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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
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2020 – today
- 2023
[j70]Mingzhi Liu, Guanfeng Liu, Lijun Sun:
Spatial-temporal dependence and similarity aware traffic flow forecasting. Inf. Sci. 625: 81-96 (2023)- [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [c108]Yuanjun Liu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao:
Towards Effective Trajectory Similarity Measure in Linear Time. DASFAA (1) 2023: 283-299 - [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 - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]Pengfei Ding, Yan Wang, Guanfeng Liu:
Cross-heterogeneity Graph Few-shot Learning. CoRR abs/2308.05275 (2023) - 2022
- [j61]Junwen Lu, Jinhui Wang, Xiaojun Wei, Keshou Wu, Guanfeng Liu:
Deep Anomaly Detection Based on Variational Deviation Network. Future Internet 14(3): 80 (2022) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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
- [j53]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) - [j52]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) - [j51]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
- [j50]Junwen Lu, Guanfeng Liu, Xianmei Hua:
Cloud-Based K-Closest Pairs Discovery in Dynamic Cyber-Physical-Social Systems. IEEE Access 8: 70664-70675 (2020) - [j49]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) - [j48]Keshou Wu, Guanfeng Liu, Junwen Lu:
Graph-Based Node Finding in Big Complex Contextual Social Graphs. Complex. 2020: 7909826:1-7909826:13 (2020) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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
- [j35]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) - [j34]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) - [j33]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) - [j32]Lei Li, Fang Zhang, Guanfeng Liu:
Multi-Fuzzy-Objective Graph Pattern Matching with Big Graph Data. J. Database Manag. 30(4): 24-40 (2019) - [j31]Junwen Lu, Guanfeng Liu, Bolong Zheng, Yan Zhao, Kai Zheng:
Social context-aware trust paths finding for trustworthy service provider selection in social media. Multim. Tools Appl. 78(17): 24473-24500 (2019) - [j30]Guanfeng Liu, Qun Shi, Kai Zheng, Zhixu Li, An Liu, Jiajie Xu:
Context-aware graph pattern based top-k designated nodes finding in social graphs. World Wide Web 22(2): 751-770 (2019) - [j29]Guanfeng Liu, Qun Shi, Kai Zheng, An Liu, Zhixu Li, Xiaofang Zhou:
An efficient method for top-k graph based node matching. World Wide Web 22(3): 945-966 (2019) - [j28]Dongjun Zhai, Yue Sun, An Liu, Zhixu Li, Guanfeng Liu, Lei Zhao, Kai Zheng:
Towards secure and truthful task assignment in spatial crowdsourcing. World Wide Web 22(5): 2017-2040 (2019) - [j27]Qiang Yang, Zhixu Li, An Liu, Guanfeng Liu, Lei Zhao, Xiangliang Zhang, Min Zhang, Xiaofang Zhou:
A novel hybrid publication recommendation system using compound information. World Wide Web 22(6): 2499-2517 (2019) - [j26]An Liu, Xindi Shen, Zhixu Li, Guanfeng Liu, Jiajie Xu, Lei Zhao, Kai Zheng, Shuo Shang:
Differential private collaborative Web services QoS prediction. World Wide Web 22(6): 2697-2720 (2019) - [c87]Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng:
Preference-Aware Task Assignment in Spatial Crowdsourcing. AAAI 2019: 2629-2636 - [c86]He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine:
Leveraging Meta Information in Short Text Aggregation. ACL (1) 2019: 4042-4049 - [c85]Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng:
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. CIKM 2019: 1533-1542 - [c84]Fuzhen He, Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, Zhigang Chen:
Unsupervised Entity Alignment Using Attribute Triples and Relation Triples. DASFAA (1) 2019: 367-382 - [c83]Lei Li, Yongkang Jiang, Guanfeng Liu:
Consensus with Voting Theory in Blockchain Environments. ICBK 2019: 152-159 - [c82]Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, Kai Zheng:
Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery. ICDM 2019: 140-149 - [c81]Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, Kai Zheng:
DMFP: A Dynamic Multi-faceted Fine-Grained Preference Model for Recommendation. ICDM 2019: 608-617 - [c80]Yifan Zhang, An Liu, Guanfeng Liu, Zhixu Li, Qing Li:
Deep Representation Learning of Activity Trajectory Similarity Computation. ICWS 2019: 312-319 - [c79]Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng:
Profit-driven Task Assignment in Spatial Crowdsourcing. IJCAI 2019: 1914-1920 - [c78]Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng:
DMRAN: A Hierarchical Fine-Grained Attention-Based Network for Recommendation. IJCAI 2019: 3698-3704 - [c77]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou:
Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI 2019: 4320-4326 - [c76]Yiting Wang, Zhixu Li, Qiang Yang, Zhigang Chen, An Liu, Guanfeng Liu, Lei Zhao:
WebEL: Improving Entity Linking with Extra Web Contexts. WISE 2019: 507-522 - 2018
- [j25]An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Qing Li, Xiaofang Zhou, Xiangliang Zhang:
A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation. IEEE Access 6: 393-404 (2018) - [j24]Yanxia Xu, Wei Chen, Jia-Jie Xu, Zhixu Li, Guanfeng Liu, Lei Zhao:
Discovering Functional Organized Point of Interest Groups for Spatial Keyword Recommendation. J. Comput. Sci. Technol. 33(4): 697-710 (2018) - [j23]Guanfeng Liu, Yi Liu, Kai Zheng, An Liu, Zhixu Li, Yan Wang, Xiaofang Zhou:
MCS-GPM: Multi-Constrained Simulation Based Graph Pattern Matching in Contextual Social Graphs. IEEE Trans. Knowl. Data Eng. 30(6): 1050-1064 (2018) - [j22]Guanfeng Liu, Yi Liu, An Liu, Zhixu Li, Kai Zheng, Yan Wang, Xiaofang Zhou:
Context-aware trust network extraction in large-scale trust-oriented social networks. World Wide Web 21(3): 713-738 (2018) - [c75]Jian Li, An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Lei Zhao, Kai Zheng:
Towards Privacy-Preserving Travel-Time-First Task Assignment in Spatial Crowdsourcing. APWeb/WAIM (2) 2018: 19-34 - [c74]Jiuru Gao, Jiajie Xu, Guanfeng Liu, Wei Chen, Hongzhi Yin, Lei Zhao:
A Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud. DASFAA (1) 2018: 307-322 - [c73]Mengdi Jia, Yan Zhao, Bolong Zheng, Guanfeng Liu, Kai Zheng:
A Time-Aware Path-Based Publish/Subscribe Framework. DASFAA (1) 2018: 511-528 - [c72]Wenyan Yang, Yan Zhao, Bolong Zheng, Guanfeng Liu, Kai Zheng:
Modeling Travel Behavior Similarity with Trajectory Embedding. DASFAA (1) 2018: 630-646 - [c71]Jiuchao Shi, Guanfeng Liu, Anqi Zhao, An Liu, Zhixu Li, Kai Zheng:
A Multi-Constrained Temporal Path Query System. ER Workshops 2018: 39-43 - [c70]Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Xiaofang Zhou:
Incremental Graph Pattern Based Node Matching. ICDE 2018: 281-292 - [c69]Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu:
A Deep Framework for Cross-Domain and Cross-System Recommendations. IJCAI 2018: 3711-3717 - [c68]Ying He, Zhixu Li, Guanfeng Liu, Fangfei Cao, Zhigang Chen, Ke Wang, Jie Ma:
Bootstrapped Multi-level Distant Supervision for Relation Extraction. WISE (1) 2018: 408-423 - 2017
- [j21]Yang Zhao, Guanfeng Liu, Kai Zheng, An Liu, Zhixu Li, Xiaofang Zhou:
CAT: Context-Aware Trust-Oriented Worker Selection in Social Crowd. Comput. Informatics 36(3): 517-540 (2017) - [j20]Binbin Gu, Zhixu Li, Qiang Yang, Qing Xie, An Liu, Guanfeng Liu, Kai Zheng, Xiangliang Zhang:
Web-ADARE: A web-aided data repairing system. Neurocomputing 253: 201-214 (2017) - [j19]Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Jia Zhu, Jia-Jie Xu, Kai Zheng, Min Zhang:
Crowd-Guided Entity Matching with Consolidated Textual Data. J. Comput. Sci. Technol. 32(5): 858-876 (2017) - [j18]