Zhengxuan Wu
Cited by
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Rotating online behavior change interventions increases effectiveness but also increases attrition
G Kovacs, Z Wu, MS Bernstein
Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-25, 2018
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset
D Ong, Z Wu, ZX Tan, M Reddan, I Kahhale, A Mattek, J Zaki
IEEE Transactions on Affective Computing, 2019
Attending to emotional narratives
Z Wu, X Zhang, T Zhi-Xuan, J Zaki, DC Ong
2019 8th International Conference on Affective Computing and Intelligent …, 2019
Conservation of Procrastination: Do Productivity Interventions Save Time or Just Redistribute It?
G Kovacs, DM Gregory, Z Ma, Z Wu, G Emami, J Ray, MS Bernstein
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
DynaSent: A Dynamic Benchmark for Sentiment Analysis
C Potts, Z Wu, A Geiger, D Kiela
arXiv preprint arXiv:2012.15349, 2020
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
Z Wu, DC Ong
arXiv preprint arXiv:2010.07523, 2020
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis
Z Wu, TS Nguyen, DC Ong
arXiv preprint arXiv:2010.04922, 2020
Upward flame spread and extinction over wavy solids
EJ Stalcup, JS T’ien, J Jordan, Z Wu, G Nastac, C Li
Combustion Science and Technology 192 (7), 1173-1198, 2020
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently
G Kovacs, Z Wu, MS Bernstein
arXiv preprint arXiv:2101.11743, 2021
Pragmatically Informative Color Generation by Grounding Contextual Modifiers
Z Wu, DC Ong
arXiv preprint arXiv:2010.04372, 2020
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