John Chen

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 42

Top Topics

Semantic Representations

Top Venues

Publications

John Chen, Xi Lu, Michael Rejtig, David Du, Ruth Bagley, Michael S. Horn, Uri J. Wilensky
Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat. CoRR (2024)
John Chen, Xi Lu, Yuzhou Du, Michael Rejtig, Ruth Bagley, Mike S. Horn, Uri Wilensky
Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat. CHI (2024)
John Chen, Lexie Zhao, Yinmiao Li, Zhennian Xie, Uri Wilensky, Mike S. Horn
"Oh My God! It's Recreating Our Room!" Understanding Children's Experiences with A Room-Scale Augmented Reality Authoring Toolkit. CHI (2024)
James T. Wilkinson, Jacob Kelter, John Chen, Uri Wilensky
A Network Simulation of OTC Markets with Multiple Agents. CoRR (2024)
John Chen, Mike S. Horn, Uri Wilensky
NetLogo AR: Bringing Room-Scale Real-World Environments Into Computational Modeling for Children. IDC (2023)
John Chen, Lexie Zhao, Mike S. Horn, Uri Wilensky
The Pocketworld Playground: Engaging Online, Out-of-School Learners with Agent-based Programming. IDC (2023)
John Chen, Uri Wilensky
ChatLogo: A Large Language Model-Driven Hybrid Natural-Programming Language Interface for Agent-based Modeling and Programming. CoRR (2023)
Rudy Peterson, Eric Hayden Campbell, John Chen, Natalie Isak, Calvin Shyu, Ryan Doenges, Parisa Ataei, Nate Foster
P4Cub: A Little Language for Big Routers. CPP (2023)
Kritphong Mongkhonvanit, Tyler M. Hummer, John Chen
Velo: Exploring Animal Behavior Modeling through Hybrid Robotics-Simulation Learning Experience. IDC (2023)
John Chen, Samarth Sinha, Anastasios Kyrillidis
Stackmix: a complementary mix algorithm. UAI (2022)
John Chen, Cameron R. Wolfe, Tasos Kyrillidis
REX: Revisiting Budgeted Training with an Improved Schedule. MLSys (2022)
John Chen, Cameron R. Wolfe, Zhao Li, Anastasios Kyrillidis
Demon: Improved Neural Network Training With Momentum Decay. ICASSP (2022)
John Chen, Benjamin Coleman, Anshumali Shrivastava
Revisiting Consistent Hashing with Bounded Loads. AAAI (2021)
Haoyu Wang, John Chen, Majid Laali, Kevin Durda, Jeff King, William Campbell, Yang Liu
Leveraging ASR N-Best in Deep Entity Retrieval. Interspeech (2021)
John Chen, Qihan Wang, Anastasios Kyrillidis
Mitigating deep double descent by concatenating inputs. CoRR (2021)
John Chen, Cameron R. Wolfe, Anastasios Kyrillidis
REX: Revisiting Budgeted Training with an Improved Schedule. CoRR (2021)
Hillary Ngai, Yoona Park, John Chen, Mahboobeh Parsapoor
Transformer-Based Models for Question Answering on COVID19. CoRR (2021)
John Chen, Qihan Wang, Anastasios Kyrillidis
Mitigating Deep Double Descent by Concatenating Inputs. CIKM (2021)
John Chen, Ian Berlot-Attwell, Safwan Hossain, Xindi Wang, Frank Rudzicz
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. CoRR (2020)
John Chen, Uri Wilensky
NetLogo Mobile: An Agent-Based Modeling Platform and Community for Learners, Teachers, and Researchers. ICLS (2020)
John Chen, Vatsal Shah, Anastasios Kyrillidis
Negative Sampling in Semi-Supervised learning. ICML (2020)
John Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain, Frank Rudzicz
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. ClinicalNLP@EMNLP (2020)
Benjamin Coleman, Gaurav Gupta, John Chen, Anshumali Shrivastava
STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge. CoRR (2020)
John Chen, Samarth Sinha, Anastasios Kyrillidis
ImCLR: Implicit Contrastive Learning for Image Classification. CoRR (2020)
Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Akinli Koçak, Elham Dolatabadi
A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature. SDP@EMNLP (2020)
John Chen, Anastasios Kyrillidis
Decaying momentum helps neural network training. CoRR (2019)
Riyaz Ahmad Bhat, John Chen, Rashmi Prasad, Srinivas Bangalore
Neural Transition Systems for Modeling Hierarchical Semantic Representations. INTERSPEECH (2019)
David S. Janzen, Ryan Chang, John Chen
Development of mobile applications to study engineering students' patterns of learning. FIE (2019)
John Chen, Vatsal Shah, Anastasios Kyrillidis
Negative sampling in semi-supervised learning. CoRR (2019)
John Chen, Benjamin Coleman, Anshumali Shrivastava
Revisiting Consistent Hashing with Bounded Loads. CoRR (2019)
Yue Chen, John Chen
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling. NAACL-HLT (2) (2019)
John Chen, David S. Janzen, Karen McGaughey, Jim Widmann
Tracking learning engagement at the student level. FIE (2019)
Matthew Scheidt, Justin C. Major, Julianna Ge, Allison Godwin, John Chen, Brian Self, Jim Widmann, Edward J. Berger
Exploring the Relationship Between Non-Cognitive and Affective (NCA) Factors and First-Year Retention of Undergraduates in Engineering. FIE (2019)
Nicholas Ruiz, Srinivas Bangalore, John Chen
Bootstrapping Multilingual Intent Models via Machine Translation for Dialog Automation. EAMT (2018)
Matthew Scheidt, Ryan Senkpeil, John Chen, Allison Godwin, Edward J. Berger
SAT Does Not Spell Success: How Non-Cognitive Factors Can Explain Variance in the GPA of Undergraduate Engineering and Computer Science Students. FIE (2018)
Edward J. Berger, Allison Godwin, Matthew Scheidt, John Chen, Ryan Senkpeil, Julianna Ge, James M. Widmann, Brian Self, Ann Q. Gates
Collaborative survey construction for national data collection: Coordination, negotiation, and delivery. FIE (2018)
Julianna S. Ge, Edward J. Berger, John Chen, Brian Self
Do Great Minds Think Alike? : Racial/Ethnic and Gender Differences in Mindset of Undergraduate Engineering Students. FIE (2018)
Nicholas Ruiz, Srinivas Bangalore, John Chen
Bootstrapping Multilingual Intent Models via Machine Translation for Dialog Automation. CoRR (2018)
John Chen, Rashmi Prasad, Svetlana Stoyanchev, Ethan Selfridge, Srinivas Bangalore, Michael Johnston
Corpus and Annotation Towards NLU for Customer Ordering Dialogs. SLT (2018)
John Chen, Srinivas Bangalore
Underspecification in Natural Language Understanding for Dialog Automation. RANLP (2017)
Yang Shi, Yang Wang, Ye Qi, John Chen, Xiaoyao Xu, Kwan-Liu Ma
IdeaWall: Improving Creative Collaboration through Combinatorial Visual Stimuli. CSCW (2017)
Hai Peng, Letian Huang, John Chen
An efficient FPGA implementation for odd-even sort based KNN algorithm using OpenCL. ISOCC (2016)
Yuliang Pu, Jun Peng, Letian Huang, John Chen
An Efficient KNN Algorithm Implemented on FPGA Based Heterogeneous Computing System Using OpenCL. FCCM (2015)
Michael Johnston, John Chen, Patrick Ehlen, Hyuckchul Jung, Jay Lieske, Aarthi M. Reddy, Ethan Selfridge, Svetlana Stoyanchev, Brant Vasilieff, Jay G. Wilpon
MVA: The Multimodal Virtual Assistant. SIGDIAL Conference (2014)
Svetlana Stoyanchev, Hyuckchul Jung, John Chen, Srinivas Bangalore
AT&T: The Tag&Parse Approach to Semantic Parsing of Robot Spatial Commands. SemEval@COLING (2014)
Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore, Ron Shacham
A Framework for Translating SMS Messages. COLING (2014)
Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore, Alistair Conkie
Role of pausing in text-to-speech synthesis for simultaneous interpretation. SSW (2013)
John Chen, Shufei Wen, Vivek Kumar Rangarajan Sridhar, Srinivas Bangalore
Multilingual web conferencing using speech-to-speech translation. INTERSPEECH (2013)
Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore
Corpus analysis of simultaneous interpretation data for improving real time speech translation. INTERSPEECH (2013)
Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore, Andrej Ljolje, Rathinavelu Chengalvarayan
Segmentation Strategies for Streaming Speech Translation. HLT-NAACL (2013)
Li Yang, Erik Peterson, John Chen, Yana Petrova, Rohini K. Srihari
Unsupervised Russian POS Tagging with Appropriate Context. TSD (2011)
Harish Srinivasan, John Chen, Rohini K. Srihari
Cross document person name disambiguation using entity profiles. TAC (2009)
Tanuja Bompada, Chi-Chao Chang, John Chen, Ravi Kumar, Rajesh Shenoy
On the robustness of relevance measures with incomplete judgments. SIGIR (2007)
John Chen, Srinivas Bangalore, K. Vijay-Shanker
Automated extraction of Tree-Adjoining Grammars from treebanks. Nat. Lang. Eng. 12 (3) (2006)
Cassandre Creswell, Matthew J. Beal, John Chen, Thomas L. Cornell, Lars Nilsson, Rohini K. Srihari
Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier. ACL (2006)
Barry G. Condron, John Chen
Mapping structure and connectivity. Complex. 9 (4) (2004)
Owen Rambow, Lokesh Shrestha, John Chen, Christy Laurdisen
Summarizing Email Threads. HLT-NAACL (Short Papers) (2004)
Kathleen R. McKeown, Regina Barzilay, John Chen, David K. Elson, David Kirk Evans, Judith Klavans, Ani Nenkova, Barry Schiffman, Sergey Sigelman
Columbia's Newsblaster: New Features and Future Directions. HLT-NAACL (2003)
John Chen, Owen Rambow
Use of Deep Linguistic Features for the Recognition and Labeling of Semantic Arguments. EMNLP (2003)
Alexis Nasr, Owen Rambow, John Chen, Srinivas Bangalore
Context-Free Parsing of a Tree Adjoining Grammar Using Finite-State Machines. TAG+ (2002)
John Chen, Srinivas Bangalore, Michael Collins, Owen Rambow
Reranking an n-gram supertagger. TAG+ (2002)
John Chen, Srinivas Bangalore, Owen Rambow, Marilyn A. Walker
Towards Automatic Generation of Natural Language Generation Systems. COLING (2002)
Tom Chiu, DongPing Fang, John Chen, Yao Wang, Christopher Jeris
A robust and scalable clustering algorithm for mixed type attributes in large database environment. KDD (2001)
Srinivas Bangalore, John Chen, Owen Rambow
Impact of Quality and Quantity of Corpora on Stochastic Generation. EMNLP (2001)
John Chen, K. Vijay-Shanker
Automated Extraction of TAGs from the Penn Treebank. IWPT (2000)
John Chen, Srinivas Bangalore, K. Vijay-Shanker
New Models for Improving Supertag Disambiguation. EACL (1999)
John Chen, K. Vijay-Shanker
Towards a Reduced Commitment, D-Theory Style TAG Parser. IWPT (1997)