| 2025 | ICLR | Neural Causal Graph for Interpretable and Intervenable Classification. | Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le, Zhe Quan, Tat-Seng Chua |
| 2024 | AAAI | Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification. | Yajing Zhai, Yawen Zeng, Zhiyong Huang, Zheng Qin, Xin Jin, Da Cao |
| 2021 | CVPR | Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval. | Yawen Zeng, Da Cao, Xiaochi Wei, Meng Liu, Zhou Zhao, Zheng Qin |
| 2021 | EMNLP | Recall and Learn: A Memory-augmented Solver for Math Word Problems. | Shifeng Huang, Jiawei Wang, Jiao Xu, Da Cao, Ming Yang |
| 2018 | AIED | Learner Behavioral Feature Refinement and Augmentation Using GANs. | Da Cao, Andrew S. Lan, Weiyu Chen, Christopher G. Brinton, Mung Chiang |
| 2018 | EDM | Principles for Assessing Adaptive Online Courses. | Weiyu Chen, Carlee Joe-Wong, Christopher G. Brinton, Liang Zheng, Da Cao |
| 2018 | EDM | Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams. | Weiyu Chen, Andrew S. Lan, Da Cao, Christopher G. Brinton, Mung Chiang |
| 2018 | SIGIR | Attentive Group Recommendation. | Da Cao, Xiangnan He, Lianhai Miao, Yahui An, Chao Yang, Richang Hong |
| 2017 | INFOCOM | Behavior in social learning networks: Early detection for online short-courses. | Weiyu Chen, Christopher G. Brinton, Da Cao, Mung Chiang |
| 2017 | SIGIR | Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. | Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Shunzhi Zhu, Tat-Seng Chua |