Bing-Yi Jing

Orcid: 0000-0002-8876-1570

According to our database¹, Bing-Yi Jing authored at least 35 papers between 2010 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2025

Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score.

[BibT_eX]

[DOI]

CoRR, May, 2025

Exploring Imbalanced Annotations for Effective In-Context Learning.

[BibT_eX]

[DOI]

CoRR, February, 2025

Parametric Scaling Law of Tuning Bias in Conformal Prediction.

[BibT_eX]

[DOI]

CoRR, February, 2025

Understanding asymptotic consistency and its unique advantages in large sample statistical inference.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2025

RITD: Real-time industrial text detection with boundary- and pixel-aware modules.

[BibT_eX]

[DOI]

Displays, 2025

Fine-tuning can Help Detect Pretraining Data from Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring Learning Complexity for Efficient Downstream Dataset Pruning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

[BibT_eX]

[DOI]

Bioinform., February, 2024

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

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., January, 2024

Prior-DualGAN: Rain rendering from coarse to fine.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2024

Two-way Node Popularity Model for Directed and Bipartite Networks.

[BibT_eX]

[DOI]

CoRR, 2024

ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Learning Complexity for Downstream Data Pruning.

[BibT_eX]

[DOI]

CoRR, 2024

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Displays, September, 2023

Grouped spatial autoregressive model.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2023

Data Upcycling Knowledge Distillation for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Wenjia Wang

Bing-Yi Jing

J. Mach. Learn. Res., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

Subsampling Spectral Clustering for Large-Scale Social Networks.

[BibT_eX]

[DOI]

CoRR, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

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

[BibT_eX]

[DOI]

Ting Li

Xianshi Yu

Bing-Yi Jing

CoRR, 2019

2015

Feature subset selection using naive Bayes for text classification.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Regularized maximum correntropy machine.

[BibT_eX]

[DOI]

Neurocomputing, 2015

2012

A Bayesian feature selection paradigm for text classification.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2012

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

[BibT_eX]

[DOI]

Bioinform., 2012

2010

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

[BibT_eX]

[DOI]

Binghui Liu

Jianhua Guo

Bing-Yi Jing

Artif. Intell., 2010

Bing-Yi Jing

Timeline

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On csauthors.net:

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