Jia Li

According to our database, Jia Li authored at least 13 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Generating Negative Samples for Sequential Recommendation.

Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong

CoRR, 2022

MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation.

Wenzhuo Yang, Jia Li, Caiming Xiong, Steven C. H. Hoi

CoRR, 2022

Improving Contrastive Learning with Model Augmentation.

Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong

CoRR, 2022

Intent Contrastive Learning for Sequential Recommendation.

Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems.

Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

ELECRec: Training Sequential Recommenders as Discriminators.

Yongjun Chen, Jia Li, Caiming Xiong

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ConTinTin: Continual Learning from Task Instructions.

Wenpeng Yin, Jia Li, Caiming Xiong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution.

Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong

CoRR, 2021

Modeling Dynamic Attributes for Next Basket Recommendation.

Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong

CoRR, 2021

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation.

Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong

CoRR, 2021

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers.

Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong

Proceedings of the 9th International Conference on Learning Representations, 2021

On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation.

Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.

Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong

CoRR, 2020