Yan Liang

According to our database, Yan Liang authored at least 12 papers between 2017 and 2024.

Collaborative distances:

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

2024

Explainable and Coherent Complement Recommendation Based on Large Language Models.

Zelong Li, Yan Liang, Ming Wang, Sungro Yoon, Jiaying Shi, Xin Shen, Xiang He, Chenwei Zhang, Wenyi Wu, Hanbo Wang, Jin Li, Jim Chan, Yongfeng Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.

Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction.

Yifan Ding, Yan Liang, Nasser Zalmout, Xian Li, Christan Grant, Tim Weninger

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

TAED: Topic-Aware Event Detection.

Yan Liang, Christan Grant

Proceedings of the IEEE International Conference on Big Data, 2022

2021

All You Need to Know to Build a Product Knowledge Graph.

Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

PAM: Understanding Product Images in Cross Product Category Attribute Extraction.

Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding.

Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.

Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2018

New Techniques for Coding Political Events across Languages.

Yan Liang, Khaled Jabr, Christan Grant, Jill Irvine, Andrew Halterman

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

2017

Formalizing Interruptible Algorithms for Human over-the-loop Analytics.

Austin Graham, Yan Liang, Le Gruenwald, Christan Grant

CoRR, 2017

Adaptive scalable pipelines for political event data generation.

Andrew Halterman, Jill Irvine, Manar Landis, Phanindra Jalla, Yan Liang, Christan Grant, Mohiuddin Solaimani

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

[Research paper] formalizing interruptible algorithms for human over-the-loop analytics.

Austin Graham, Yan Liang, Le Gruenwald, Christan Grant

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017