GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang; Ning Li 041 (IEEE BigData, 2019)

Seeded-BTM: Enabling Biterm Topic Model with Seeds for Product Aspect Mining. - Ning Li 041; Chi-Yin Chow; Jia-Dong Zhang (HPCC/SmartCity/DSS, 2019)

EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining. - Ning Li 041; Chi-Yin Chow; Jia-Dong Zhang (PAKDD (2), 2020)

SEML: A Semi-Supervised Multi-Task Learning Framework for Aspect-Based Sentiment Analysis. - Ning Li 041; Chi-Yin Chow; Jia-Dong Zhang (IEEE Access, 2020)

DA-BERT: Enhancing Knowledge Selection in Dialog via Domain Adapted BERT with Dynamic Masking Probability. - Zhi Zeng; Chi-Yin Chow; Ning Li 041 (SMARTCOMP, 2021)

Improving Dialog System Grounded with Unstructured Knowledge by Domain Adaptive Pre-Training and Post-Ranking. - Zhi Zeng; Kam-Yiu Lam; Chi-Yin Chow; Ning Li 041 (Int. J. Humanoid Robotics, 2021)

Pairwise and Hyper-correlations Based Spatiotemporal Neural Networks for Traffic Speed Predictions. - Zhixiang He; Jia-Dong Zhang; Chi-Yin Chow; Ning Li 041; Xiliang Liu; Pengfei Lin; Xiaoli Sun (MDM, 2023)

MiST: Enhancing Traffic Predictions with a Mixing Spatio-temporal Neural Network. - Zhixiang He; Mengzan Gong; Jia-Dong Zhang; Xiliang Liu; Chi-Yin Chow; Ning Li 041; Xiaoli Sun (SIGSPATIAL/GIS, 2024)