2025
Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion.
ACM Trans. Knowl. Discov. Data, January, 2025
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques.
ACM Comput. Surv., January, 2025
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History.
CoRR, January, 2025
2024
Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction.
IEEE Robotics Autom. Lett., October, 2024
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information.
ACM Trans. Knowl. Discov. Data, July, 2024
Generating Daily Activities with Need Dynamics.
ACM Trans. Intell. Syst. Technol., April, 2024
Alleviating Video-length Effect for Micro-video Recommendation.
ACM Trans. Inf. Syst., March, 2024
Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors.
CoRR, 2024
Understanding World or Predicting Future? A Comprehensive Survey of World Models.
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CoRR, 2024
A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction.
CoRR, 2024
UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning.
CoRR, 2024
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling.
CoRR, 2024
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length.
CoRR, 2024
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation.
CoRR, 2024
UrbanWorld: An Urban World Model for 3D City Generation.
CoRR, 2024
Artificial Intelligence for Complex Network: Potential, Methodology and Application.
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CoRR, 2024
A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning.
CoRR, 2024
Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models.
CoRR, 2024
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
MetroGNN: Metro Network Expansion with Reinforcement Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Social Physics Informed Diffusion Model for Crowd Simulation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training.
IEEE Trans. Knowl. Data Eng., October, 2023
UrbanKG: An Urban Knowledge Graph System.
ACM Trans. Intell. Syst. Technol., August, 2023
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives.
CoRR, 2023
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model.
CoRR, 2023
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network.
Proceedings of the ACM Web Conference 2023, 2023
Robust Preference-Guided Denoising for Graph based Social Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction.
Proceedings of the ACM Web Conference 2023, 2023
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs.
Proceedings of the ACM Web Conference 2023, 2023
Road Planning for Slums via Deep Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Spatio-temporal Diffusion Point Processes.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Learning Symbolic Models for Graph-structured Physical Mechanism.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
KnowSite: Leveraging Urban Knowledge Graph for Site Selection.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
2022
Item-Provider Co-learning for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Activity Trajectory Generation via Modeling Spatiotemporal Dynamics.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Causal Learning Empowered OD Prediction for Urban Planning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation.
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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data.
IEEE Trans. Knowl. Data Eng., 2021
Knowledge-driven Site Selection via Urban Knowledge Graph.
CoRR, 2021
2020
Time Dependent Pricing for Large-Scale Mobile Networks of Urban Environment: Feasibility and Adaptability.
IEEE Trans. Serv. Comput., 2020
Improving Implicit Recommender Systems with Auxiliary Data.
ACM Trans. Inf. Syst., 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Representative Negative Instance Generation for Online Ad Targeting.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Location Semantics Identification via Users' Clickstreams in Mobile Social Networking.
IEEE Trans. Netw. Serv. Manag., 2019
Beyond the Click: A First Look at the Role of a Microblogging Platform in the Web Ecosystem.
IEEE Trans. Netw. Serv. Manag., 2019
Learning from Hometown and Current City: Cross-city POI Recommendation via Interest Drift and Transfer Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation.
IEEE Access, 2019
Social Weak-tie Assisted Cross-domain Short Video Recommendation.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Reinforced Negative Sampling for Recommendation with Exposure Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Deviations of Check-ins and Human Mobility Trajectory.
Proceedings of the 5th International Conference on Big Data Computing and Communications, 2019
2018
Measurement-Driven Modeling for Connection Density and Traffic Distribution in Large-Scale Urban Mobile Networks.
IEEE Trans. Mob. Comput., 2018
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data.
CoRR, 2018
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social Media.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
A Large-scale Measurement Study of Mobile Web Security Through Traffic Monitoring.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018
Improving Implicit Recommender Systems with View Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Characterizing the Click and Share Dynamics of Micro-Videos in Social Media.
Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017
2016
Measurement-Driven Capability Modeling for Mobile Network in Large-Scale Urban Environment.
Proceedings of the 13th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2016
2015
Characterizing the Spatio-Temporal Inhomogeneity of Mobile Traffic in Large-scale Cellular Data Networks.
Proceedings of the 7th International Workshop on Hot Topics in Planet-scale mObile computing and online Social neTworking, 2015
Characterizing the phenomenon of traffic tide for large-scale mobile cellular data networks.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015