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2020 – today
- 2024
[j29]Zhiping Luo
, Jian Yin, Guangquan Lu, Mohammad Reza Rahimi:
Link prediction in multilayer networks using weighted reliable local random walk algorithm. Expert Syst. Appl. 247: 123304 (2024)- [j28]Jiecheng Li, Xudong Luo, Guangquan Lu:
GS-CBR-KBQA: Graph-structured case-based reasoning for knowledge base question answering. Expert Syst. Appl. 257: 125090 (2024) - [j27]Haitian Tan, Guangquan Lu, Zhaojie Wang, Jun Hua, Miaomiao Liu:
A unified risk field-based driving behavior model for car-following and lane-changing behaviors simulation. Simul. Model. Pract. Theory 136: 102991 (2024) - [j26]Zhaojie Wang, Guangquan Lu, Haitian Tan, Miaomiao Liu:
A Risk-Field Based Motion Planning Method for Multi-Vehicle Conflict Scenario. IEEE Trans. Veh. Technol. 73(1): 310-322 (2024) - [i2]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu:
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems. CoRR abs/2408.09651 (2024) - 2023
- [j25]Jingci Li, Guangquan Lu, Zhengtian Wu, Fuqing Ling:
Multi-view representation model based on graph autoencoder. Inf. Sci. 632: 439-453 (2023) - [j24]Wenmin Long, Guangquan Lu:
A Method of Identifying Personalized Car-Following Characteristics for Adaptive Cruise Control System. IEEE Trans. Intell. Transp. Syst. 24(7): 6888-6901 (2023) - [j23]Rongjian Dai, Chuan Ding, Xinkai Wu, Bin Yu, Guangquan Lu:
Coupling Control of Traffic Signal and Entry Lane at Isolated Intersections Under the Mixed-Autonomy Traffic Environment. IEEE Trans. Intell. Transp. Syst. 24(10): 10628-10642 (2023) - [j22]Guangquan Lu, Jun Hua, Haoyi Zhao, Miaomiao Liu, Jin Xu, Fang Zong:
Modeling Vehicle Paths at Intersections: A Unified Approach Based on Entrance and Exit Lanes. IEEE Trans. Intell. Transp. Syst. 24(12): 14097-14110 (2023) - [c23]Yadan Han, Guangquan Lu, Jiecheng Li, Fuqing Ling, Wanxi Chen, Liang Zhang:
Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties. KSEM (1) 2023: 78-91 - [c22]Yujing Liu, Zongqian Wu, Zhengyu Lu, Guoqiu Wen, Junbo Ma, Guangquan Lu, Xiaofeng Zhu:
Multi-teacher Self-training for Semi-supervised Node Classification with Noisy Labels. ACM Multimedia 2023: 2946-2954 - 2022
- [j21]Guangquan Lu, Jiecheng Li, Jian Wei:
Aspect sentiment analysis with heterogeneous graph neural networks. Inf. Process. Manag. 59(4): 102953 (2022) - [j20]Jinyu Dai, Zhengtian Wu, Hamid Reza Karimi, Baoping Jiang, Guangquan Lu:
An approximation lagrangian-based algorithm for the maximum clique problem via deterministic annealing neural network. J. Frankl. Inst. 359(12): 6080-6098 (2022) - [j19]Wenzhen Zhang, Guangquan Lu, Shichao Zhang, Yonggang Li:
Self-paced hybrid dilated convolutional neural networks. Multim. Tools Appl. 81(24): 34169-34181 (2022) - [j18]Mengmeng Zhan, Jiangzhang Gan, Guangquan Lu, Yingying Wan:
Graph convolutional networks of reconstructed graph structure with constrained Laplacian rank. Multim. Tools Appl. 81(24): 34183-34194 (2022) - [j17]Haiqi Zhang, Guangquan Lu, Mengmeng Zhan, Beixian Zhang:
Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints. Neural Process. Lett. 54(4): 2645-2656 (2022) - [j16]Junjie Zhang, Guangquan Lu, Haiyang Yu, Yunpeng Wang, Can Yang:
Effect of the Uncertainty Level of Vehicle-Position Information on the Stability and Safety of the Car-Following Process. IEEE Trans. Intell. Transp. Syst. 23(6): 4944-4958 (2022) - [j15]Haitian Tan, Guangquan Lu, Miaomiao Liu:
Risk Field Model of Driving and Its Application in Modeling Car-Following Behavior. IEEE Trans. Intell. Transp. Syst. 23(8): 11605-11620 (2022) - [c21]Lijuan Wu, Guixian Zhang, Zhi Lei, Zhirong Huang, Guangquan Lu:
Multi-View Gated Graph Convolutional Network for Aspect-Level Sentiment Classification. ADMA (1) 2022: 489-504 - [c20]Jinyun Tang, Wenzhen Zhang, Guixian Zhang, Rongjiao Liang, Guangquan Lu:
One-Stage Deep Channels Attention Network for Remote Sensing Images Object Detection. APWeb/WAIM (2) 2022: 483-491 - [c19]Kui Zhang, Guangquan Lu, Guixian Zhang, Zhi Lei, Lijuan Wu:
Personalized Headline Generation with Enhanced User Interest Perception. ICANN (2) 2022: 797-809 - [c18]Jingci Li, Guangquan Lu, Zhengtian Wu:
Multi-View Graph Autoencoder for Unsupervised Graph Representation Learning. ICPR 2022: 2213-2218 - [c17]Junda Zhai, Guangquan Lu, Facheng Chen:
Effect analysis of connected information on youth driver's performance in highway driving. ITSC 2022: 256-261 - [c16]Jingci Li, Guangquan Lu, Jiecheng Li:
A Self-supervised Graph Autoencoder with Barlow Twins. PRICAI (2) 2022: 501-512 - 2021
- [j14]Guangquan Lu, Jihong Huang:
Learning Representation From Concurrence-Words Graph For Aspect Sentiment Classification. Comput. J. 64(7): 1069-1079 (2021) - [c15]Yiling Tao, Guangquan Lu, Chaoqun Ma, Zidong Su, Zehui Hu:
Semi-supervised Feature Selection Based on Cost-Sensitive and Structural Information. ADC 2021: 23-36 - [c14]Tiancheng Huang, Guangquan Lu, Zexin Li, Jiagang Song, Lijuan Wu:
Entity Relations Based Pointer-Generator Network for Abstractive Text Summarization. ADMA 2021: 219-236 - [c13]Qimin Luo, Guangquan Lu, Guoqiu Wen, Zidong Su, Xingyi Liu, Jian Wei:
Balanced Spectral Clustering Algorithm Based on Feature Selection. ADMA 2021: 356-367 - [c12]Yue Wang, Jianbo Li, Aite Zhao, Zhiqiang Lv, Guangquan Lu:
Temporal Attention-Based Graph Convolution Network for Taxi Demand Prediction in Functional Areas. WASA (1) 2021: 203-214 - 2020
- [j13]Guangquan Lu, Jiangzhang Gan, Jian Yin, Zhiping Luo, Bo Li, Xishun Zhao:
Multi-task learning using a hybrid representation for text classification. Neural Comput. Appl. 32(11): 6467-6480 (2020) - [j12]Linjun Chen, Guangquan Lu, Yangding Li, Jiaye Li, Malong Tan:
Local Structure Preservation for Nonlinear Clustering. Neural Process. Lett. 52(3): 1811-1826 (2020) - [j11]Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu:
Using Locality Preserving Projections to Improve the Performance of Kernel Clustering. Neural Process. Lett. 52(3): 1827-1842 (2020) - [j10]Guangquan Lu, Xishun Zhao, Jian Yin, Weiwei Yang, Bo Li:
Multi-task learning using variational auto-encoder for sentiment classification. Pattern Recognit. Lett. 132: 115-122 (2020) - [j9]Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang:
Sparse Graph Connectivity for Image Segmentation. ACM Trans. Knowl. Discov. Data 14(4): 46:1-46:19 (2020) - [j8]Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu, Jiaye Li, Shichao Zhang:
Spectral clustering via half-quadratic optimization. World Wide Web 23(3): 1969-1988 (2020) - [c11]Boyan Chen, Guangquan Lu, Bo Peng, Wenzhen Zhang:
DGRL: Text Classification with Deep Graph Residual Learning. ADMA 2020: 83-97 - [c10]Mengxia Jin, Guangquan Lu, Facheng Chen, Xi Shi:
How Driving Experience Affect Trust in Automation from Level 3 Automated Vehicles? An Experimental Analysis. ITSC 2020: 1-6
2010 – 2019
- 2019
- [j7]Yingrong Lu, Xiaotong Xu, Chuan Ding, Guangquan Lu:
A Speed Control Method at Successive Signalized Intersections Under Connected Vehicles Environment. IEEE Intell. Transp. Syst. Mag. 11(3): 117-128 (2019) - [j6]Yunpeng Wang, Junjie Zhang, Guangquan Lu:
Influence of Driving Behaviors on the Stability in Car Following. IEEE Trans. Intell. Transp. Syst. 20(3): 1081-1098 (2019) - [j5]Pinlong Cai, Yunpeng Wang, Guangquan Lu:
Tunable and Transferable RBF Model for Short-Term Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 20(11): 4134-4144 (2019) - [c9]Peng Chen, Zemao Zhu, Guangquan Lu:
An Adaptive Control Method for Arterial Signal Coordination Based on Deep Reinforcement Learning. ITSC 2019: 3553-3558 - [c8]Linjun Chen, Guangquan Lu, Guoqiu Wen, Jiaye Li, Malong Tan:
A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning. SSCI 2019: 2603-2607 - [c7]Mengmeng Zhan, Guangquan Lu, Guoqiu Wen, Leyuan Zhang, Lin Wu:
A Clustering Algorithm via Kernel Function and Locality Preserving Projections. SSCI 2019: 2620-2625 - 2018
- [j4]Peng Chen, Rui Tong, Guangquan Lu, Yunpeng Wang:
The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm. Expert Syst. Appl. 110: 20-32 (2018) - [j3]Guangquan Lu, Bo Li, Weiwei Yang, Jian Yin:
Unsupervised feature selection with graph learning via low-rank constraint. Multim. Tools Appl. 77(22): 29531-29549 (2018) - 2017
- [c6]Junjie Zhang, Yunpeng Wang, Guangquan Lu, Wenmin Long:
Analysis string stability of a new car-following model considering response time. CASE 2017: 853-857 - 2015
- [j2]Guangquan Lu, Miaomiao Liu, Yunpeng Wang, Huasen Wan, Daxin Tian:
Logit-Based Analysis of Drivers' Crossing Behavior at Unsignalized Intersections in China. Hum. Factors 57(7): 1101-1114 (2015) - 2014
- [j1]Yunpeng Wang, Xuting Duan, Daxin Tian, Jianshan Zhou, Yingrong Lu, Guangquan Lu:
A Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency. Int. J. Distributed Sens. Networks 10 (2014) - [c5]Wenzhong Liang, Guangquan Lu, Xiaoyu Ji, Jian Li, Dingrong Yuan:
Difference Factor' KNN Collaborative Filtering Recommendation Algorithm. ADMA 2014: 175-184 - [c4]Fangshu Lei, Yunpeng Wang, Guangquan Lu, Daxin Tian:
Travel time reliability affected by accident in freeway with connected vehicles. ITSC 2014: 51-56 - [c3]Liang Li, Guangquan Lu, Yunpeng Wang, Daxin Tian:
A rear-end collision avoidance system of connected vehicles. ITSC 2014: 63-68 - [c2]Guangquan Lu, Lumiao Li, Yunpeng Wang, Ran Zhang, Zewen Bao, Haichong Chen:
A rule based control algorithm of connected vehicles in uncontrolled intersection. ITSC 2014: 115-120 - 2013
- [c1]Daxin Tian, Yong Yuan, Jianshan Zhou, Yunpeng Wang, Guangquan Lu, Haiying Xia:
Real-Time Vehicle Route Guidance Based on Connected Vehicles. GreenCom/iThings/CPScom 2013: 1512-1517 - [i1]Peng Zhang, Baisong Cheng, Zhuang Zhao, Daqing Li, Guangquan Lu, Yunpeng Wang, Jinghua Xiao:
The resilience of interdependent transportation networks under targeted attack. CoRR abs/1307.4541 (2013)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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