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2020 – today
- 2023
[c7]Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem
, Zhongyuan Lai:
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. AAAI 2023: 844-853- [c6]Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhongyuan Lai:
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. AAAI 2023: 12049-12057 - [c5]Tangwei Ye, Liang Hu, Qi Zhang, Zhongyuan Lai, Usman Naseem, Dora D. Liu:
Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. WWW 2023: 1172-1180 - 2022
- [j1]Wenjuan Ren, Dora D. Liu, Qian Li, Usman Naseem:
Newly-Published Paper Recommendation With a Joint Multi-Relational Model. IEEE Access 10: 123995-124001 (2022) - [c4]Dora D. Liu, Zhongyuan Lai, Usman Naseem:
A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model. DSAA 2022: 1-9 - [c3]Shaina Raza, Syed Raza Bashir, Usman Naseem, Dora D. Liu, Deepak John Reji:
Incorporating Accuracy and Diversity in a News Recommender System. DSAA 2022: 1-10 - [c2]Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu:
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI 2022: 1651-1657 - [i1]Shaina Raza, Deepak John Reji, Dora D. Liu, Syed Raza Bashir, Usman Naseem:
An Approach to Ensure Fairness in News Articles. CoRR abs/2207.03938 (2022) - 2021
- [c1]Shaina Raza, Syed Raza Bashir, Dora D. Liu, Usman Naseem:
Balanced News Neural Network for a News Recommender System. ICDM (Workshops) 2021: 65-74
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