| 2021 | ADC | Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. | May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere |
| 2020 | ICONIP | Active Object Estimation for Human-Robot Collaborative Tasks. | Chaoran Huang, Lina Yao |
| 2020 | IJCNN | Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. | Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang |
| 2019 | ADMA | Reminder Care System: An Activity-Aware Cross-Device Recommendation System. | May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yuanjiang Cao |
| 2019 | ADMA | Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. | Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao |
| 2019 | PAKDD | Similarity-Aware Deep Attentive Model for Clickbait Detection. | Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang |
| 2018 | IJCAI | Multi-modality Sensor Data Classification with Selective Attention. | Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang |
| 2018 | ICSOC | Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. | Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong |
| 2017 | ICONIP | Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. | Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang |
| 2017 | ICWS | Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. | Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng |