Vincent Wenchen Zheng

According to our database, Vincent Wenchen Zheng authored at least 89 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Neighbor-Anchoring Adversarial Graph Neural Networks.

Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng

IEEE Trans. Knowl. Data Eng., 2023

2022

CMKT: Concept Map Driven Knowledge Tracing.

Yu Lu, Penghe Chen, Yang Pian, Vincent W. Zheng

IEEE Trans. Learn. Technol., 2022

Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract).

Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Metagraph-Based Learning on Heterogeneous Graphs.

Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li

IEEE Trans. Knowl. Data Eng., 2021

Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling.

Yugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang

ACM Trans. Knowl. Discov. Data, 2021

Social explorative attention based recommendation for content distribution platforms.

Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang

Data Min. Knowl. Discov., 2021

Practical and Secure Federated Recommendation with Personalized Masks.

Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen, Qiang Yang

CoRR, 2021

Federated Knowledge Graphs Embedding.

Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li

CoRR, 2021

Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks.

Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Differentially Private Federated Knowledge Graphs Embedding.

Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Subgraph Convolutional Network for Recommendation.

Yan Zhao, Lianming Zhou, Liwei Deng, Vincent W. Zheng, Hongzhi Yin, Kai Zheng

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020

Federated Recommendation Systems.

Liu Yang, Ben Tan, Vincent W. Zheng, Kai Chen, Qiang Yang

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Electricity Theft Pinpointing Through Correlation Analysis of Master and Individual Meter Readings.

Partha P. Biswas, Hongyun Cai, Bin Zhou, Binbin Chen, Daisuke Mashima, Vincent W. Zheng

IEEE Trans. Smart Grid, 2020

Adam revisited: a weighted past gradients perspective.

Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen

Frontiers Comput. Sci., 2020

Privacy Threats Against Federated Matrix Factorization.

Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang

CoRR, 2020

Modeling Marked Temporal Point Process Using Multi-relation Structure RNN.

Hongyun Cai, Thanh Tung Nguyen, Yan Li, Vincent W. Zheng, Binbin Chen, Gao Cong, Xiaoli Li

Cogn. Comput., 2020

Vertex-reinforced Random Walk for Network Embedding.

Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

A Federated Recommender System for Online Services.

Ben Tan, Bo Liu, Vincent W. Zheng, Qiang Yang

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

A Survey of Zero-Shot Learning: Settings, Methods, and Applications.

Wei Wang, Vincent W. Zheng, Han Yu, Chunyan Miao

ACM Trans. Intell. Syst. Technol., 2019

Embedding Both Finite and Infinite Communities on Graphs [Application Notes].

Sandro Cavallari, Erik Cambria, Hongyun Cai, Kevin Chen-Chuan Chang, Vincent W. Zheng

IEEE Comput. Intell. Mag., 2019

Harnessing the Power of the General Public for Crowdsourced Business Intelligence: A Survey.

Bin Guo, Yan Liu, Yi Ouyang, Vincent W. Zheng, Daqing Zhang, Zhiwen Yu

IEEE Access, 2019

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction.

Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Hidden POI Ranking with Spatial Crowdsourcing.

Yue Cui, Liwei Deng, Yan Zhao, Bin Yao, Vincent W. Zheng, Kai Zheng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

An Attention-Based Model for Learning Dynamic Interaction Networks.

Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai

Proceedings of the International Joint Conference on Neural Networks, 2019

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.

Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.

Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications.

Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang

IEEE Trans. Knowl. Data Eng., 2018

Authenticity and credibility aware detection of adverse drug events from social media.

Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li

Int. J. Medical Informatics, 2018

KnowEdu: A System to Construct Knowledge Graph for Education.

Penghe Chen, Yu Lu, Vincent W. Zheng, Xiyang Chen, Boda Yang

IEEE Access, 2018

Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network.

Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Sequential context modeling for smart devices by Collaborative Hidden Markov Model.

Miao Lin, Vincent W. Zheng, Shili Xiang

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Unsupervised Multi-view Nonlinear Graph Embedding.

Jiaming Huang, Zhao Li, Vincent W. Zheng, Wen Wen, Yifan Yang, Yuanmi Chen

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Robust Asymmetric Recommendation via Min-Max Optimization.

Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Adaptive Attention Network for Review Sentiment Classification.

Chuantao Zong, Wenfeng Feng, Vincent W. Zheng, Hankz Hankui Zhuo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

An automatic knowledge graph construction system for K-12 education.

Penghe Chen, Yu Lu, Vincent W. Zheng, Xiyang Chen, Xiaoqing Li

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs.

Zemin Liu, Vincent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu, Jing Ying

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

High-order Proximity Preserving Information Network Hashing.

Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Engineering Graph Features via Network Functional Blocks.

Vincent W. Zheng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment.

Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang

Proceedings of the IEEE International Conference on Data Mining, 2018

Prerequisite-Driven Deep Knowledge Tracing.

Penghe Chen, Yu Lu, Vincent W. Zheng, Yang Pian

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Transfer Learning for Cross-domain Activity Recognition.

Jindong Wang, Vincent W. Zheng, Yiqiang Chen, Meiyu Huang

Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution.

Carl Yang, Mengxiong Liu, Vincent W. Zheng, Jiawei Han

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs.

Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

From Community Detection to Community Profiling.

Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang

Proc. VLDB Endow., 2017

CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban Data.

Bin Guo, Jing Li, Vincent W. Zheng, Zhu Wang, Zhiwen Yu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Active Learning for Graph Embedding.

Hongyun Cai, Vincent Wenchen Zheng, Kevin Chen-Chuan Chang

CoRR, 2017

Link Prediction via Ranking Metric Dual-Level Attention Network Learning.

Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Topological Recurrent Neural Network for Diffusion Prediction.

Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

SocialLens: Searching and Browsing Communities by Content and Interaction.

Hongyun Cai, Vincent Wenchen Zheng, Penghe Chen, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Learning Word Vectors in Deep Walk using Convolution.

Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Vincent Wenchen Zheng

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings.

Wei Yang, Wei Lu, Vincent W. Zheng

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Enhancing Anomaly Diagnosis of Automatic Train Supervision System Based on Operation Log.

Yan Li, Binbin Chen, Vincent W. Zheng, William G. Temple, Zbigniew Kalbarczyk, Yue Wu

Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2017

Learning Community Embedding with Community Detection and Node Embedding on Graphs.

Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning.

Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding.

Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

From Node Embedding To Community Embedding.

Vincent W. Zheng, Sandro Cavallari, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria

CoRR, 2016

Detecting signals of detrimental prescribing cascades from social media.

Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li

Artif. Intell. Medicine, 2016

Learning to query: Focused web page harvesting for entity aspects.

Yuan Fang, Vincent W. Zheng, Kevin Chen-Chuan Chang

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Semantic proximity search on graphs with metagraph-based learning.

Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning.

Vincent Wenchen Zheng, Kevin Chen-Chuan Chang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Cold-Start Heterogeneous-Device Wireless Localization.

Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs.

Dingqi Yang, Daqing Zhang, Vincent W. Zheng, Zhiyong Yu

IEEE Trans. Syst. Man Cybern. Syst., 2015

Mobility Profiling for User Verification with Anonymized Location Data.

Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Aggressive Graph-Based Selective Sampling Algorithm for Classification.

Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality.

Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Mobile user verification/identification using statistical mobility profile.

Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy

Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2013

Collaborative filtering meets next check-in location prediction.

Defu Lian, Vincent Wenchen Zheng, Xing Xie

Proceedings of the 22nd International World Wide Web Conference, 2013

Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels.

Kai Zhang, Vincent Wenchen Zheng, Qiaojun Wang, James Tin-Yau Kwok, Qiang Yang, Ivan Marsic

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Integrated QSAR study for inhibitors of hedgehog signal pathway against multiple cell lines: a collaborative filtering method.

Jun Gao, Dongsheng Che, Vincent Wenchen Zheng, Ruixin Zhu, Qi Liu

BMC Bioinform., 2012

Towards mobile intelligence: Learning from GPS history data for collaborative recommendation.

Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang

Artif. Intell., 2012

2011

Cross-domain activity recognition via transfer learning.

Derek Hao Hu, Vincent Wenchen Zheng, Qiang Yang

Pervasive Mob. Comput., 2011

Transfer Learning by Reusing Structured Knowledge.

Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz Hankui Zhuo

AI Mag., 2011

User-Dependent Aspect Model for Collaborative Activity Recognition.

Vincent Wenchen Zheng, Qiang Yang

Proceedings of the IJCAI 2011, 2011

Activity Recognition from Trajectory Data.

Yin Zhu, Vincent Wenchen Zheng, Qiang Yang

Proceedings of the Computing with Spatial Trajectories, 2011

2010

Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study.

Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, Zhi-Wei Cao, Qiang Yang

BMC Bioinform., 2010

Collaborative location and activity recommendations with GPS history data.

Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang

Proceedings of the 19th International Conference on World Wide Web, 2010

Indoor localization in multi-floor environments with reduced effort.

Hua-Yan Wang, Vincent Wenchen Zheng, Junhui Zhao, Qiang Yang

Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach.

Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors.

Vincent Wenchen Zheng, Junhui Zhao, Yongcai Wang, Qiang Yang

Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

Abnormal Activity Recognition Based on HDP-HMM Models.

Derek Hao Hu, Xian-Xing Zhang, Jie Yin, Vincent Wenchen Zheng, Qiang Yang

Proceedings of the IJCAI 2009, 2009

Cross-domain activity recognition.

Vincent Wenchen Zheng, Derek Hao Hu, Qiang Yang

Proceedings of the UbiComp 2009: Ubiquitous Computing, 2009

Joint learning user's activities and profiles from GPS data.

Vincent Wenchen Zheng, Yu Zheng, Qiang Yang

Proceedings of the 2009 International Workshop on Location Based Social Networks, 2009

2008

Estimating Location Using Wi-Fi.

Qiang Yang, Sinno Jialin Pan, Vincent Wenchen Zheng

IEEE Intell. Syst., 2008

Digital Wall: A Power-efficient Solution for Location-based Data Sharing.

Jeffrey Junfeng Pan, Sinno Jialin Pan, Vincent Wenchen Zheng, Qiang Yang

Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008

Real world activity recognition with multiple goals.

Derek Hao Hu, Sinno Jialin Pan, Vincent Wenchen Zheng, Nathan Nan Liu, Qiang Yang

Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Transferring Localization Models over Time.

Vincent Wenchen Zheng, Evan Wei Xiang, Qiang Yang, Dou Shen

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transferring Multi-device Localization Models using Latent Multi-task Learning.

Vincent Wenchen Zheng, Sinno Jialin Pan, Qiang Yang, Jeffrey Junfeng Pan

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

A Joint Power Control, Link Scheduling and Rate Control Algorithm for Wireless Ad Hoc Networks.

Vincent Wenchen Zheng, Xinming Zhang, Daoke Liu, Dan Keun Sung

Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

Domain-constrained semi-supervised mining of tracking models in sensor networks.

Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Sinno Jialin Pan, Qiang Yang

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007