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ORCIDGuanfeng Liu 0001
Person information
- affiliation: Macquarie University, Department of Computing, Sydney, Australia
- affiliation (former): Soochow University, School of Computer Science and Technology, China
Other persons with the same name
- Guanfeng Liu — disambiguation page
- Guanfeng Liu 0002 — Hong Kong University of Science and Technology, Kowloon Tong, Hong Kong, SAR, China
- Guanfeng Liu 0003
![[0000-0002-5419-3229]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5419-3229")
— Guangdong Polytechnic Normal University, School of Mechatronical Engineering, Guangdong, China
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2020 – today
- 2024
[j78]Lijun Sun, Mingzhi Liu, Guanfeng Liu, Xiao Chen, Xu Yu:
FD-TGCN: Fast and dynamic temporal graph convolution network for traffic flow prediction. Inf. Fusion 106: 102291 (2024)- [j77]Shan Lei, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Junhua Fang, Guanfeng Liu, Victor S. Sheng:
Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning. J. Intell. Inf. Syst. 62(1): 143-161 (2024) - [j76]Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu, Jia Wu, Jun Zhou:
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. Int. J. Mach. Learn. Cybern. 15(8): 3513-3532 (2024) - [j75]Chuanjiu Wu, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Victor S. Sheng, Guanfeng Liu:
Dual-Supervised Contrastive Learning for Bundle Recommendation. IEEE Trans. Comput. Soc. Syst. 11(3): 3955-3965 (2024) - [j74]Chao Long, Huanhuan Yuan, Junhua Fang, Xuefeng Xian, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 18(4): 87:1-87:15 (2024) - [j73]Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(7): 177 (2024) - [c122]Xingying Tong, Huanhuan Yuan, Yongjing Hao, Junhua Fang, Guanfeng Liu, Pengpeng Zhao:
Logic Preference Fusion Reasoning on Recommendation. APWeb/WAIM (2) 2024: 99-114 - [c121]Xinyu Qian, Yongjing Hao, Xuefeng Xian, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao:
Enhancing Spatio-temporal Semantics with Contrastive Learning for Next POI Recommendation. APWeb/WAIM (2) 2024: 374-389 - [c120]Adeem Ali Anwar, Guanfeng Liu, Xuyun Zhang:
Solving Many-Objective Optimization Problems Using Selection Hyper-Heuristics. ICAART (3) 2024: 194-201 - [c119]Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE 2024: 679-691 - [c118]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE 2024: 705-718 - [c117]Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou:
Adaptive Hypergraph Network for Trust Prediction. ICDE 2024: 2986-2999 - [c116]Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu:
An Empirical Analysis on Multi-turn Conversational Recommender Systems. SIGIR 2024: 841-851 - [c115]Haojie Li, Wei Wei, Guanfeng Liu, Jinhuan Liu, Feng Jiang, Junwei Du:
Intent Distribution based Bipartite Graph Representation Learning. SIGIR 2024: 1649-1658 - [c114]Haojie Li, Zhiyong Cheng, Xu Yu, Jinhuan Liu, Guanfeng Liu, Junwei Du:
Behavior Pattern Mining-based Multi-Behavior Recommendation. SIGIR 2024: 2291-2295 - [c113]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM 2024: 548-556 - [i25]Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang:
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs. CoRR abs/2401.03597 (2024) - [i24]Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou:
Adaptive Hypergraph Network for Trust Prediction. CoRR abs/2402.05154 (2024) - [i23]Pengfei Ding, Yan Wang, Guanfeng Liu:
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects. CoRR abs/2403.13834 (2024) - [i22]Haojie Li, Zhiyong Cheng, Xu Yu, Jinhuan Liu, Guanfeng Liu, Junwei Du:
Behavior Pattern Mining-based Multi-Behavior Recommendation. CoRR abs/2408.12152 (2024) - 2023
- [j72]Mingzhi Liu, Guanfeng Liu, Lijun Sun:
Spatial-temporal dependence and similarity aware traffic flow forecasting. Inf. Sci. 625: 81-96 (2023) - [j71]Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng:
Multi-dimensional Graph Neural Network for Sequential Recommendation. Pattern Recognit. 139: 109504 (2023) - [j70]Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023) - [j69]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Trans. Knowl. Data Eng. 35(2): 1171-1184 (2023) - [j68]Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou:
Partition-Aware Graph Pattern Based Node Matching With Updates. IEEE Trans. Knowl. Data Eng. 35(2): 1922-1937 (2023) - [j67]Pengfei Ding, Guanfeng Liu, Yan Wang, Kai Zheng, Xiaofang Zhou:
A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery. IEEE Trans. Knowl. Data Eng. 35(3): 2243-2257 (2023) - [j66]Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou:
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10112-10124 (2023) - [j65]Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou:
Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 35(10): 10265-10280 (2023) - [j64]Tong Yu, Guanfeng Liu, An Liu, Zhixu Li, Lei Zhao:
LIFOSS: a learned index scheme for streaming scenarios. World Wide Web (WWW) 26(1): 501-518 (2023) - [j63]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-based graph convolution network for recommendation. World Wide Web (WWW) 26(5): 2835-2854 (2023) - [c112]Wei He, Guohao Sun, Jinhu Lu, Xiu Fang, Guanfeng Liu, Jian Yang:
Refined Node Type Graph Convolutional Network for Recommendation. ADMA (1) 2023: 91-106 - [c111]Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Xuyun Zhang:
A Preference-Based Indicator Selection Hyper-Heuristic for Optimization Problems. ADMA (1) 2023: 447-462 - [c110]Pengfei Ding, Yan Wang, Guanfeng Liu:
Cross-heterogeneity Graph Few-shot Learning. CIKM 2023: 420-429 - [c109]Yuanjun Liu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao:
Towards Effective Trajectory Similarity Measure in Linear Time. DASFAA (1) 2023: 283-299 - [c108]Yaoze Liu, Junwei Du, Haojie Li, Guanfeng Liu:
Graph Disentangled Collaborative Filtering based on Multi-order Similarity Constraint. DSAA 2023: 1-10 - [c107]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. ICDE 2023: 2673-2685 - [c106]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c105]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. IJCAI 2023: 2432-2440 - [c104]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR 2023: 58-67 - [c103]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR 2023: 78-88 - [c102]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR 2023: 89-98 - [i21]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i20]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR abs/2304.07763 (2023) - [i19]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR abs/2304.09184 (2023) - [i18]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. CoRR abs/2304.11383 (2023) - [i17]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR abs/2304.14668 (2023) - [i16]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR abs/2305.04322 (2023) - [i15]Jiaan Wang, Jianfeng Qu, Yunlong Liang, Zhixu Li, An Liu, Guanfeng Liu, Xin Zheng:
Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model. CoRR abs/2306.10241 (2023) - [i14]Pengfei Ding, Yan Wang, Guanfeng Liu:
Cross-heterogeneity Graph Few-shot Learning. CoRR abs/2308.05275 (2023) - [i13]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR abs/2310.13925 (2023) - [i12]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR abs/2310.14318 (2023) - 2022
- [j62]Junwen Lu, Jinhui Wang, Xiaojun Wei, Keshou Wu, Guanfeng Liu:
Deep Anomaly Detection Based on Variational Deviation Network. Future Internet 14(3): 80 (2022) - [j61]Yipeng Zhou, Jun Liu, Jessie Hui Wang, Jilong Wang, Guanfeng Liu, Di Wu, Chao Li, Shui Yu:
USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training. Inf. Sci. 606: 688-701 (2022) - [j60]Guanfeng Liu, An Liu, Qing Li, Huanhuan Chen, Deepak Puthal:
Guest Editorial Special Issue on Computational Intelligence in Big Graph Data Management. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1027-1029 (2022) - [j59]Bolong Zheng, Lingfeng Ming, Qi Hu, Zhipeng Lü, Guanfeng Liu, Xiaofang Zhou:
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management. ACM Trans. Intell. Syst. Technol. 13(3): 37:1-37:19 (2022) - [j58]Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu:
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation. ACM Trans. Knowl. Discov. Data 16(3): 54:1-54:27 (2022) - [j57]An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou:
Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. IEEE Trans. Knowl. Data Eng. 34(5): 2387-2400 (2022) - [j56]Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou:
Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups. IEEE Trans. Knowl. Data Eng. 34(7): 3461-3477 (2022) - [j55]Xuanhao Chen, Yan Zhao, Guanfeng Liu, Rui Sun, Xiaofang Zhou, Kai Zheng:
Efficient Similarity-Aware Influence Maximization in Geo-Social Network. IEEE Trans. Knowl. Data Eng. 34(10): 4767-4780 (2022) - [c101]Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Amin Beheshti, Xuyun Zhang:
A Cricket-Based Selection Hyper-Heuristic for Many-Objective Optimization Problems. ADMA (2) 2022: 310-324 - [c100]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM 2022: 396-405 - [c99]Xiaojia Xu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao:
Drive Less but Finish More: Food Delivery based on Multi-Level Workers in Spatial Crowdsourcing. CIKM 2022: 2331-2340 - [c98]Rongwei Xu, Guanfeng Liu, Xianmei Hua, Shiqi Ye, Xuyun Zhang, Junwen Lu:
Attention-aware Multi-hop Trust Inference in Online Social Networks. DSAA 2022: 1-10 - [c97]Xiaotong Xu, An Liu, Guanfeng Liu, Jiajie Xu, Lei Zhao:
Acceptance-Aware Multi-platform Cooperative Matching in Spatial Crowdsourcing. ICSOC 2022: 300-315 - [c96]Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Quaternion-Based Graph Contrastive Learning for Recommendation. IJCNN 2022: 1-8 - [c95]Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. IJCNN 2022: 1-8 - [i11]Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR abs/2204.10128 (2022) - [i10]Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou:
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs. CoRR abs/2207.05068 (2022) - [i9]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR abs/2208.03895 (2022) - 2021
- [j54]Xiaojie Yu, Lijun Sun, Yang Yan, Guanfeng Liu:
A short-term traffic flow prediction method based on spatial-temporal correlation using edge computing. Comput. Electr. Eng. 93: 107219 (2021) - [j53]Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou:
Incremental Graph Pattern Based Node Matching with Multiple Updates. IEEE Trans. Knowl. Data Eng. 33(4): 1585-1600 (2021) - [j52]Qiqi Zheng, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng, Lei Zhao, Xiaofang Zhou:
Implicit relation-aware social recommendation with variational auto-encoder. World Wide Web 24(5): 1395-1410 (2021) - [c94]Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin:
International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). CIKM 2021: 4886-4887 - [c93]Niu Chen, An Liu, Guanfeng Liu, Jiajie Xu, Lei Zhao:
Representation Learning Based Query Decomposition for Batch Shortest Path Processing in Road Networks. ICSOC 2021: 257-272 - [c92]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI 2021: 4721-4728 - [i8]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR abs/2103.01696 (2021) - [i7]Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu:
Social Group Query Based on Multi-fuzzy-constrained Strong Simulation. CoRR abs/2103.09497 (2021) - [i6]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. CoRR abs/2108.07976 (2021) - [i5]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-Based Graph Convolution Network for Recommendation. CoRR abs/2111.10536 (2021) - [i4]Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou:
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. CoRR abs/2111.10539 (2021) - 2020
- [j51]Junwen Lu, Guanfeng Liu, Xianmei Hua:
Cloud-Based K-Closest Pairs Discovery in Dynamic Cyber-Physical-Social Systems. IEEE Access 8: 70664-70675 (2020) - [j50]Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun, Guanfeng Liu:
Towards a Deep Attention-Based Sequential Recommender System. IEEE Access 8: 178073-178084 (2020) - [j49]Keshou Wu, Guanfeng Liu, Junwen Lu:
Graph-Based Node Finding in Big Complex Contextual Social Graphs. Complex. 2020: 7909826:1-7909826:13 (2020) - [j48]Yanan Zhang, Guanfeng Liu, An Liu, Yifan Zhang, Zhixu Li, Xiangliang Zhang, Qing Li:
Personalized Geographical Influence Modeling for POI Recommendation. IEEE Intell. Syst. 35(5): 18-27 (2020) - [j47]Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang:
Weighted partial order oriented three-way decisions under score-based common voting rules. Int. J. Approx. Reason. 123: 41-54 (2020) - [j46]An Liu, Xindi Shen, Haoran Xie, Zhixu Li, Guanfeng Liu, Jia-Jie Xu, Lei Zhao, Fu Lee Wang:
Privacy-preserving shared collaborative web services QoS prediction. J. Intell. Inf. Syst. 54(1): 205-224 (2020) - [j45]Zhong Yang, Bolong Zheng, Guohui Li, Nguyen Quoc Viet Hung, Guanfeng Liu, Kai Zheng:
Searching Activity Trajectories by Exemplar. Trans. Data Sci. 1(3): 19:1-19:18 (2020) - [j44]Guanfeng Liu, Yurong Wang, Bolong Zheng, Zhixu Li, Kai Zheng:
Strong Social Graph Based Trust-Oriented Graph Pattern Matching With Multiple Constraints. IEEE Trans. Emerg. Top. Comput. Intell. 4(5): 675-685 (2020) - [j43]Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou:
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing. IEEE Trans. Knowl. Data Eng. 32(11): 2227-2240 (2020) - [j42]GuoHui Li, Qi Chen, Bolong Zheng, Nguyen Quoc Viet Hung, Pan Zhou, Guanfeng Liu:
Time-aspect-sentiment Recommendation Models Based on Novel Similarity Measure Methods. ACM Trans. Web 14(2): 5:1-5:26 (2020) - [j41]Anqi Zhao, Guanfeng Liu, Bolong Zheng, Yan Zhao, Kai Zheng:
Temporal paths discovery with multiple constraints in attributed dynamic graphs. World Wide Web 23(1): 313-336 (2020) - [j40]An Liu, Guanfeng Liu, Mehmet A. Orgun, Qing Li:
Guest editorial: special issue on trust, privacy, and security in crowdsourcing computing. World Wide Web 23(1): 389-391 (2020) - [j39]Kai Zheng, Guanfeng Liu, Mehmet A. Orgun, Junping Du:
Preface to the Special Issue on Graph Data Management in Online Social Networks. World Wide Web 23(2): 691-692 (2020) - [j38]Shuangli Shan, Zhixu Li, Qiang Yang, An Liu, Lei Zhao, Guanfeng Liu, Zhigang Chen:
Geographical address representation learning for address matching. World Wide Web 23(3): 2005-2022 (2020) - [j37]Wei Peng, An Liu, Zhixu Li, Guanfeng Liu, Qing Li:
User experience-driven secure task assignment in spatial crowdsourcing. World Wide Web 23(3): 2131-2151 (2020) - [c91]Siyuan Cao, Qiang Yang, Zhixu Li, Guanfeng Liu, Detian Zhang, Jiajie Xu:
MemTimes: Temporal Scoping of Facts with Memory Network. DASFAA (3) 2020: 70-86 - [c90]Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou:
Updates-Aware Graph Pattern based Node Matching. ICDE 2020: 697-708 - [c89]Bolong Zheng, Chenze Huang, Christian S. Jensen, Lu Chen, Nguyen Quoc Viet Hung, Guanfeng Liu, GuoHui Li, Kai Zheng:
Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing. ICDE 2020: 973-984 - [c88]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng:
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. IJCAI 2020: 3001-3008 - [i3]Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou:
Updates-Aware Graph Pattern based Node Matching. CoRR abs/2002.07402 (2020) - [i2]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu:
A Deep Framework for Cross-Domain and Cross-System Recommendations. CoRR abs/2009.06215 (2020) - [i1]Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang:
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. CoRR abs/2011.10180 (2020)
2010 – 2019
- 2019
- [j36]Lai Qian, Guanfeng Liu, Fei Zhu, Zhixu Li, Yu Wang, An Liu:
Enhancing User Experience of Task Assignment in Spatial Crowdsourcing: A Self-Adaptive Batching Approach. IEEE Access 7: 132324-132332 (2019) - [j35]Junwen Lu, Guanfeng Liu, Keshou Wu, Wenjiang Qin:
Location-Aware Web Service Composition Based on the Mixture Rank of Web Services and Web Service Requests. Complex. 2019: 9871971:1-9871971:16 (2019) - [j34]Lei Li, Yuqi Chu, Guanfeng Liu, Xindong Wu:
Multi-Objective Optimization-Based Networked Multi-Label Active Learning. J. Database Manag. 30(2): 1-26 (2019) - [j33]Lei Li, Fang Zhang, Guanfeng Liu:
Multi-Fuzzy-Objective Graph Pattern Matching with Big Graph Data. J. Database Manag. 30(4): 24-40 (2019) - [j32]