Li Liu

49 papers A* 1C 1Journal 32Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
A deep recommendation model based on semantic information and correlation between items.
J. Intell. Inf. Syst.
Jiani Duan, Jun Hu, Fujin Zhong, Li Liu, Qinghua Zhang
2025 — conf
Enhancing Explanations of Graph Neural Networks via Bridging Model-Level and Instance-Level Explainers.
DASFAA (3)
Youmin Zhang, Qun Liu, Guoyin Wang, Lili Yang, Li Liu
2025 J jnl
Learning model-level explanations of graph neural networks via subgraph order embedding space.
Neural Networks
Li Liu, Pengyu Wan, Feiyan Zhang, Youmin Zhang, Qun Liu, Guoyin Wang
2025 J jnl
MHGCL: A multi-modal hypergraph contrastive learning framework for molecular property prediction.
Appl. Soft Comput.
Rui Han, Qun Liu, Xu Gong, Guoyin Wang, Li Liu, Xingping Xian
2024 J jnl
A Knowledge-Driven Self-Supervised Approach for Molecular Generation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Maotao Liu, Yifan Yang, Qun Liu, Li Liu, Guoyin Wang
2024 — conf
APK-MRL: An Adaptive Pre-training Framework with Knowledge-enhanced for Molecular Representation Learning.
BIBM
Xu Gong, Qun Liu, Rui Han, Li Liu, Yike Guo, Guoyin Wang
2024 J jnl
Enhancing graph neural networks for self-explainable modeling: A causal perspective with multi-granularity receptive fields.
Inf. Process. Manag.
Yuan Li, Li Liu, Penggang Chen, Chenglin Zhang, Guoyin Wang
2024 J jnl
GEAR: Learning graph neural network explainer via adjusting gradients.
Knowl. Based Syst.
Youmin Zhang, Qun Liu, Guoyin Wang, William K. Cheung, Li Liu
2024 J jnl
KDDGAN: Knowledge-Guided Explicit Feature Disentanglement for Facial Attribute Editing.
IEEE Trans. Consumer Electron.
Ye Wang, Qianmengke Zhao, Qun Liu, Guoyin Wang, Hong Yu, Li Liu, Jiaxu Leng
2024 J jnl
Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network.
IEEE Trans. Artif. Intell.
Kangjia He, Li Liu, Youmin Zhang, Ye Wang, Qun Liu, Guoyin Wang
2024 J jnl
One-shot knowledge graph completion based on disentangled representation learning.
Neural Comput. Appl.
Youmin Zhang, Lei Sun, Ye Wang, Qun Liu, Li Liu
2024 J jnl
Self-supervised modal optimization transformer for image captioning.
Neural Comput. Appl.
Ye Wang, Daitianxia Li, Qun Liu, Li Liu, Guoyin Wang
2024 J jnl
Towards explaining graph neural networks via preserving prediction ranking and structural dependency.
Inf. Process. Manag.
Youmin Zhang, William K. Cheung, Qun Liu, Guoyin Wang, Lili Yang, Li Liu
2024 J jnl
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning.
IEEE Trans. Knowl. Data Eng.
Li Liu, Penggang Chen, Xin Li, William Kwok-Wai Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2023 J jnl
A Causal Disentangled Multi-Granularity Graph Classification Method.
CoRR
Yuan Li, Li Liu, Penggang Chen, Youmin Zhang, Guoyin Wang
2023 — conf
A Causal Disentangled Multi-granularity Graph Classification Method.
IJCRS
Yuan Li, Li Liu, Penggang Chen, Youmin Zhang, Guoyin Wang
2023 J jnl
Interpreting open-domain dialogue generation by disentangling latent feature representations.
Neural Comput. Appl.
Ye Wang, Jingbo Liao, Hong Yu, Guoyin Wang, Xiaoxia Zhang, Li Liu
2023 J jnl
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
IEEE Trans. Knowl. Data Eng.
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2022 J jnl
Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation.
CoRR
Ye Wang, Jingbo Liao, Hong Yu, Guoyin Wang, Xiaoxia Zhang, Li Liu
2022 — conf
Denoise Network Structure for User Alignment Across Networks via Graph Structure Learning.
DMBD (1)
Li Liu, Chongyang Wang, Youmin Zhang, Ye Wang, Qun Liu, Guoyin Wang
2022 J jnl
EGNN: Constructing explainable graph neural networks via knowledge distillation.
Knowl. Based Syst.
Yuan Li, Li Liu, Guoyin Wang, Yong Du, Penggang Chen
2022 — conf
HierMRL: Hierarchical Structure-Aware Molecular Representation Learning for Property Prediction.
BIBM
Maotao Liu, Yifan Yang, Xu Gong, Li Liu, Qun Liu
2022 J jnl
Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio.
Remote. Sens.
Zhijie Zhang, Li Liu, Baomin Wang, Haobo Tan, Changxing Lan, Ye Wang, Pak-Wai Chan
2022 J jnl
LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks.
Knowl. Based Syst.
Li Liu, Yong Du, Ye Wang, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2022 J jnl
MGRL: attributed multiplex heterogeneous network representation learning based on multi-granularity information fusion.
Int. J. Mach. Learn. Cybern.
Ke Chen, Guoyin Wang, Shun Fu, Jun Hu, Li Liu
2022 J jnl
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning.
CoRR
Li Liu, Penggang Chen, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2021 J jnl
DSPNet: A low computational-cost network for human pose estimation.
Neurocomputing
Fujin Zhong, Mingyang Li, Kun Zhang, Jun Hu, Li Liu
2021 J jnl
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
CoRR
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2021 — conf
User Alignment across Dynamic Social Networks based on Heuristic Algorithm.
ICSAI
Jiawei He, Li Liu, Zihan Yan, Zhiqiang Wang, Min Xiao, Youmin Zhang
2020 J jnl
Deep multi-granularity graph embedding for user identity linkage across social networks.
Knowl. Based Syst.
Shun Fu, Guoyin Wang, Shuyin Xia, Li Liu
2020 J jnl
Structural Representation Learning for User Alignment Across Social Networks.
IEEE Trans. Knowl. Data Eng.
Li Liu, Xin Li, William K. Cheung, Lejian Liao
2019 — conf
A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks.
IJCRS
Shun Fu, Guoyin Wang, Shuyin Xia, Li Liu
2019 J jnl
ABNE: An Attention-Based Network Embedding for User Alignment Across Social Networks.
IEEE Access
Li Liu, Youmin Zhang, Shun Fu, Fujin Zhong, Jun Hu, Pu Zhang
2019 — conf
An Efficient Three-Factor Remote User Authentication Scheme Based on Random Projected Biometrics.
ICNC-FSKD
Fujin Zhong, Ruili Zhou, Li Liu, Ke Liu, Youmin Zhang
2019 J jnl
Community Detection Based on Joint Representation of Multi-Granular Networks.
IEEE Access
Chun-Qian Zhang, Jun Hu, Li Liu, Fujin Zhong
2018 — conf
An Effective Face Recognition Framework With Subspace Learning Based on Local Texture Patterns.
ICSAI
Fujin Zhong, Shuo Yan, Li Liu, Ke Liu
2018 — conf
Entity Alignment Across Knowledge Graphs Based on Representative Relations Selection.
ICSAI
Youmin Zhang, Li Liu, Shun Fu, Fujin Zhong
2018 — conf
Finding Multi-granularity Community Structures in Social Networks Based on Significance of Community Partition.
ICDM Workshops
Chenxu Gong, Guoyin Wang, Jun Hu, Ming Liu, Li Liu, Zihe Yang
2018 J jnl
Keywords extraction in Chinese-Vietnamese bilingual news based on hypergraph.
Int. J. Distributed Sens. Networks
Jiaxin Zhai, Shengxiang Gao, Zhengtao Yu, Zequan Fan, Li Liu, Hua Lai, Yafei Zhang
2018 J jnl
Robust 2DLDA based on correntropy.
Neurocomputing
Fujin Zhong, Li Liu, Jun Hu
2016 J jnl
A Momentum Theory for Hot Topic Life-cycle: A Case Study of Hot Hashtag Emerging in Twitter.
Int. J. Comput. Commun. Control
Liu Wang, Xin Li, Lejian Liao, Li Liu
2016 C conf
A Novel Service Recommendation Approach Considering the User's Trust Network.
CollaborateCom
Guoqiang Li, Zibin Zheng, Haifeng Wang, Zifen Yang, Zuoping Xu, Li Liu
2016 A* conf
Aligning Users across Social Networks Using Network Embedding.
IJCAI
Li Liu, William K. Cheung, Xin Li, Lejian Liao
2016 J jnl
FriendBurst: Ranking people who get friends fast in a short time.
Neurocomputing
Li Liu, Dandan Song, Jie Tang, Lejian Liao, Xin Li, Jianguang Du
2015 — conf
Personalized Mention Probabilistic Ranking - Recommendation on Mention Behavior of Heterogeneous Social Network.
WAIM Workshops
Quanle Li, Dandan Song, Lejian Liao, Li Liu
2014 J jnl
Chinese Question Classification Based on Question Property Kernel.
Int. J. Mach. Learn. Cybern.
Li Liu, Zhengtao Yu, Jianyi Guo, Cunli Mao, Xudong Hong
2014 — conf
ReadBehavior: Reading Probabilities Modeling of Tweets via the Users' Retweeting Behaviors.
PAKDD (1)
Jianguang Du, Dandan Song, Lejian Liao, Xin Li, Li Liu, Guoqiang Li, Guanguo Gao, Guiying Wu
2012 — conf
Semi-supervised expert metadata extraction based on co-training style.
FSKD
Youmin Zhang, Zhengtao Yu, Li Liu, Jianyi Guo, Cunli Mao
2011 — conf
Chinese Expert Entity Homepage Recognition Based on Co-EM.
WISM (2)
Li Liu, Zhengtao Yu, Lina Li