Publications

2025
Evaluating Mathematical Reasoning Beyond Accuracy
Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu
AAAI 2025: The Thirty-Ninth AAAI Conference on Artificial Intelligence
SPHERE: An Evaluation Card for Human-AI Systems
Qianou Ma*, Dora Zhao*, Xinran Zhao, Chenglei Si, Chenyang Yang, Ryan Louie, Ehud Reiter, Diyi Yang+, Tongshuang Wu+
ACL Findings 2025: Findings of the Association for Computational Linguistics
Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications in AI-assisted Data Analysis
Qianou Ma, Kenneth Koedinger, Tongshuang Wu
ArXiv 2025: ArXiv
From Prompts to Reflection: Designing Reflective Play for GenAI Literacy
Qianou Ma, Megan Chai, Yike Tan, Jihun Choi, Jini Kim, Erik Harpstead, Geoff Kauffman, Tongshuang Wu
ArXiv 2025: arXiv:2509.13679
What Prompts Don’t Say: Understanding and Managing Underspecification in LLM Prompts
Chenyang Yang, Yike Shi, Qianou Ma, Michael Xieyang Liu, Christian Kästner, Tongshuang Wu
ArXiv 2025: arXiv:2505.13360
Completion ≠ Collaboration: Scaling Collaborative Effort with Agents
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, David Sontag, Tongshuang Wu
ArXiv 2025: ArXiv
RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems
Yixiao Zeng, Tianyu Cao, Danqing Wang, Xinran Zhao, Zimeng Qiu, Morteza Ziyadi, Tongshuang Wu, Lei Li
ArXiv 2025: arXiv:2506.00789
Revela: Dense Retriever Learning via Language Modeling
Fengyu Cai, Tong Chen, Xinran Zhao, Sihao Chen, Hongming Zhang, Sherry Tongshuang Wu, Iryna Gurevych, Heinz Koeppl
ArXiv 2025: arXiv:2506.16552
Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation
Chentianye Xu, Jionghao Lin, Tongshuang Wu, Vincent Aleven, Kenneth R. Koedinger
ArXiv 2025: ArXiv 2501.09824
General Scales Unlock AI Evaluation with Explanatory and Predictive Power
Lexin Zhou, Lorenzo Pacchiardi, Fernando Martínez-Plumed, Katherine M. Collins, Yael Moros-Daval, Seraphina Zhang, Qinlin Zhao, Yitian Huang, Luning Sun, Jonathan E. Prunty, Zongqian Li, Pablo Sánchez-García, Kexin Jiang Chen, Pablo A. M. Casares, Jiyun Zu, John Burden, Behzad Mehrbakhsh, David Stillwell, Manuel Cebrian, Jindong Wang, Peter Henderson, Sherry Tongshuang Wu, Patrick C. Kyllonen, Lucy Cheke, Xing Xie, José Hernández-Orallo
ArXiv 2025: ArXiv 2409.08775
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang
CHI Case Study 2025: the 2025 Conference on Human Factors in Computing Systems
The Ramon Llull's Thinking Machine for Automated Ideation
Xinran Zhao, Boyuan Zheng, Chenglei Si, Haofei Yu, Ken Ziyu Liu, Runlong Zhou, Ruochen Li, Tong Chen, Xiang Li, Yiming Zhang, Tongshuang Wu
COLM LM4Sci 2025: LLM for Scientific Discovery: Reasoning, Assistance, and Collaboration
MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
Jushaan Singh Kalra, Xinran Zhao, To Eun Kim, Fengyu Cai, Fernando Diaz, Tongshuang Wu
EMNLP 2025: The 2025 Conference on Empirical Methods in Natural Language Processing
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang, Chenyang Yang, Jiayi Wei, Tongshuang Wu
EMNLP Findings 2025: The 2025 Conference on Empirical Methods in Natural Language Processing
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu
IUI 2025: ACM Conference on Intelligent User Interfaces
SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation
Xuhui Zhou, Zhe Su, Sophie Feng, Jiaxu Zhou, Jen-tse Huang, Hsien-Te Kao, Spencer Lynch, Svitlana Volkova, Tongshuang Wu, Anita Woolley, Hao Zhu, Maarten Sap
NAACL Demo Track 2025: The 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics
Checklists Are Better Than Reward Models For Aligning Language Models
Vijay Viswanathan, Yanchao Sun, Shuang Ma, Xiang Kong, Meng Cao, Graham Neubig, Tongshuang Wu
NeurIPS Spotlight 2025: The Thirty-Ninth Annual Conference on Neural Information Processing Systems
What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use
Qianou Ma, Weirui Peng, Chenyang Yang, Hua Shen, Kenneth Koedinger, Tongshuang Wu
TOCHI 2025: ACM Transactions on Computer-Human Interaction
2024
Better Synthetic Data by Retrieving and Transforming Existing Datasets
Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
ACL Findings 2024: the 62nd Annual Meeting of the Association for Computational Linguistics
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen
ACL Findings 2024: the 62nd Annual Meeting of the Association for Computational Linguistics
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging Best Paper
Qiaomu Ma, Hua Shen, Kenneth Koedinger, Tongshuang Wu
AIED 2024: The 25th International Conference on Artificial Intelligence in Education
Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study in Generative AI for Computer-Supported Collaborative Learning
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, Charles Murray, Majd Sakr, Carolyn P. Rose
AIED 2024: The 25th International Conference on Artificial Intelligence in Education
What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing
Chenyang Yang, Yining Hong, Grace A. Lewis, Tongshuang Wu, Christian Kästner
ASE 2024: the 39th IEEE/ACM International Conference on Automated Software Engineering
Providing Tailored Reflection Instructions in Collaborative Learning Using Large Language Models
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rose
BERA 2024: British Journal of Educational Technology
Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
Michael Xieyang Liu, Tongshuang Wu, Tianying Chen, Franklin Mingzhe Li, Aniket Kittur, Brad A. Myers
CHI 2024: the 2024 Conference on Human Factors in Computing Systems
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia
Tzu-Sheng Kuo, Aaron Halfaker, Zirui Cheng, Jiwoo Kim, Meng-Hsin Wu, Tongshuang Wu, Ken Holstein, Haiyi Zhu
CHI 2024: the 2024 Conference on Human Factors in Computing Systems
Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness
Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Tongshuang Wu
CoLM 2024: Conference on Language Modeling
"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs
Cheng Qian, Xinran Zhao, Tongshuang Wu
CoLM 2024: Conference on Language Modeling
Self-Guide: Better Task-Specific Instruction Following via Self-Synthetic Finetuning
Chenyang Zhao, Xueying Jia, Vijay Viswanathan, Graham Neubig, Tongshuang Wu
CoLM 2024: Conference on Language Modeling
Tool Learning with Foundation Models
Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang5, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun
Computing Surveys 2024: ACM Computing Surveys
Synthetic Multimodal Question Generation
Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig
EMNLP Findings 2024: Findings of the Association for Computational Linguistics: EMNLP 2024
Large Language Models Help Humans Verify Truthfulness – Except When They are Convincingly Wrong
Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan Boyd-Graber
NAACL 2024: 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A Large Scale Audit of Dataset Licensing and Attribution in AI
Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi (Alexis) Wu, Enrico Shippole, Kurt Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Deb Roy, Sara Hooker
Nature Machine Intelligence 2024: Nature Machine Intelligence
Do LLMs Exhibit Human-Like Response Biases? A Case Study in Survey Design
Lindia Tjuatja, Valerie Chen, Tongshuang Wu, Ameet Talwalkar, Graham Neubig
TACL 2024: Transactions of the Association for Computational Linguistics
HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation
Zirui Wang, Xinran Zhao, Simon Stepputtis, Woojun Kim, Tongshuang Wu, Katia Sycara, Yaqi Xie
Video-Language Models Workshop @ NeurIPS 2024: Workshop on Video-Language Models at 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
2023
Capabilities for Better ML Engineering
Chenyang Yang, Rachel Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
AAAI SafeAI 2023: The AAAI's Workshop on Artificial Intelligence Safety
Measuring Adversarial Datasets
Yuanchen Bai, Raoyi Huang, Vijay Viswanathan, Tzu-Sheng Kuo, Tongshuang Wu
AACL ART of Safety 2023: AAAI ART of Safety Workshop
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions
Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig
ACL 2023: the 61th Annual Meeting of the Association for Computational Linguistics
Is AI the Better Programming Partner? Human-Human Pair Programming vs. Human-AI pAIr Programming
Qianou Christina Ma, Tongshuang Wu, Kenneth Koedinger
AIED2023 Empowering Education with LLMs 2023: AIED2023 Empowering Education with LLMs - the Next-Gen Interface and Content Generation
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses
Logan Stapleton, Jordan Taylor, Sarah Fox, Tongshuang Wu, Haiyi Zhu
ArXiv 2023: ArXiv
Parachute: Evaluating Interactive Human-LM Co-writing Systems
Hua Shen, Tongshuang Wu
CHI In2Writing 2023: The Second Workshop on Intelligent and Interactive Writing Assistants
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao (Kenneth) Huang
CSCW Demo Track 2023: Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing: Demo Track
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases
Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap
EMNLP 2023: The 2023 Conference on Empirical Methods in Natural Language Processing
Promp2Model: Generating Deployable Models from Natural Language Instructions
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
EMNLP Demo Track 2023: The 2023 Conference on Empirical Methods in Natural Language Processing
From Nuisance to News Sense: Augmenting the News with Cross-document Evidence and Context
Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu
EMNLP Demo Track 2023: The 2023 Conference on Empirical Methods in Natural Language Processing
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs
Chenyang Yang, Rishabh Rustogi, Rachel Brower-Sinning, Grace Lewis, Christian Kaestner, Tongshuang Wu
EMNLP Findings 2023: The 2023 Conference on Empirical Methods in Natural Language Processing
ScatterShot: Interactive In-context Example Curation for Text Transformation Honorable Mention
Tongshuang Wu, Hua Shen, Jeffrey Heer, Daniel S. Weld, Marco Tulio Ribeiro
IUI 2023: ACM Conference on Intelligent User Interfaces
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, et al.
NEJLT 2023: Northern European Journal of Language Technology
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins
TACL 2023: Transactions of the Association for Computational Linguistics
Large Language Models Enable Few-Shot Clustering
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
TACL 2023: Transactions of the Association for Computational Linguistics
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking
Hyeonsu Kang, Tongshuang Wu, Joseph Chee Chang, Aniket Kittur
UIST 2023: The ACM Symposium on User Interface Software and Technology
Transparent and Controllable Human-AI Interaction via Chaining of Machine-Learned Language Models
Carrie Cai, Tongshuang Wu, Michael Terry
US Patent US 2023/0112921 A1 2023:
2022
Providing Suggestions of Expanded Text from Abbreviated Text Input
Ajit Narayanan, Subhashini Venugopalan, Tongshuang Wu, Shanqing Cai, Michael Terry, Meredith Morris, Carrie Cai
(Defensive Publication) 2022:
Building a Storytelling conversational Agent through Parent-AI Collaboration
Zheng Zheng, Ying Xu, Yanhao Wang, Tongshuang Wu, Bingsheng Yao, Daniel Ritchie, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
AAAI AI4ED 2022: AAAI Artificial Intelligence for Education Workshop
Are Shortest Rationales the Best Explanations for Human Understanding?
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao 'Kenneth' Huang
ACL 2022: the 60th Annual Meeting of the Association for Computational Linguistics
Fantastic Questions and Where to Find Them: FairytaleQA -- An Authentic Dataset for Narrative Comprehension
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zheng, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
ACL 2022: the 60th Annual Meeting of the Association for Computational Linguistics
It is AI's Turn to Ask Humans a Question: Question and Answer Pair Generation for Children Storybooks with FairytaleQA Dataset
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Toby Jia-Jun Li, Mo Yu, Ying Xu
ACL 2022: the 60th Annual Meeting of the Association for Computational Linguistics
Tailor: Generating and Perturbing Text with Semantic Controls
Tongshuang Wu*, Alexis Ross*, Hao Peng, Matthew E. Peters, Matt Gardner
ACL 2022: the 60th Annual Meeting of the Association for Computational Linguistics
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Tongshuang Wu, Michael Terry, Carrie J. Cai
CHI 2022: the 2022 Conference on Human Factors in Computing Systems
StoryBuddy: A Human-AI Collaborative Agent for Parent-Child Interactive Storytelling with Flexible Parent Involvement
Zheng Zhang, Ying Xu, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
CHI 2022: the 2022 Conference on Human Factors in Computing Systems
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages Honorable Mention
Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang
CHI 2022: the 2022 Conference on Human Factors in Computing Systems
PromptChainer: Chaining Large Language Model Promptsthrough Visual Programming
Tongshuang Wu*, Ellen Jiang*, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, Carrie J. Cai
CHI LBW 2022: the 2022 Conference on Human Factors in Computing Systems (Late Breaking Work)
Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
TVCG 2022: IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis 2022)
2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, Daniel S. Weld
ACL 2021: the 59th Annual Meeting of the Association for Computational Linguistics
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Tongshuang Wu*, Gagan Bansal*, Joyce Zhou+, Raymond Fok+, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, Daniel S. Weld
CHI 2021: the 2021 Conference on Human Factors in Computing Systems
Principles and Interactive Tools for Evaluating and Improvingthe Behavior of Natural Language Processing models
Tongshuang Wu
CHI DC 2021: CHI 2022 Doctoral Consortium
DeHumor: Visual Analytics forDecomposing Humor
Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu
TVCG 2021: IEEE Transactions on Visualization and Computer Graphics
2020
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList Best Paper
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
ACL 2020: the 58th Annual Meeting of the Association for Computational Linguistics
No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML
Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan Boyd-Graber, Daniel S. Weld, Leah Findlater
CHI 2020: the 2020 Conference on Human Factors in Computing Systems
Tempura: Query Analysis with Structural Templates
Tongshuang Wu, Kanit (Ham) Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois
CHI 2020: the 2020 Conference on Human Factors in Computing Systems
Interactive Attention Model Explorer for Natural Language Processing Tasks with Unbalanced Data Sizes
Tongshuang Wu*, Zhihang Dong*, Sicheng Song, Mingrui Zhang
PacificVis 2020: IEEE Pacific Visualization Symposium 2020
2019
Errudite: Scalable, Reproducible, and Testable Error Analysis
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, Daniel S. Weld
ACL 2019: the 57th Annual Meeting of the Association for Computational Linguistics
Interactive Context-Aware Anomaly Detection Guided by User Feedback
Yang Shi, Maoran Xu, Rongwen Zhao, Hao Fu, Tongshuang Wu, Nan Cao
THMS 2019: IEEE Transactions on Human-Machine Systems
Local Decision Pitfalls in Interactive Machine Learning: An Investigation into Feature Selection in Sentiment Analysis
Tongshuang Wu, Daniel S. Weld, Jeffrey Heer
TOCHI 2019: ACM Transactions on Computer-Human Interaction 26.4
2018
Visualizing Attention in Sequence-to-Sequence Summarization Models
Halden Lin, Tongshuang Wu, Kanit (Ham) Wongsuphasawat, Yejin Choi, Jeffrey Heer
VAST 2018: IEEE Conference on Visual Analytics Science and Technology
2016
NetworkSeer: Visual Analysis for Social Network in MOOCs Best Paper
Tongshuang Wu, Yuan Yao, Yuqing Duan, Xinzhi Fan, Huamin Qu
PacificVis 2016: IEEE Pacific Visualization Symposium 2016
STAC: Enhancing Stacked Graphs for Time Series Analysis
Yun Wang, Tongshuang Wu, Zhutian Chen, Huamin Qu, Qiong Luo
PacificVis 2016: IEEE Pacific Visualization Symposium 2016
NameClarifier: A Visual Analytics System for Author Name Disambiguation
Qiaomu Shen, Tongshuang Wu, Haiyan Yang, Yanhong Wu, Huamin Qu, Weiwei Cui
TVCG 2016: IEEE Transactions on Visualization and Computer Graphics (Proc. VAST 2016)
PieceStack: Toward Better Understanding of Stacked Graphs Honorable Mention
Tongshuang Wu, Yingcai Wu, Conglei Shi, Huamin Qu, Weiwei Cui
TVCG 2016: IEEE Transactions on Visualization and Computer Graphics (Proc. PacificVis 2016)