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2020 – today
- 2025
[j94]Junyang Chen, Jingcai Guo, Qin Zhang, Kaishun Wu, Liangjie Zhang, Victor C. M. Leung, Huan Wang, Zhiguo Gong:
Unveiling user interests: A deep user interest exploration network for sequential location recommendation. Inf. Sci. 689: 121416 (2025)- 2024
- [j93]Xiaoming Wang
, Zhiguo Gong:
RoDAL: style generation in robot calligraphy with deep adversarial learning. Appl. Intell. 54(17-18): 7913-7923 (2024) - [j92]Xiaoming Wang, Yilong Yang, Weiru Wang, Yuanhua Zhou, Yongfeng Yin, Zhiguo Gong:
Generative adversarial networks based motion learning towards robotic calligraphy synthesis. CAAI Trans. Intell. Technol. 9(2): 452-466 (2024) - [j91]Luyao Ma, Geping Yang, Yiyang Yang, Xiang Chen, Juan Lu, Zhiguo Gong, Zhifeng Hao:
UP-DPC: Ultra-scalable parallel density peak clustering. Inf. Sci. 660: 120114 (2024) - [j90]Yuan Fang, Geping Yang, Xiang Chen, Zhiguo Gong, Yiyang Yang, Can Chen, Zhifeng Hao:
Landmark-based k-factorization multi-view subspace clustering. Inf. Sci. 667: 120480 (2024) - [j89]Xinlei Wang, Jielei Chu, Hua Yu, Zhiguo Gong, Tianrui Li:
Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence. Knowl. Based Syst. 299: 112121 (2024) - [j88]Sucheng Deng, Geping Yang, Yiyang Yang, Zhiguo Gong, Can Chen, Xiang Chen, Zhifeng Hao:
Module-based graph pooling for graph classification. Pattern Recognit. 154: 110606 (2024) - [j87]Mengzhu Wang, Junyang Chen, Ye Wang, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung:
TFC: Transformer Fused Convolution for Adversarial Domain Adaptation. IEEE Trans. Comput. Soc. Syst. 11(1): 697-706 (2024) - [j86]Huan Wang, Ruigang Liu, Chuanqi Shi, Junyang Chen, Lei Fang, Shun Liu, Zhiguo Gong:
Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks. ACM Trans. Knowl. Discov. Data 18(2): 45:1-45:24 (2024) - [j85]Mengzhu Wang, Junyang Chen, Ye Wang, Shanshan Wang, Lin Li, Hao Su, Zhiguo Gong, Kaishun Wu, Zhenghan Chen:
Joint Adversarial Domain Adaptation With Structural Graph Alignment. IEEE Trans. Netw. Sci. Eng. 11(1): 604-612 (2024) - [c77]Junyang Chen, Guoxuan Zou, Pan Zhou, Yirui Wu, Zhenghan Chen, Houcheng Su, Huan Wang, Zhiguo Gong:
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation. AAAI 2024: 8283-8291 - [i11]Xiangyu Lin, Weijia Jia, Zhiguo Gong:
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision. CoRR abs/2407.01026 (2024) - 2023
- [j84]Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong, Ou Liu, Wenfeng Du, Zhenghua Xu, Zhiguo Gong:
A Neural Inference of User Social Interest for Item Recommendation. Data Sci. Eng. 8(3): 223-233 (2023) - [j83]Jielei Chu, Jing Liu, Hongjun Wang, Hua Meng, Zhiguo Gong, Tianrui Li:
Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7542-7558 (2023) - [j82]Geping Yang, Sucheng Deng, Xiang Chen, Can Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering. Pattern Recognit. 137: 109275 (2023) - [j81]Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung:
IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. IEEE Trans. Comput. Soc. Syst. 10(5): 2827-2836 (2023) - [j80]Guangyi Xiao, Shun Peng, Weiwei Xiang, Hao Chen, Jingzhi Guo, Zhiguo Gong:
CMFT: Contrastive Memory Feature Transfer for Nonshared-and-Imbalanced Unsupervised Domain Adaption. IEEE Trans. Ind. Informatics 19(8): 9227-9238 (2023) - [j79]Zhaoyuan Wang, Zheyi Pan, Shun Chen, Shenggong Ji, Xiuwen Yi, Junbo Zhang, Jingyuan Wang, Zhiguo Gong, Tianrui Li, Yu Zheng:
Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5282-5295 (2023) - [j78]Geping Yang, Sucheng Deng, Can Chen, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 35(10): 10035-10047 (2023) - [j77]Jiqian Mo, Zhiguo Gong:
Cross-City Multi-Granular Adaptive Transfer Learning for Traffic Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11246-11258 (2023) - [j76]Huan Wang, Ziwen Cui, Shun Liu, Qiufen Ni, Zhiguo Gong:
Evaluating Edge Credibility in Evolving Noisy Social Networks. IEEE Trans. Knowl. Data Eng. 35(11): 11342-11353 (2023) - [c76]Mengting Zhou, Zhiguo Gong:
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification. AAAI 2023: 4954-4962 - [c75]Luyao Ma, Geping Yang, Xiang Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
Ultra-DPC: Ultra-scalable and Index-Free Density Peak Clustering. APWeb/WAIM (4) 2023: 139-154 - [c74]Junyang Chen, Ge Fan, Zhiguo Gong, Xueliang Li, Victor C. M. Leung, Mengzhu Wang, Ming Yang:
A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media. DASFAA (2) 2023: 537-546 - [c73]Xiangyu Lin, Weijia Jia, Zhiguo Gong:
Self-distilled Transitive Instance Weighting for Denoised Distantly Supervised Relation Extraction. EMNLP (Findings) 2023: 168-180 - [c72]Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li:
Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM. ICDE 2023: 3811-3812 - [c71]Dichao Li, Zhiguo Gong:
A Deep Neural Network for Crossing-City POI Recommendations : (Extended Abstract). ICDE 2023: 3851-3852 - [c70]Jianglin Wei, Guangyi Xiao, Shun Peng, Hao Chen, Jingzhi Guo, Zhiguo Gong:
Fine-Grained Alignment for Boundary Samples under Open Set Domain Adaptation. ICME 2023: 2693-2698 - [i10]Guangyi Xiao, Xinlong Liu, Hao Chen, Jingzhi Guo, Zhiguo Gong:
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation. CoRR abs/2302.07728 (2023) - [i9]Mengting Zhou, Zhiguo Gong:
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification. CoRR abs/2302.12814 (2023) - [i8]Zheng Wang, Hongming Ding, Li Pan, Jianhua Li, Zhiguo Gong, Philip S. Yu:
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited. CoRR abs/2309.13599 (2023) - [i7]Xiaoming Wang, Zhiguo Gong:
Style Generation in Robot Calligraphy with Deep Generative Adversarial Networks. CoRR abs/2312.09673 (2023) - 2022
- [j75]Adnan Zeb, Summaya Saif, Junde Chen, Anwar Ul Haq, Zhiguo Gong, Defu Zhang:
Complex graph convolutional network for link prediction in knowledge graphs. Expert Syst. Appl. 200: 116796 (2022) - [j74]Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li:
Multi-local Collaborative AutoEncoder. Knowl. Based Syst. 239: 107844 (2022) - [j73]Jiqian Mo, Zhiguo Gong, Junyang Chen:
Attentive differential convolutional neural networks for crowd flow prediction. Knowl. Based Syst. 258: 110006 (2022) - [j72]Guangyi Xiao, Weiwei Xiang, Shun Peng, Hao Chen, Jingzhi Guo, Zhiguo Gong:
NI-UDA: Graph Contrastive Domain Adaptation for Nonshared-and-Imbalanced Unsupervised Domain Adaptation. IEEE Trans. Aerosp. Electron. Syst. 58(6): 5105-5117 (2022) - [j71]Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu:
Collaborative Filtering With Network Representation Learning for Citation Recommendation. IEEE Trans. Big Data 8(5): 1233-1246 (2022) - [j70]Jinjin Guo, Longbing Cao, Zhiguo Gong:
Recurrent Coupled Topic Modeling over Sequential Documents. ACM Trans. Knowl. Discov. Data 16(1): 8:1-8:32 (2022) - [j69]Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li:
Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM. IEEE Trans. Knowl. Data Eng. 34(6): 3002-3015 (2022) - [j68]Dichao Li, Zhiguo Gong:
A Deep Neural Network for Crossing-City POI Recommendations. IEEE Trans. Knowl. Data Eng. 34(8): 3536-3548 (2022) - [j67]Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Xiao Dong:
CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3765-3777 (2022) - [j66]Junyang Chen, Zhiguo Gong, Jiqian Mo, Wei Wang, Wei Wang, Cong Wang, Xiao Dong, Weiwen Liu, Kaishun Wu:
Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6737-6748 (2022) - [j65]Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu:
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7079-7090 (2022) - [j64]Junyang Chen, Zhiguo Gong, Yuanman Li, Huanjian Zhang, Hongyong Yu, Junzhang Zhu, Ge Fan, Xiao-Ming Wu, Kaishun Wu:
Meta-Path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation. IEEE Trans. Netw. Sci. Eng. 9(3): 1658-1667 (2022) - [j63]Junyang Chen, Xueliang Li, Yuanman Li, Paul Li, Mengzhu Wang, Xiang Zhang, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung:
A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding. IEEE Trans. Netw. Sci. Eng. 9(3): 1827-1837 (2022) - [c69]Aimin Sun, Zhiguo Gong:
Multi-Aspect Embedding of Dynamic Graphs. CIKM 2022: 4520-4524 - [c68]Geping Yang, Sucheng Deng, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering. DASFAA (2) 2022: 556-573 - [c67]Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong:
Field-aware Variational Autoencoders for Billion-scale User Representation Learning. ICDE 2022: 3413-3425 - [c66]Geping Yang, Hongzhang Lv, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
FastDEC: Clustering by Fast Dominance Estimation. ECML/PKDD (1) 2022: 138-156 - [c65]Huan Wang, Chunming Qiao, Xuan Guo, Ying Sha, Zhiguo Gong:
Exploiting Anomalous Structural Nodes in Dynamic Social Networks. WWW (Companion Volume) 2022: 388 - 2021
- [j62]Adnan Zeb, Anwar Ul Haq, Defu Zhang, Junde Chen, Zhiguo Gong:
KGEL: A novel end-to-end embedding learning framework for knowledge graph completion. Expert Syst. Appl. 167: 114164 (2021) - [j61]Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu:
HNS: Hierarchical negative sampling for network representation learning. Inf. Sci. 542: 343-356 (2021) - [j60]Yiyang Yang, Sucheng Deng, Juan Lu, Yuhong Li, Zhiguo Gong, Leong Hou U, Zhifeng Hao:
GraphLSHC: Towards large scale spectral hypergraph clustering. Inf. Sci. 544: 117-134 (2021) - [j59]Juan Lu, Zhiguo Gong, Yiyang Yang:
A matrix sampling approach for efficient SimRank computation. Inf. Sci. 556: 1-26 (2021) - [j58]Xichen Zheng, Chengsen Ren, Yiyang Yang, Zhiguo Gong, Xiang Chen, Zhifeng Hao:
QuickDSC: Clustering by Quick Density Subgraph Estimation. Inf. Sci. 581: 403-427 (2021) - [j57]Wei Wang, Zhiguo Gong, Jing Ren, Feng Xia, Zhihan Lv, Wei Wei:
Venue Topic Model-enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 4:1-4:15 (2021) - [j56]Jinjin Guo, Zhiguo Gong, Longbing Cao:
dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream. ACM Trans. Intell. Syst. Technol. 12(5): 57:1-57:25 (2021) - [j55]Wei Wang, Feng Xia, Hansong Nie, Zhikui Chen, Zhiguo Gong, Xiangjie Kong, Wei Wei:
Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 22(6): 3567-3576 (2021) - [j54]Wei Wang, Xiaofeng Zhao, Zhiguo Gong, Zhikui Chen, Ning Zhang, Wei Wei:
An Attention-Based Deep Learning Framework for Trip Destination Prediction of Sharing Bike. IEEE Trans. Intell. Transp. Syst. 22(7): 4601-4610 (2021) - [j53]Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison:
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. ACM Trans. Knowl. Discov. Data 15(3): 40:1-40:19 (2021) - [j52]Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Ming Yang, Cong Wang:
TAM: Targeted Analysis Model With Reinforcement Learning on Short Texts. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2772-2781 (2021) - [j51]Wei Wang, Junyang Chen, Yushu Zhang, Zhiguo Gong, Neeraj Kumar, Wei Wei:
A Multi-graph Convolutional Network Framework for Tourist Flow Prediction. ACM Trans. Internet Techn. 21(4): 106:1-106:13 (2021) - [j50]Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, Irwin King:
Attributed Collaboration Network Embedding for Academic Relationship Mining. ACM Trans. Web 15(1): 4:1-4:20 (2021) - [j49]Huan Wang, Chunming Qiao, Xuan Guo, Lei Fang, Ying Sha, Zhiguo Gong:
Identifying and Evaluating Anomalous Structural Change-based Nodes in Generalized Dynamic Social Networks. ACM Trans. Web 15(4): 19:1-19:22 (2021) - [j48]Yan Li, Hao Wang, Ngai Meng Kou, Leong Hou U, Zhiguo Gong:
Crowdsourced top-k queries by pairwise preference judgments with confidence and budget control. VLDB J. 30(2): 189-213 (2021) - [c64]Zheng Wang, Ruihang Shao, Changping Wang, Changjun Hu, Chaokun Wang, Zhiguo Gong:
Expanding Semantic Knowledge for Zero-Shot Graph Embedding. DASFAA (1) 2021: 394-402 - [c63]Xiangyu Lin, Tianyi Liu, Weijia Jia, Zhiguo Gong:
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning. EMNLP (1) 2021: 165-174 - [c62]Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong:
Zero-shot Node Classification with Decomposed Graph Prototype Network. KDD 2021: 1769-1779 - [i6]Zheng Wang, Ruihang Shao, Changping Wang, Changjun Hu, Chaokun Wang, Zhiguo Gong:
Expanding Semantic Knowledge for Zero-shot Graph Embedding. CoRR abs/2103.12491 (2021) - [i5]Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong:
Zero-shot Node Classification with Decomposed Graph Prototype Network. CoRR abs/2106.08022 (2021) - [i4]Jinjin Guo, Longbing Cao, Zhiguo Gong:
Recurrent Coupled Topic Modeling over Sequential Documents. CoRR abs/2106.13732 (2021) - [i3]Guangyi Xiao, Weiwei Xiang, Huan Liu, Hao Chen, Shun Peng, Jingzhi Guo, Zhiguo Gong:
NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications. CoRR abs/2108.05061 (2021) - 2020
- [j47]Junyang Chen, Zhiguo Gong, Weiwen Liu:
A Dirichlet process biterm-based mixture model for short text stream clustering. Appl. Intell. 50(5): 1609-1619 (2020) - [j46]Wei Wang, Junyang Chen, Jinzhong Wang, Junxin Chen, Zhiguo Gong:
Geography-Aware Inductive Matrix Completion for Personalized Point-of-Interest Recommendation in Smart Cities. IEEE Internet Things J. 7(5): 4361-4370 (2020) - [j45]Wei Wang, Neeraj Kumar, Junxin Chen, Zhiguo Gong, Xiangjie Kong, Wei Wei, Honghao Gao:
Realizing the Potential of Internet of Things for Smart Tourism with 5G and AI. IEEE Netw. 34(6): 295-301 (2020) - [j44]Guangyi Xiao, Qi Wu, Hao Chen, Da Cao, Jingzhi Guo, Zhiguo Gong:
A Deep Transfer Learning Solution for Food Material Recognition Using Electronic Scales. IEEE Trans. Ind. Informatics 16(4): 2290-2300 (2020) - [j43]Wei Wang, Junyang Chen, Jinzhong Wang, Junxin Chen, Jinquan Liu, Zhiguo Gong:
Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation. IEEE Trans. Ind. Informatics 16(9): 6124-6132 (2020) - [c61]Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. CIKM 2020: 545-554 - [c60]Zhiqiang Zhuang, Kewen Wang, Junhu Wang, Heng Zhang, Zhe Wang, Zhiguo Gong:
Lifting Majority to Unanimity in Opinion Diffusion. ECAI 2020: 259-266 - [c59]Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu:
Adversarial Learning for Overlapping Community Detection and Network Embedding. ECAI 2020: 1071-1078 - [c58]Junyang Chen, Zhiguo Gong, Wei Wang, Xiao Dong, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen:
Inductive Document Representation Learning for Short Text Clustering. ECML/PKDD (3) 2020: 600-616 - [c57]Junhu Wang, Shikha Anirban, Toshiyuki Amagasa, Hiroaki Shiokawa, Zhiguo Gong, Md. Saiful Islam:
A Hybrid Index for Distance Queries. WISE (1) 2020: 227-241 - [c56]Wei Wang, Junyang Chen, Weiwei Sun, Zhiguo Gong:
Scientific Collaboration Sustainability Prediction Based on H-index Reciprocity. WWW (Companion Volume) 2020: 71-72 - [i2]Jielei Chu, Jing Liu, Hongjun Wang, Zhiguo Gong, Tianrui Li:
Minor Constraint Disturbances for Deep Semi-supervised Learning. CoRR abs/2003.06321 (2020)
2010 – 2019
- 2019
- [j42]Junyang Chen, Zhiguo Gong, Weiwen Liu:
A nonparametric model for online topic discovery with word embeddings. Inf. Sci. 504: 32-47 (2019) - [j41]Jixin Liu, Guang Han, Ning Sun, Xiaofei Li, Zhiguo Gong, Quan-Sen Sun:
Generalized compressed sensing with QR-based vision matrix learning for face recognition under natural scenes. Signal Process. Image Commun. 77: 11-19 (2019) - [j40]Dichao Li, Zhiguo Gong, Defu Zhang:
A Common Topic Transfer Learning Model for Crossing City POI Recommendations. IEEE Trans. Cybern. 49(12): 4282-4295 (2019) - [c55]Wei Wang, Liangtian Wan, Xiangjie Kong, Zhiguo Gong, Feng Xia:
Not Every Couple Is a Pair: A Supervised Approach for Lifetime Collaborator Identification. PACIS 2019: 19 - [e9]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11439, Springer 2019, ISBN 978-3-030-16147-7 [contents] - [e8]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11440, Springer 2019, ISBN 978-3-030-16144-6 [contents] - [e7]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11441, Springer 2019, ISBN 978-3-030-16141-5 [contents] - 2018
- [j39]Yuhong Li, Jie Bao, Yanhua Li, Yingcai Wu, Zhiguo Gong, Yu Zheng:
Mining the Most Influential k-Location Set from Massive Trajectories. IEEE Trans. Big Data 4(4): 556-570 (2018) - [j38]Na Ta, Guoliang Li, Tianyu Zhao, Jianhua Feng, Hanchao Ma, Zhiguo Gong:
An Efficient Ride-Sharing Framework for Maximizing Shared Route. IEEE Trans. Knowl. Data Eng. 30(2): 219-233 (2018) - [c54]Na Ta, Guoliang Li, Tianyu Zhao, Jianhua Feng, Hanchao Ma, Zhiguo Gong:
An Efficient Ride-Sharing Framework for Maximizing Shared Routes. ICDE 2018: 1795-1796 - 2017
- [j37]Wentao Wu, Wai Kin (Victor) Chan, Lei Chi, Zhiguo Gong:
Identifying a Set of Key Members in Social Networks Using SDP-Based Stochastic Search and Integer Programming Algorithms. Asia Pac. J. Oper. Res. 34(3): 1750002:1-1750002:22 (2017) - [j36]Yan Li, Ngai Meng Kou, Hao Wang, Leong Hou U, Zhiguo Gong:
A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing. Proc. VLDB Endow. 10(12): 1909-1912 (2017) - [j35]Juan Lu, Zhiguo Gong, Xuemin Lin:
A Novel and Fast SimRank Algorithm. IEEE Trans. Knowl. Data Eng. 29(3): 572-585 (2017) - [j34]Zhenguo Yang, Qing Li, Zheng Lu, Yun Ma, Zhiguo Gong, Wenyin Liu:
Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data. ACM Trans. Internet Techn. 17(2): 19:1-19:20 (2017) - [j33]Haitao Zou, Zhiguo Gong, Weishu Hu:
Identifying diverse reviews about products. World Wide Web 20(2): 351-369 (2017) - [c53]Yuhong Li, Dongmei Hou, Aimin Pan, Zhiguo Gong:
DeMalC: A Feature-rich Machine Learning Framework for Malicious Call Detection. CIKM 2017: 1559-1567 - [c52]Yuhong Li, Bo Tang, Leong Hou U, Man Lung Yiu, Zhiguo Gong:
Fast Subsequence Search on Time Series Data. EDBT 2017: 514-517 - [c51]Guangyi Xiao, Jiqian Mo, Even Chow, Hao Chen, Jingzhi Guo, Zhiguo Gong:
Multi-Task CNN for Classification of Chinese Legal Questions. ICEBE 2017: 84-90 - [c50]Guangyi Xiao, Even Chow, Hao Chen, Jiqian Mo, Jingzhi Guo, Zhiguo Gong:
Chinese Questions Classification in the Law Domain. ICEBE 2017: 214-219 - [c49]Jinjin Guo, Zhiguo Gong:
A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data. IJCAI 2017: 1732-1738 - [c48]Yiyang Yang, Zhiguo Gong, Qing Li, Leong Hou U, Ruichu Cai, Zhifeng Hao:
A Robust Noise Resistant Algorithm for POI Identification from Flickr Data. IJCAI 2017: 3294-3300 - [c47]Ngai Meng Kou, Yan Li, Hao Wang, Leong Hou U, Zhiguo Gong:
Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments. SIGMOD Conference 2017: 1415-1430 - 2016
- [j32]Weidong Liu, Xiangfeng Luo, Zhiguo Gong, Junyu Xuan, Ngai Meng Kou, Zheng Xu:
Discovering the core semantics of event from social media. Future Gener. Comput. Syst. 64: 175-185 (2016) - [j31]