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2024
[j37]
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Yan Wang, Ke Deng, Yongli Ren, Jeffrey Chan, Guangjian Tian, Christian S. Jensen:
Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs. IEEE Access 12: 148090-148110 (2024)
[j36]
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Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series. Trans. Mach. Learn. Res. 2024 (2024)
[j35]
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Xiangmin Zhou, Rosni Lumbantoruan, Yongli Ren, Lei Chen, Xiaochun Yang, Jie Shao:
Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation. Trans. Recomm. Syst. 2(2): 14:1-14:23 (2024)
2023
[j34]
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Kyle Kai Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim:
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. ACM Trans. Spatial Algorithms Syst. 9(2): 15:1-15:22 (2023)
2022
[j33]
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Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Peter Bailey, Nicholas J. Belkin, Paul N. Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim:
Imagining future digital assistants at work: A study of task management needs. Int. J. Hum. Comput. Stud. 168: 102905 (2022)
[j32]
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Nima Joorabloo, Mahdi Jalili, Yongli Ren:
Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence. Inf. Sci. 601: 242-254 (2022)
[j31]
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Yufan Kang, Mohammad Saiedur Rahaman, Yongli Ren, Mark Sanderson, Ryen W. White, Flora D. Salim:
App usage on-the-move: Context- and commute-aware next app prediction. Pervasive Mob. Comput. 87: 101704 (2022)
[j30]
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Jinze Wang, Yongli Ren, Jie Li, Ke Deng:
The Footprint of Factorization Models and Their Applications in Collaborative Filtering. ACM Trans. Inf. Syst. 40(4): 71:1-71:32 (2022)
2021
[j29]
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Nima Joorabloo, Mahdi Jalili, Yongli Ren:
A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems. Expert Syst. Appl. 184: 115485 (2021)
[j28]
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Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson:
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation. ACM Trans. Inf. Syst. 39(3): 36:1-36:43 (2021)
2020
[j27]
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Nima Joorabloo, Mahdi Jalili, Yongli Ren:
Improved Collaborative Filtering Recommendation Through Similarity Prediction. IEEE Access 8: 202122-202132 (2020)
[j26]
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Xiaodong Wang, Bruce Gu, Yongli Ren, Wenjie Ye, Shui Yu, Yong Xiang, Longxiang Gao:
A Fog-Based Recommender System. IEEE Internet Things J. 7(2): 1048-1060 (2020)
[j25]
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Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim:
An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. IEEE Internet Things J. 7(12): 11576-11586 (2020)
[j24]
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Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Yongli Ren, Majid Meghdadi, Mohsen Afsharchi:
A social recommender system based on reliable implicit relationships. Knowl. Based Syst. 192: 105371 (2020)
[j23]
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Kyle Kai Qin, Wei Shao, Yongli Ren, Jeffrey Chan, Flora D. Salim:
Solving multiple travelling officers problem with population-based optimization algorithms. Neural Comput. Appl. 32(16): 12033-12059 (2020)
[j22]
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Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. ACM Trans. Sens. Networks 16(3): 28:1-28:25 (2020)
2019
[j21]
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Guang-Li Huang, Ke Deng, Yongli Ren, Jianxin Li:
Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model. IEEE Access 7: 16206-16216 (2019)
2018
[j20]
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Mohammad Saiedur Rahaman, Yongli Ren, Margaret Hamilton, Flora D. Salim:
Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression. IEEE Access 6: 74660-74672 (2018)
[j19]
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  - journals/epjds/RenTSCS18
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Yongli Ren, Martin Tomko, Flora D. Salim, Jeffrey Chan, Mark Sanderson:
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. EPJ Data Sci. 7(1): 1 (2018)
[j18]
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Dong Qin, Xiangmin Zhou, Weiyi Zhou, Guangyan Huang, Yongli Ren, Ben Horan, Jing He, Naoki Kito:
MSIM: A change detection framework for damage assessment in natural disasters. Expert Syst. Appl. 97: 372-383 (2018)
[j17]
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  - journals/imwut/SadriSRSKM18
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Amin Sadri, Flora D. Salim, Yongli Ren, Wei Shao, John Krumm, Cecilia Mascolo:
What Will You Do for the Rest of the Day?: An Approach to Continuous Trajectory Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 186:1-186:26 (2018)
[j16]
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  - journals/tkde/RenTSCCS18
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Yongli Ren, Martin Tomko, Flora Dilys Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson:
A Location-Query-Browse Graph for Contextual Recommendation. IEEE Trans. Knowl. Data Eng. 30(2): 204-218 (2018)
2017
[j15]
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Amin Sadri, Flora D. Salim, Yongli Ren, Masoomeh Zameni, Jeffrey Chan, Timos Sellis:
Shrink: Distance preserving graph compression. Inf. Syst. 69: 180-193 (2017)
[j14]
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Yongli Ren, Martin Tomko, Flora Dilys Salim, Kevin Ong, Mark Sanderson:
Analyzing Web behavior in indoor retail spaces. J. Assoc. Inf. Sci. Technol. 68(1): 62-76 (2017)
[j13]
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Yongli Ren, Flora Dilys Salim, Martin Tomko, Yuntian Brian Bai, Jeffrey Chan, Kyle Kai Qin, Mark Sanderson:
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. Pervasive Mob. Comput. 37: 94-114 (2017)
[j12]
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Amin Sadri, Yongli Ren, Flora D. Salim:
Information gain-based metric for recognizing transitions in human activities. Pervasive Mob. Comput. 38: 92-109 (2017)
2015
[j11]
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  - journals/concurrency/RenLZ15
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Yongli Ren, Gang Li, Wanlei Zhou:
A survey of recommendation techniques based on offline data processing. Concurr. Comput. Pract. Exp. 27(15): 3915-3942 (2015)
[j10]
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Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong:
Privacy preserving data release for tagging recommender systems. Web Intell. 13(4): 229-246 (2015)
2014
[j9]
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  - journals/fgcs/ZhuRZRX14
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Tianqing Zhu, Yongli Ren, Wanlei Zhou, Jia Rong, Ping Xiong:
An effective privacy preserving algorithm for neighborhood-based collaborative filtering. Future Gener. Comput. Syst. 36: 142-155 (2014)
[j8]
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Tianqing Zhu, Gang Li, Lei Pan, Yongli Ren, Wanlei Zhou:
Privacy preserving collaborative filtering for KNN attack resisting. Soc. Netw. Anal. Min. 4(1): 196 (2014)
[j7]
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Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou:
The maximum imputation framework for neighborhood-based collaborative filtering. Soc. Netw. Anal. Min. 4(1): 207 (2014)
[j6]
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Yongli Ren, Gang Li, Wanlei Zhou:
Modelling personal preferences for Top-N movie recommendations. Web Intell. Agent Syst. 12(3): 289-307 (2014)
2013
[j5]
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  - journals/chinaf/YaoXRTL13
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Yuan Yao, Feng Xu, Yongli Ren, Hanghang Tong, Jian Lü:
SelfTrust: leveraging self-assessment for trust inference in Internetware. Sci. China Inf. Sci. 56(10): 1-14 (2013)
[j4]
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Yongli Ren, Gang Li, Wanlei Zhou:
A learning method for Top-N recommendations with incomplete data. Soc. Netw. Anal. Min. 3(4): 1135-1148 (2013)
[j3]
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Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou:
Lazy Collaborative Filtering for Data Sets With Missing Values. IEEE Trans. Cybern. 43(6): 1822-1834 (2013)
2012
[j2]
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Huy Quan Vu, Shaowu Liu, Xinghua Yang, Zhi Li, Yongli Ren:
Identifying Microphone from Noisy Recordings by Using Representative Instance One Class-Classification Approach. J. Networks 7(6): 908-917 (2012)
2011
[j1]
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Yangdong Ye, Yongli Ren, Gang Li:
Using local density information to improve IB algorithms. Pattern Recognit. Lett. 32(2): 310-320 (2011)

Conference and Workshop Papers

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2024
[c51]
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Jiayang Niu, Jie Li, Ke Deng, Yongli Ren:
CRUISE on Quantum Computing for Feature Selection in Recommender Systems. CLEF (Working Notes) 2024: 3096-3104
[c50]
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  - conf/ijcnn/HuangRWZ24
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Tony Danhui Huang, Yongli Ren, Lifang Wu, Xiuzhen Zhang:
Reference-free review-based product question answering evaluation via distant contrastive learning. IJCNN 2024: 1-8
[c49]
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Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
Temporal Conformity-aware Hawkes Graph Network for Recommendations. WWW 2024: 3185-3194
2023
[c48]
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  - conf/mdm/QinRRCCS23
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Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim:
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. MDM 2023: 89-95
2022
[c47]
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Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. CIKM 2022: 1430-1440
[c46]
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Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. SIGIR 2022: 1984-1989
[c45]
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Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. WSDM 2022: 1224-1233
[c44]
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  - conf/www/LiRD22
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Jie Li, Yongli Ren, Ke Deng:
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback. WWW 2022: 297-307
2021
[c43]
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Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. ICDM 2021: 976-981
[c42]
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  - conf/iciscae/XuRR21
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Shu Xu, Yongli Ren, Reynaldo V. Ruga:
Construction of Information Platform of Ideology Education in Colleges and Universities Based on Web in Digital Age. ICISCAE (ACM) 2021: 42-46
[c41]
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Yongli Ren, Dafeng Liu, Shu Xu, Jie Guo:
Research on the Ways of Cultivating Teenagers' Scientific and Technological Innovation Ability Based on Matrix Algorithm. ICISCAE (ACM) 2021: 2348-2352
[c40]
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Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. NeurIPS 2021: 30380-30391
2020
[c39]
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Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren:
Declarative User-Item Profiling Based Context-Aware Recommendation. ADMA 2020: 413-427
[c38]
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Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra:
G-CREWE: Graph CompREssion With Embedding for Network Alignment. CIKM 2020: 1255-1264
[c37]
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Xiaodong Wang, Bruce Gu, Youyang Qu, Yongli Ren, Yong Xiang, Longxiang Gao:
Reliable Customized Privacy-Preserving in Fog Computing. ICC 2020: 1-6
[c36]
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  - conf/mir/LionoRSRSSTSBW20
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Jonathan Liono, Mohammad Saiedur Rahaman, Flora D. Salim, Yongli Ren, Damiano Spina, Falk Scholer, Johanne R. Trippas, Mark Sanderson, Paul N. Bennett, Ryen W. White:
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. ICMR 2020: 472-478
[c35]
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Xiaodong Wang, Bruce Gu, Youyang Qu, Yongli Ren, Yong Xiang, Longxiang Gao:
A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System. NSS 2020: 408-418
[c34]
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Tony Danhui Huang, Xiuzhen Zhang, Yongli Ren, Min Peng:
Can helpful reviews help answer product questions? PACIS 2020: 4
[c33]
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Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised Translation-Based POI Recommendation. PAKDD (1) 2020: 53-64
[c32]
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Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson:
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. SIGIR 2020: 841-850
2019
[c31]
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Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, Peter Bailey, Paul N. Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson:
Learning About Work Tasks to Inform Intelligent Assistant Design. CHIIR 2019: 5-14
[c30]
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Nima Joorabloo, Mahdi Jalili, Yongli Ren:
A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. EANN 2019: 151-163
[c29]
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Nima Joorabloo, Mahdi Jalili, Yongli Ren:
A New Temporal Recommendation System based on Users' Similarity Prediction. KDIR 2019: 555-560
[c28]
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  - conf/icdm/LumbantoruanZR019
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Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Lei Chen:
I-CARS: An Interactive Context-Aware Recommender System. ICDM 2019: 1240-1245
[c27]
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  - conf/percom/RahamanPLSRCKRS19
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Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas:
OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. PerCom Workshops 2019: 415-418
[c26]
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P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson:
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. ECML/PKDD (3) 2019: 339-355
2018
[c25]
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Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Majid Meghdadi, Mohsen Afsharchi, Yongli Ren:
A Temporal Clustering Approach for Social Recommender Systems. ASONAM 2018: 1139-1144
[c24]
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Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao:
D-CARS: A Declarative Context-Aware Recommender System. ICDM 2018: 1152-1157
[c23]
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Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel:
A Preliminary Comparison of Job, Talent, and Web Search. IIR 2018
[c22]
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Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren:
Identifying In-App User Actions from Mobile Web Logs. PAKDD (2) 2018: 300-311
[c21]
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Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko:
Contextual Location Imputation for Confined WiFi Trajectories. PAKDD (2) 2018: 444-457
[c20]
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  - conf/sensys/KaurSRCTS18
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Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. BuildSys@SenSys 2018: 130-139
2017
[c19]
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  - conf/apweb/KitoZQRZT17
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Naoki Kito, Xiangmin Zhou, Dong Qin, Yongli Ren, Xiuzhen Zhang, James A. Thom:
Change Detection from Media Sharing Community. APWeb/WAIM (1) 2017: 391-398
[c18]
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  - conf/huc/SadriSR17
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Amin Sadri, Flora Dilys Salim, Yongli Ren:
Full trajectory prediction: what will you do the rest of the day? UbiComp/ISWC Adjunct 2017: 189-192
[c17]
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Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel:
Understanding User Behavior in Job and Talent Search: An Initial Investigation. eCOM@SIGIR 2017
2014
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Yongli Ren, Martin Tomko, Kevin Ong, Mark Sanderson:
How People Use the Web in Large Indoor Spaces. CIKM 2014: 1879-1882
[c15]
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  - conf/ipin/BaiWRORKTSWZ14
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Yuntian Brian Bai, Suqin Wu, Yongli Ren, Kevin Ong, Günther Retscher, Allison Kealy, Martin Tomko, Mark Sanderson, Hong Ren Wu, Kefei Zhang:
A new approach for indoor customer tracking based on a single Wi-Fi connection. IPIN 2014: 239-245
2013
[c14]
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Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou:
AdaM: adaptive-maximum imputation for neighborhood-based collaborative filtering. ASONAM 2013: 628-635
[c13]
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Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong:
Differential privacy for neighborhood-based collaborative filtering. ASONAM 2013: 752-759
[c12]
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Yongli Ren, Tianqing Zhu, Gang Li, Wanlei Zhou:
Top-N Recommendations by Learning User Preference Dynamics. PAKDD (2) 2013: 390-401
[c11]
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  - conf/skg/RenLZ13
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Yongli Ren, Gang Li, Wanlei Zhou:
Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey. SKG 2013: 6-13
[c10]
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Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong:
Privacy Preserving for Tagging Recommender Systems. Web Intelligence 2013: 81-88
2012
[c9]
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Yongli Ren, Gang Li, Wanlei Zhou:
Learning Rating Patterns for Top-N Recommendations. ASONAM 2012: 472-479
[c8]
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Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou:
The efficient imputation method for neighborhood-based collaborative filtering. CIKM 2012: 684-693
[c7]
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  - conf/pricai/RenLZ12
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Yongli Ren, Gang Li, Wanlei Zhou:
Improving Top-N Recommendations with User Consuming Profiles. PRICAI 2012: 887-890
[c6]
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Yongli Ren, Gang Li, Wanlei Zhou:
Learning User Preference Patterns for Top-N Recommendations. Web Intelligence 2012: 137-144
2009
[c5]
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Yongli Ren, Yu-Hsn Liu, Jia Rong, Robert Dew:
Clustering Interval-valued Data Using an Overlapped Interval Divergence. AusDM 2009: 35-42
[c4]
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Yu-Hsn Liu, Yongli Ren, Robert Dew:
Monetising User Generated Content Using Data Mining Techniques. AusDM 2009: 75-82
[c3]
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  - conf/jcdl/WangGRL09
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Jinlong Wang, Ke Gao, Yongli Ren, Gang Li:
Journal ranking based on social information. JCDL 2009: 453-454
2008
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Yongli Ren, Yangdong Ye, Gang Li:
The Density Connectivity Information Bottleneck. ICYCS 2008: 1783-1788
[c1]
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Yongli Ren, Yangdong Ye, Gang Li:
The Density-Based Agglomerative Information Bottleneck. PRICAI 2008: 333-344

Informal and Other Publications

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2024
[i15]
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Jiayang Niu, Jie Li, Ke Deng, Yongli Ren:
CRUISE on Quantum Computing for Feature Selection in Recommender Systems. CoRR abs/2407.02839 (2024)
2023
[i14]
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Kyle Kai Qin, Yongli Ren, Wei Shao, Brennan Lake, Filippo Privitera, Flora D. Salim:
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction. CoRR abs/2301.04482 (2023)
[i13]
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  - journals/corr/abs-2306-11773
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Kyle Kai Qin, Mohammad Saiedur Rahaman, Yongli Ren, Chi-Tsun Cheng, Ivan Cole, Flora D. Salim:
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. CoRR abs/2306.11773 (2023)
[i12]
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Sishun Liu, Ke Deng, Xiuzhen Zhang, Yongli Ren:
Intensity-free Integral-based Learning of Marked Temporal Point Processes. CoRR abs/2308.02360 (2023)
2022
[i11]
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  - journals/corr/abs-2208-03443
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Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Nicholas J. Belkin, Peter Bailey, Paul N. Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim:
Imagining Future Digital Assistants at Work: A Study of Task Management Needs. CoRR abs/2208.03443 (2022)
[i10]
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  - journals/corr/abs-2212-03560
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Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series. CoRR abs/2212.03560 (2022)
2021
[i9]
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  - journals/corr/abs-2110-00071
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Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. CoRR abs/2110.00071 (2021)
[i8]
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  - journals/corr/abs-2110-01401
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Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. CoRR abs/2110.01401 (2021)
[i7]
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  - journals/corr/abs-2112-11481
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Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. CoRR abs/2112.11481 (2021)
2020
[i6]
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  - journals/corr/abs-2002-03461
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Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised POI Recommendation. CoRR abs/2002.03461 (2020)
[i5]
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  - journals/corr/abs-2005-13535
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Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim:
An Ambient-Physical System to Infer Concentration in Open-plan Workplace. CoRR abs/2005.13535 (2020)
[i4]
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  - journals/corr/abs-2007-15807
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Mohammad Saiedur Rahaman, Shaw Kudo, Tim Rawling, Yongli Ren, Flora D. Salim:
Seating preference analysis for hybrid workplaces. CoRR abs/2007.15807 (2020)
[i3]
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  - journals/corr/abs-2007-16208
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Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra:
G-CREWE: Graph CompREssion With Embedding for Network Alignment. CoRR abs/2007.16208 (2020)
[i2]
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  - journals/corr/abs-2008-11400
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Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. CoRR abs/2008.11400 (2020)
2015
[i1]
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  - journals/corr/RenTSOS15
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Yongli Ren, Martin Tomko, Flora D. Salim, Kevin Ong, Mark Sanderson:
Analyzing Web Behavior in Indoor Retail Spaces. CoRR abs/1506.05628 (2015)

Coauthor Index

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