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2020 – today
- 2024
[j11]Kexin Shi
, Yuanpeng Xiong, Yu Wang, Yifan Deng, Wenjia Wang, Bingyi Jing, Xin Gao:
PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction. Bioinform. 40(2) (2024)- [j10]Jiayi Deng, Danyang Huang, Yi Ding, Yingqiu Zhu, Bingyi Jing, Bo Zhang:
Subsampling spectral clustering for stochastic block models in large-scale networks. Comput. Stat. Data Anal. 189: 107835 (2024) - [i10]Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei:
Exploring Learning Complexity for Downstream Data Pruning. CoRR abs/2402.05356 (2024) - [i9]Kexin Shi, Jing Zhang, Linjiajie Fang, Wenjia Wang, Bingyi Jing:
Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems. CoRR abs/2403.19276 (2024) - [i8]Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu:
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. CoRR abs/2404.02573 (2024) - 2023
- [j9]Danyang Huang, Wei Hu, Bingyi Jing, Bo Zhang:
Grouped spatial autoregressive model. Comput. Stat. Data Anal. 178: 107601 (2023) - [j8]Mingdi Hu, Yi Wu, Yize Yang, Jiulun Fan, Bingyi Jing:
DAGL-Faster: Domain adaptive faster r-cnn for vehicle object detection in rainy and foggy weather conditions. Displays 79: 102484 (2023) - [j7]Wanwan Liang, Ben Wu, Xinyan Fan, Bingyi Jing, Bo Zhang:
High-Dimensional Volatility Matrix Estimation with Cross-Sectional Dependent and Heavy-Tailed Microstructural Noise. J. Syst. Sci. Complex. 36(5): 2125-2154 (2023) - [c1]Jing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing:
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning. NeurIPS 2023 - [i7]Jing Zhang, Chi Zhang, Wenjia Wang, Bing-Yi Jing:
APAC: Authorized Probability-controlled Actor-Critic For Offline Reinforcement Learning. CoRR abs/2301.12130 (2023) - [i6]Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang:
Data Upcycling Knowledge Distillation for Image Super-Resolution. CoRR abs/2309.14162 (2023) - 2022
- [j6]Wenjia Wang, Bing-Yi Jing:
Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression. J. Mach. Learn. Res. 23: 193:1-193:67 (2022) - [i5]Kexin Shi, Yun Zhang, Bingyi Jing, Wenjia Wang:
Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems. CoRR abs/2211.13912 (2022) - 2021
- [i4]Jiayi Deng, Yi Ding, Yingqiu Zhu, Danyang Huang, Bingyi Jing, Bo Zhang:
Subsampling Spectral Clustering for Large-Scale Social Networks. CoRR abs/2110.13613 (2021) - 2020
- [i3]Bing-Yi Jing, Ting Li, Zhongyuan Lyu, Dong Xia:
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition. CoRR abs/2002.04457 (2020)
2010 – 2019
- 2019
- [i2]Ting Li, Xianshi Yu, Bing-Yi Jing:
Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient. CoRR abs/1908.00523 (2019) - 2015
- [j5]Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing, Xin Gao:
Regularized maximum correntropy machine. Neurocomputing 160: 85-92 (2015) - [j4]Guozhong Feng, Jianhua Guo, Bing-Yi Jing, Tieli Sun:
Feature subset selection using naive Bayes for text classification. Pattern Recognit. Lett. 65: 109-115 (2015) - [i1]Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing, Xin Gao:
Regularized maximum correntropy machine. CoRR abs/1501.04282 (2015) - 2012
- [j3]Zhi Liu, Ahmed Abbas, Bing-Yi Jing, Xin Gao:
WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering. Bioinform. 28(7): 914-920 (2012) - [j2]Guozhong Feng, Jianhua Guo, Bing-Yi Jing, Lizhu Hao:
A Bayesian feature selection paradigm for text classification. Inf. Process. Manag. 48(2): 283-302 (2012) - 2010
- [j1]Binghui Liu, Jianhua Guo, Bing-Yi Jing:
A note on minimal d-separation trees for structural learning. Artif. Intell. 174(5-6): 442-448 (2010)
Coauthor Index
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last updated on 2024-05-14 23:13 CEST by the dblp team
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