Quanliang Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Recommender Systems

Maximum Entropy

Bregman Divergences

Reinforcement Learning

Top Venues

IEEE Trans. Serv. Comput.

ACM Trans. Inf. Syst.

Frontiers Comput. Neurosci.

Publications

Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. 42 (2) (2024)
Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang
Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems. IEEE Trans. Serv. Comput. 17 (3) (2024)
Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang
Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. ICWS (2023)
Qingxian Wang, Suqiang Wu, Yanan Bai, Quanliang Liu, Xiaoyu Shi
Neighbor importance-aware graph collaborative filtering for item recommendation. Neurocomputing 549 (2023)
Francis Ogoke, Quanliang Liu, Olabode Ajenifujah, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen, Amir Barati Farimani
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion. CoRR (2023)
Yanan Bai, Quanliang Liu, Wenyuan Wu, Yong Feng
cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU. Frontiers Comput. Neurosci. 15 (2021)