Yan Liang

16 papers A* 3A 1B 1Misc 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A conf
Explainable and Coherent Complement Recommendation Based on Large Language Models.
CIKM
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
2023 — conf
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
ACL (Findings)
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2023 J jnl
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs.
CoRR
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
2022 — conf
Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction.
EMNLP (Industry Track)
Yifan Ding, Yan Liang, Nasser Zalmout, Xian Li, Christan Grant, Tim Weninger
2022 B conf
TAED: Topic-Aware Event Detection.
IEEE Big Data
Yan Liang, Christan Grant
2021 — conf
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding.
ACL/IJCNLP (1)
Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong
2021 J jnl
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding.
CoRR
Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong
2021 A* conf
All You Need to Know to Build a Product Knowledge Graph.
KDD
Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong
2021 A* conf
PAM: Understanding Product Images in Cross Product Category Attribute Extraction.
KDD
Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong
2021 J jnl
PAM: Understanding Product Images in Cross Product Category Attribute Extraction.
CoRR
Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong
2020 A* conf
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
KDD
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
2020 J jnl
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
CoRR
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
2018 Misc conf
New Techniques for Coding Political Events across Languages.
IRI
Yan Liang, Khaled Jabr, Christan Grant, Jill Irvine, Andrew Halterman
2017 — conf
Adaptive scalable pipelines for political event data generation.
IEEE BigData
Andrew Halterman, Jill Irvine, Manar Landis, Phanindra Jalla, Yan Liang, Christan Grant, Mohiuddin Solaimani
2017 J jnl
Formalizing Interruptible Algorithms for Human over-the-loop Analytics.
CoRR
Austin Graham, Yan Liang, Le Gruenwald, Christan Grant
2017 — conf
[Research paper] formalizing interruptible algorithms for human over-the-loop analytics.
IEEE BigData
Austin Graham, Yan Liang, Le Gruenwald, Christan Grant