Quanliang Liu

According to our database, Quanliang Liu authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.

Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian

ACM Trans. Inf. Syst., March, 2024

2023

Neighbor importance-aware graph collaborative filtering for item recommendation.

Qingxian Wang, Suqiang Wu, Yanan Bai, Quanliang Liu, Xiaoyu Shi

Neurocomputing, September, 2023

Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion.

Francis Ogoke, Quanliang Liu, Olabode Ajenifujah, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen, Amir Barati Farimani

CoRR, 2023

Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach.

Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang

Proceedings of the IEEE International Conference on Web Services, 2023

2021

cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU.

Yanan Bai, Quanliang Liu, Wenyuan Wu, Yong Feng

Frontiers Comput. Neurosci., 2021