Jingtao Ding

According to our database, Jingtao Ding authored at least 53 papers between 2015 and 2024.

Collaborative distances:

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

2024

Alleviating Video-length Effect for Micro-video Recommendation.

Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li

ACM Trans. Inf. Syst., March, 2024

Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning.

Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li

CoRR, 2024

MetroGNN: Metro Network Expansion with Reinforcement Learning.

Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li

CoRR, 2024

Artificial Intelligence for Complex Network: Potential, Methodology and Application.

Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li

CoRR, 2024

A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning.

Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li

CoRR, 2024

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction.

Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li

CoRR, 2024

Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models.

Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Yong Li

CoRR, 2024

Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data.

Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li

CoRR, 2024

Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data.

Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Social Physics Informed Diffusion Model for Crowd Simulation.

Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training.

Can Rong, Jie Feng, Jingtao Ding

IEEE Trans. Knowl. Data Eng., October, 2023

UrbanKG: An Urban Knowledge Graph System.

Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li

ACM Trans. Intell. Syst. Technol., August, 2023

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives.

Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li

CoRR, 2023

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion.

Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li

CoRR, 2023

An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques.

Can Rong, Jingtao Ding, Yong Li

CoRR, 2023

Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model.

Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li

CoRR, 2023

Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network.

Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li

Proceedings of the ACM Web Conference 2023, 2023

Robust Preference-Guided Denoising for Graph based Social Recommendation.

Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li

Proceedings of the ACM Web Conference 2023, 2023

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction.

Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li

Proceedings of the ACM Web Conference 2023, 2023

Learning to Simulate Daily Activities via Modeling Dynamic Human Needs.

Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li

Proceedings of the ACM Web Conference 2023, 2023

Road Planning for Slums via Deep Reinforcement Learning.

Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatio-temporal Diffusion Point Processes.

Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Symbolic Models for Graph-structured Physical Mechanism.

Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion.

Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

KnowSite: Leveraging Urban Knowledge Graph for Site Selection.

Yu Liu, Jingtao Ding, Yong Li

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

Item-Provider Co-learning for Sequential Recommendation.

Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi

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.

Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Activity Trajectory Generation via Modeling Spatiotemporal Dynamics.

Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li

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.

Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li

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.

Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Sampler Design for Bayesian Personalized Ranking by Leveraging View Data.

Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li, Depeng Jin

IEEE Trans. Knowl. Data Eng., 2021

Knowledge-driven Site Selection via Urban Knowledge Graph.

Yu Liu, Jingtao Ding, Yong Li

CoRR, 2021

2020

Time Dependent Pricing for Large-Scale Mobile Networks of Urban Environment: Feasibility and Adaptability.

Jingtao Ding, Yong Li, Pengyu Zhang, Depeng Jin

IEEE Trans. Serv. Comput., 2020

Improving Implicit Recommender Systems with Auxiliary Data.

Jingtao Ding, Guanghui Yu, Yong Li, Xiangnan He, Depeng Jin

ACM Trans. Inf. Syst., 2020

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering.

Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin

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.

Yuhan Quan, Jingtao Ding, Depeng Jin, Jianbo Yang, Xing Zhou, Yong Li

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.

Xichen Wang, Huandong Wang, Jingtao Ding, Yong Li, Depeng Jin

IEEE Trans. Netw. Serv. Manag., 2019

Beyond the Click: A First Look at the Role of a Microblogging Platform in the Web Ecosystem.

Jingtao Ding, Zhongjin Liu, Shaoran Xiao, Yang Chen, Yong Li, Depeng Jin, Steve Uhlig

IEEE Trans. Netw. Serv. Manag., 2019

Learning from Hometown and Current City: Cross-city POI Recommendation via Interest Drift and Transfer Learning.

Jingtao Ding, Guanghui Yu, Yong Li, Depeng Jin, Hui Gao

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation.

Xichen Wang, Chen Gao, Jingtao Ding, Yong Li, Depeng Jin

IEEE Access, 2019

Social Weak-tie Assisted Cross-domain Short Video Recommendation.

Xichen Wang, Chen Gao, Jingtao Ding, Long Hu, Ying Hu, Yong Li, Depeng Jin

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Reinforced Negative Sampling for Recommendation with Exposure Data.

Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin

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

Deviations of Check-ins and Human Mobility Trajectory.

Xichen Wang, Jingtao Ding, Steve Uhlig, Yong Li, Depeng Jin

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.

Jingtao Ding, Rui Xu, Yong Li, Pan Hui, Depeng Jin

IEEE Trans. Mob. Comput., 2018

Sampler Design for Bayesian Personalized Ranking by Leveraging View Data.

Jingtao Ding, Guanghui Yu, Xiangnan He, Yong Li, Depeng Jin

CoRR, 2018

An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data.

Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin

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.

Jingtao Ding, Yanghao Li, Yong Li, Depeng Jin

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

A Large-scale Measurement Study of Mobile Web Security Through Traffic Monitoring.

Shaoran Xiao, Fang Wang, Jingtao Ding, Yong Li

Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Improving Implicit Recommender Systems with View Data.

Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu

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.

Jingtao Ding, Yanghao Li, Yong Li, Pan Hui, Depeng Jin

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.

Jingtao Ding, Xihui Liu, Yong Li, Di Wu, Depeng Jin, Sheng Chen

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.

Huandong Wang, Jingtao Ding, Yong Li, Pan Hui, Jian Yuan, Depeng Jin

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.

Jingtao Ding, Yong Li, Depeng Jin

Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015