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Bei Jiang
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2020 – today
- 2024
- [j14]Xin Zeng
, Fan-Fang Meng, Xin Li, Kai-Yang Zhong
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: 107683 (2024) - [j13]Wenxing Guo, Xueying Zhang, Bei Jiang, Linglong Kong
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis. Comput. Stat. 39(4): 2323-2341 (2024) - [j12]Hongni Wang, Na Li, Yanqiu Zhou, Jingxin Yan, Bei Jiang, Linglong Kong
Fast Fusion Clustering via Double Random Projection. Entropy 26(5): 376 (2024) - [j11]Kai-Yang Zhong, Meng-Liang Wen, Fan-Fang Meng, Xin Li, Bei Jiang, Xin Zeng
MMDTA: A Multimodal Deep Model for Drug-Target Affinity with a Hybrid Fusion Strategy. J. Chem. Inf. Model. 64(7): 2878-2888 (2024) - [c16]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: 21206-21213 - [c15]Shanshan Zhao, Wenhai Cui
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility. AAAI 2024: 21815-21822 - [c14]Yafei Wang, Bo Pan, Mei Li, Jianya Lu, Lingchen Kong, Bei Jiang, Linglong Kong:
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data. ICML 2024 - [c13]Enze Shi, Lei Ding, Linglong Kong, Bei Jiang:
Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations. NAACL-HLT 2024: 5960-5975 - [i14]Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - 2023
- [j10]Jun Lin, Pengfei Luo, Xinpei Duan, Wujun Zhang, Chao Ma
Ultrahigh gain hot-electron tunneling transistor approaching the collection limit. Sci. China Inf. Sci. 66(6) (2023) - [c12]Xing Chen
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. AAAI 2023: 7078-7086 - [c11]Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang:
Gaussian Differential Privacy on Riemannian Manifolds. NeurIPS 2023 - [c10]Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu:
Optimal Smooth Approximation for Quantile Matrix Factorization. SDM 2023: 595-603 - [i13]Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang:
Gaussian Differential Privacy on Riemannian Manifolds. CoRR abs/2311.10101 (2023) - 2022
- [j9]Matthew Pietrosanu, Linglong Kong
Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach. Entropy 24(2): 232 (2022) - [j8]Shenggang Hu, Jabir Alshehabi Al-Ani
Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. Frontiers Big Data 5: 805713 (2022) - [j7]Yunyuan Huang
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): 5223-5232 (2022) - [c9]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: 3859-3867 - [c8]Lei Ding
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. AAAI 2022: 11864-11872 - [c7]Yi Liu, Ke Sun, Bei Jiang, Linglong Kong:
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy. NeurIPS 2022 - [c6]Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang:
Conformalized Fairness via Quantile Regression. NeurIPS 2022 - [i12]Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong:
Distributional Reinforcement Learning via Sinkhorn Iterations. CoRR abs/2202.00769 (2022) - [i11]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 abs/2205.10047 (2022) - [i10]Ke Sun, Bei Jiang, Linglong Kong:
How Does Value Distribution in Distributional Reinforcement Learning Help Optimization? CoRR abs/2209.14513 (2022) - [i9]Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang:
Conformalized Fairness via Quantile Regression. CoRR abs/2210.02015 (2022) - [i8]Yi Liu, Ke Sun, Linglong Kong, Bei Jiang:
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy. CoRR abs/2210.09269 (2022) - [i7]Dongcui Diao, Hengshuai Yao, Bei Jiang:
Class Interference of Deep Neural Networks. CoRR abs/2211.01370 (2022) - 2021
- [j6]Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang, Di Niu:
Advanced algorithms for penalized quantile and composite quantile regression. Comput. Stat. 36(1): 333-346 (2021) - [j5]Chenglin Li
Similarity Embedding Networks for Robust Human Activity Recognition. ACM Trans. Knowl. Discov. Data 15(6): 98:1-98:17 (2021) - [c5]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: 3732-3743 - [c4]Chenglin Li
Meta-HAR: Federated Representation Learning for Human Activity Recognition. WWW 2021: 912-922 - [i6]Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang:
Meta-HAR: Federated Representation Learning for Human Activity Recognition. CoRR abs/2106.00615 (2021) - [i5]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 abs/2106.15283 (2021) - [i4]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 abs/2110.03155 (2021) - [i3]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 abs/2110.08896 (2021) - [i2]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 abs/2112.05194 (2021) - 2020
- [j4]Tong Su, Yafei Wang, Yi Liu, William G. Branton
Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions. Entropy 22(11): 1257 (2020)
2010 – 2019
- 2019
- [j3]Dengdeng Yu
Sparse wavelet estimation in quantile regression with multiple functional predictors. Comput. Stat. Data Anal. 136: 12-29 (2019) - [c3]Wei Tu, Peng Liu
M-estimation in Low-Rank Matrix Factorization: A General Framework. ICDM 2019: 568-577 - 2018
- [j2]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): 745-757 (2018) - [i1]Donglai Zhu, Hengshuai Yao, Bei Jiang, Peng Yu:
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification. CoRR abs/1804.10690 (2018) - 2017
- [j1]Wanzeng Kong
Assessment of driving fatigue based on intra/inter-region phase synchronization. Neurocomputing 219: 474-482 (2017) - [c2]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: 709-717 - 2016
- [c1]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: 556-564
Coauthor Index
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last updated on 2024-10-22 21:16 CEST by the dblp team
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