
arXiv preprint arXiv:2304.04370, 2023
Explainable fairness in recommendation
Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation
S Geng, Z Fu, J Tan, Y Ge, G De Melo, Y Zhang
Proceedings of the ACM Web Conference 2022, 946-955, 2022
A survey on trustworthy recommender systems
Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang
arXiv preprint arXiv:2207.12515, 2022
Deconfounded causal collaborative filtering
S Xu, J Tan, S Heinecke, VJ Li, Y Zhang
ACM Transactions on Recommender Systems, 2021
VIP5: Towards Multimodal Foundation Models for Recommendation
S Geng, J Tan, S Liu, Z Fu, Y Zhang
arXiv preprint arXiv:2305.14302, 2023
Fairness in Recommendation: Foundations, Methods, and Applications
Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang
ACM Transactions on Intelligent Systems and Technology 14 (5), 1-48, 2023
Belief-space planning using learned models with application to underactuated hands
A Kimmel, A Sintov, J Tan, B Wen, A Boularias, KE Bekris
The International Symposium of Robotics Research, 642-659, 2019
Dynamic Causal Collaborative Filtering
S Xu, J Tan, Z Fu, J Ji, S Heinecke, Y Zhang
Proceedings of the 31st ACM International Conference on Information …, 2022
Causal factorization machine for robust recommendation
Y Li, H Chen, J Tan, Y Zhang
Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, 1-9, 2022
Counterfactual Evaluation for Explainable AI
Y Ge, S Liu, Z Li, S Xu, S Geng, Y Li, J Tan, F Sun, Y Zhang
arXiv preprint arXiv:2109.01962, 2021
Causal Inference for Recommendation: Foundations, Methods and Applications
S Xu, J Ji, Y Li, Y Ge, J Tan, Y Zhang
arXiv preprint arXiv:2301.04016, 2023
Counterfactual Collaborative Reasoning
J Ji, Z Li, S Xu, M Xiong, J Tan, Y Ge, H Wang, Y Zhang
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
GenRec: Large Language Model for Generative Recommendation
J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang
arXiv e-prints, arXiv: 2307.00457, 2023
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI
J Tan, Y Zhang
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
J Tan, S Heinecke, Z Liu, Y Chen, Y Zhang, H Wang
arXiv preprint arXiv:2304.05492, 2023
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability
Z Xu, H Zeng, J Tan, Z Fu, Y Zhang, Q Ai
ACM Transactions on Information Systems, 2023
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Artikkelit 1–20