[Research paper] formalizing interruptible algorithms for human over-the-loop analytics. - Austin Graham; Yan Liang 004; Le Gruenwald; Christan Grant (IEEE BigData, 2017)

Adaptive scalable pipelines for political event data generation. - Andrew Halterman; Jill Irvine; Manar Landis; Phanindra Jalla; Yan Liang 004; Christan Grant; Mohiuddin Solaimani (IEEE BigData, 2017)

Formalizing Interruptible Algorithms for Human over-the-loop Analytics. - Austin Graham; Yan Liang 004; Le Gruenwald; Christan Grant (CoRR, 2017)

New Techniques for Coding Political Events across Languages. - Yan Liang 004; Khaled Jabr; Christan Grant; Jill Irvine; Andrew Halterman (IRI, 2018)

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. - Xin Luna Dong; Xiang He 007; Andrey Kan; Xian Li; Yan Liang 004; Jun Ma 029; Yifan Ethan Xu; Chenwei Zhang; Tong Zhao 002; Gabriel Blanco Saldana; Saurabh Deshpande; Alexandre Michetti Manduca; et al. (KDD, 2020)

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. - Jun Yan 012; Nasser Zalmout; Yan Liang 004; Christan Grant; Xiang Ren 001; Xin Luna Dong (ACL/IJCNLP (1), 2021)

PAM: Understanding Product Images in Cross Product Category Attribute Extraction. - Rongmei Lin; Xiang He 007; Jie Feng; Nasser Zalmout; Yan Liang 004; Li Xiong 001; Xin Luna Dong (KDD, 2021)

All You Need to Know to Build a Product Knowledge Graph. - Nasser Zalmout; Chenwei Zhang; Xian Li; Yan Liang 004; Xin Luna Dong (KDD, 2021)

TAED: Topic-Aware Event Detection. - Yan Liang 004; Christan Grant (IEEE Big Data, 2022)

Ask-and-Verify: Span Candidate Generation and Verification for Attribute Value Extraction. - Yifan Ding; Yan Liang 004; Nasser Zalmout; Xian Li; Christan Grant; Tim Weninger (EMNLP (Industry Track), 2022)

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. - Zijie Huang 002; Daheng Wang; Binxuan Huang; Chenwei Zhang; Jingbo Shang; Yan Liang 004; Zhengyang Wang; Xian Li; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (ACL (Findings), 2023)

Explainable and Coherent Complement Recommendation Based on Large Language Models. - Zelong Li; Yan Liang 004; Ming Wang; Sungro Yoon; Jiaying Shi; Xin Shen; Xiang He 007; Chenwei Zhang; Wenyi Wu; Hanbo Wang; Jin Li 003; Jim Chan; et al. (CIKM, 2024)