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Publication search results
found 17 matches
- 2024
- Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu:
Correction to: Learning to bid and rank together in recommendation systems. Mach. Learn. 113(3): 1509 (2024) - Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu:
Learning to bid and rank together in recommendation systems. Mach. Learn. 113(5): 2559-2573 (2024) - Zheqing Li
, Chunyang Zhao
, Yi-Hsun Hsieh
, Qiang Li
, Fred C. Lee
:
Partial Fluctuation Power Control of Resonant Converter in Solid-State Transformer. IEEE Trans. Ind. Electron. 71(10): 12358-12367 (2024) - 2023
- Dehui Xiang
, Shenshen Yan, Ying Guan, Mulin Cai, Zheqing Li, Haiyun Liu, Xinjian Chen
, Bei Tian:
Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation. IEEE Trans. Medical Imaging 42(3): 713-725 (2023) - Yu Liu, Tong Li, Zheqing Huang, Zhen Yang:
BARA: A Dynamic State-based Serious Game for Teaching Requirements Elicitation. SEET@ICSE 2023: 141-152 - Ruiyang Xu
, Jalaj Bhandari
, Dmytro Korenkevych
, Fan Liu
, Yuchen He
, Alex Nikulkov
, Zheqing Zhu
:
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning. RecSys 2023: 955-962 - Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych, Fan Liu, Yuchen He, Alex Nikulkov, Zheqing Zhu:
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning. CoRR abs/2305.13747 (2023) - Xingquan Li
, Simin Tao, Zengrong Huang, Shijian Chen, Zhisheng Zeng, Liwei Ni, Zhipeng Huang, Chunan Zhuang, Hongxi Wu, Weiguo Li, Xueyan Zhao, He Liu, Shuaiying Long, Wei He, Bojun Liu, Sifeng Gan, Zihao Yu, Tong Liu, Yuchi Miao, Zhiyuan Yan, Hao Wang, Jie Zhao, Yifan Li, Ruizhi Liu, Xiaoze Lin, Bo Yang, Zhen Xue, Fuxing Huang, Zonglin Yang, Zhenggang Wu, Jiangkao Li, Yuezuo Liu, Ming Peng, Yihang Qiu, Wenrui Wu, Zheqing Shao, Kai Mo, Jikang Liu, Yuyao Liang, Mingzhe Zhang, Zhuang Ma, Xiang Cong, Daxiang Huang, Guojie Luo, Huawei Li, Haihua Shen, Mingyu Chen, Dongbo Bu, Wenxing Zhu, Ye Cai, Xiaoming Xiong, Ying Jiang, Yi Heng, Peng Zhang, Biwei Xie, Yungang Bao:
iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Library. CoRR abs/2308.01857 (2023) - Zheqing Zhu, Yueyang Liu, Xu Kuang, Benjamin Van Roy:
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling. CoRR abs/2310.07786 (2023) - Dmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu:
Offline Reinforcement Learning for Optimizing Production Bidding Policies. CoRR abs/2310.09426 (2023) - Zheqing Zhu, Rodrigo de Salvo Braz, Jalaj Bhandari, Daniel Jiang, Yi Wan, Yonathan Efroni, Liyuan Wang, Ruiyang Xu, Hongbo Guo, Alex Nikulkov, Dmytro Korenkevych, Ürün Dogan, Frank Cheng, Zheng Wu, Wanqiao Xu:
Pearl: A Production-ready Reinforcement Learning Agent. CoRR abs/2312.03814 (2023) - 2022
- Zheqing Huang, Qi Huang, Yaxiong Yu
, Yu Li, Qiang Zhou
:
A Comparative Study of Models for Heat Transfer in Bidisperse Gas-Solid Systems via CFD-DEM Simulations. Axioms 11(4): 179 (2022) - 2021
- Yujuan Shang, Kui Jiang, Lei Wang, Zheqing Zhang, Siwei Zhou, Yun Liu, Jiancheng Dong, Huiqun Wu
:
The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers. BMC Medical Informatics Decis. Mak. 21-S(2): 57 (2021) - 2019
- Li Yan, Zheqing Zhang, Dan Yang:
Temporal RDF(S) Data Storage and Query with HBase. J. Comput. Inf. Technol. 27(4): 17-30 (2019) - Xuanwu Yue, Xinhuan Shu, Xinyu Zhu, Xinnan Du, Zheqing Yu, Dimitrios Papadopoulos, Siyuan Liu:
BitExTract: Interactive Visualization for Extracting Bitcoin Exchange Intelligence. IEEE Trans. Vis. Comput. Graph. 25(1): 162-171 (2019) - 2018
- Gege Zhang, Chao, Zheqing Li, Weidong Zhang:
A New PSOGSA Inspired Convolutional Echo State Network for Long-term Health Status Prediction. ROBIO 2018: 1298-1303 - 2017
- Zheqing Zhu, Jian-Guo Liu, Lei Li:
A Modified Levy Jump-Diffusion Model Based on Market Sentiment Memory for Online Jump Prediction. CoRR abs/1709.03611 (2017)
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