Guanfeng Liu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 171

Top Venues

CoRR

World Wide Web

IEEE Trans. Knowl. Data Eng.

DASFAA (1)

Publications

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) (2024)
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) (2024)
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) (2024)
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM (2024)
Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Adeem Ali Anwar, Guanfeng Liu, Xuyun Zhang
Solving Many-Objective Optimization Problems Using Selection Hyper-Heuristics. ICAART (3) (2024)
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) (2024)
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)
Pengfei Ding, Yan Wang, Guanfeng Liu
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects. CoRR (2024)
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)
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) (2024)
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 (2023)
Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
Sequential Recommendation with Probabilistic Logical Reasoning. IJCAI (2023)
Yuanjun Liu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao
Towards Effective Trajectory Similarity Measure in Linear Time. DASFAA (1) (2023)
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 (2023)
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR (2023)
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 (2023)
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) (2023)
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 (2023)
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)
Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR (2023)
Mingzhi Liu, Guanfeng Liu, Lijun Sun
Spatial-temporal dependence and similarity aware traffic flow forecasting. Inf. Sci. 625 (2023)
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) (2023)
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 (2023)
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)
Pengfei Ding, Yan Wang, Guanfeng Liu
Cross-heterogeneity Graph Few-shot Learning. CoRR (2023)
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)
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)
Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Xuyun Zhang
A Preference-Based Indicator Selection Hyper-Heuristic for Optimization Problems. ADMA (1) (2023)
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)
Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
Sequential Recommendation with Probabilistic Logical Reasoning. CoRR (2023)
Wei He, Guohao Sun, Jinhu Lu, Xiu Fang, Guanfeng Liu, Jian Yang
Refined Node Type Graph Convolutional Network for Recommendation. ADMA (1) (2023)
Tong Yu, Guanfeng Liu, An Liu, Zhixu Li, Lei Zhao
LIFOSS: a learned index scheme for streaming scenarios. World Wide Web (WWW) 26 (1) (2023)
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) (2023)
Pengfei Ding, Yan Wang, Guanfeng Liu
Cross-heterogeneity Graph Few-shot Learning. CIKM (2023)
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 (2023)
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) (2023)
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 (2023)
Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou
Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
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) (2023)
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) (2023)
Xiaotong Xu, An Liu, Guanfeng Liu, Jiajie Xu, Lei Zhao
Acceptance-Aware Multi-platform Cooperative Matching in Spatial Crowdsourcing. ICSOC (2022)
Rongwei Xu, Guanfeng Liu, Xianmei Hua, Shiqi Ye, Xuyun Zhang, Junwen Lu
Attention-aware Multi-hop Trust Inference in Online Social Networks. DSAA (2022)
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) (2022)
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) (2022)
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 (2022)
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)
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) (2022)
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)
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) (2022)
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) (2022)
Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs. CoRR (2022)
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 (2022)
Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
Quaternion-Based Graph Contrastive Learning for Recommendation. IJCNN (2022)
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) (2022)
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 (2022)
Junwen Lu, Jinhui Wang, Xiaojun Wei, Keshou Wu, Guanfeng Liu
Deep Anomaly Detection Based on Variational Deviation Network. Future Internet 14 (3) (2022)
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)
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI (2021)
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) (2021)
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)
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)
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 (2021)
Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu
Social Group Query Based on Multi-fuzzy-constrained Strong Simulation. CoRR (2021)
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) (2021)
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 (2021)
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR (2021)
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 (2020)
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)
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) (2020)
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) (2020)
Junwen Lu, Guanfeng Liu, Xianmei Hua
Cloud-Based K-Closest Pairs Discovery in Dynamic Cyber-Physical-Social Systems. IEEE Access 8 (2020)
Zhong Yang, Bolong Zheng, Guohui Li, Nguyen Quoc Viet Hung, Guanfeng Liu, Kai Zheng
Searching Activity Trajectories by Exemplar. Trans. Data Sci. 1 (3) (2020)
Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou
Updates-Aware Graph Pattern based Node Matching. CoRR (2020)
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) (2020)
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) (2020)
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) (2020)
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu
A Deep Framework for Cross-Domain and Cross-System Recommendations. CoRR (2020)
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation. IJCAI (2020)
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) (2020)
Wei Peng, An Liu, Zhixu Li, Guanfeng Liu, Qing Li
User experience-driven secure task assignment in spatial crowdsourcing. World Wide Web 23 (3) (2020)
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) (2020)
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) (2020)
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) (2020)
Keshou Wu, Guanfeng Liu, Junwen Lu
Graph-Based Node Finding in Big Complex Contextual Social Graphs. Complex. 2020 (2020)
Guohao Sun, Guanfeng Liu, Yan Wang, Xiaofang Zhou
Updates-Aware Graph Pattern based Node Matching. ICDE (2020)
Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Mehmet A. Orgun, Guanfeng Liu
Towards a Deep Attention-Based Sequential Recommender System. IEEE Access 8 (2020)
Siyuan Cao, Qiang Yang, Zhixu Li, Guanfeng Liu, Detian Zhang, Jiajie Xu
MemTimes: Temporal Scoping of Facts with Memory Network. DASFAA (3) (2020)
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 (2019)
Lei Li, Fang Zhang, Guanfeng Liu
Multi-Fuzzy-Objective Graph Pattern Matching with Big Graph Data. J. Database Manag. 30 (4) (2019)
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)
Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng
Preference-Aware Task Assignment in Spatial Crowdsourcing. AAAI (2019)
Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. CIKM (2019)
Yiting Wang, Zhixu Li, Qiang Yang, Zhigang Chen, An Liu, Guanfeng Liu, Lei Zhao
WebEL: Improving Entity Linking with Extra Web Contexts. WISE (2019)
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) (2019)
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)
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) (2019)
Yifan Zhang, An Liu, Guanfeng Liu, Zhixu Li, Qing Li
Deep Representation Learning of Activity Trajectory Similarity Computation. ICWS (2019)
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) (2019)
Lei Li, Yuqi Chu, Guanfeng Liu, Xindong Wu
Multi-Objective Optimization-Based Networked Multi-Label Active Learning. J. Database Manag. 30 (2) (2019)

Guanfeng Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Guanfeng Liu