Bin Liu

39 papers A* 3B 6C 2Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tangency portfolios using graph neural networks.
Neural Networks
Bin Liu, Haolong Li, Linshuang Kang
2025 — conf
Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning.
KDD (1)
Bin Liu, Yu Liu, Zhiqian Li, Jianghong Xiao, Guosheng Yin, Huazhen Lin
2025 J jnl
Graph Portfolio: High-Frequency Factor Predictors via Heterogeneous Continual GNNs.
IEEE Trans. Knowl. Data Eng.
Min Hu, Zhizhong Tan, Bin Liu, Guosheng Yin
2024 J jnl
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach.
RLJ
Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu
2024 A* conf
Futures Quantitative Investment With Heterogeneous Continual Graph Neural Network.
ICDM
Zhizhong Tan, Min Hu, Bin Liu, Guosheng Yin
2023 A* conf
Autistic Spectrum Disorders Diagnose with Graph Neural Networks.
ACM Multimedia
Lu Wei, Bin Liu, Jiujun He, Manxue Zhang, Yi Huang
2023 J jnl
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach.
CoRR
Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu
2023 J jnl
Filter Pruning For CNN With Enhanced Linear Representation Redundancy.
CoRR
Bojue Wang, Chunmei Ma, Bin Liu, Nianbo Liu, Jinqi Zhu
2023 J jnl
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network.
CoRR
Zhizhong Tan, Min Hu, Yixuan Wang, Lu Wei, Bin Liu
2023 J jnl
Learning spatial-temporal feature with graph product.
Signal Process.
Zhuo Tan, Yifan Zhu, Bin Liu
2022 B conf
Asymmetric Self-Supervised Graph Neural Networks.
IEEE Big Data
Zhuo Tan, Bin Liu, Guosheng Yin
2022 J jnl
Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified Setting.
IEEE Trans. Neural Networks Learn. Syst.
Shaogao Lv, Linsen Wei, Qian Zhang, Bin Liu, Zenglin Xu
2021 J jnl
Asymmetric Graph Representation Learning.
CoRR
Zhuo Tan, Bin Liu, Guosheng Yin
2021 J jnl
Domain adaptation with feature and label adversarial networks.
Neurocomputing
Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang, Zenglin Xu
2020 A* conf
Chinese Document Classification with Bi-directional Convolutional Language Model.
SIGIR
Bin Liu, Guosheng Yin
2020 — conf
Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks.
HPCCT/BDAI
Dan Ma, Bin Liu, Xiyu Qiao, Danni Cao, Guosheng Yin
2020 — conf
Human outline keypoints detecting via global and grouping strategy.
HPCCT/BDAI
Dan Ma, Jie Xu, Xiyu Qiao, Bin Liu, Yue Wu
2020 B conf
Learning distributed sentence vectors with bi-directional 3D convolutions.
COLING
Bin Liu, Liang Wang, Guosheng Yin
2020 J jnl
Learning robust word representation over a semantic manifold.
Knowl. Based Syst.
Liyuan Zheng, Yajie Hu, Bin Liu, Wei Deng
2020 J jnl
Modeling for Professional Athletes' Social Networks Based on Statistical Machine Learning.
IEEE Access
Qian Huang, Sai-Fu Fung, Bin Liu, Ningshe Zhao, Zhiyong Zhang, Qiurong Wang, Xiaoli Zhang, Yang Xun, Xiaoyu Ge, Jianlan Ding
2020 J jnl
Two birds with one stone: Transforming and generating facial images with iterative GAN.
Neurocomputing
Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu
2019 J jnl
Text classification with pixel embedding.
CoRR
Bin Liu, Guosheng Yin, Wenbin Du
2019 J jnl
Variational Random Function Model for Network Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville
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
Manifold regularized matrix completion for multi-label learning with ADMM.
Neural Networks
Bin Liu, Yingming Li, 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
2017 — conf
Distributed Consensus Control of Multi-USV Systems.
ICIRA (1)
Bin Liu, Hai-Tao Zhang, Yue Wu, Binbin Hu
2017 — conf
Gene functional annotation via matrix completion.
ICC
Bin Liu, Dan Ma, Chunmei Ma, Shuang Wu
2017 C conf
Integrating supply and demand chains in personalized recommendation via chain-coupled tensor factorization.
CSCWD
Qianyu Jiang, Xiutao Shi, Guangxi Li, Bin Liu, Lei Wu, Shijun Liu
2017 B conf
Learning from semantically dependent multi-tasks.
IJCNN
Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe
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
Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs.
CoRR
Dan Ma, Bin Liu, Zhao Kang, Jianke Zhu, Zenglin Xu
2016 C conf
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network.
ACML
Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li
2016 J jnl
Manifold regularized matrix completion for multilabel classification.
Pattern Recognit. Lett.
Bin Liu, Zenglin Xu, Shuang Wu, Fei Wang
2016 J jnl
Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing.
Mob. Inf. Syst.
Chunmei Ma, Qing Zhu, Shuang Wu, Bin Liu
2014 B conf
Distinguishing uncertain objects with multiple features for crowdsensing.
GLOBECOM
Bin Liu, Chao Song, Ming Liu, Nianbo Liu
2014 J jnl
Parking Backbone: Toward Efficient Overlay Routing in VANETs.
Int. J. Distributed Sens. Networks
Jinqi Zhu, Ming Liu, Yonggang Wen, Chunmei Ma, Bin Liu
2014 B conf
Understanding Multiple Features with Hypercube for Distinguishing Uncertain Objects in Mobile Crowdsensing.
MASS
Bin Liu, Chao Song, Ming Liu, Nianbo Liu, Jinqi Zhu
2014 J jnl
μ DC
J. Supercomput.
Wenfeng Xia, Yonggang Wen, Haiyong Xie, Bin Liu