Guanfeng Liu - RankMe

267 papers A* 43A 23B 7C 7Misc 1Journal 121Unranked 61

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation. WSDM Rongwei Xu, Zitai Qiu, Pengfei Ding, Yan Wang, Jia Wu, Amin Beheshti, Guanfeng Liu
2026	A*	`conf`	Frequency-Corrupt Based Graph Self-Supervised Learning. WWW Haojie Li, Mengjiao Zhang, Guanfeng Liu, Qiang Hu, Yan Wang, Junwei Du
2026	—	`conf`	How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals. KDD (1) Feng Liu, Hao Cang, Huanhuan Yuan, Jiaqing Fan, Yongjing Hao, Fuzhen Zhuang, Guanfeng Liu, Pengpeng Zhao
2026	J	`jnl`	Intent-Based Trust Evaluation. IEEE Trans. Knowl. Data Eng. Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou
2026	A*	`conf`	LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection. WWW Zitai Qiu, Rongwei Xu, Congbo Ma, Shan Xue, Jian Yang, Guanfeng Liu, Quan Z. Sheng, Amin Beheshti, Jia Wu
2026	A*	`conf`	MARCH: Multi-Teacher Contrastive Hypergraph Distillation. WWW Rongwei Xu, Zitai Qiu, Pengfei Ding, Jia Wu, Yan Wang, Amin Beheshti, Guanfeng Liu
2026	J	`jnl`	Multi-behavioral recommendation algorithm based on decoupled graph convolution. Expert Syst. Appl. Xu Yu, Pengju Ding, Jie Yu, Junyu Lin, Lei Guo, Guanfeng Liu, Liang Xi
2026	A*	`conf`	Re-understanding Graph Unlearning through Memorization. WWW Pengfei Ding, Yan Wang, Guanfeng Liu
2026	J	`jnl`	Structure-attribute aligned graph neural network for recommendation. Expert Syst. Appl. Zhenduo Qi, Minying Fang, Haojie Li, Feng Jiang, Guanfeng Liu, Dunwei Gong, Junwei Du
2026	A*	`conf`	Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation. AAAI Huayang Xu, Huanhuan Yuan, Guanfeng Liu, Junhua Fang, Lei Zhao, Pengpeng Zhao
2025	J	`jnl`	A joint optimization approach for bug triage leveraging individual ability and collective responsibility of developers. Inf. Softw. Technol. Haojie Li, Wei Wei, Jianfei Sui, Guanfeng Liu, Yuying Li, Yang Feng, Junwei Du
2025	A*	`conf`	Adaptive Graph Unlearning. IJCAI Pengfei Ding, Yan Wang, Guanfeng Liu, Jiajie Zhu
2025	J	`jnl`	Adaptive Graph Unlearning. CoRR Pengfei Ding, Yan Wang, Guanfeng Liu, Jiajie Zhu
2025	J	`jnl`	COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation. Neural Networks Yu Lei, Limin Shen, Zhu Sun, Tiantian He, Shanshan Feng, Guanfeng Liu
2025	J	`jnl`	Candidate-aware graph prompt-tuning for recommendation. Pattern Recognit. Haojie Li, Guanfeng Liu, Qiang Hu, Yan Wang, Dunwei Gong, Junwei Du
2025	A*	`conf`	DELRec: Distilling Sequential Pattern to Enhance LLMs-Based Sequential Recommendation. ICDE Haoyi Zhang, Guohao Sun, Jinhu Lu, Guanfeng Liu, Xiu Susie Fang
2025	J	`jnl`	Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang, Xiaofang Zhou
2025	A*	`conf`	Fuzzy Collaborative Reasoning. AAAI Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan, Junhua Fang, Guanfeng Liu, Victor S. Sheng
2025	—	`conf`	GPE: Global Position Embedding for Trajectory Similarity Computation. KDD (2) Yuanjun Liu, Guanfeng Liu, Qingzhi Ma, Zhixu Li, Lei Zhao, An Liu
2025	A*	`conf`	GPL4SRec: Graph Multi-Level Aware Prompt Learning for Streaming Recommendation. IJCAI Hao Cang, Huanhuan Yuan, Jiaqing Fan, Lei Zhao, Guanfeng Liu, Pengpeng Zhao
2025	J	`jnl`	How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals. CoRR Feng Liu, Hao Cang, Huanhuan Yuan, Jiaqing Fan, Yongjing Hao, Fuzhen Zhuang, Guanfeng Liu, Pengpeng Zhao
2025	J	`jnl`	Intent Propagation Contrastive Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Haojie Li, Junwei Du, Guanfeng Liu, Feng Jiang, Yan Wang, Xiaofang Zhou
2025	J	`jnl`	Inter-Class and Intra-Class Re-Weighting for Topological-Imbalance Graph Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Gen Liu, Zhongying Zhao, Hui Zhou, Chao Li, Qingtian Zeng, Guanfeng Liu
2025	J	`jnl`	PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins. Neural Networks Chen Li, Guoyan Huang, Zhu Sun, Lu Zhang, Shanshan Feng, Guanfeng Liu
2025	J	`jnl`	PerFedKG: two-stage information-loop federated knowledge graph for personalized privacy-preserving recommendation systems. Sci. China Inf. Sci. Fan Wang, Xuyun Zhang, Weiming Liu, Li Li, Yuwen Liu, Zhongyuan Zhang, Guanfeng Liu, Shengye Pang, Xiaolong Xu, Lianyong Qi
2025	J	`jnl`	Size-fixed group discovery via multi-constrained graph pattern matching. Inf. Sci. Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu
2025	A*	`conf`	Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks. IJCAI Han Zhang, Yan Wang, Guanfeng Liu, Pengfei Ding, Huaxiong Wang, Kwok-Yan Lam
2025	J	`jnl`	Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation. CoRR Huayang Xu, Huanhuan Yuan, Guanfeng Liu, Junhua Fang, Lei Zhao, Pengpeng Zhao
2024	A	`conf`	A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. CIKM Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024	A*	`conf`	Adaptive Hypergraph Network for Trust Prediction. ICDE Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou
2024	J	`jnl`	Adaptive Hypergraph Network for Trust Prediction. CoRR Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou
2024	A*	`conf`	An Empirical Analysis on Multi-turn Conversational Recommender Systems. SIGIR Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu
2024	A*	`conf`	Behavior Pattern Mining-based Multi-Behavior Recommendation. SIGIR Haojie Li, Zhiyong Cheng, Xu Yu, Jinhuan Liu, Guanfeng Liu, Junwei Du
2024	J	`jnl`	Behavior Pattern Mining-based Multi-Behavior Recommendation. CoRR Haojie Li, Zhiyong Cheng, Xu Yu, Jinhuan Liu, Guanfeng Liu, Junwei Du
2024	—	`conf`	Beyond SweepLine: Efficient MaxRS Queries over Inaccurate Location Data. DASFAA (1) Yuanjun Liu, Zhengcao Zhang, Jianfeng Qu, Guanfeng Liu, An Liu
2024	A	`conf`	CLR2G: Cross modal Contrastive Learning on Radiology Report Generation. CIKM Hongchen Xue, Qingzhi Ma, Guanfeng Liu, Jianfeng Qu, Yuanjun Liu, An Liu
2024	—	`conf`	Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation. DASFAA (3) Tongyu Wu, Jianfeng Qu, Deqing Wang, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao
2024	J	`jnl`	Dual-Supervised Contrastive Learning for Bundle Recommendation. IEEE Trans. Comput. Soc. Syst. Chuanjiu Wu, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Victor S. Sheng, Guanfeng Liu
2024	—	`conf`	Enhancing Spatio-temporal Semantics with Contrastive Learning for Next POI Recommendation. APWeb/WAIM (2) Xinyu Qian, Yongjing Hao, Xuefeng Xian, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao
2024	J	`jnl`	FD-TGCN: Fast and dynamic temporal graph convolution network for traffic flow prediction. Inf. Fusion Lijun Sun, Mingzhi Liu, Guanfeng Liu, Xiao Chen, Xu Yu
2024	—	`conf`	Feature-Adaptive Meets Domain-Specific Networks for Multi-domain Recommendation. WISE (3) Shengfeng Lin, Huanhuan Yuan, Guanfeng Liu, Xuefeng Xian, Zhiming Cui, Pengpeng Zhao
2024	J	`jnl`	Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2024	J	`jnl`	Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs. CoRR Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang
2024	J	`jnl`	Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects. CoRR Pengfei Ding, Yan Wang, Guanfeng Liu
2024	J	`jnl`	Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning. J. Intell. Inf. Syst. Shan Lei, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Junhua Fang, Guanfeng Liu, Victor S. Sheng
2024	A	`conf`	Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
2024	A*	`conf`	Intent Distribution based Bipartite Graph Representation Learning. SIGIR Haojie Li, Wei Wei, Guanfeng Liu, Jinhuan Liu, Feng Jiang, Junwei Du
2024	A	`conf`	KMCT: CIKM Yuanjun Liu, Guanfeng Liu, Qingzhi Ma, Zhixu Li, Shiting Wen, Lei Zhao, An Liu
2024	J	`jnl`	LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. ACM Trans. Knowl. Discov. Data Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024	J	`jnl`	Learnable Model Augmentation Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2024	J	`jnl`	Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation. ACM Trans. Knowl. Discov. Data Chao Long, Huanhuan Yuan, Junhua Fang, Xuefeng Xian, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024	—	`conf`	Logic Preference Fusion Reasoning on Recommendation. APWeb/WAIM (2) Xingying Tong, Huanhuan Yuan, Yongjing Hao, Junhua Fang, Guanfeng Liu, Pengpeng Zhao
2024	A*	`conf`	Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2024	A*	`conf`	Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2024	—	`conf`	Semantic Similarity-Based Graph Contrastive Learning for Recommender System. WISE (3) Longchuan Tu, Shunmei Meng, Xiao Liu, Guanfeng Liu, Amin Beheshti, Xuyun Zhang
2024	—	`conf`	Solving Many-Objective Optimization Problems Using Selection Hyper-Heuristics. ICAART (3) Adeem Ali Anwar, Guanfeng Liu, Xuyun Zhang
2024	J	`jnl`	Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. Int. J. Mach. Learn. Cybern. Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu, Jia Wu, Jun Zhou
2023	—	`conf`	A Preference-Based Indicator Selection Hyper-Heuristic for Optimization Problems. ADMA (1) Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Xuyun Zhang
2023	J	`jnl`	A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Trans. Knowl. Data Eng. Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu
2023	J	`jnl`	A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery. IEEE Trans. Knowl. Data Eng. Pengfei Ding, Guanfeng Liu, Yan Wang, Kai Zheng, Xiaofang Zhou
2023	A*	`conf`	Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. ICDE Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023	J	`jnl`	Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023	A	`conf`	Cross-heterogeneity Graph Few-shot Learning. CIKM Pengfei Ding, Yan Wang, Guanfeng Liu
2023	J	`jnl`	Cross-heterogeneity Graph Few-shot Learning. CoRR Pengfei Ding, Yan Wang, Guanfeng Liu
2023	A*	`conf`	DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023	J	`jnl`	DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023	J	`jnl`	Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023	A*	`conf`	Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou
2023	J	`jnl`	Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou
2023	A*	`conf`	Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu
2023	B	`conf`	Graph Disentangled Collaborative Filtering based on Multi-order Similarity Constraint. DSAA Yaoze Liu, Junwei Du, Haojie Li, Guanfeng Liu
2023	J	`jnl`	Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
2023	J	`jnl`	LIFOSS: a learned index scheme for streaming scenarios. World Wide Web (WWW) Tong Yu, Guanfeng Liu, An Liu, Zhixu Li, Lei Zhao
2023	A*	`conf`	Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2023	J	`jnl`	Multi-dimensional Graph Neural Network for Sequential Recommendation. Pattern Recognit. Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng
2023	J	`jnl`	Partition-Aware Graph Pattern Based Node Matching With Updates. IEEE Trans. Knowl. Data Eng. Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou
2023	J	`jnl`	Privacy-Aware Traffic Flow Prediction Based on Multi-Party Sensor Data with Zero Trust in Smart City. ACM Trans. Internet Techn. Fan Wang, Guangshun Li, Yilei Wang, Wajid Rafique, Mohammad Reza Khosravi, Guanfeng Liu, Yuwen Liu, Lianyong Qi
2023	J	`jnl`	Quaternion-based graph convolution network for recommendation. World Wide Web (WWW) Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou
2023	—	`conf`	Refined Node Type Graph Convolutional Network for Recommendation. ADMA (1) Wei He, Guohao Sun, Jinhu Lu, Xiu Fang, Guanfeng Liu, Jian Yang
2023	A*	`conf`	Sequential Recommendation with Probabilistic Logical Reasoning. IJCAI Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
2023	J	`jnl`	Sequential Recommendation with Probabilistic Logical Reasoning. CoRR Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
2023	J	`jnl`	Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model. CoRR Jiaan Wang, Jianfeng Qu, Yunlong Liang, Zhixu Li, An Liu, Guanfeng Liu, Xin Zheng
2023	J	`jnl`	Spatial-temporal dependence and similarity aware traffic flow forecasting. Inf. Sci. Mingzhi Liu, Guanfeng Liu, Lijun Sun
2023	—	`conf`	Towards Effective Trajectory Similarity Measure in Linear Time. DASFAA (1) Yuanjun Liu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao
2022	—	`conf`	A Cricket-Based Selection Hyper-Heuristic for Many-Objective Optimization Problems. ADMA (2) Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Amin Beheshti, Xuyun Zhang
2022	A	`conf`	Acceptance-Aware Multi-platform Cooperative Matching in Spatial Crowdsourcing. ICSOC Xiaotong Xu, An Liu, Guanfeng Liu, Jiajie Xu, Lei Zhao
2022	B	`conf`	Attention-aware Multi-hop Trust Inference in Online Social Networks. DSAA Rongwei Xu, Guanfeng Liu, Xianmei Hua, Shiqi Ye, Xuyun Zhang, Junwen Lu
2022	A	`conf`	Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2022	J	`jnl`	Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2022	J	`jnl`	Deep Anomaly Detection Based on Variational Deviation Network. Future Internet Junwen Lu, Jinhui Wang, Xiaojun Wei, Keshou Wu, Guanfeng Liu
2022	A	`conf`	Drive Less but Finish More: Food Delivery based on Multi-Level Workers in Spatial Crowdsourcing. CIKM Xiaojia Xu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao
2022	J	`jnl`	Efficient Similarity-Aware Influence Maximization in Geo-Social Network. IEEE Trans. Knowl. Data Eng. Xuanhao Chen, Yan Zhao, Guanfeng Liu, Rui Sun, Xiaofang Zhou, Kai Zheng
2022	J	`jnl`	Few-Shot Semantic Relation Prediction across Heterogeneous Graphs. CoRR Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou
2022	J	`jnl`	Guest Editorial Special Issue on Computational Intelligence in Big Graph Data Management. IEEE Trans. Emerg. Top. Comput. Intell. Guanfeng Liu, An Liu, Qing Li, Huanhuan Chen, Deepak Puthal
2022	B	`conf`	Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. IJCNN Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2022	J	`jnl`	Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng
2022	J	`jnl`	Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups. IEEE Trans. Knowl. Data Eng. Yan Zhao, Kai Zheng, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou
2022	B	`conf`	Quaternion-Based Graph Contrastive Learning for Recommendation. IJCNN Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2022	J	`jnl`	Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. IEEE Trans. Knowl. Data Eng. An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou
2022	J	`jnl`	Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation. ACM Trans. Knowl. Discov. Data Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu
2022	J	`jnl`	Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management. ACM Trans. Intell. Syst. Technol. Bolong Zheng, Lingfeng Ming, Qi Hu, Zhipeng Lü, Guanfeng Liu, Xiaofang Zhou
2022	J	`jnl`	USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training. Inf. Sci. Yipeng Zhou, Jun Liu, Jessie Hui Wang, Jilong Wang, Guanfeng Liu, Di Wu, Chao Li, Shui Yu
2021	J	`jnl`	A Unified Framework for Cross-Domain and Cross-System Recommendations. CoRR Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu
2021	J	`jnl`	A short-term traffic flow prediction method based on spatial-temporal correlation using edge computing. Comput. Electr. Eng. Xiaojie Yu, Lijun Sun, Yang Yan, Guanfeng Liu
2021	A*	`conf`	Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
2021	J	`jnl`	Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
2021	J	`jnl`	Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. CoRR Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou
2021	J	`jnl`	Implicit relation-aware social recommendation with variational auto-encoder. World Wide Web Qiqi Zheng, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng, Lei Zhao, Xiaofang Zhou
2021	J	`jnl`	Incremental Graph Pattern Based Node Matching with Multiple Updates. IEEE Trans. Knowl. Data Eng. Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou
2021	A	`conf`	International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). CIKM Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin
2021	J	`jnl`	Quaternion-Based Graph Convolution Network for Recommendation. CoRR Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou
2021	A	`conf`	Representation Learning Based Query Decomposition for Batch Shortest Path Processing in Road Networks. ICSOC Niu Chen, An Liu, Guanfeng Liu, Jiajie Xu, Lei Zhao
2021	J	`jnl`	Social Group Query Based on Multi-fuzzy-constrained Strong Simulation. CoRR Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu
2020	J	`jnl`	A Deep Framework for Cross-Domain and Cross-System Recommendations. CoRR Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu
2020	A*	`conf`	A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. IJCAI Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
2020	J	`jnl`	Cloud-Based K-Closest Pairs Discovery in Dynamic Cyber-Physical-Social Systems. IEEE Access Junwen Lu, Guanfeng Liu, Xianmei Hua
2020	J	`jnl`	Geographical address representation learning for address matching. World Wide Web Shuangli Shan, Zhixu Li, Qiang Yang, An Liu, Lei Zhao, Guanfeng Liu, Zhigang Chen
2020	J	`jnl`	Graph-Based Node Finding in Big Complex Contextual Social Graphs. Complex. Keshou Wu, Guanfeng Liu, Junwen Lu
2020	J	`jnl`	Guest editorial: special issue on trust, privacy, and security in crowdsourcing computing. World Wide Web An Liu, Guanfeng Liu, Mehmet A. Orgun, Qing Li
2020	—	`conf`	MemTimes: Temporal Scoping of Facts with Memory Network. DASFAA (3) Siyuan Cao, Qiang Yang, Zhixu Li, Guanfeng Liu, Detian Zhang, Jiajie Xu
2020	A*	`conf`	Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing. ICDE Bolong Zheng, Chenze Huang, Christian S. Jensen, Lu Chen, Nguyen Quoc Viet Hung, Guanfeng Liu, Guohui Li, Kai Zheng
2020	J	`jnl`	Personalized Geographical Influence Modeling for POI Recommendation. IEEE Intell. Syst. Yanan Zhang, Guanfeng Liu, An Liu, Yifan Zhang, Zhixu Li, Xiangliang Zhang, Qing Li
2020	J	`jnl`	Preface to the Special Issue on Graph Data Management in Online Social Networks. World Wide Web Kai Zheng, Guanfeng Liu, Mehmet A. Orgun, Junping Du
2020	J	`jnl`	Privacy-preserving shared collaborative web services QoS prediction. J. Intell. Inf. Syst. An Liu, Xindi Shen, Haoran Xie, Zhixu Li, Guanfeng Liu, Jia-Jie Xu, Lei Zhao, Fu Lee Wang
2020	J	`jnl`	Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing. IEEE Trans. Knowl. Data Eng. Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou
2020	J	`jnl`	Searching Activity Trajectories by Exemplar. Trans. Data Sci. Zhong Yang, Bolong Zheng, Guohui Li, Nguyen Quoc Viet Hung, Guanfeng Liu, Kai Zheng
2020	J	`jnl`	Strong Social Graph Based Trust-Oriented Graph Pattern Matching With Multiple Constraints. IEEE Trans. Emerg. Top. Comput. Intell. Guanfeng Liu, Yurong Wang, Bolong Zheng, Zhixu Li, Kai Zheng
2020	J	`jnl`	Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. CoRR Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
2020	J	`jnl`	Temporal paths discovery with multiple constraints in attributed dynamic graphs. World Wide Web Anqi Zhao, Guanfeng Liu, Bolong Zheng, Yan Zhao, Kai Zheng
2020	J	`jnl`	Time-aspect-sentiment Recommendation Models Based on Novel Similarity Measure Methods. ACM Trans. Web Guohui Li, Qi Chen, Bolong Zheng, Nguyen Quoc Viet Hung, Pan Zhou, Guanfeng Liu
2020	J	`jnl`	Towards a Deep Attention-Based Sequential Recommender System. IEEE Access Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun, Guanfeng Liu
2020	A*	`conf`	Updates-Aware Graph Pattern based Node Matching. ICDE Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou
2020	J	`jnl`	Updates-Aware Graph Pattern based Node Matching. CoRR Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou
2020	J	`jnl`	User experience-driven secure task assignment in spatial crowdsourcing. World Wide Web Wei Peng, An Liu, Zhixu Li, Guanfeng Liu, Qing Li
2020	J	`jnl`	Weighted partial order oriented three-way decisions under score-based common voting rules. Int. J. Approx. Reason. Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang
2019	J	`jnl`	A novel hybrid publication recommendation system using compound information. World Wide Web Qiang Yang, Zhixu Li, An Liu, Guanfeng Liu, Lei Zhao, Xiangliang Zhang, Min Zhang, Xiaofang Zhou
2019	J	`jnl`	An efficient method for top-k graph based node matching. World Wide Web Guanfeng Liu, Qun Shi, Kai Zheng, An Liu, Zhixu Li, Xiaofang Zhou
2019	—	`conf`	Consensus with Voting Theory in Blockchain Environments. ICBK Lei Li, Yongkang Jiang, Guanfeng Liu
2019	J	`jnl`	Context-aware graph pattern based top-k designated nodes finding in social graphs. World Wide Web Guanfeng Liu, Qun Shi, Kai Zheng, Zhixu Li, An Liu, Jiajie Xu
2019	A*	`conf`	DMFP: A Dynamic Multi-faceted Fine-Grained Preference Model for Recommendation. ICDM Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, Kai Zheng
2019	A*	`conf`	DMRAN: A Hierarchical Fine-Grained Attention-Based Network for Recommendation. IJCAI Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng
2019	A	`conf`	DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. CIKM Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng
2019	A	`conf`	Deep Representation Learning of Activity Trajectory Similarity Computation. ICWS Yifan Zhang, An Liu, Guanfeng Liu, Zhixu Li, Qing Li
2019	J	`jnl`	Differential private collaborative Web services QoS prediction. World Wide Web An Liu, Xindi Shen, Zhixu Li, Guanfeng Liu, Jiajie Xu, Lei Zhao, Kai Zheng, Shuo Shang
2019	J	`jnl`	Enhancing User Experience of Task Assignment in Spatial Crowdsourcing: A Self-Adaptive Batching Approach. IEEE Access Lai Qian, Guanfeng Liu, Fei Zhu, Zhixu Li, Yu Wang, An Liu
2019	A*	`conf`	Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou
2019	—	`conf`	Leveraging Meta Information in Short Text Aggregation. ACL (1) He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine
2019	J	`jnl`	Location-Aware Web Service Composition Based on the Mixture Rank of Web Services and Web Service Requests. Complex. Junwen Lu, Guanfeng Liu, Keshou Wu, Wenjiang Qin
2019	J	`jnl`	Multi-Fuzzy-Objective Graph Pattern Matching with Big Graph Data. J. Database Manag. Lei Li, Fang Zhang, Guanfeng Liu
2019	J	`jnl`	Multi-Objective Optimization-Based Networked Multi-Label Active Learning. J. Database Manag. Lei Li, Yuqi Chu, Guanfeng Liu, Xindong Wu
2019	A*	`conf`	Preference-Aware Task Assignment in Spatial Crowdsourcing. AAAI Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng
2019	A*	`conf`	Profit-driven Task Assignment in Spatial Crowdsourcing. IJCAI Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng
2019	A*	`conf`	Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery. ICDM Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, Kai Zheng
2019	J	`jnl`	Social context-aware trust paths finding for trustworthy service provider selection in social media. Multim. Tools Appl. Junwen Lu, Guanfeng Liu, Bolong Zheng, Yan Zhao, Kai Zheng
2019	J	`jnl`	Towards secure and truthful task assignment in spatial crowdsourcing. World Wide Web Dongjun Zhai, Yue Sun, An Liu, Zhixu Li, Guanfeng Liu, Lei Zhao, Kai Zheng
2019	—	`conf`	Unsupervised Entity Alignment Using Attribute Triples and Relation Triples. DASFAA (1) Fuzhen He, Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, Zhigang Chen
2019	B	`conf`	WebEL: Improving Entity Linking with Extra Web Contexts. WISE Yiting Wang, Zhixu Li, Qiang Yang, Zhigang Chen, An Liu, Guanfeng Liu, Lei Zhao
2018	A*	`conf`	A Deep Framework for Cross-Domain and Cross-System Recommendations. IJCAI Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu
2018	—	`conf`	A Multi-Constrained Temporal Path Query System. ER Workshops Jiuchao Shi, Guanfeng Liu, Anqi Zhao, An Liu, Zhixu Li, Kai Zheng
2018	—	`conf`	A Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud. DASFAA (1) Jiuru Gao, Jiajie Xu, Guanfeng Liu, Wei Chen, Hongzhi Yin, Lei Zhao
2018	J	`jnl`	A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation. IEEE Access An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Qing Li, Xiaofang Zhou, Xiangliang Zhang
2018	—	`conf`	A Time-Aware Path-Based Publish/Subscribe Framework. DASFAA (1) Mengdi Jia, Yan Zhao, Bolong Zheng, Guanfeng Liu, Kai Zheng
2018	—	`conf`	Bootstrapped Multi-level Distant Supervision for Relation Extraction. WISE (1) Ying He, Zhixu Li, Guanfeng Liu, Fangfei Cao, Zhigang Chen, Ke Wang, Jie Ma
2018	J	`jnl`	Context-aware trust network extraction in large-scale trust-oriented social networks. World Wide Web Guanfeng Liu, Yi Liu, An Liu, Zhixu Li, Kai Zheng, Yan Wang, Xiaofang Zhou
2018	J	`jnl`	Discovering Functional Organized Point of Interest Groups for Spatial Keyword Recommendation. J. Comput. Sci. Technol. Yanxia Xu, Wei Chen, Jia-Jie Xu, Zhixu Li, Guanfeng Liu, Lei Zhao
2018	A*	`conf`	Incremental Graph Pattern Based Node Matching. ICDE Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Xiaofang Zhou
2018	J	`jnl`	MCS-GPM: Multi-Constrained Simulation Based Graph Pattern Matching in Contextual Social Graphs. IEEE Trans. Knowl. Data Eng. Guanfeng Liu, Yi Liu, Kai Zheng, An Liu, Zhixu Li, Yan Wang, Xiaofang Zhou
2018	—	`conf`	Modeling Travel Behavior Similarity with Trajectory Embedding. DASFAA (1) Wenyan Yang, Yan Zhao, Bolong Zheng, Guanfeng Liu, Kai Zheng
2018	—	`conf`	Towards Privacy-Preserving Travel-Time-First Task Assignment in Spatial Crowdsourcing. APWeb/WAIM (2) Jian Li, An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Lei Zhao, Kai Zheng
2017	J	`jnl`	A context-aware approach for trustworthy worker selection in social crowd. World Wide Web Yang Zhao, Guanfeng Liu, Kai Zheng, An Liu, Zhixu Li, Xiaofang Zhou
2017	—	`conf`	Anonymity-Based Privacy-Preserving Task Assignment in Spatial Crowdsourcing. WISE (2) Yue Sun, An Liu, Zhixu Li, Guanfeng Liu, Lei Zhao, Kai Zheng
2017	J	`jnl`	CAT: Context-Aware Trust-Oriented Worker Selection in Social Crowd. Comput. Informatics Yang Zhao, Guanfeng Liu, Kai Zheng, An Liu, Zhixu Li, Xiaofang Zhou
2017	A	`conf`	CNN-IETS: A CNN-based Probabilistic Approach for Information Extraction by Text Segmentation. CIKM Meng Hu, Zhixu Li, Yongxin Shen, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao
2017	J	`jnl`	Crowd-Guided Entity Matching with Consolidated Textual Data. J. Comput. Sci. Technol. Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Jia Zhu, Jia-Jie Xu, Kai Zheng, Min Zhang
2017	J	`jnl`	Effective and efficient trajectory outlier detection based on time-dependent popular route. World Wide Web Jie Zhu, Wei Jiang, An Liu, Guanfeng Liu, Lei Zhao
2017	J	`jnl`	Location-aware publish/subscribe index with complex boolean expressions. World Wide Web Pengpeng Zhao, Hanhan Jiang, Jiajie Xu, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, Zhiming Cui
2017	A	`conf`	Multi-Constrained Top-K Graph Pattern Matching in Contextual Social Graphs. ICWS Qun Shi, Guanfeng Liu, Kai Zheng, An Liu, Zhixu Li, Lei Zhao, Xiaofang Zhou
2017	—	`conf`	Outlier Trajectory Detection: A Trajectory Analytics Based Approach. DASFAA (1) Zhongjian Lv, Jiajie Xu, Pengpeng Zhao, Guanfeng Liu, Lei Zhao, Xiaofang Zhou
2017	J	`jnl`	Popularity-aware spatial keyword search on activity trajectories. World Wide Web Kai Zheng, Bolong Zheng, Jiajie Xu, Guanfeng Liu, An Liu, Zhixu Li
2017	—	`conf`	Privacy-Preserving Collaborative Web Services QoS Prediction via Differential Privacy. APWeb/WAIM (1) Shushu Liu, An Liu, Zhixu Li, Guanfeng Liu, Jiajie Xu, Lei Zhao, Kai Zheng
2017	J	`jnl`	Privacy-Preserving Task Assignment in Spatial Crowdsourcing. J. Comput. Sci. Technol. An Liu, Zhixu Li, Guanfeng Liu, Kai Zheng, Min Zhang, Qing Li, Xiangliang Zhang
2017	—	`conf`	Social Personalized Ranking Embedding for Next POI Recommendation. WISE (1) Yan Long, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Jiajie Xu, Jian Wu, Zhiming Cui
2017	A*	`conf`	The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract). ICDE Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou
2017	J	`jnl`	The Interaction Between Schema Matching and Record Matching in Data Integration. IEEE Trans. Knowl. Data Eng. Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou
2017	J	`jnl`	Web-ADARE: A web-aided data repairing system. Neurocomputing Binbin Gu, Zhixu Li, Qiang Yang, Qing Xie, An Liu, Guanfeng Liu, Kai Zheng, Xiangliang Zhang
2017	—	`conf`	When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System. DASFAA (1) Xiao Liu, An Liu, Xiangliang Zhang, Zhixu Li, Guanfeng Liu, Lei Zhao, Xiaofang Zhou
2016	—	`ed.`	2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016 BESC Gang Li, Yves Demazeau, Guandong Xu, Paul Wang, Leon S. L. Wang, Guanfeng Liu
2016	—	`conf`	A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaning. WAIM (2) Chunhua Li, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Guanfeng Liu, Jian Wu, Zhiming Cui
2016	—	`conf`	A Hybrid Method for POI Recommendation: Combining Check-In Count, Geographical Information and Reviews. APWeb (2) Xiefeng Xu, Pengpeng Zhao, Guanfeng Liu, Caidong Gu, Jiajie Xu, Jian Wu, Zhiming Cui
2016	A	`conf`	A Robust Approach to Finding Trustworthy Influencer in Trust-Oriented E-Commerce Environments. ICSOC Feng Zhu, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, An Liu, Zhixu Li, Kai Zheng
2016	—	`conf`	CTextEM: Using Consolidated Textual Data for Entity Matching. DASFAA (1) Qiang Yang, Zhixu Li, Binbin Gu, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao
2016	—	`conf`	Efficient Query Processing with Mutual Privacy Protection for Location-Based Services. DASFAA (2) Shushu Liu, An Liu, Lei Zhao, Guanfeng Liu, Zhixu Li, Pengpeng Zhao, Kai Zheng, Lu Qin
2016	J	`jnl`	Pair-Wise Collision-Based Underwater Time Synchronization. J. Netw. Syst. Manag. Ying Guo, Yutao Liu, Guanfeng Liu, Xin Wang
2016	J	`jnl`	Privacy-Preserving Collaborative Web Services QoS Prediction via Yao's Garbled Circuits and Homomorphic Encryption. J. Web Eng. Lu Li, An Liu, Qing Li, Liusheng Huang, Wei Yang, Guanfeng Liu
2016	A	`conf`	Strong Social Component-Aware Trust Sub-network Extraction in Contextual Social Networks. ICWS Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Xiaoming Zheng, An Liu, Zhixu Li, Kai Zheng
2016	J	`jnl`	TOSI: A trust-oriented social influence evaluation method in contextual social networks. Neurocomputing Guanfeng Liu, Feng Zhu, Kai Zheng, An Liu, Zhixu Li, Lei Zhao, Xiaofang Zhou
2016	—	`ed.`	Web Technologies and Applications - 18th Asia-Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part I APWeb (1) Feifei Li, Kyuseok Shim, Kai Zheng, Guanfeng Liu
2016	—	`ed.`	Web Technologies and Applications - 18th Asia-Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part II APWeb (2) Feifei Li, Kyuseok Shim, Kai Zheng, Guanfeng Liu
2015	A	`conf`	A Context-Aware Trust-Oriented Influencers Finding in Online Social Networks. ICWS Feng Zhu, Guanfeng Liu, Yan Wang, An Liu, Zhixu Li, Pengpeng Zhao, Lei Li
2015	C	`conf`	A Multiple Trust Paths Selection Tool in Contextual Online Social Networks. APWeb Linlin Ma, Guanfeng Liu, Guohao Sun, Lei Li, Zhixu Li, An Liu, Lei Zhao
2015	C	`conf`	A Secure and Efficient Framework for Privacy Preserving Social Recommendation. APWeb Shushu Liu, An Liu, Guanfeng Liu, Zhixu Li, Jiajie Xu, Pengpeng Zhao, Lei Zhao
2015	—	`conf`	An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions. WISE (1) Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, Zhiming Cui
2015	—	`conf`	An Efficient Method to Find the Optimal Social Trust Path in Contextual Social Graphs. DASFAA (2) Guanfeng Liu, Lei Zhao, Kai Zheng, An Liu, Jiajie Xu, Zhixu Li, Athman Bouguettaya
2015	—	`conf`	Batch Mode Active Learning for Networked Data with Optimal Subset Selection. WAIM Haihui Xu, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Lei Zhao, Jian Wu, Zhiming Cui
2015	—	`conf`	Core Network Based Multi-label Classification in Large-Scale Social Network Environments. ICDM Workshops Zan Zhang, Hao Wang, Lei Li, Guanfeng Liu
2015	—	`conf`	Discovering Organized POI Groups in a City. DASFAA Workshops Yanxia Xu, Guanfeng Liu, Hongzhi Yin, Jiajie Xu, Kai Zheng, Lei Zhao
2015	A*	`conf`	Efficient secure similarity computation on encrypted trajectory data. ICDE An Liu, Kai Zheng, Lu Li, Guanfeng Liu, Lei Zhao, Xiaofang Zhou
2015	J	`jnl`	Evaluation of nine heuristic algorithms with data-intensive jobs and computing-intensive jobs in a dynamic environment. IET Softw. Yongsheng Hao, Guanfeng Liu
2015	C	`conf`	HouseIn: A Housing Rental Platform with Non-redundant Information Integrated from Multiple Sources. APWeb Jian Zhou, Zhixu Li, Qiang Yang, Jun Jiang, Jia Zhu, An Liu, Guanfeng Liu, Lei Zhao
2015	A*	`conf`	Multi-Constrained Graph Pattern Matching in large-scale contextual social graphs. ICDE Guanfeng Liu, Kai Zheng, Yan Wang, Mehmet A. Orgun, An Liu, Lei Zhao, Xiaofang Zhou
2015	—	`conf`	NokeaRM: Employing Non-key Attributes in Record Matching. WAIM Qiang Yang, Zhixu Li, Jun Jiang, Pengpeng Zhao, Guanfeng Liu, An Liu, Jia Zhu
2015	—	`conf`	On Efficient Passenger Assignment for Group Transportation. DASFAA (1) Jiajie Xu, Guanfeng Liu, Kai Zheng, Chengfei Liu, Haoming Guo, Zhiming Ding
2015	C	`conf`	PPS-POI-Rec: A Privacy Preserving Social Point-of-Interest Recommender System. APWeb Xiao Liu, An Liu, Guanfeng Liu, Zhixu Li, Jiajie Xu, Pengpeng Zhao, Lei Zhao
2015	J	`jnl`	Performance Analysis of Gang Scheduling in a Grid. J. Netw. Syst. Manag. Yongsheng Hao, Guanfeng Liu, Rongtao Hou, Yongsheng Zhu, Junwen Lu
2015	—	`conf`	Ranking-Based Multi-source Rating Aggregation with Social Contexts. ICDM Workshops Lei Li, Qin Liang, Guanfeng Liu
2015	—	`conf`	SmartInt: A Demonstration System for the Interaction Between Schema Mapping and Record Matching. WAIM Jun Jiang, Zhixu Li, Qiang Yang, Pengpeng Zhao, Guanfeng Liu, Lei Zhao
2015	—	`conf`	Social Community-Oriented Social Attribute Analysis: An Empirical Study on QQ Group Data. SmartCity Lei Li, Di Ma, Guanfeng Liu
2015	J	`jnl`	Social context-aware trust inference for trust enhancement in social network based recommendations on service providers. World Wide Web Yan Wang, Lei Li, Guanfeng Liu
2015	Misc	`conf`	TK-SK: Textual-Restricted K Spatial Keyword Query on Road Networks. ADC Xiaopeng Kuang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Zhixu Li, Guanfeng Liu, Zhiming Cui
2015	—	`conf`	Time-Dependent Popular Routes Based Trajectory Outlier Detection. WISE (1) Jie Zhu, Wei Jiang, An Liu, Guanfeng Liu, Lei Zhao
2015	J	`jnl`	Trip Oriented Search on Activity Trajectory. J. Comput. Sci. Technol. Wei Chen, Lei Zhao, Jiajie Xu, Guanfeng Liu, Kai Zheng, Xiaofang Zhou
2014	C	`conf`	A Social Trust Path Recommendation System in Contextual Online Social Networks. APWeb Guohao Sun, Guanfeng Liu, Lei Zhao, Jiajie Xu, An Liu, Xiaofang Zhou
2014	A	`conf`	An Efficient Multiple Trust Paths Finding Algorithm for Trustworthy Service Provider Selection in Real-Time Online Social Network Environments. ICWS Guanfeng Liu, An Liu, Yan Wang, Lei Li
2014	—	`conf`	An Efficient Trust-Oriented Trip Planning Method in Road Networks. UIC/ATC/ScalCom Junqiang Dai, Guanfeng Liu, Jiajie Xu, An Liu, Lei Zhao, Xiaofang Zhou
2014	—	`conf`	An Evolution-Based Robust Social Influence Evaluation Method in Online Social Networks. WISE (2) Feng Zhu, Guanfeng Liu, An Liu, Lei Zhao, Xiaofang Zhou
2014	B	`conf`	Extremal optimization-based semi-supervised algorithm with conflict pairwise constraints for community detection. ASONAM Lei Li, Mei Du, Guanfeng Liu, Xuegang Hu, Gong-Qing Wu
2014	—	`conf`	Misclassification Minimization Based on Multiple Criteria Linear Programming. ICDM Workshops Bo Wang, Yong Shi, Wayne Wei Huang, Guanfeng Liu
2014	—	`conf`	Rating Aware Route Planning in Road Networks. WAIM Workshops Junqiang Dai, Wei Jiang, Guanfeng Liu, Jiajie Xu, Lei Zhao, An Liu
2014	—	`conf`	Rating Propagation in Web Services Reputation Systems: A Fast Shapley Value Approach. DASFAA (1) An Liu, Qing Li, Xiaofang Zhou, Lu Li, Guanfeng Liu, Yunjun Gao
2014	A	`conf`	Social Context-Aware Trust Prediction in Social Networks. ICSOC Xiaoming Zheng, Yan Wang, Mehmet A. Orgun, Guanfeng Liu, Haibin Zhang
2014	A*	`conf`	Trust Prediction with Propagation and Similarity Regularization. AAAI Xiaoming Zheng, Yan Wang, Mehmet A. Orgun, Youliang Zhong, Guanfeng Liu
2014	—	`ch.`	Trust-Oriented Service Provider Selection in Complex Online Social Networks. Advanced Web Services Guanfeng Liu, Yan Wang
2013	J	`jnl`	Finding the Optimal Social Trust Path for the Selection of Trustworthy Service Providers in Complex Social Networks. IEEE Trans. Serv. Comput. Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Ee-Peng Lim
2012	J	`jnl`	An enhanced load balancing mechanism based on deadline control on GridSim. Future Gener. Comput. Syst. Yongsheng Hao, Guanfeng Liu, Na Wen
2012	—	`conf`	Computing Resources Market in Grid and Cloud Based on Contract Management. ICEBE Yinghua Sun, Zhehui Wu, Guanfeng Liu, Zhenkuan Pan
2012	A	`conf`	Discovering Trust Networks for the Selection of Trustworthy Service Providers in Complex Contextual Social Networks. ICWS Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Huan Liu
2012	B	`conf`	Multiple QoT Constrained Social Trust Path Selection in Complex Social Networks. TrustCom Guanfeng Liu, Yan Wang, Duncan S. Wong
2012	A*	`conf`	Social Context-Aware Trust Network Discovery in Complex Contextual Social Networks. AAAI Guanfeng Liu, Yan Wang, Mehmet A. Orgun
2011	A	`conf`	Finding K Optimal Social Trust Paths for the Selection of Trustworthy Service Providers in Complex Social Networks. ICWS Guanfeng Liu, Yan Wang, Mehmet A. Orgun
2011	A*	`conf`	Trust Transitivity in Complex Social Networks. AAAI Guanfeng Liu, Yan Wang, Mehmet A. Orgun
2010	—	`conf`	A Heuristic Algorithm for Trust-Oriented Service Provider Selection in Complex Social Networks. IEEE SCC Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Ee-Peng Lim
2010	A*	`conf`	Optimal Social Trust Path Selection in Complex Social Networks. AAAI Guanfeng Liu, Yan Wang, Mehmet A. Orgun
2010	A	`conf`	Quality of trust for social trust path selection in complex social networks. AAMAS Guanfeng Liu, Yan Wang, Mehmet A. Orgun
2009	—	`conf`	A New QoS Guaranteed Mechanism Based on SLA in Grid Market. PACCS Xiaohang Wang, Yuebin Xu, Guanfeng Liu, Zhenkuan Pan, Junyan Wang
2009	—	`conf`	A New Resource Pricing Fluctuation Model with Trust System in Grid Economy. MUE Shanzhou Ma, Guanfeng Liu, Yuebin Xu, Zhenkuan Pan, Junyan Wang, Jun Ji
2009	—	`conf`	A New Trust Mechanism with Penalty and Bonus Based on Agent in Grid Market. MUE Junyan Wang, Yuebin Xu, Zhenkuan Pan, Guanfeng Liu, Shanzhou Ma
2009	—	`conf`	Trust Inference in Complex Trust-Oriented Social Networks. CSE (4) Guanfeng Liu, Yan Wang, Mehmet A. Orgun
2008	C	`conf`	A Distributed Reputation Control Architecture Based on Virtual Organizational Domains in the Grid Economy. PDP Zhenkuan Pan, Guanfeng Liu, Yuebin Xu
2008	—	`conf`	A New Grid Resource Management Mechanism Based on D-S Theory. MUE Yongsheng Hao, Yuebin Xu, Guanfeng Liu, Zhenkuan Pan
2008	—	`conf`	A New Resource Discovery Mechanism with Negotiate Solution Based on Agent in Grid Environments. GPC Workshops Junyan Wang, Yuebin Xu, Guanfeng Liu, Zhenkuan Pan, Yongsheng Hao
2008	—	`conf`	An Agglomerative Hierarchical Clustering Based High-Resolution Remote Sensing Image Segmentation Algorithm. CSSE (4) Rongjie Liu, Jie Zhang, Pingjian Song, Fengjing Shao, Guanfeng Liu
2008	—	`conf`	Application of Mobile Agent Framework in the Campus Data Grid Architecture. ICNSC Guanfeng Liu, Yuebin Xu, Zhenkuan Pan, Xiangxiang Meng
2008	J	`jnl`	Efficient Algorithms to Explore Conformation Spaces of Flexible Protein Loops. IEEE ACM Trans. Comput. Biol. Bioinform. Peggy Yao, Ankur Dhanik, Nathan Marz, Ryan Propper, Charles Kou, Guanfeng Liu, Henry van den Bedem, Jean-Claude Latombe, Inbal Halperin-Landsberg, Russ B. Altman
2008	J	`jnl`	On the structure of the inverse kinematics map of a fragment of protein backbone. J. Comput. Chem. R. James Milgram, Guanfeng Liu, Jean-Claude Latombe
2008	J	`jnl`	Randomized Optimal Design of Parallel Manipulators. IEEE Trans Autom. Sci. Eng. Yunjiang Lou, Guanfeng Liu, Zexiang Li
2007	J	`jnl`	A Geometric Theory for Analysis and Synthesis of Sub-6 DoF Parallel Manipulators. IEEE Trans. Robotics Jian Meng, Guanfeng Liu, Zexiang Li
2007	—	`conf`	A New Grid Economy Architecture with Resources Pricing Fluctuation Module. GCC Guanfeng Liu, Yuebin Xu
2007	—	`conf`	A new resource selection approach based on reputation driven Min-min algorithm in the grid economy. China HPC Guanfeng Liu, Yuebin Xu, Shanzhou Ma
2007	C	`conf`	Efficient Algorithms to Explore Conformation Spaces of Flexible Protein Loops. WABI Ankur Dhanik, Peggy Yao, Nathan Marz, Ryan Propper, Charles Kou, Guanfeng Liu, Henry van den Bedem, Jean-Claude Latombe
2006	—	`conf`	On the inverse kinematics of a fragment of protein backbone. ARK Guanfeng Liu, R. James Milgram, Ankur Dhanik, Jean-Claude Latombe
2005	A*	`conf`	A Geometric Theory for Synthesis and Analysis of Sub-6 DoF Parallel Manipulators. ICRA Jian Meng, Guanfeng Liu, Zexiang Li
2005	A*	`conf`	A Geometric Theory for Synthesis and Analysis of Sub-6 DoF Serial Manipulator Subchains. ICRA Jian Meng, Guanfeng Liu, Zexiang Li