Bing-Yi Jing

According to our database, Bing-Yi Jing authored at least 20 papers between 2010 and 2024.

Collaborative distances:

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

2024

PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction.

Kexin Shi, Yuanpeng Xiong, Yu Wang, Yifan Deng, Wenjia Wang, Bingyi Jing, Xin Gao

Bioinform., February, 2024

Subsampling spectral clustering for stochastic block models in large-scale networks.

Jiayi Deng, Danyang Huang, Yi Ding, Yingqiu Zhu, Bingyi Jing, Bo Zhang

Comput. Stat. Data Anal., January, 2024

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems.

Kexin Shi, Jing Zhang, Linjiajie Fang, Wenjia Wang, Bingyi Jing

CoRR, 2024

Exploring Learning Complexity for Downstream Data Pruning.

Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei

CoRR, 2024

2023

High-Dimensional Volatility Matrix Estimation with Cross-Sectional Dependent and Heavy-Tailed Microstructural Noise.

Wanwan Liang, Ben Wu, Xinyan Fan, Bingyi Jing, Bo Zhang

J. Syst. Sci. Complex., October, 2023

DAGL-Faster: Domain adaptive faster r-cnn for vehicle object detection in rainy and foggy weather conditions.

Mingdi Hu, Yi Wu, Yize Yang, Jiulun Fan, Bingyi Jing

Displays, September, 2023

Grouped spatial autoregressive model.

Danyang Huang, Wei Hu, Bingyi Jing, Bo Zhang

Comput. Stat. Data Anal., 2023

Data Upcycling Knowledge Distillation for Image Super-Resolution.

Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang

CoRR, 2023

APAC: Authorized Probability-controlled Actor-Critic For Offline Reinforcement Learning.

Jing Zhang, Chi Zhang, Wenjia Wang, Bing-Yi Jing

CoRR, 2023

Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning.

Jing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression.

Wenjia Wang, Bing-Yi Jing

J. Mach. Learn. Res., 2022

Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems.

Kexin Shi, Yun Zhang, Bingyi Jing, Wenjia Wang

CoRR, 2022

2021

Subsampling Spectral Clustering for Large-Scale Social Networks.

Jiayi Deng, Yi Ding, Yingqiu Zhu, Danyang Huang, Bingyi Jing, Bo Zhang

CoRR, 2021

2020

Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition.

Bing-Yi Jing, Ting Li, Zhongyuan Lyu, Dong Xia

CoRR, 2020

2019

Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient.

Ting Li, Xianshi Yu, Bing-Yi Jing

CoRR, 2019

2015

Feature subset selection using naive Bayes for text classification.

Guozhong Feng, Jianhua Guo, Bing-Yi Jing, Tieli Sun

Pattern Recognit. Lett., 2015

Regularized maximum correntropy machine.

Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing, Xin Gao

Neurocomputing, 2015

2012

A Bayesian feature selection paradigm for text classification.

Guozhong Feng, Jianhua Guo, Bing-Yi Jing, Lizhu Hao

Inf. Process. Manag., 2012

WaVPeak: picking NMR peaks through wavelet-based smoothing and volume-based filtering.

Zhi Liu, Ahmed Abbas, Bing-Yi Jing, Xin Gao

Bioinform., 2012

2010

A note on minimal d-separation trees for structural learning.

Binghui Liu, Jianhua Guo, Bing-Yi Jing

Artif. Intell., 2010