Distinguishing uncertain objects with multiple features for crowdsensing. - Bin Liu 022; Chao Song 002; Ming Liu 002; Nianbo Liu (GLOBECOM, 2014)

Understanding Multiple Features with Hypercube for Distinguishing Uncertain Objects in Mobile Crowdsensing. - Bin Liu 022; Chao Song 002; Ming Liu 002; Nianbo Liu; Jinqi Zhu (MASS, 2014)

Parking Backbone: Toward Efficient Overlay Routing in VANETs. - Jinqi Zhu; Ming Liu 002; Yonggang Wen 001; Chunmei Ma; Bin Liu 022 (Int. J. Distributed Sens. Networks, 2014)

μ DC2: unified data collection for data centers. - Wenfeng Xia 002; Yonggang Wen 001; Haiyong Xie 001; Bin Liu 022 (J. Supercomput., 2014)

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. - Haoli Bai; Zenglin Xu; Bin Liu 022; Yingming Li (ACML, 2016)

Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing. - Chunmei Ma; Qing Zhu; Shuang Wu; Bin Liu 022 (Mob. Inf. Syst., 2016)

Manifold regularized matrix completion for multilabel classification. - Bin Liu 022; Zenglin Xu; Shuang Wu; Fei Wang 001 (Pattern Recognit. Lett., 2016)

Integrating supply and demand chains in personalized recommendation via chain-coupled tensor factorization. - Qianyu Jiang; Xiutao Shi; Guangxi Li; Bin Liu 022; Lei Wu 002; Shijun Liu (CSCWD, 2017)

Gene functional annotation via matrix completion. - Bin Liu 022; Dan Ma 005; Chunmei Ma; Shuang Wu (ICC, 2017)

Distributed Consensus Control of Multi-USV Systems. - Bin Liu 022; Hai-Tao Zhang; Yue Wu; Binbin Hu (ICIRA (1), 2017)

Learning from semantically dependent multi-tasks. - Bin Liu 022; Zenglin Xu; Bo Dai 001; Haoli Bai; Xianghong Fang; Yazhou Ren 001; Shandian Zhe (IJCNN, 2017)

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)

Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs. - Dan Ma 005; Bin Liu 022; Zhao Kang 001; Jianke Zhu; Zenglin Xu (CoRR, 2017)

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)

Manifold regularized matrix completion for multi-label learning with ADMM. - Bin Liu 022; Yingming Li; Zenglin Xu (Neural Networks, 2018)

Text classification with pixel embedding. - Bin Liu 022; Guosheng Yin; Wenbin Du (CoRR, 2019)

Variational Random Function Model for Network Modeling. - Zenglin Xu; Bin Liu 022; Shandian Zhe; Haoli Bai; Zihan Wang 002; Jennifer Neville (IEEE Trans. Neural Networks Learn. Syst., 2019)

Learning distributed sentence vectors with bi-directional 3D convolutions. - Bin Liu 022; Liang Wang; Guosheng Yin (COLING, 2020)

Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks. - Dan Ma 005; Bin Liu 022; Xiyu Qiao; Danni Cao; Guosheng Yin (HPCCT/BDAI, 2020)

Human outline keypoints detecting via global and grouping strategy. - Dan Ma 005; Jie Xu; Xiyu Qiao; Bin Liu 022; Yue Wu (HPCCT/BDAI, 2020)

Chinese Document Classification with Bi-directional Convolutional Language Model. - Bin Liu 022; Guosheng Yin (SIGIR, 2020)

Modeling for Professional Athletes' Social Networks Based on Statistical Machine Learning. - Qian Huang; Sai-Fu Fung; Bin Liu 022; Ningshe Zhao; Zhiyong Zhang; Qiurong Wang; Xiaoli Zhang; Yang Xun 001; Xiaoyu Ge; Jianlan Ding (IEEE Access, 2020)

Two birds with one stone: Transforming and generating facial images with iterative GAN. - Dan Ma 005; Bin Liu 022; Zhao Kang 001; Jiayu Zhou; Jianke Zhu; Zenglin Xu (Neurocomputing, 2020)

Learning robust word representation over a semantic manifold. - Liyuan Zheng; Yajie Hu; Bin Liu 022; Wei Deng 003 (Knowl. Based Syst., 2020)

Asymmetric Graph Representation Learning. - Zhuo Tan; Bin Liu 022; Guosheng Yin (CoRR, 2021)

Domain adaptation with feature and label adversarial networks. - Peng Zhao; Wenhua Zang; Bin Liu 022; Zhao Kang 001; Kun Bai; Kaizhu Huang; Zenglin Xu (Neurocomputing, 2021)

Asymmetric Self-Supervised Graph Neural Networks. - Zhuo Tan; Bin Liu 022; Guosheng Yin (IEEE Big Data, 2022)

Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified Setting. - Shaogao Lv; Linsen Wei; Qian Zhang; Bin Liu 022; Zenglin Xu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Autistic Spectrum Disorders Diagnose with Graph Neural Networks. - Lu Wei; Bin Liu 022; Jiujun He; Manxue Zhang; Yi Huang (ACM Multimedia, 2023)

Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network. - Zhizhong Tan; Min Hu; Yixuan Wang; Lu Wei; Bin Liu 022 (CoRR, 2023)

Filter Pruning For CNN With Enhanced Linear Representation Redundancy. - Bojue Wang; Chunmei Ma; Bin Liu 022; Nianbo Liu; Jinqi Zhu (CoRR, 2023)

Learning spatial-temporal feature with graph product. - Zhuo Tan; Yifan Zhu 006; Bin Liu 022 (Signal Process., 2023)

Futures Quantitative Investment With Heterogeneous Continual Graph Neural Network. - Zhizhong Tan; Min Hu; Bin Liu 022; Guosheng Yin (ICDM, 2024)

Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach. - Bin Hu; Chenyang Zhao; Pu Zhang; Zihao Zhou; Yuanhang Yang; Zenglin Xu; Bin Liu 022 (RLJ, 2024)

Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning. - Bin Liu 022; Yu Liu; Zhiqian Li; Jianghong Xiao; Guosheng Yin; Huazhen Lin (KDD (1), 2025)

Graph Portfolio: High-Frequency Factor Predictors via Heterogeneous Continual GNNs. - Min Hu; Zhizhong Tan; Bin Liu 022; Guosheng Yin (IEEE Trans. Knowl. Data Eng., 2025)