Link prediction by exploiting network formation games in exchangeable graphs. - Liqiang Wang; Yafang Wang; Bin Liu 022; Lirong He; Shijun Liu; Gerard de Melo; Zenglin Xu (IJCNN, 2017)

Stochastic Sequential Neural Networks with Structured Inference. - Hao Liu; Haoli Bai; Lirong He; Zenglin Xu (CoRR, 2017)

Structured Inference for Recurrent Hidden Semi-markov Model. - Hao Liu; Lirong He; Haoli Bai; Bo Dai 001; Kun Bai; Zenglin Xu (IJCAI, 2018)

Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition. - Lirong He; Bin Liu 022; Guangxi Li; Yongpan Sheng; Yafang Wang; Zenglin Xu (Cogn. Comput., 2018)

NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition. - Bin Liu 022; Lirong He; Yingming Li; Shandian Zhe; Zenglin Xu (Cogn. Comput., 2018)

Deep Minimax Probability Machine. - Lirong He; Ziyi Guo; Kaizhu Huang; Zenglin Xu (ICDM Workshops, 2019)

Mutual Information Gradient Estimation for Representation Learning. - Liangjian Wen; Yiji Zhou; Lirong He; Mingyuan Zhou; Zenglin Xu (ICLR, 2020)

ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. - Qingzhong Ai; Lirong He; Shiyu Liu; Zenglin Xu (NeurIPS, 2021)

ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. - Qingzhong Ai; Lirong He; Liangjian Wen; Shiyu Liu; Zenglin Xu (CoRR, 2021)

Gradient estimation of information measures in deep learning. - Liangjian Wen; Haoli Bai; Lirong He; Yiji Zhou; Mingyuan Zhou; Zenglin Xu (Knowl. Based Syst., 2021)

Generative Oversampling for Imbalanced Data via Majority-Guided VAE. - Qingzhong Ai; Pengyun Wang; Lirong He; Liangjian Wen; Lujia Pan; Zenglin Xu (AISTATS, 2023)

TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context. - Jinze Sun; Yongpan Sheng; Ling Zhan; Lirong He (ICONIP (5), 2023)

Edge enhancement improves adversarial robustness in image classification. - Lirong He; Qingzhong Ai; Yuqing Lei; Lili Pan 001; Yazhou Ren 001; Zenglin Xu (Neurocomputing, 2023)

Stein Variational Gradient Descent with Multiple Kernels. - Qingzhong Ai; Shiyu Liu; Lirong He; Zenglin Xu (Cogn. Comput., 2023)

Boosting adversarial robustness via self-paced adversarial training. - Lirong He; Qingzhong Ai; Xincheng Yang; Yazhou Ren 001; Qifan Wang 001; Zenglin Xu (Neural Networks, 2023)

TKGR-GPRSCL: Enhance Temporal Knowledge Graph Reasoning with Graph Structure-Aware Path Representation and Supervised Contrastive Learning. - Lizhu Xiong; Yongpan Sheng; Lirong He (NLPCC (2), 2024)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Improving Temporal Knowledge Graph Extrapolation Reasoning. - Jinze Sun; Yongpan Sheng; Lirong He (CoRR, 2024)

Spectral Superresolution Using Transformer with Convolutional Spectral Self-Attention. - Xiaomei Liao; Lirong He; Jiayou Mao; Meng Xu (Remote. Sens., 2024)

FeaLearner: A Novel Framework of Self-Adaptive Feature Learning and Selection for Suicide Risk Detection from Users' Social Media Posts. - Xianming Zhang; Yongpan Sheng; Lirong He; Ming Liu; Xiangwei Lai (ADMA (2), 2025)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning. - Jinze Sun; Yongpan Sheng; Lirong He; Yongbin Qin; Ming Liu; Tao Jia (COLING Workshops, 2025)