Balanced News Neural Network for a News Recommender System. - Shaina Raza; Syed Raza Bashir; Dora D. Liu; Usman Naseem (ICDM (Workshops), 2021)

A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model. - Dora D. Liu; Zhongyuan Lai; Usman Naseem (DSAA, 2022)

Incorporating Accuracy and Diversity in a News Recommender System. - Shaina Raza; Syed Raza Bashir; Usman Naseem; Dora D. Liu; Deepak John Reji (DSAA, 2022)

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. - Qi Zhang 020; Liang Hu 004; Longbing Cao; Chongyang Shi 001; Shoujin Wang; Dora D. Liu (IJCAI, 2022)

Newly-Published Paper Recommendation With a Joint Multi-Relational Model. - Wenjuan Ren; Dora D. Liu; Qian Li; Usman Naseem (IEEE Access, 2022)

An Approach to Ensure Fairness in News Articles. - Shaina Raza; Deepak John Reji; Dora D. Liu; Syed Raza Bashir; Usman Naseem (CoRR, 2022)

Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. - Liang Hu 004; Dora D. Liu; Qi Zhang 020; Usman Naseem; Zhongyuan Lai (AAAI, 2023)

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. - Dora D. Liu; Liang Hu 004; Qi Zhang 020; Tangwei Ye; Usman Naseem; Zhongyuan Lai (AAAI, 2023)

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. - Tangwei Ye; Liang Hu 004; Qi Zhang 020; Zhongyuan Lai; Usman Naseem; Dora D. Liu (WWW, 2023)

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. - Zhihao Sui; Liang Hu 004; Jian Cao 001; Dora D. Liu; Usman Naseem; Zhongyuan Lai; Qi Zhang 020 (CoRR, 2025)