Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Quan Z. Sheng; Xianzhi Wang 001 (ICONIP (2), 2017)

Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Quan Z. Sheng (ICWS, 2017)

Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Quan Z. Sheng; Xianzhi Wang 001 (CoRR, 2017)

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Shuai Zhang 007; Manqing Dong (ICSOC, 2018)

Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation. - Shuai Zhang 007; Lina Yao 001; Xiaodong Ning; Chaoran Huang 001; Xiwei Xu 001; Shiyan Ou (ICWS, 2018)

Multi-modality Sensor Data Classification with Selective Attention. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Sen Wang 001; Mingkui Tan; Guodong Long; Can Wang 004 (IJCAI, 2018)

Position and Distance: Recommendation beyond Matrix Factorization. - Shuai Zhang 007; Lina Yao 001; Chaoran Huang 001; Xiwei Xu 001; Liming Zhu 001 (CoRR, 2018)

Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Salil S. Kanhere; Dalin Zhang 001 (CoRR, 2018)

A Survey on Expert Recommendation in Community Question Answering. - Xianzhi Wang 001; Chaoran Huang 001; Lina Yao 001; Boualem Benatallah; Manqing Dong (J. Comput. Sci. Technol., 2018)

Reminder Care System: An Activity-Aware Cross-Device Recommendation System. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere; Yuanjiang Cao (ADMA, 2019)

Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. - Xiaocong Chen; Chaoran Huang 001; Xiang Zhang 012; Xianzhi Wang 001; Wei Liu 101; Lina Yao 001 (ADMA, 2019)

Similarity-Aware Deep Attentive Model for Clickbait Detection. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Chaoran Huang 001 (PAKDD (2), 2019)

Expertise recommendation in online communities. - Chaoran Huang 001 (2019)

Active Object Estimation for Human-Robot Collaborative Tasks. - Chaoran Huang 001; Lina Yao 001 (ICONIP (2), 2020)

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. - Xiaocong Chen; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Wei Liu 101; Wenjie Zhang 001 (IJCNN, 2020)

Recommender Systems for the Internet of Things: A Survey. - May S. Altulyan; Lina Yao 001; Xianzhi Wang 001; Chaoran Huang 001; Salil S. Kanhere; Quan Z. Sheng (CoRR, 2020)

A unified framework for data integrity protection in people-centric smart cities. - May S. Altulyan; Lina Yao 001; Salil S. Kanhere; Xianzhi Wang 001; Chaoran Huang 001 (Multim. Tools Appl., 2020)

Opinion fraud detection via neural autoencoder decision forest. - Manqing Dong; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Chaoran Huang 001; Xiaodong Ning (Pattern Recognit. Lett., 2020)

Software expert discovery via knowledge domain embeddings in a collaborative network. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Boualem Benatallah; Xiang Zhang 012 (Pattern Recognit. Lett., 2020)

DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. - Xiang Zhang 012; Lina Yao 001; Chaoran Huang 001; Tao Gu 001; Zheng Yang 002; Yunhao Liu 001 (ACM Trans. Intell. Syst. Technol., 2020)

Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere (ADC, 2021)

Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. - May S. Altulyan; Lina Yao 001; Chaoran Huang 001; Xianzhi Wang 001; Salil S. Kanhere (Future Internet, 2021)

Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. - Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Boualem Benatallah; Chaoran Huang 001 (IEEE Trans. Serv. Comput., 2021)

Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. - May S. Altulyan; Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Salil S. Kanhere (AI, 2022)

A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. - May S. Altulyan; Lina Yao 001; Xianzhi Wang 001; Chaoran Huang 001; Salil S. Kanhere; Quan Z. Sheng (Comput. J., 2022)

Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. - Chaoran Huang 001; Lina Yao 001; Xianzhi Wang 001; Quan Z. Sheng; Schahram Dustdar; Zhongjie Wang 003; Xiaofei Xu (IEEE Internet Comput., 2022)

Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization. - Ruiyu Liang; Chaoran Huang 001; Chengguo Zhang; Binghao Li; Serkan Saydam; Ismet Canbulat (IEEE Access, 2023)

A blockchain framework data integrity enhanced recommender system. - May S. Altulyan; Lina Yao 001; Salil S. Kanhere; Chaoran Huang 001 (Comput. Intell., 2023)

Multimodal data fusion for geo-hazard prediction in underground mining operation. - Ruiyu Liang; Chengguo Zhang; Chaoran Huang 001; Binghao Li; Serkan Saydam; Ismet Canbulat; Lesley Munsamy (Comput. Ind. Eng., 2024)