Lirong He

23 papers A* 3A 1B 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning.
COLING Workshops
Jinze Sun, Yongpan Sheng, Lirong He, Yongbin Qin, Ming Liu, Tao Jia
2025 — conf
FeaLearner: A Novel Framework of Self-Adaptive Feature Learning and Selection for Suicide Risk Detection from Users' Social Media Posts.
ADMA (2)
Xianming Zhang, Yongpan Sheng, Lirong He, Ming Liu, Xiangwei Lai
2024 J jnl
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Improving Temporal Knowledge Graph Extrapolation Reasoning.
CoRR
Jinze Sun, Yongpan Sheng, Lirong He
2024 J jnl
Spectral Superresolution Using Transformer with Convolutional Spectral Self-Attention.
Remote. Sens.
Xiaomei Liao, Lirong He, Jiayou Mao, Meng Xu
2024 — conf
TKGR-GPRSCL: Enhance Temporal Knowledge Graph Reasoning with Graph Structure-Aware Path Representation and Supervised Contrastive Learning.
NLPCC (2)
Lizhu Xiong, Yongpan Sheng, Lirong He
2023 J jnl
Boosting adversarial robustness via self-paced adversarial training.
Neural Networks
Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu
2023 J jnl
Edge enhancement improves adversarial robustness in image classification.
Neurocomputing
Lirong He, Qingzhong Ai, Yuqing Lei, Lili Pan, Yazhou Ren, Zenglin Xu
2023 A conf
Generative Oversampling for Imbalanced Data via Majority-Guided VAE.
AISTATS
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2023 J jnl
Generative Oversampling for Imbalanced Data via Majority-Guided VAE.
CoRR
Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu
2023 J jnl
Stein Variational Gradient Descent with Multiple Kernels.
Cogn. Comput.
Qingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu
2023 — conf
TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context.
ICONIP (5)
Jinze Sun, Yongpan Sheng, Ling Zhan, Lirong He
2021 A* conf
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.
NeurIPS
Qingzhong Ai, Lirong He, Shiyu Liu, Zenglin Xu
2021 J jnl
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.
CoRR
Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu
2021 J jnl
Gradient estimation of information measures in deep learning.
Knowl. Based Syst.
Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
2020 A* conf
Mutual Information Gradient Estimation for Representation Learning.
ICLR
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2020 J jnl
Mutual Information Gradient Estimation for Representation Learning.
CoRR
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2019 — conf
Deep Minimax Probability Machine.
ICDM Workshops
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
2019 J jnl
Deep Minimax Probability Machine.
CoRR
Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
2018 J jnl
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition.
Cogn. Comput.
Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu
2018 J jnl
NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition.
Cogn. Comput.
Bin Liu, Lirong He, Yingming Li, Shandian Zhe, Zenglin Xu
2018 A* conf
Structured Inference for Recurrent Hidden Semi-markov Model.
IJCAI
Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
2017 B conf
Link prediction by exploiting network formation games in exchangeable graphs.
IJCNN
Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu
2017 J jnl
Stochastic Sequential Neural Networks with Structured Inference.
CoRR
Hao Liu, Haoli Bai, Lirong He, Zenglin Xu