| 2026 | ACL | A Computational Method for Measuring Open Codes in Qualitative Analysis. | John Chen, Alexandros Nikolaos Lotsos, Sihan Cheng, Lexie Zhao, Yanjia Zhang, Jessica Hullman, Bruce Sherin, Uri Wilensky, Michael S. Horn |
| 2025 | EMNLP | Chain-of-Interactions: Multi-step Iterative ICL Framework for Abstractive Task-Oriented Dialogue Summarization of Conversational AI Interactions. | Jason S. Lucas, Ali Al-Lawati, Mahjabin Nahar, John Chen, Mahnoosh Mehrabani |
| 2025 | GECCO | LEAR: LLM-Driven Evolution of Agent-Based Rules. | Can Gurkan, Narasimha Karthik Jwalapuram, Kevin Wang, Rudy Danda, Leif Rasmussen, John Chen, Uri Wilensky |
| 2024 | CHI | Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat. | John Chen, Xi Lu, Yuzhou Du, Michael Rejtig, Ruth Bagley, Mike S. Horn, Uri Wilensky |
| 2024 | CHI | "Oh My God! It's Recreating Our Room!" Understanding Children's Experiences with A Room-Scale Augmented Reality Authoring Toolkit. | John Chen, Lexie Zhao, Yinmiao Li, Zhennian Xie, Uri Wilensky, Mike S. Horn |
| 2024 | ISIT | Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. | John Chen, Chen Dun, Anastasios Kyrillidis |
| 2023 | CPP | P4Cub: A Little Language for Big Routers. | Rudy Peterson, Eric Hayden Campbell, John Chen, Natalie Isak, Calvin Shyu, Ryan Doenges, Parisa Ataei, Nate Foster |
| 2022 | ICASSP | Demon: Improved Neural Network Training With Momentum Decay. | John Chen, Cameron R. Wolfe, Zhao Li, Anastasios Kyrillidis |
| 2022 | UAI | Stackmix: a complementary mix algorithm. | John Chen, Samarth Sinha, Anastasios Kyrillidis |
| 2021 | AAAI | Revisiting Consistent Hashing with Bounded Loads. | John Chen, Benjamin Coleman, Anshumali Shrivastava |
| 2021 | CIKM | Mitigating Deep Double Descent by Concatenating Inputs. | John Chen, Qihan Wang, Anastasios Kyrillidis |
| 2021 | Interspeech | Leveraging ASR N-Best in Deep Entity Retrieval. | Haoyu Wang, John Chen, Majid Laali, Kevin Durda, Jeff King, William Campbell, Yang Liu |
| 2020 | EMNLP | A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature. | Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Akinli Koak, Elham Dolatabadi |
| 2020 | ICML | Negative Sampling in Semi-Supervised learning. | John Chen, Vatsal Shah, Anastasios Kyrillidis |
| 2019 | FIE | Tracking learning engagement at the student level. | John Chen, David S. Janzen, Karen McGaughey, Jim Widmann |
| 2019 | FIE | Development of mobile applications to study engineering students' patterns of learning. | David S. Janzen, Ryan Chang, John Chen |
| 2019 | FIE | Exploring the Relationship Between Non-Cognitive and Affective (NCA) Factors and First-Year Retention of Undergraduates in Engineering. | Matthew Scheidt, Justin C. Major, Julianna Ge, Allison Godwin, John Chen, Brian Self, Jim Widmann, Edward J. Berger |
| 2019 | Interspeech | Neural Transition Systems for Modeling Hierarchical Semantic Representations. | Riyaz Ahmad Bhat, John Chen, Rashmi Prasad, Srinivas Bangalore |
| 2019 | NAACL | A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling. | Yue Chen, John Chen |
| 2018 | EAMT | Bootstrapping Multilingual Intent Models via Machine Translation for Dialog Automation. | Nicholas Ruiz, Srinivas Bangalore, John Chen |
| 2018 | FIE | Collaborative survey construction for national data collection: Coordination, negotiation, and delivery. | Edward J. Berger, Allison Godwin, Matthew Scheidt, John Chen, Ryan Senkpeil, Julianna Ge, James M. Widmann, Brian Self, Ann Q. Gates |
| 2018 | FIE | Do Great Minds Think Alike? : Racial/Ethnic and Gender Differences in Mindset of Undergraduate Engineering Students. | Julianna S. Ge, Edward J. Berger, John Chen, Brian Self |
| 2018 | FIE | SAT Does Not Spell Success: How Non-Cognitive Factors Can Explain Variance in the GPA of Undergraduate Engineering and Computer Science Students. | Matthew Scheidt, Ryan Senkpeil, John Chen, Allison Godwin, Edward J. Berger |
| 2017 | CSCW | IdeaWall: Improving Creative Collaboration through Combinatorial Visual Stimuli. | Yang Shi, Yang Wang, Ye Qi, John Chen, Xiaoyao Xu, Kwan-Liu Ma |
| 2017 | RANLP | Underspecification in Natural Language Understanding for Dialog Automation. | John Chen, Srinivas Bangalore |
| 2015 | FCCM | An Efficient KNN Algorithm Implemented on FPGA Based Heterogeneous Computing System Using OpenCL. | Yuliang Pu, Jun Peng, Letian Huang, John Chen |
| 2014 | COLING | A Framework for Translating SMS Messages. | Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore, Ron Shacham |
| 2014 | SIGdial | MVA: The Multimodal Virtual Assistant. | Michael Johnston, John Chen, Patrick Ehlen, Hyuckchul Jung, Jay Lieske, Aarthi M. Reddy, Ethan Selfridge, Svetlana Stoyanchev, Brant Vasilieff, Jay G. Wilpon |
| 2013 | Interspeech | Multilingual web conferencing using speech-to-speech translation. | John Chen, Shufei Wen, Vivek Kumar Rangarajan Sridhar, Srinivas Bangalore |
| 2013 | Interspeech | Corpus analysis of simultaneous interpretation data for improving real time speech translation. | Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore |
| 2013 | NAACL | Segmentation Strategies for Streaming Speech Translation. | Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore, Andrej Ljolje, Rathinavelu Chengalvarayan |
| 2007 | SIGIR | On the robustness of relevance measures with incomplete judgments. | Tanuja Bompada, Chi-Chao Chang, John Chen, Ravi Kumar, Rajesh Shenoy |
| 2006 | ACL | Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier. | Cassandre Creswell, Matthew J. Beal, John Chen, Thomas L. Cornell, Lars Nilsson, Rohini K. Srihari |
| 2004 | NAACL | Summarizing Email Threads. | Owen Rambow, Lokesh Shrestha, John Chen, Christy Laurdisen |
| 2003 | EMNLP | Use of Deep Linguistic Features for the Recognition and Labeling of Semantic Arguments. | John Chen, Owen Rambow |
| 2003 | NAACL | Columbia's Newsblaster: New Features and Future Directions. | Kathleen R. McKeown, Regina Barzilay, John Chen, David K. Elson, David Kirk Evans, Judith Klavans, Ani Nenkova, Barry Schiffman, Sergey Sigelman |
| 2002 | COLING | Towards Automatic Generation of Natural Language Generation Systems. | John Chen, Srinivas Bangalore, Owen Rambow, Marilyn A. Walker |
| 2001 | EMNLP | Impact of Quality and Quantity of Corpora on Stochastic Generation. | Srinivas Bangalore, John Chen, Owen Rambow |
| 2001 | KDD | A robust and scalable clustering algorithm for mixed type attributes in large database environment. | Tom Chiu, DongPing Fang, John Chen, Yao Wang, Christopher Jeris |
| 1999 | EACL | New Models for Improving Supertag Disambiguation. | John Chen, Srinivas Bangalore, K. Vijay-Shanker |