Ken Gu

21 papers A* 6Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
"I Need to Find That One Chart": How Data Workers Navigate, Make Sense of, and Communicate Analytical Conversations.
CoRR
Ken Gu, Srishti Palani, Vidya Setlur
2026 A* conf
"I Need to Find That One Chart": How Data Workers Navigate, Summarize and Communicate Analytical Conversations.
CHI
Ken Gu, Srishti Palani, Vidya Setlur
2025 J jnl
Completion ≠ Collaboration: Scaling Collaborative Effort with Agents.
CoRR
Shannon Zejiang Shen, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn J. Shen, Ameet Talwalkar, Tongshuang Wu, David A. Sontag
2025 J jnl
LSM-2: Learning from Incomplete Wearable Sensor Data.
CoRR
Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff
2025 J jnl
RADAR: Benchmarking Language Models on Imperfect Tabular Data.
CoRR
Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A. Xu, Girish Narayanswamy, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak N. Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu
2025 J jnl
SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models.
CoRR
Ken Gu, Advait Bhat, Mike A. Merrill, Robert West, Xin Liu, Daniel McDuff, Tim Althoff
2025 J jnl
The Anatomy of a Personal Health Agent.
CoRR
A. Ali Heydari, Ken Gu, Vidya Srinivas, Hong Yu, Zhihan Zhang, Yuwei Zhang, Akshay Paruchuri, Qian He, Hamid Palangi, Nova Hammerquist, Ahmed A. Metwally, Brent Winslow, Yubin Kim, Kumar Ayush, Yuzhe Yang, Girish Narayanswamy, Maxwell A. Xu, Jake Garrison, Amy A. Lee, Jenny Vafeiadou, Benjamin Graef, Isaac R. Galatzer-Levy, Erik Schenck, Andrew Barakat, Javier Perez Matos, Jacqueline Shreibati, John Hernandez, Anthony Z. Faranesh, Javier L. Prieto, Conor Heneghan, Yun Liu, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Tim Althoff, Xin Liu, Daniel McDuff, Xuhai Xu
2025 J jnl
Towards a Science of Scaling Agent Systems.
CoRR
Yubin Kim, Ken Gu, Chanwoo Park, Chunjong Park, Samuel Schmidgall, A. Ali Heydari, Yao Yan, Zhihan Zhang, Yuchen Zhuang, Mark Malhotra, Paul Pu Liang, Hae Won Park, Yuzhe Yang, Xuhai Xu, Yilun Du, Shwetak N. Patel, Tim Althoff, Daniel McDuff, Xin Liu
2024 — conf
BLADE: Benchmarking Language Model Agents for Data-Driven Science.
EMNLP (Findings)
Ken Gu, Ruoxi Shang, Ruien Jiang, Keying Kuang, Richard-John Lin, Donghe Lyu, Yue Mao, Youran Pan, Teng Wu, Jiaqian Yu, Yikun Zhang, Tianmai M. Zhang, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff
2024 J jnl
BLADE: Benchmarking Language Model Agents for Data-Driven Science.
CoRR
Ken Gu, Ruoxi Shang, Ruien Jiang, Keying Kuang, Richard-John Lin, Donghe Lyu, Yue Mao, Youran Pan, Teng Wu, Jiaqian Yu, Yikun Zhang, Tianmai M. Zhang, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff
2024 A* conf
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
CHI
Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker
2024 A* conf
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study.
CHI
Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, Tim Althoff
2023 J jnl
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
CoRR
Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker
2023 J jnl
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study.
CoRR
Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, Tim Althoff
2023 A* conf
Understanding and Supporting Debugging Workflows in Multiverse Analysis.
CHI
Ken Gu, Eunice Jun, Tim Althoff
2022 J jnl
Understanding and Supporting Debugging Workflows in Multiverse Analysis.
CoRR
Ken Gu, Eunice Jun, Tim Althoff
2020 J jnl
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction.
CoRR
Yunsheng Bai, Ken Gu, Yizhou Sun, Wei Wang
2020 J jnl
Fast Detection of Maximum Common Subgraph via Deep Q-Learning.
CoRR
Yunsheng Bai, Derek Xu, Alex Wang, Ken Gu, Xueqing Wu, Agustin Marinovic, Christopher Ro, Yizhou Sun, Wei Wang
2020 A* conf
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching.
AAAI
Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang
2019 A* conf
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity.
IJCAI
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2019 J jnl
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity.
CoRR
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang