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Depeng Jin
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2020 – today
- 2023
- [j167]Chen Gao
, Tzu-Heng Lin
, Nian Li, Depeng Jin, Yong Li
:
Cross-Platform Item Recommendation for Online Social E-Commerce. IEEE Trans. Knowl. Data Eng. 35(2): 1351-1364 (2023) - [j166]Yu Zheng, Chen Gao
, Xiangnan He
, Depeng Jin, Yong Li
:
Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35(2): 1609-1623 (2023) - [j165]Yuan Yuan, Fengli Xu, Hancheng Cao, Guozhen Zhang
, Pan Hui
, Yong Li
, Depeng Jin:
Persuade to Click: Context-Aware Persuasion Model for Online Textual Advertisement. IEEE Trans. Knowl. Data Eng. 35(2): 1938-1951 (2023) - 2022
- [j164]Shuodi Hui
, Huandong Wang
, Dianlei Xu
, Jing Wu, Yong Li
, Depeng Jin:
Distinguishing Between Smartphones and IoT Devices via Network Traffic. IEEE Internet Things J. 9(2): 1182-1196 (2022) - [j163]Fuxian Li
, Jie Feng
, Huan Yan
, Depeng Jin
, Yong Li
:
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network. ACM Trans. Intell. Syst. Technol. 13(5): 81:1-81:14 (2022) - [j162]Chen Gao
, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [j161]Huandong Wang, Yong Li, Junjie Lin, Hancheng Cao, Depeng Jin:
Context-Aware Semantic Annotation of Mobility Records. ACM Trans. Knowl. Discov. Data 16(3): 47:1-47:20 (2022) - [j160]Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin:
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data 16(3): 49:1-49:21 (2022) - [j159]Jie Feng, Yong Li
, Zeyu Yang, Mingyang Zhang
, Huandong Wang
, Hancheng Cao, Depeng Jin:
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. IEEE Trans. Knowl. Data Eng. 34(2): 954-968 (2022) - [j158]Jie Feng, Yong Li
, Zeyu Yang, Qiang Qiu, Depeng Jin:
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2360-2374 (2022) - [j157]Chen Gao
, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin
, Depeng Jin, Yong Li
:
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. IEEE Trans. Knowl. Data Eng. 34(6): 2798-2809 (2022) - [j156]Chen Gao
, Nian Li, Tzu-Heng Lin
, Dongsheng Lin, Jun Zhang
, Yong Li
, Depeng Jin:
Social Recommendation With Characterized Regularization. IEEE Trans. Knowl. Data Eng. 34(6): 2921-2933 (2022) - [j155]Erzhuo Shao, Huandong Wang
, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li
:
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. IEEE Trans. Knowl. Data Eng. 34(12): 5693-5707 (2022) - [j154]Dianlei Xu
, Huandong Wang
, Yong Li
, Sasu Tarkoma
, Depeng Jin, Pan Hui
:
IoT vs. Human: A Comparison of Mobility. IEEE Trans. Mob. Comput. 21(4): 1257-1273 (2022) - [j153]Jie Feng, Yong Li
, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang
, Depeng Jin:
DeepMM: Deep Learning Based Map Matching With Data Augmentation. IEEE Trans. Mob. Comput. 21(7): 2372-2384 (2022) - [c154]Zefang Zong, Meng Zheng, Yong Li, Depeng Jin:
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems. AAAI 2022: 9980-9988 - [c153]Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin:
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. CIKM 2022: 1084-1093 - [c152]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM 2022: 1209-1218 - [c151]Jun Zhang, Depeng Jin, Yong Li:
Mirage: an efficient and extensible city simulation framework (systems paper). SIGSPATIAL/GIS 2022: 16:1-16:4 - [c150]Changzheng Gao, Tao Feng, Huandong Wang, Depeng Jin, Junlan Feng, Xing Wang, Lin Zhu, Chao Deng:
A Multi-scale Ensemble Learning Model for Cellular Traffic Prediction. GLOBECOM 2022: 209-214 - [c149]Qiaohong Yu, Huandong Wang, Tong Li, Depeng Jin, Xing Wang, Lin Zhu, Junlan Feng, Chao Deng:
Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks. ICC Workshops 2022: 885-890 - [c148]Guozhen Zhang, Zihan Yu, Depeng Jin, Yong Li:
Physics-infused Machine Learning for Crowd Simulation. KDD 2022: 2439-2449 - [c147]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Automatically Discovering User Consumption Intents in Meituan. KDD 2022: 3259-3269 - [c146]Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li:
Modeling Persuasion Factor of User Decision for Recommendation. KDD 2022: 3366-3376 - [c145]Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li:
Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. KDD 2022: 4752-4762 - [c144]Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia 2022: 334-345 - [c143]Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li:
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR 2022: 1997-2002 - [c142]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation. SIGIR 2022: 2686-2691 - [c141]Guozhen Zhang, Jinwei Zeng, Zhengyue Zhao, Depeng Jin, Yong Li:
A Counterfactual Modeling Framework for Churn Prediction. WSDM 2022: 1424-1432 - [c140]Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. WWW 2022: 2256-2267 - [c139]Shuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin, Yong Li:
Knowledge Enhanced GAN for IoT Traffic Generation. WWW 2022: 3336-3346 - [i36]Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Disentangling Long and Short-Term Interests for Recommendation. CoRR abs/2202.13090 (2022) - [i35]Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. CoRR abs/2208.05190 (2022) - [i34]Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li:
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR abs/2208.06794 (2022) - [i33]Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. CoRR abs/2209.08446 (2022) - 2021
- [j152]Muhammad Sheraz, Manzoor Ahmed
, Xueshi Hou
, Yong Li
, Depeng Jin, Zhu Han
, Tao Jiang
:
Artificial Intelligence for Wireless Caching: Schemes, Performance, and Challenges. IEEE Commun. Surv. Tutorials 23(1): 631-661 (2021) - [j151]Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim
, Meeyoung Cha, Depeng Jin, Yong Li:
Disruption in Chinese E-Commerce During COVID-19. Frontiers Comput. Sci. 3: 668711 (2021) - [j150]Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li:
Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 184:1-184:24 (2021) - [j149]Yawen Chen
, Yu Liu
, Ming Zeng
, Umber Saleem
, Zhaoming Lu, Xiangming Wen
, Depeng Jin, Zhu Han
, Tao Jiang
, Yong Li
:
Reinforcement Learning Meets Wireless Networks: A Layering Perspective. IEEE Internet Things J. 8(1): 85-111 (2021) - [j148]Shuodi Hui
, Zhenhua Wang, Xueshi Hou
, Xiao Wang, Huandong Wang
, Yong Li
, Depeng Jin:
Systematically Quantifying IoT Privacy Leakage in Mobile Networks. IEEE Internet Things J. 8(9): 7115-7125 (2021) - [j147]Huandong Wang
, Yong Li
, Depeng Jin, Zhu Han
:
Attentional Markov Model for Human Mobility Prediction. IEEE J. Sel. Areas Commun. 39(7): 2213-2225 (2021) - [j146]Jiaqiang Liu, Huan Yan, Yong Li
, Dmytro Karamshuk
, Nishanth Sastry
, Di Wu
, Depeng Jin:
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods. IEEE Trans. Big Data 7(5): 873-884 (2021) - [j145]Huandong Wang, Yong Li, Gang Wang, Depeng Jin:
Linking Multiple User Identities of Multiple Services from Massive Mobility Traces. ACM Trans. Intell. Syst. Technol. 12(4): 39:1-39:28 (2021) - [j144]Tong Xia, Junjie Lin, Yong Li, Jie Feng, Pan Hui, Funing Sun, Diansheng Guo
, Depeng Jin:
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction. ACM Trans. Knowl. Discov. Data 15(6): 110:1-110:21 (2021) - [j143]Huandong Wang, Yong Li, Mu Du, Zhenhui Li, Depeng Jin:
App2Vec: Context-Aware Application Usage Prediction. ACM Trans. Knowl. Discov. Data 15(6): 112:1-112:21 (2021) - [j142]Huan Yan
, Chunfeng Yang
, Donghan Yu, Yong Li
, Depeng Jin, Dah Ming Chiu
:
Multi-Site User Behavior Modeling and Its Application in Video Recommendation. IEEE Trans. Knowl. Data Eng. 33(1): 180-193 (2021) - [j141]Jingtao Ding
, Guanghui Yu
, Xiangnan He
, Fuli Feng
, Yong Li
, Depeng Jin:
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. IEEE Trans. Knowl. Data Eng. 33(2): 667-681 (2021) - [j140]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song
, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j139]Tong Xia, Yong Li
, Yue Yu, Fengli Xu, Qingmin Liao, Depeng Jin:
Understanding Urban Dynamics via State-Sharing Hidden Markov Model. IEEE Trans. Knowl. Data Eng. 33(10): 3468-3481 (2021) - [j138]Huandong Wang, Yong Li
, Chen Gao, Gang Wang
, Xiaoming Tao, Depeng Jin:
Anonymization and De-Anonymization of Mobility Trajectories: Dissecting the Gaps Between Theory and Practice. IEEE Trans. Mob. Comput. 20(3): 796-815 (2021) - [j137]Huandong Wang
, Sihan Zeng
, Yong Li
, Depeng Jin:
Predictability and Prediction of Human Mobility Based on Application-Collected Location Data. IEEE Trans. Mob. Comput. 20(7): 2457-2472 (2021) - [j136]Huan Yan, Haohao Fu, Yong Li
, Tzu-Heng Lin, Gang Wang
, Haitao Zheng, Depeng Jin, Ben Y. Zhao:
On Migratory Behavior in Video Consumption. IEEE Trans. Netw. Serv. Manag. 18(2): 1775-1788 (2021) - [j135]Huan Yan, Tzu-Heng Lin, Ming Zeng
, Jing Wu, Yong Li
, Depeng Jin:
Discovering Usage Patterns of Mobile Video Service in the Cellular Networks. IEEE Trans. Netw. Serv. Manag. 18(2): 1789-1802 (2021) - [c138]Jun Zhang
, Chen Gao, Depeng Jin, Yong Li:
Group-Buying Recommendation for Social E-Commerce. ICDE 2021: 1536-1547 - [c137]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding sizes for Recommender Systems. ICLR 2021 - [c136]Fengli Xu, Guozhen Zhang, Yuan Yuan, Hongjia Huang, Diyi Yang, Depeng Jin, Yong Li:
Understanding the Invitation Acceptance in Agent-initiated Social E-commerce. ICWSM 2021: 820-829 - [c135]Chen Gao, Quanming Yao, Depeng Jin, Yong Li:
Efficient Data-specific Model Search for Collaborative Filtering. KDD 2021: 415-425 - [c134]Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li:
User Consumption Intention Prediction in Meituan. KDD 2021: 3472-3482 - [c133]Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li:
Progressive Feature Interaction Search for Deep Sparse Network. NeurIPS 2021: 392-403 - [c132]Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Sequential Recommendation with Graph Neural Networks. SIGIR 2021: 378-387 - [c131]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW 2021: 401-412 - [c130]Guozhen Zhang
, Yong Li, Yuan Yuan, Fengli Xu, Hancheng Cao, Yujian Xu, Depeng Jin:
Community Value Prediction in Social E-commerce. WWW 2021: 2958-2967 - [c129]Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW 2021: 2980-2991 - [i32]Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding Sizes for Recommender Systems. CoRR abs/2101.07577 (2021) - [i31]Zhenyu Han, Fengli Xu, Yong Li, Tao Jiang, Depeng Jin, Jianhua Lu, James A. Evans:
Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities. CoRR abs/2102.10538 (2021) - [i30]Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Depeng Jin, Yong Li:
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. CoRR abs/2104.14917 (2021) - [i29]Chen Gao, Quanming Yao, Depeng Jin, Yong Li:
Efficient Data-specific Model Search for Collaborative Filtering. CoRR abs/2106.07453 (2021) - [i28]Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Sequential Recommendation with Graph Neural Networks. CoRR abs/2106.14226 (2021) - [i27]Zefang Zong, Tao Feng, Tong Xia, Depeng Jin, Yong Li:
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey. CoRR abs/2108.04462 (2021) - [i26]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. CoRR abs/2108.06952 (2021) - [i25]Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. CoRR abs/2109.12843 (2021) - [i24]Chang Liu, Chen Gao, Depeng Jin, Yong Li:
Improving Location Recommendation with Urban Knowledge Graph. CoRR abs/2111.01013 (2021) - [i23]Zirui Zhu, Chen Gao, Xu Chen, Nian Li, Depeng Jin, Yong Li:
Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks. CoRR abs/2111.03344 (2021) - [i22]Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li:
Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction. CoRR abs/2111.03465 (2021) - [i21]Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. CoRR abs/2112.07839 (2021) - 2020
- [j134]Muhammad Waqas
, Yong Niu, Yong Li, Manzoor Ahmed, Depeng Jin, Sheng Chen
, Zhu Han:
A Comprehensive Survey on Mobility-Aware D2D Communications: Principles, Practice and Challenges. IEEE Commun. Surv. Tutorials 22(3): 1863-1886 (2020) - [j133]Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao:
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning. ACM Trans. Intell. Syst. Technol. 11(6): 64:1-64:12 (2020) - [j132]Yu Liu
, Yong Li, Yong Niu, Depeng Jin:
Joint Optimization of Path Planning and Resource Allocation in Mobile Edge Computing. IEEE Trans. Mob. Comput. 19(9): 2129-2144 (2020) - [j131]Zhen Tu
, Yong Li
, Pan Hui
, Li Su, Depeng Jin:
Personalized Mobile App Recommendation by Learning User's Interest from Social Media. IEEE Trans. Mob. Comput. 19(11): 2670-2683 (2020) - [j130]Huandong Wang
, Chen Gao, Yong Li
, Zhi-Li Zhang
, Depeng Jin:
Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs. IEEE Trans. Netw. Serv. Manag. 17(4): 2550-2566 (2020) - [j129]Jingtao Ding, Guanghui Yu, Yong Li, Xiangnan He, Depeng Jin:
Improving Implicit Recommender Systems with Auxiliary Data. ACM Trans. Inf. Syst. 38(1): 11:1-11:27 (2020) - [j128]Jingtao Ding, Yong Li
, Pengyu Zhang, Depeng Jin:
Time Dependent Pricing for Large-Scale Mobile Networks of Urban Environment: Feasibility and Adaptability. IEEE Trans. Serv. Comput. 13(3): 559-571 (2020) - [j127]Huandong Wang
, Sihan Zeng
, Yong Li
, Pengyu Zhang, Depeng Jin:
Human Mobility Prediction Using Sparse Trajectory Data. IEEE Trans. Veh. Technol. 69(9): 10155-10166 (2020) - [c128]Yuhan Quan, Jingtao Ding, Depeng Jin, Jianbo Yang, Xing Zhou, Yong Li:
Representative Negative Instance Generation for Online Ad Targeting. CIKM 2020: 2177-2180 - [c127]Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Price-aware Recommendation with Graph Convolutional Networks. ICDE 2020: 133-144 - [c126]Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin:
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. NeurIPS 2020 - [c125]Bowen Jin, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Multi-behavior Recommendation with Graph Convolutional Networks. SIGIR 2020: 659-668 - [c124]Chen Gao, Chao Huang, Dongsheng Lin, Depeng Jin, Yong Li:
DPLCF: Differentially Private Local Collaborative Filtering. SIGIR 2020: 961-970 - [c123]Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Bundle Recommendation with Graph Convolutional Networks. SIGIR 2020: 1673-1676 - [i20]Yu Zheng
, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Price-aware Recommendation with Graph Convolutional Networks. CoRR abs/2003.03975 (2020) - [i19]Jianxin Chang, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Bundle Recommendation with Graph Convolutional Networks. CoRR abs/2005.03475 (2020) - [i18]Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding. CoRR abs/2006.11011 (2020) - [i17]Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin:
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. CoRR abs/2009.03376 (2020) - [i16]Jun Zhang
, Chen Gao, Depeng Jin, Yong Li:
Group-Buying Recommendation for Social E-Commerce. CoRR abs/2010.06848 (2020)
2010 – 2019
- 2019
- [j126]Muhammad Waqas
, Yong Niu, Manzoor Ahmed, Yong Li, Depeng Jin, Zhu Han:
Mobility-Aware Fog Computing in Dynamic Environments: Understandings and Implementation. IEEE Access 7: 38867-38879 (2019) - [j125]Xichen Wang, Chen Gao, Jingtao Ding, Yong Li
, Depeng Jin:
CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation. IEEE Access 7: 48209-48223 (2019) - [j124]Yu Ding
, Li Su, Depeng Jin:
New fast multi-user beam training scheme based on compressed sensing theory for millimetre-wave communication. IET Commun. 13(6): 642-648 (2019) - [j123]Chen Gao, Chao Huang, Yue Yu, Huandong Wang, Yong Li, Depeng Jin:
Privacy-preserving Cross-domain Location Recommendation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 11:1-11:21 (2019) - [j122]Zhen Tu, Yali Fan, Yong Li, Xiang Chen, Li Su, Depeng Jin:
From Fingerprint to Footprint: Cold-start Location Recommendation by Learning User Interest from App Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 26:1-26:22 (2019) - [j121]Huandong Wang, Yong Li, Sihan Zeng, Gang Wang, Pengyu Zhang, Pan Hui, Depeng Jin:
Modeling Spatio-Temporal App Usage for a Large User Population. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 27:1-27:23 (2019) - [j120]Jingtao Ding, Guanghui Yu, Yong Li, Depeng Jin, Hui Gao:
Learning from Hometown and Current City: Cross-city POI Recommendation via Interest Drift and Transfer Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 131:1-131:28 (2019) - [j119]Yali Fan, Zhen Tu, Yong Li, Xiang Chen, Hui Gao, Lin Zhang, Li Su, Depeng Jin:
Personalized Context-aware Collaborative Online Activity Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 132:1-132:28 (2019) - [j118]Jiaqiang Liu, Shaoran Xiao, Yong Li
, Haoyu Song
, Depeng Jin, Li Su:
NetWatch: End-to-End Network Performance Measurement as a Service for Cloud. IEEE Trans. Cloud Comput. 7(2): 553-567 (2019) - [j117]Huandong Wang
, Yong Li
, Ying Zhang, Depeng Jin:
Virtual Machine Migration Planning in Software-Defined Networks. IEEE Trans. Cloud Comput. 7(4): 1168-1182 (2019) - [j116]Huandong Wang
, Yong Li
, Yang Chen
, Depeng Jin:
Co-Location Social Networks: Linking the Physical World and Cyberspace. IEEE Trans. Mob. Comput. 18(5): 1028-1041 (2019) - [j115]Zhen Tu
, Kai Zhao, Fengli Xu, Yong Li
, Li Su, Depeng Jin:
Protecting Trajectory From Semantic Attack Considering ${k}$ -Anonymity, ${l}$ -Diversity, and ${t}$ -Closeness. IEEE Trans. Netw. Serv. Manag. 16(1): 264-278 (2019) - [j114]Jingtao Ding
, Zhongjin Liu, Shaoran Xiao, Yang Chen
, Yong Li
, Depeng Jin, Steve Uhlig
:
Beyond the Click: A First Look at the Role of a Microblogging Platform in the Web Ecosystem. IEEE Trans. Netw. Serv. Manag. 16(2): 743-754 (2019) - [j113]Kai Zhao
, Zhen Tu
, Fengli Xu, Yong Li
, Pengyu Zhang, Dan Pei
, Li Su, Depeng Jin:
Walking Without Friends: Publishing Anonymized Trajectory Dataset Without Leaking Social Relationships. IEEE Trans. Netw. Serv. Manag. 16(3): 1212-1225 (2019) - [j112]Xichen Wang
, Huandong Wang
, Jingtao Ding
, Yong Li
, Depeng Jin:
Location Semantics Identification via Users' Clickstreams in Mobile Social Networking. IEEE Trans. Netw. Serv. Manag. 16(4): 1768-1781 (2019) - [j111]Manzoor Ahmed, Yong Li
, Zhuo Yinxiao, Muhammad Sheraz, Dianlei Xu
, Depeng Jin:
Secrecy Ensured Socially Aware Resource Allocation in Device-to-Device Communications Underlaying HetNet. IEEE Trans. Veh. Technol. 68(5): 4933-4948 (2019) - [c122]Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin:
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis. AAAI 2019: 1020-1027 - [c121]Xichen Wang, Jingtao Ding, Steve Uhlig, Yong Li, Depeng Jin:
Deviations of Check-ins and Human Mobility Trajectory. BigCom 2019: 115-123 - [c120]Kai Zhao, Jie Feng, Zhao Xu, Tong Xia, Lin Chen, Funing Sun, Diansheng Guo
, Depeng Jin, Yong Li:
DeepMM: Deep Learning Based Map Matching with Data Augmentation. SIGSPATIAL/GIS 2019: 452-455 - [c119]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Neural Multi-task Recommendation from Multi-behavior Data. ICDE 2019: 1554-1557 - [c118]