JRBridge: A Framework of Large-Scale Statistical Computing for R. - Xia Xie; Jie Cao 010; Hai Jin 001; Xijiang Ke; Wenzhi Cao (APSCC, 2012)

A distributed SVM method based on the iterative MapReduce. - Xijiang Ke; Hai Jin 001; Xia Xie; Jie Cao 010 (ICSC, 2015)

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. - Jie Cao 010; Michael Tanana; Zac E. Imel; Eric Poitras; David C. Atkins; Vivek Srikumar (ACL (1), 2019)

Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation. - Zhiqiang Liu; Zuohui Fu; Jie Cao 010; Gerard de Melo; Yik-Cheung Tam; Cheng Niu; Jie Zhou 016 (ACL (1), 2019)

Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring. - Jie Cao 010; Yi Zhang; Adel Youssef; Vivek Srikumar (CoNLL Shared Task, 2019)

A Comparative Study on Schema-Guided Dialogue State Tracking. - Jie Cao 010; Yi Zhang (NAACL-HLT, 2021)

Database Workload Characterization with Query Plan Encoders. - Debjyoti Paul; Jie Cao 010; Feifei Li 001; Vivek Srikumar (Proc. VLDB Endow., 2021)

"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches. - Zhimin Li; Shusen Liu 001; Xin Yu; Bhavya Kailkhura; Jie Cao 010; James Daniel Diffenderfer; Peer-Timo Bremer; Valerio Pascucci (CoRR, 2022)

Mind the Gap between the Application Track and the Real World. - Ananya Ganesh; Jie Cao 010; E. Margaret Perkoff; Rosy Southwell; Martha Palmer; Katharina Kann (ACL (2), 2023)

Comparing Neural Question Generation Architectures for Reading Comprehension. - E. Margaret Perkoff; Abhidip Bhattacharyya; Jon Z. Cai; Jie Cao 010 (BEA@ACL, 2023)

A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse. - Jie Cao 010; Ananya Ganesh; Jon Z. Cai; Rosy Southwell; E. Margaret Perkoff; Michael Regan; Katharina Kann; James H. Martin; Martha Palmer; Sidney D'Mello (UMAP, 2023)

Dependency Dialogue Acts - Annotation Scheme and Case Study. - Jon Z. Cai; Brendan King; Margaret Perkoff; Shiran Dudy; Jie Cao 010; Marie Grace; Natalia Wojarnik; Ananya Ganesh; James H. Martin; Martha Palmer; Marilyn A. Walker; Jeffrey Flanigan (CoRR, 2023)

Classifying Tutor Discursive Moves at Scale in Mathematics Classrooms with Large Language Models. - Baptiste Moreau-Pernet; Yu Tian; Sandra Sawaya; Peter W. Foltz; Jie Cao 010; Brent Milne; Thomas Christie (L@S, 2024)

Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom Teaching Discourse. - Jie Cao 010; Abhijit Suresh; Jennifer Jacobs 002; Charis Clevenger; Amanda Howard; Chelsea Brown; Brent Milne; Tom Fischaber; Tamara Sumner; James H. Martin (COLING, 2025)

MatterChat: A Multi-Modal LLM for Material Science. - Yingheng Tang; Wenbin Xu; Jie Cao 010; Jianzhu Ma; Weilu Gao; Steve Farrell; N. Benjamin Erichson; Michael W. Mahoney; Andy Nonaka; Zhi Yao (CoRR, 2025)

Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue. - Jannatun Naim; Jie Cao 010; Fareen Tasneem; Jennifer Jacobs 002; Brent Milne; James H. Martin; Tamara Sumner (CoRR, 2025)

"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches. - Zhimin Li; Shusen Liu 001; Xin Yu; Bhavya Kailkhura; Jie Cao 010; James Daniel Diffenderfer; Peer-Timo Bremer; Valerio Pascucci (IEEE Trans. Vis. Comput. Graph., 2025)