Bei Jiang

According to our database1, Bei Jiang authored at least 37 papers between 2016 and 2024.

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Bibliography

2024
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis.
Comput. Stat., June, 2024

Fast Fusion Clustering via Double Random Projection.
Entropy, May, 2024

GHGPR-PPIS: A graph convolutional network for identifying protein-protein interaction site using heat kernel with Generalized PageRank techniques and edge self-attention feature processing block.
Comput. Biol. Medicine, January, 2024

MMDTA: A Multimodal Deep Model for Drug-Target Affinity with a Hybrid Fusion Strategy.
J. Chem. Inf. Model., 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Analysis of Differentially Private Synthetic Data: A Measurement Error Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Ultrahigh gain hot-electron tunneling transistor approaching the collection limit.
Sci. China Inf. Sci., June, 2023

Optimal Smooth Approximation for Quantile Matrix Factorization.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Gaussian Differential Privacy on Riemannian Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Rapid Repurposing of Novel Combination Drugs for the Treatment of Heart Failure via a Computationally Guided Network Screening Approach.
J. Chem. Inf. Model., 2022

Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation.
Frontiers Big Data, 2022

Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach.
Entropy, 2022

Class Interference of Deep Neural Networks.
CoRR, 2022

How Does Value Distribution in Distributional Reinforcement Learning Help Optimization?
CoRR, 2022

Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning.
CoRR, 2022

Distributional Reinforcement Learning via Sinkhorn Iterations.
CoRR, 2022

Conformalized Fairness via Quantile Regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Similarity Embedding Networks for Robust Human Activity Recognition.
ACM Trans. Knowl. Discov. Data, 2021

Advanced algorithms for penalized quantile and composite quantile regression.
Comput. Stat., 2021

Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm.
CoRR, 2021

Meta-HAR: Federated Representation Learning for Human Activity Recognition.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions.
Entropy, 2020

2019
Sparse wavelet estimation in quantile regression with multiple functional predictors.
Comput. Stat. Data Anal., 2019

M-estimation in Low-Rank Matrix Factorization: A General Framework.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification.
CoRR, 2018

Personal Identification Based on Brain Networks of EEG Signals.
Int. J. Appl. Math. Comput. Sci., 2018

2017
Assessment of driving fatigue based on intra/inter-region phase synchronization.
Neurocomputing, 2017

Task-Free Brainprint Recognition Based on Degree of Brain Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
A New EEG Signal Processing Method Based on Low-Rank and Sparse Decomposition.
Proceedings of the Cognitive Systems and Signal Processing, 2016


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