Obserwuj
Juntao Tan
Juntao Tan
Research Scientist, Salesforce
Zweryfikowany adres z salesforce.com
Tytuł
Cytowane przez
Cytowane przez
Rok
Openagi: When llm meets domain experts
Y Ge, W Hua, K Mei, J Tan, S Xu, Z Li, Y Zhang
Advances in Neural Information Processing Systems 36, 2024
1982024
Counterfactual Explainable Recommendation
J Tan, S Xu, Y Ge, Y Li, Y Zhang
The 30th ACM International Conference on Information and Knowledge …, 2021
1662021
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
1172022
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
862022
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
802022
A survey on trustworthy recommender systems
Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang
ACM Transactions on Recommender Systems, 2022
762022
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
692022
VIP5: Towards Multimodal Foundation Models for Recommendation
S Geng, J Tan, S Liu, Z Fu, Y Zhang
arXiv preprint arXiv:2305.14302, 2023
662023
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
492023
Deconfounded causal collaborative filtering
S Xu, J Tan, S Heinecke, VJ Li, Y Zhang
ACM Transactions on Recommender Systems, 2021
492021
Genrec: Large language model for generative recommendation
J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang
European Conference on Information Retrieval, 494-502, 2024
432024
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
L Xue, M Shu, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ...
arXiv preprint arXiv:2408.08872, 2024
222024
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
Z Liu, W Yao, J Zhang, L Yang, Z Liu, J Tan, PK Choubey, T Lan, J Wu, ...
arXiv preprint arXiv:2402.15538, 2024
222024
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
222022
Towards llm-recsys alignment with textual id learning
J Tan, S Xu, W Hua, Y Ge, Z Li, Y Zhang
arXiv preprint arXiv:2403.19021, 2024
21*2024
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
192019
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
J Zhang, T Lan, R Murthy, Z Liu, W Yao, J Tan, T Hoang, L Yang, Y Feng, ...
arXiv preprint arXiv:2402.15506, 2024
172024
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
172022
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
162023
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
152023
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