Tsinghua Future Intelligence Lab (FIB)'s Homepage

Selected Publications:

Publication by date is available here and Publication by topic is available here

2021

J. Zhang, C. Gao, D. Jin, Yong Li. Group-Buying Recommendation for Social E-Commerce, in ICDE 2021. (ICDE) [Code]

F. Xu, G. Zhang, Y. Yuan, H. Huang, D. Yang, D. Jin, Yong Li. Would You Like to Join Us: Understanding the Invitation Acceptance in Agent-initiated Social E-commerce, in ICWSM 2021. (ICWSM)

2020

Z. Chen, H. Cao, F. Xu, M. Cheng, T Wang, and Yong Li. Understanding the Role of Intermediaries in Online Social E-commerces: an Exploratory Study of Beidian, in CSCW 2020. (CSCW)

J. Ding, Y. Quan, Q. Yao, Yong Li, D. Jin. Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering, in NeurIPS 2020. (NeurIPS) [Code]

F. Xu, Yong Li, and S. Xu. Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data, in KDD 2020 (research track). (KDD)

J. Feng, Z. Yang, F. Xu, H. Yu, M. Wang and Yong Li. Learning to Simulate Human Mobility, in KDD 2020 (ai for covid). (KDD) [Code]

Q. Hao, L. Chen, F. Xu and Yong Li. Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data, in KDD 2020 (ai for covid). (KDD) [Code]

S. Song, Z. Zong, and Yong Li, X. Liu and Y. Yu. Reinforced Epidemic Control: Saving Both Lives and Economy, in KDD 2020 (ai for covid). (KDD) [Code]

C. Gao, C. Huang, D. Lin, Yong Li, and D. Jin. DPLCF: Differentially Private Local Collaborative Filtering, in SIGIR 2020 (long paper). (SIGIR)

B. Jin, C. Gao, X. He, Yong Li, and D. Jin. Multi-behavior Recommendation with Graph Convolution Networks, in SIGIR 2020 (long paper). (SIGIR)

J. Chang, C. Gao, X. He, Yong Li, and D. Jin. Bundle Recommendation with Graph Convolutional Networks, in SIGIR 2020 (short paper). (SIGIR) [Code]

Y. Yu, T. Xia, H. Wang, J. Feng, and Yong Li. Semantic-aware Spatio-temporal App Usage Representation via Graph Convolutional Network, in ACM UbiComp 2020 (IMWUT). (UbiComp)

F. Xu, Z. Lin, D. Guo, and Yong Li. SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference, in ACM UbiComp 2020 (IMWUT). (UbiComp)

Z. Chen, H. Cao, H. Wang, F. Xu, V. Kostakos, and Yong Li. Will You Come Back / Check-in Again? Understanding Characteristics Leading to Urban Revisitation and Re-check-in, in ACM UbiComp 2020 (IMWUT). (UbiComp)

J. Feng, Z. Lin, T. Xia, F. Sun, D. Guo, and Yong Li. A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling, in IJCAI 2020. (IJCAI)

M. Zhang, T. Li, Yong Li, and P. Hui. Multi-View Joint Graph Representation Learning for Urban Region Embedding, in IJCAI 2020. (IJCAI) [Code]

D. Wu, T. Xiao, X. Liao, J. Luo, C. Wu, and Yong Li. When Sharing Economy Meets IoT: Towards Fine-grained Urban Air Quality Monitoring through Mobile Crowdsensing on Bike-share System, in ACM UbiComp 2020 (IMWUT). (UbiComp)

Y. Liu, Q. Yao and Yong Li. Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases, in WWW 2020, long paper. (WWW) [Code]

T. Li, M. Zhang, H. Cao, Yong Li, S. Tarkoma and P. Hui. ”What Apps Did You Use?“: Understanding the Long-term Evolution of Mobile App Usage, in WWW 2020, long paper. (WWW)

Q. Yao, X. Chen, J. Kwok, Yong Li and C. Hsieh. Efficient One-shot Interaction Functions Search for Collaborative Filtering, in WWW 2020, long paper. (WWW) [Code]

J. Feng, C. Rong, F. Sun, D. Guo, and Yong Li. PMF: A Privacy-preserving Human Mobility Prediction Framework via Federated Learning, in ACM UbiComp 2020 (IMWUT). (UbiComp)

Y. Zheng, C. Gao, X. He, Yong Li, D. Jin. Incorporating Price into Recommender System, in ICDE 2020 (long paper). (ICDE)

H. Shi, Q. Yao, Q. Guo, Y. Li, L. Zhang, J. Ye, Yong Li, Y. Liu. Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network, in ICDE 2020 (short paper). (ICDE)

J. Ding, G. Yu, Yong Li, H. Gao, D. Jin. Learning from Hometown and Current City: POI Recommendation for Cross-city Travelers via Leveraging User Interest Drift and Transfer, in ACM UbiComp 2020 (IMWUT). (UbiComp)

Y. Fan, Z. Tu, Yong Li, X. Chen, L. Zhang, L. Su, D. Jin. Personalized Context-aware Collaborative Online Activity Prediction, in ACM UbiComp 2020 (IMWUT). (UbiComp)

H. Cao, Z. Chen, F. Xu, T. Wang, Yong Li. When E-Commerce Meets Intimacy: An Empirical Study of Social Commerce Site Beidian, in ICWSM 2020. (ICWSM)

2019

F. Xu, Z. Han, J. Piao, Yong Li. "I Think You’ll Like It": Modelling the Online Purchase Behavior in Social E-commerce, in CSCW 2019. (CSCW)

H. Shi, C. Zhang, Q. Yao, Yong Li, F. Sun, D. Jin. State-Sharing Sparse Hidden Markov Models for Personalized Sequences, in KDD 2019, research track, oral paper. (KDD)

Y. Chen, B. Chen, X. He, C. Gao, Yong Li, J. Lou, Y. Wang. LambdaOpt: Learn to Regularize Recommender Models in Finer Levels, in KDD 2019, research track, oral paper. (KDD) [Code]

T. Lin, C. Gao Yong Li. CROSS: Cross-platform Recommendation for Online Shopping in Social Media, in SIGIR 2019, long paper. (SIGIR)

J. Feng, M. Zhang, H. Wang, Z. Yang, C. Zhang, Yong Li, D. Jin. DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data, in WWW 2019, long paper. (WWW) [Code]

C. Gao, X. Chen, F. Feng, K. Zhao, X. He, Yong Li, D. Jin. Cross-domain Recommendation Without Sharing User-relevant Data, in WWW 2019, long paper. (WWW)

T. Xia, Y. Yu, F. Xu, Yong Li. Understanding Urban Dynamics via State-sharing Hidden Markov Model, in WWW 2019, short paper. (WWW) [Code]

F. Xu, Z. Tu, H. Huang, S. Chang, Yong Li. No More than What I Post: Preventing Linkage Attacks on Check-in Services, in WWW 2019, short paper. (WWW)

J. Ding, Y. Quan, X. He, Yong Li, D. Jin. Reinforced Negative Sampling for Recommendation with Exposure Data, in IJCAI 2019. (IJCAI) [Code]

H. Yan, X. Chen, C. Gao, Yong Li, D. Jin. DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation, in IJCAI 2019. (IJCAI)

M. Zhang, T. Li, H. Shi, Yong Li, H. Pan. A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data, in IJCAI 2019. (IJCAI)

T. Xia, Yong Li. Revealing Urban Dynamics by Learning Online and Offline Behaviours Together, in ACM UbiComp 2019 (IMWUT). (UbiComp)

C. Gao, C. Huang, Y. Yu, Yong Li, D. Jin. Privacy-preserving Cross-domain Location Recommendation, in ACM UbiComp 2019 (IMWUT). (UbiComp)

Z. Tu, Y. Fan, Yong Li, X. Chen, L. Su, D. Jin. From Fingerprint to Footprint: Cold-start Location Recommendation by Learning User Interest from App Data, in ACM UbiComp 2019 (IMWUT). (UbiComp)

H. Wang, Yong Li, S. Zeng, G. Wang, P. Zhang, P. Hui, D. Jin. Modeling Spatio-Temporal App Usage for a Large User Population, in ACM UbiComp 2019 (IMWUT). (UbiComp)

X. Chen, Y. Wang, S. Pan, Yong Li, P. Zhang. CAP: Context-aware App-usage Prediction, in ACM UbiComp 2019 (IMWUT). (UbiComp)

Y. Yan, Z. Li, A. Chen, C. Wilson, T. Xu, E. Zhai, Yong Li, Y. Liu. Understanding and Detecting Overlay-based Android Malware at Market Scales, in MobiSys 2019. (MobiSys) [Code]

Z. Lin, J. Feng, Z. Lu, Yong Li, F. Sun, A. Guo, D. Jin. DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis, in AAAI 2019. (AAAI)

Z. Zong, J. Feng, K. Liu, H. Shi, Yong Li, F. Sun, A. Guo, D. Jin. DeepDPM: Dynamic Population Mapping via Deep Neural Network, in AAAI 2019. (AAAI)

H. Cao, Z. Chen, Yong Li, V. Kostakos. Revisitation in Urban Space vs. Online: a Comparison Across POIs, Websites, and Smartphone Apps, in ACM UbiComp 2019 (IMWUT). (UbiComp)

C. Gao, X. He, D. Gan, X. Chen, F. Feng, Yong Li, T. Chua, D. Jin. Neural Multi-task Recommendation from Multi-behavior Data, in ICDE 2019. (ICDE)

2018

F. Xu, G. Zhang, J. Huang, Yong Li, D. Yang, Y. Zhao, F. Meng. Understanding Motivations behind Inaccurate Check-ins, in CSCW 2018. (CSCW)

J. Ding, G. Yu, X. He, Y. Quan, Yong Li, T. Chua, D. Jin. Improving Implicit Recommender Systems with View Data, in IJCAI 2018. (IJCAI) [Code]

H. Cao, J. Feng, Yong Li, V. Kostakos. Uniqueness in the City: Urban Morphology and Location Privacy, in ACM UbiComp 2018 (IMWUT). (UbiComp)

Z. Tu, R. Li, Yong Li, G. Wang, L. Su, D. Jin. Your Apps Give You Away: Distinguishing Mobile Users by Their App Usage Fingerprints, in ACM UbiComp 2018 (IMWUT), Distinguished Paper Award. (UbiComp)

J. Feng, Yong Li, C. Zhang, F. Sun, F. Meng, A. Guo, D. Jin. DeepMove: Predicting Human Mobility with Attentional Recurrent Networks, in WWW 2018. (WWW)

Ding, F. Feng, X. He, G. Yu, Yong Li, D. Jin. An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data, in WWW 2018 Poster, Best Poster Paper Award. (WWW)