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Quanliang Liu
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2020 – today
- 2024
- [j4]Xiaoyu Shi
, Quanliang Liu
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. 42(2): 52:1-52:30 (2024) - [j3]Xiaoyu Shi
Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems. IEEE Trans. Serv. Comput. 17(3): 1029-1043 (2024) - [c2]Chongjun Xia, Xiaoyu Shi, Hong Xie, Quanliang Liu, Mingsheng Shang:
Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation. ICWS 2024: 300-309 - [i2]Quanliang Liu, Maciej P. Polak, So Yeon Kim, MD Al Amin Shuvo, Hrishikesh Shridhar Deodhar, Jeongsoo Han, Dane Morgan, Hyunseok Oh:
Beyond designer's knowledge: Generating materials design hypotheses via large language models. CoRR abs/2409.06756 (2024) - 2023
- [j2]Qingxian Wang, Suqiang Wu, Yanan Bai, Quanliang Liu, Xiaoyu Shi:
Neighbor importance-aware graph collaborative filtering for item recommendation. Neurocomputing 549: 126429 (2023) - [c1]Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang:
Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. ICWS 2023: 118-123 - [i1]Francis Ogoke, Quanliang Liu, Olabode Ajenifujah, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion. CoRR abs/2311.16168 (2023) - 2021
- [j1]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: 799977 (2021)
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