Lirong He

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Imbalanced Data

Gradient Estimation

Edge Enhancement

Top Venues

Publications

Xiaomei Liao, Lirong He, Jiayou Mao, Meng Xu
Spectral Superresolution Using Transformer with Convolutional Spectral Self-Attention. Remote. Sens. 16 (10) (2024)
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR (2023)
Qingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu
Stein Variational Gradient Descent with Multiple Kernels. Cogn. Comput. 15 (2) (2023)
Lirong He, Qingzhong Ai, Yuqing Lei, Lili Pan, Yazhou Ren, Zenglin Xu
Edge enhancement improves adversarial robustness in image classification. Neurocomputing 518 (2023)
Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu
Boosting adversarial robustness via self-paced adversarial training. Neural Networks 167 (2023)
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS (2023)
Jinze Sun, Yongpan Sheng, Ling Zhan, Lirong He
TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context. ICONIP (5) (2023)
Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
Gradient estimation of information measures in deep learning. Knowl. Based Syst. 224 (2021)
Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. CoRR (2021)
Qingzhong Ai, Lirong He, Shiyu Liu, Zenglin Xu
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. NeurIPS (2021)
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
Mutual Information Gradient Estimation for Representation Learning. CoRR (2020)
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
Mutual Information Gradient Estimation for Representation Learning. ICLR (2020)
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
Deep Minimax Probability Machine. ICDM Workshops (2019)
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
Deep Minimax Probability Machine. CoRR (2019)
Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
Structured Inference for Recurrent Hidden Semi-markov Model. IJCAI (2018)
Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition. Cogn. Comput. 10 (6) (2018)
Bin Liu, Lirong He, Yingming Li, Shandian Zhe, Zenglin Xu
NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition. Cogn. Comput. 10 (6) (2018)
Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu
Link prediction by exploiting network formation games in exchangeable graphs. IJCNN (2017)
Hao Liu, Haoli Bai, Lirong He, Zenglin Xu
Stochastic Sequential Neural Networks with Structured Inference. CoRR (2017)