Bei Jiang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Quantile Regression

Riemannian Manifolds

Reinforcement Learning

Top Venues

Publications

Shanshan Zhao, Wenhai Cui, Bei Jiang, Linglong Kong, Xiaodong Yan
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility. AAAI (2024)
Wenxing Guo, Xueying Zhang, Bei Jiang, Linglong Kong, Yaozhong Hu
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis. Comput. Stat. 39 (4) (2024)
Yangdi Jiang, Yi Liu, Xiaodong Yan, Anne-Sophie Charest, Linglong Kong, Bei Jiang
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach. AAAI (2024)
Kai-Yang Zhong, Meng-Liang Wen, Fan-Fang Meng, Xin Li, Bei Jiang, Xin Zeng, Yi Li
MMDTA: A Multimodal Deep Model for Drug-Target Affinity with a Hybrid Fusion Strategy. J. Chem. Inf. Model. 64 (7) (2024)
Hongni Wang, Na Li, Yanqiu Zhou, Jingxin Yan, Bei Jiang, Linglong Kong, Xiaodong Yan
Fast Fusion Clustering via Double Random Projection. Entropy 26 (5) (2024)
Enze Shi, Lei Ding, Linglong Kong, Bei Jiang
Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations. NAACL-HLT (2024)
Xin Zeng, Fan-Fang Meng, Xin Li, Kai-Yang Zhong, Bei Jiang, Yi Li
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 168 (2024)
Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang
Gaussian Differential Privacy on Riemannian Manifolds. CoRR (2023)
Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang
Gaussian Differential Privacy on Riemannian Manifolds. NeurIPS (2023)
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. AAAI (2023)
Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu
Optimal Smooth Approximation for Quantile Matrix Factorization. SDM (2023)
Jun Lin, Pengfei Luo, Xinpei Duan, Wujun Zhang, Chao Ma, Tong Bu, Wanhan Su, Bei Jiang, Guoli Li, Xuming Zou, Ting Yu, Lei Liao, Xingqiang Liu
Ultrahigh gain hot-electron tunneling transistor approaching the collection limit. Sci. China Inf. Sci. 66 (6) (2023)
Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong
Distributional Reinforcement Learning via Sinkhorn Iterations. CoRR (2022)
Matthew Pietrosanu, Linglong Kong, Yan Yuan, Rhonda C. Bell, Nicole Letourneau, Bei Jiang
Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach. Entropy 24 (2) (2022)
Shenggang Hu, Jabir Alshehabi Al-Ani, Karen D. Hughes, Nicole Denier, Alla Konnikov, Lei Ding, Jinhan Xie, Yang Hu, Monideepa Tarafdar, Bei Jiang, Linglong Kong, Hongsheng Dai
Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. Frontiers Big Data 5 (2022)
Yunyuan Huang, Jiqun Wang, Jiaqi Liu, Donglei Shi, Xiaokang Li, Manjiong Wang, Taotao Lu, Bei Jiang, Conglong Xia, Houwen Lin, Yixiang Xu, Jian Li
Rapid Repurposing of Novel Combination Drugs for the Treatment of Heart Failure via a Computationally Guided Network Screening Approach. J. Chem. Inf. Model. 62 (21) (2022)
Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. AAAI (2022)
Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
Conformalized Fairness via Quantile Regression. NeurIPS (2022)
Yi Liu, Ke Sun, Bei Jiang, Linglong Kong
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy. NeurIPS (2022)
Yi Liu, Ke Sun, Linglong Kong, Bei Jiang
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy. CoRR (2022)
Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
Conformalized Fairness via Quantile Regression. CoRR (2022)
Ke Sun, Bei Jiang, Linglong Kong
How Does Value Distribution in Distributional Reinforcement Learning Help Optimization? CoRR (2022)
Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang
Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning. CoRR (2022)
Dongcui Diao, Hengshuai Yao, Bei Jiang
Class Interference of Deep Neural Networks. CoRR (2022)
Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. AAAI (2022)
Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang
Similarity Embedding Networks for Robust Human Activity Recognition. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. CoRR (2021)
Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang
Meta-HAR: Federated Representation Learning for Human Activity Recognition. WWW (2021)
Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. NeurIPS (2021)
Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang
Meta-HAR: Federated Representation Learning for Human Activity Recognition. CoRR (2021)
Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang, Di Niu
Advanced algorithms for penalized quantile and composite quantile regression. Comput. Stat. 36 (1) (2021)
Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. CoRR (2021)
Ke Sun, Yingnan Zhao, Yi Liu, Enze Shi, Yafei Wang, Aref Sadeghi, Xiaodong Yan, Bei Jiang, Linglong Kong
Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm. CoRR (2021)
Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang
Similarity Embedding Networks for Robust Human Activity Recognition. CoRR (2021)
Tong Su, Yafei Wang, Yi Liu, William G. Branton, Eugene Asahchop, Christopher Power, Bei Jiang, Linglong Kong, Niansheng Tang
Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions. Entropy 22 (11) (2020)
Dengdeng Yu, Li Zhang, Ivan Mizera, Bei Jiang, Linglong Kong
Sparse wavelet estimation in quantile regression with multiple functional predictors. Comput. Stat. Data Anal. 136 (2019)
Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, Hengshuai Yao
M-estimation in Low-Rank Matrix Factorization: A General Framework. ICDM (2019)
Donglai Zhu, Hengshuai Yao, Bei Jiang, Peng Yu
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification. CoRR (2018)
Wanzeng Kong, Bei Jiang, Qiaonan Fan, Li Zhu, Xuehui Wei
Personal Identification Based on Brain Networks of EEG Signals. Int. J. Appl. Math. Comput. Sci. 28 (4) (2018)
Wanzeng Kong, Qiaonan Fan, Luyun Wang, Bei Jiang, Yong Peng, Yanbin Zhang
Task-Free Brainprint Recognition Based on Degree of Brain Networks. ICONIP (2) (2017)
Wanzeng Kong, Zhanpeng Zhou, Bei Jiang, Fabio Babiloni, Gianluca Borghini
Assessment of driving fatigue based on intra/inter-region phase synchronization. Neurocomputing 219 (2017)
Wanzeng Kong, Yan Liu, Bei Jiang, Guojun Dai, Lin Xu
A New EEG Signal Processing Method Based on Low-Rank and Sparse Decomposition. ICCSIP (2016)