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Dakuo Wang
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2020 – today
- 2024
- [j25]Xuhai Xu
, Bingsheng Yao
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 31:1-31:32 (2024) - [j24]Ziqi Yang
Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 73:1-73:35 (2024) - [j23]Zhuoran Lu
Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-31 (2024) - [j22]Mei Tan
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-32 (2024) - [c61]Qian Zhu
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design. Conference on Designing Interactive Systems 2024 - [c60]Hongyu Wan
Building LLM-based AI Agents in Social Virtual Reality. CHI Extended Abstracts 2024: 65:1-65:7 - [c59]Zhiping Zhang
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. CHI 2024: 156:1-156:26 - [c58]Shao Zhang
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CHI 2024: 445:1-445:18 - [c57]Tianshi Li
Human-Centered Privacy Research in the Age of Large Language Models. CHI Extended Abstracts 2024: 581:1-581:4 - [c56]Changchang Yin
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. KDD 2024: 6158-6168 - [c55]Bingsheng Yao
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling. NAACL-HLT (Findings) 2024: 1772-1790 - [i66]Zhuoran Lu, Dakuo Wang, Ming Yin:
Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making. CoRR abs/2401.07058 (2024) - [i65]Yuling Sun, Xiuqi Zhu, Xiaomu Zhou, Bingsheng Yao, Kai Zhang, Dakuo Wang, Jiaju Chen, Liang He:
Who Changed the Destiny of Rural Students, and How?: Unpacking ICT-Mediated Remote Education in Rural China. CoRR abs/2401.13799 (2024) - [i64]Yuling Sun, Jiali Liu, Bingsheng Yao, Jiaju Chen, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, Ying Xu, Liang He:
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Storytelling and Reading Activities. CoRR abs/2401.13804 (2024) - [i63]Tianshi Li, Sauvik Das, Hao-Ping Lee, Dakuo Wang, Bingsheng Yao, Zhiping Zhang:
Human-Centered Privacy Research in the Age of Large Language Models. CoRR abs/2402.01994 (2024) - [i62]Ziqi Yang, Xuhai Xu, Bingsheng Yao, Jiachen Li, Jennifer Bagdasarian, Guodong Gordon Gao, Dakuo Wang:
"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication. CoRR abs/2404.13409 (2024) - [i61]Siyi Wu, Feixue Han, Bingsheng Yao, Tianyi Xie, Xuan Zhao, Dakuo Wang:
Sunnie: An Anthropomorphic LLM-Based Conversational Agent for Mental Well-Being Activity Recommendation. CoRR abs/2405.13803 (2024) - [i60]Qian Zhu, Dakuo Wang, Shuai Ma, April Yi Wang, Zixin Chen, Udayan Khurana, Xiaojuan Ma:
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design. CoRR abs/2405.14107 (2024) - [i59]Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang:
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. CoRR abs/2407.16999 (2024) - [i58]Siyi Wu, Weidan Cao, Shihan Fu, Bingsheng Yao, Ziqi Yang, Changchang Yin, Varun Mishra, Daniel Addison, Ping Zhang, Dakuo Wang:
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity. CoRR abs/2408.03586 (2024) - [i57]Szeyi Chan, Shihan Fu, Jiachen Li, Bingsheng Yao, Smit Desai, Mirjana Prpa, Dakuo Wang:
Human and LLM-Based Voice Assistant Interaction: An Analytical Framework for User Verbal and Nonverbal Behaviors. CoRR abs/2408.16465 (2024) - [i56]Shao Zhang, Xihuai Wang, Wenhao Zhang, Yongshan Chen, Landi Gao, Dakuo Wang, Weinan Zhang, Xinbing Wang, Ying Wen:
Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task. CoRR abs/2409.08811 (2024) - [i55]Zhiping Zhang, Chenxinran Shen, Bingsheng Yao, Dakuo Wang, Tianshi Li:
Secret Use of Large Language Models. CoRR abs/2409.19450 (2024) - 2023
- [j21]Liuping Wang, Zhan Zhang, Dakuo Wang, Weidan Cao, Xiaomu Zhou, Ping Zhang, Jianxing Liu, Xiangmin Fan, Feng Tian:
Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review. Frontiers Comput. Sci. 5 (2023) - [j20]Renwen Zhang, Zhan Zhang, Dakuo Wang, Ziwei Liu:
Editorial: Responsible AI in healthcare: opportunities, challenges, and best practices. Frontiers Comput. Sci. 5 (2023) - [j19]Pengshan Cai, Zonghai Yao
PaniniQA: Enhancing Patient Education Through Interactive Question Answering. Trans. Assoc. Comput. Linguistics 11: 1518-1536 (2023) - [j18]Qunfang Wu
Malicious Selling Strategies in Livestream E-commerce: A Case Study of Alibaba's Taobao and ByteDance's TikTok. ACM Trans. Comput. Hum. Interact. 30(3): 35:1-35:29 (2023) - [c54]Paulina Toro Isaza, Guangxuan Xu, Toye Oloko, Yufang Hou, Nanyun Peng, Dakuo Wang:
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales. ACL (1) 2023: 6509-6531 - [c53]Bingsheng Yao
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. ACL (1) 2023: 14698-14713 - [c52]Farnaz Jahanbakhsh
Exploring the Use of Personalized AI for Identifying Misinformation on Social Media. CHI 2023: 105:1-105:27 - [c51]Michelle S. Lam
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CHI 2023: 741:1-741:24 - [c50]Ronald Cardenas, Bingsheng Yao
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism. EMNLP 2023: 1186-1202 - [c49]Bingsheng Yao
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. EMNLP (Findings) 2023: 11629-11643 - [c48]Nitesh Goyal
SHAI 2023: Workshop on Designing for Safety in Human-AI Interactions. IUI Companion 2023: 199-201 - [i54]Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, James A. Landay, Michael S. Bernstein:
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. CoRR abs/2303.02884 (2023) - [i53]Bingsheng Yao, Prithviraj Sen, Lucian Popa, James A. Hendler, Dakuo Wang:
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. CoRR abs/2305.03117 (2023) - [i52]Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang:
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture. CoRR abs/2305.12710 (2023) - [i51]Paulina Toro Isaza, Guangxuan Xu, Akintoye Oloko, Yufang Hou, Nanyun Peng, Dakuo Wang:
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales. CoRR abs/2305.16641 (2023) - [i50]Xuhai Xu, Bingshen Yao
Leveraging Large Language Models for Mental Health Prediction via Online Text Data. CoRR abs/2307.14385 (2023) - [i49]Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu:
PaniniQA: Enhancing Patient Education Through Interactive Question Answering. CoRR abs/2308.03253 (2023) - [i48]Ziqi Yang, Xuhai Xu, Bingsheng Yao, Shao Zhang, Ethan Rogers, Stephen S. Intille, Nawar Shara, Guodong Gordon Gao, Dakuo Wang:
Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model. CoRR abs/2309.09357 (2023) - [i47]Zhiping Zhang, Michelle Jia, Hao-Ping Hank Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. CoRR abs/2309.11653 (2023) - [i46]Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CoRR abs/2309.12368 (2023) - [i45]Amama Mahmood, Junxiang Wang, Bingsheng Yao
LLM-Powered Conversational Voice Assistants: Interaction Patterns, Opportunities, Challenges, and Design Guidelines. CoRR abs/2309.13879 (2023) - [i44]Szeyi Chan, Jiachen Li, Bingsheng Yao, Amama Mahmood, Chien-Ming Huang, Holly Jimison, Elizabeth D. Mynatt, Dakuo Wang:
"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner. CoRR abs/2310.05853 (2023) - [i43]Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang:
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts. CoRR abs/2310.10865 (2023) - [i42]Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou:
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism. CoRR abs/2310.15077 (2023) - [i41]Mei Tan, Hansol Lee, Dakuo Wang, Hariharan Subramonyam:
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education. CoRR abs/2311.05792 (2023) - [i40]Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun:
FairytaleCQA: Integrating a Commonsense Knowledge Graph into Children's Storybook Narratives. CoRR abs/2311.09756 (2023) - [i39]Bingsheng Yao
More Samples or More Prompt Inputs? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering. CoRR abs/2311.09782 (2023) - [i38]Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yun Wang, Peng Zhang, Tun Lu, Toby Jia-Jun Li, Dakuo Wang:
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks. CoRR abs/2311.09825 (2023) - [i37]Matthew Pisano
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework. CoRR abs/2312.00029 (2023) - 2022
- [j17]Florian 'Floyd' Mueller, Nathan Arthur Semertzidis, Josh Andres
Human-Computer Integration: Towards Integrating the Human Body with the Computational Machine. Found. Trends Hum. Comput. Interact. 16(1): 1-64 (2022) - [j16]Di Wu
DeepBrain: Enabling Fine-Grained Brain-Robot Interaction through Human-Centered Learning of Coarse EEG Signals from Low-Cost Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 147:1-147:27 (2022) - [j15]Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan:
Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 94:1-94:14 (2022) - [j14]Dakuo Wang, Michael J. Muller, Qian Yang, Zijun Wang, Ming Tan, Stacy Hobson:
Organizational Distance Also Matters: How Organizational Distance Among Industrial Research Teams Affect Their Research Productivity. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-18 (2022) - [j13]April Yi Wang
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks. ACM Trans. Comput. Hum. Interact. 29(2): 17:1-17:33 (2022) - [c47]Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini:
Semantic Feature Discovery with Code Mining and Semantic Type Detection. AAAI 2022: 13224-13226 - [c46]Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. ACL (1) 2022: 447-460 - [c45]Bingsheng Yao
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books. ACL (1) 2022: 731-744 - [c44]Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma:
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization. ACL (1) 2022: 5073-5085 - [c43]Chengbo Zheng
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work. CHI 2022: 53:1-53:20 - [c42]Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CHI 2022: 218:1-218:21 - [c41]Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang:
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. EMNLP (Demos) 2022: 159-168 - [c40]Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey M. Stanton:
MBTI Personality Prediction for Fictional Characters Using Movie Scripts. EMNLP (Findings) 2022: 6715-6724 - [c39]Yong Xie
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. NAACL-HLT 2022: 587-599 - [c38]Abraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch, Dakuo Wang:
Towards a Progression-Aware Autonomous Dialogue Agent. NAACL-HLT 2022: 1194-1212 - [i36]Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li:
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CoRR abs/2202.06205 (2022) - [i35]Shao Zhang, Yuting Jia, Hui Xu, Ying Wen, Dakuo Wang, Xinbing Wang:
DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance. CoRR abs/2202.10163 (2022) - [i34]Chengbo Zheng, Dakuo Wang, April Yi Wang, Xiaojuan Ma:
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work. CoRR abs/2203.11085 (2022) - [i33]Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, 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:
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. CoRR abs/2203.13947 (2022) - [i32]Zhenjie Zhao, Yufang Hou, Dakuo Wang, Mo Yu, Chengzhong Liu, Xiaojuan Ma:
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization. CoRR abs/2203.14187 (2022) - [i31]Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. CoRR abs/2205.01094 (2022) - [i30]Abraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch, Dakuo Wang:
Towards a Progression-Aware Autonomous Dialogue Agent. CoRR abs/2205.03692 (2022) - [i29]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i28]Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz:
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. CoRR abs/2208.01483 (2022) - [i27]Guangxuan Xu, Paulina Toro Isaza, Moshi Li, Akintoye Oloko, Bingsheng Yao, Aminat Adebiyi, Yufang Hou, Nanyun Peng, Dakuo Wang:
NECE: Narrative Event Chain Extraction Toolkit. CoRR abs/2208.08063 (2022) - [i26]Shao Zhang, Yuting Jia, Hui Xu, Dakuo Wang, Toby Jia-Jun Li, Ying Wen, Xinbing Wang, Chenghu Zhou:
KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction. CoRR abs/2210.02830 (2022) - [i25]Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey M. Stanton:
MBTI Personality Prediction for Fictional Characters Using Movie Scripts. CoRR abs/2210.10994 (2022) - 2021
- [j12]Ying Xu, Dakuo Wang, Penelope Collins
Same benefits, different communication patterns: Comparing Children's reading with a conversational agent vs. a human partner. Comput. Educ. 161: 104059 (2021) - [j11]Zhan Zhang
Patients' perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data. Health Informatics J. 27(2): 146045822110112 (2021) - [j10]Zhan Zhang
Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems. J. Medical Syst. 45(6): 64 (2021) - [j9]Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Mo Yu, Xiaojuan Ma, Hongan Wang:
CASS: Towards Building a Social-Support Chatbot for Online Health Community. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 9:1-9:31 (2021) - [j8]David Piorkowski
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 131:1-131:25 (2021) - [c37]Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li:
AutoText: An End-to-End AutoAI Framework for Text. AAAI 2021: 16001-16003 - [c36]Dakuo Wang, Josh Andres
AutoDS: Towards Human-Centered Automation of Data Science. CHI 2021: 79:1-79:12 - [c35]Dakuo Wang, Pattie Maes, Xiangshi Ren
Designing AI to Work WITH or FOR People? CHI Extended Abstracts 2021: 154:1-154:5 - [c34]April Yi Wang, Dakuo Wang, Jaimie Drozdal, Xuye Liu, Soya Park, Steve Oney, Christopher Brooks:
What Makes a Well-Documented Notebook? A Case Study of Data Scientists' Documentation Practices in Kaggle. CHI Extended Abstracts 2021: 445:1-445:7 - [c33]Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu
"Brilliant AI Doctor" in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment. CHI 2021: 697:1-697:18 - [c32]Xuye Liu, Dakuo Wang, April Yi Wang
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. EMNLP (Findings) 2021: 4473-4485 - [c31]Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz:
Automated Data Science for Relational Data. ICDE 2021: 2689-2692 - [c30]Jason R. C. Nurse, Francielle Vargas, Naeemul Hassan, Dakuo Wang, Panagiotis Andriotis, Amira Ghenai, Kokil Jaidka, Eni Mustafaraj, Kenneth Joseph, Brooke Foucault Welles:
Towards A Diverse, Inclusive, Accessible and Equitable AAAI International Conference on Web and Social Media (ICWSM). ICWSM Workshops 2021 - [c29]April Yi Wang, Dakuo Wang, Xuye Liu, Lingfei Wu:
Graph-Augmented Code Summarization in Computational Notebooks. IJCAI 2021: 5020-5023 - [c28]Michael J. Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang:
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks. IUI Workshops 2021 - [c27]Shweta Narkar
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. IUI 2021: 170-174 - [c26]Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy Xin Ru Wang:
D2S: Document-to-Slide Generation Via Query-Based Text Summarization. NAACL-HLT 2021: 1405-1418 - [c25]Shazia Afzal, Arunima Chaudhary, Nitin Gupta, Hima Patel, Carolina Spina, Dakuo Wang:
Data-Debugging Through Interactive Visual Explanations. PAKDD (Workshops) 2021: 133-142 - [i24]Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu, Yvonne Gao, Xiangmin Fan, Feng Tian:
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment. CoRR abs/2101.01524 (2021) - [i23]Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Shuai Ma, Mo Yu, Xiaojuan Ma, Hongan Wang:
CASS: Towards Building a Social-Support Chatbot for Online Health Community. CoRR abs/2101.01583 (2021) - [i22]Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael J. Muller, Lisa Amini:
How Much Automation Does a Data Scientist Want? CoRR abs/2101.03970 (2021) - [i21]Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Casey Dugan:
AutoDS: Towards Human-Centered Automation of Data Science. CoRR abs/2101.05273 (2021) - [i20]David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael J. Muller, Felix Portnoy:
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study. CoRR abs/2101.06098 (2021) - [i19]April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael J. Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan:
Themisto: Towards Automated Documentation Generation in Computational Notebooks. CoRR abs/2102.12592 (2021) - [i18]Yi Sun, Abel N. Valente, Sijia Liu, Dakuo Wang:
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation. CoRR abs/2103.13944 (2021) - [i17]Xuye Liu, Dakuo Wang, April Yi Wang, Lingfei Wu:
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks. CoRR abs/2104.01002 (2021) - [i16]Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D. Weisz:
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML. CoRR abs/2104.04375 (2021) - [i15]Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy Xin Ru Wang:
D2S: Document-to-Slide Generation Via Query-Based Text Summarization. CoRR abs/2105.03664 (2021) - [i14]Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu:
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset. CoRR abs/2109.03423 (2021) - [i13]Dakuo Wang, Michael J. Muller, Qian Yang, Zijun Wang, Ming Tan, Stacy Hobson:
Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity. CoRR abs/2110.01028 (2021) - [i12]Dakuo Wang, Xiaojuan Ma, April Yi Wang:
Human-Centered AI for Data Science: A Systematic Approach. CoRR abs/2110.01108 (2021) - [i11]Qunfang Wu, Yisi Sang, Dakuo Wang, Zhicong Lu:
Malicious Selling Strategies in Livestream Shopping: A Case Study of Alibaba's Taobao and ByteDance's Douyin. CoRR abs/2111.10491 (2021) - 2020
- [j7]Amy X. Zhang, Michael J. Muller, Dakuo Wang:
How do Data Science Workers Collaborate? Roles, Workflows, and Tools. Proc. ACM Hum. Comput. Interact. 4(CSCW): 022:1-022:23 (2020) - [c24]Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray:
An ADMM Based Framework for AutoML Pipeline Configuration. AAAI 2020: 4892-4899 - [c23]Zhan Zhang, Yegin Genc, Aiwen Xing, Dakuo Wang, Xiangmin Fan, Daniel Citardi:
Lay individuals' perceptions of artificial intelligence ( AI )-empowered healthcare systems. ASIST 2020 - [c22]Xiangmin Fan, Junfeng Yao, Huawei Tu, Dakuo Wang:
Chinese CHI 2020 Workshop. CHI Extended Abstracts 2020: 1-5 - [c21]Florian 'Floyd' Mueller
Next Steps for Human-Computer Integration. CHI 2020: 1-15 - [c20]Dakuo Wang, Elizabeth F. Churchill, Pattie Maes, Xiangmin Fan, Ben Shneiderman, Yuanchun Shi, Qianying Wang:
From Human-Human Collaboration to Human-AI Collaboration: Designing AI Systems That Can Work Together with People. CHI Extended Abstracts 2020: 1-6 - [c19]Dakuo Wang, Parikshit Ram, Daniel Karl I. Weidele, Sijia Liu, Michael J. Muller, Justin D. Weisz
AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop. IUI Companion 2020: 77-78 - [c18]Jaimie Drozdal, Justin D. Weisz
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems. IUI 2020: 297-307 - [c17]Daniel Karl I. Weidele, Justin D. Weisz
AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates. IUI 2020: 308-312 - [c16]Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Udayan Khurana, Horst Samulowitz, Arunima Chaudhary, Abel N. Valente, Dustin Ramsey Torres, Casey Dugan:
IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. DaSH@KDD 2020 - [i10]Jaimie Drozdal, Justin D. Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael J. Muller, Lin Ju, Hui Su:
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. CoRR abs/2001.06509 (2020) - [i9]Amy X. Zhang, Michael J. Muller, Dakuo Wang:
How do Data Science Workers Collaborate? Roles, Workflows, and Tools. CoRR abs/2001.06684 (2020) - [i8]Di Wu, Huayan Wan, Siping Liu, Weiren Yu, Zhanpeng Jin, Dakuo Wang:
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning. CoRR abs/2002.02086 (2020) - [i7]Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray:
Solving Constrained CASH Problems with ADMM. CoRR abs/2006.09635 (2020)
2010 – 2019
- 2019
- [j6]Dakuo Wang, Justin D. Weisz
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. Proc. ACM Hum. Comput. Interact. 3(CSCW): 211:1-211:24 (2019) - [j5]Yaoli Mao
How Data ScientistsWork Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? Proc. ACM Hum. Comput. Interact. 3(GROUP): 237:1-237:23 (2019) - [c15]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. ACL (1) 2019: 1371-1377 - [c14]Feng Tian, Xiangmin Fan, Junjun Fan, Yicheng Zhu, Jing Gao, Dakuo Wang, Xiaojun Bi, Hongan Wang:
What Can Gestures Tell?: Detecting Motor Impairment in Early Parkinson's from Common Touch Gestural Interactions. CHI 2019: 83 - [c13]Feng Tian, Xiangshi Ren
HCI in China: Research Agenda, Education Curriculum, Industry Partnership, and Communities Building. CHI Extended Abstracts 2019 - [c12]Richard Jacques, Asbjørn Følstad, Elizabeth Gerber, Jonathan Grudin, Ewa Luger, Andrés Monroy-Hernández
Conversational Agents: Acting on the Wave of Research and Development. CHI Extended Abstracts 2019 - [c11]Michael J. Muller, Ingrid Lange, Dakuo Wang, David Piorkowski
How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation. CHI 2019: 126 - [c10]Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar
Out-of-Domain Detection for Low-Resource Text Classification Tasks. EMNLP/IJCNLP (1) 2019: 3564-3570 - [c9]Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar
Context-Aware Conversation Thread Detection in Multi-Party Chat. EMNLP/IJCNLP (1) 2019: 6455-6460 - [i6]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. CoRR abs/1902.01030 (2019) - [i5]Dakuo Wang, Haoyu Wang, Mo Yu, Zahra Ashktorab, Ming Tan:
Slack Channels Ecology in Enterprises: How Employees Collaborate Through Group Chat. CoRR abs/1906.01756 (2019) - [i4]Dakuo Wang, Justin D. Weisz, Michael J. Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla R. Tausczik, Horst Samulowitz, Alexander G. Gray:
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI. CoRR abs/1909.02309 (2019) - [i3]Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic:
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? CoRR abs/1909.03486 (2019) - [i2]Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu:
Out-of-Domain Detection for Low-Resource Text Classification Tasks. CoRR abs/1909.05357 (2019) - [i1]Daniel Karl I. Weidele, Justin D. Weisz, Eno Oduor, Michael J. Muller, Josh Andres, Alexander G. Gray, Dakuo Wang:
AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. CoRR abs/1912.06723 (2019) - 2018
- [c8]Jing Gao, Feng Tian, Junjun Fan, Dakuo Wang, Xiangmin Fan, Yicheng Zhu, Shuai Ma
Implicit Detection of Motor Impairment in Parkinson's Disease from Everyday Smartphone Interactions. CHI Extended Abstracts 2018 - [c7]Q. Vera Liao, Muhammed Mas-ud Hussain, Praveen Chandar, Matthew Davis, Yasaman Khazaeni, Marco Patricio Crasso, Dakuo Wang, Michael J. Muller, N. Sadat Shami, Werner Geyer:
All Work and No Play? CHI 2018: 3 - [c6]Ameneh Shamekhi, Q. Vera Liao, Dakuo Wang, Rachel K. E. Bellamy, Thomas Erickson:
Face Value? CHI 2018: 391 - [c5]Haodan Tan, Dakuo Wang, Selma Sabanovic:
Projecting Life Onto Robots: The Effects of Cultural Factors and Design Type on Multi-Level Evaluations of Robot Anthropomorphism. RO-MAN 2018: 129-136 - 2017
- [j4]Youyang Hou, Dakuo Wang:
Hacking with NPOs: Collaborative Analytics and Broker Roles in Civic Data Hackathons. Proc. ACM Hum. Comput. Interact. 1(CSCW): 53:1-53:16 (2017) - [j3]Dakuo Wang, Haodan Tan, Tun Lu:
Why Users Do Not Want to Write Together When They Are Writing Together: Users' Rationales for Today's Collaborative Writing Practices. Proc. ACM Hum. Comput. Interact. 1(CSCW): 107:1-107:18 (2017) - [j2]Judith S. Olson, Dakuo Wang, Gary M. Olson, Jingwen Zhang:
How People Write Together Now: Beginning the Investigation with Advanced Undergraduates in a Project Course. ACM Trans. Comput. Hum. Interact. 24(1): 4:1-4:40 (2017) - [c4]Soobin Yim, Dakuo Wang, Judith S. Olson, Viet Vu, Mark Warschauer:
Synchronous Collaborative Writing in the Classroom: Undergraduates' Collaboration Practices and their Impact on Writing Style, Quality, and Quantity. CSCW 2017: 468-479 - 2016
- [b1]Dakuo Wang:
Exploring and Supporting Today's Collaborative Writing. University of California, Irvine, USA, 2016 - [c3]Dakuo Wang:
Exploring and Supporting Today's Collaborative Writing. CHI Extended Abstracts 2016: 255-259 - [c2]Dakuo Wang:
How People Write Together Now: Exploring and Supporting Today's Computer-Supported Collaborative Writing. CSCW Companion 2016: 175-179 - 2015
- [j1]Dakuo Wang, Gloria Mark:
Internet Censorship in China: Examining User Awareness and Attitudes. ACM Trans. Comput. Hum. Interact. 22(6): 31:1-31:22 (2015) - [c1]Dakuo Wang, Judith S. Olson, Jingwen Zhang, Trung Nguyen, Gary M. Olson:
DocuViz: Visualizing Collaborative Writing. CHI 2015: 1865-1874
Coauthor Index
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