Jingtao Ding

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 70

Top Topics

Personalized Ranking

Reinforcement Learning

Recommender Systems

Top Venues

Publications

Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang
Social Physics Informed Diffusion Model for Crowd Simulation. CoRR (2024)
Chang Liu, Jingtao Ding, Yiwen Song, Yong Li
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. KDD (2024)
Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. ICLR (2024)
Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin
Generating Daily Activities with Need Dynamics. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. KDD (2024)
Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. KDD (2024)
Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Yong Li
Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models. CoRR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. CoRR (2024)
Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning. CoRR (2024)
Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li
Alleviating Video-length Effect for Micro-video Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. WWW (Companion Volume) (2024)
Can Rong, Zhicheng Liu, Jingtao Ding, Yong Li
Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang
Social Physics Informed Diffusion Model for Crowd Simulation. AAAI (2024)
Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
Artificial Intelligence for Complex Network: Potential, Methodology and Application. CoRR (2024)
Can Rong, Jingtao Ding, Yan Liu, Yong Li
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR (2024)
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. CoRR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) (2024)
Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li
UrbanWorld: An Urban World Model for 3D City Generation. CoRR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR (2024)
Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data. AAAI (2024)
Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li
Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data. CoRR (2024)
Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li
Spatio-temporal Diffusion Point Processes. CoRR (2023)
Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. CoRR (2023)
Can Rong, Jie Feng, Jingtao Ding
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. SIGSPATIAL/GIS (2023)
Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model. CoRR (2023)
Yu Liu, Jingtao Ding, Yong Li
KnowSite: Leveraging Urban Knowledge Graph for Site Selection. SIGSPATIAL/GIS (2023)
Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
Road Planning for Slums via Deep Reinforcement Learning. CoRR (2023)
Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li
UrbanKG: An Urban Knowledge Graph System. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. WWW (2023)
Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. CoRR (2023)
Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li
Spatio-temporal Diffusion Point Processes. KDD (2023)
Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives. CoRR (2023)
Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. WWW (2023)
Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
Robust Preference-Guided Denoising for Graph based Social Recommendation. CoRR (2023)
Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
Road Planning for Slums via Deep Reinforcement Learning. KDD (2023)
Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li
Learning Symbolic Models for Graph-structured Physical Mechanism. ICLR (2023)
Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW (2023)
Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li
Alleviating Video-Length Effect for Micro-video Recommendation. CoRR (2023)
Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. WWW (2023)
Can Rong, Jingtao Ding, Yong Li
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. CoRR (2023)
Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. CoRR (2023)
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 (2022)
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)
Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li
Causal Learning Empowered OD Prediction for Urban Planning. CIKM (2022)
Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen
PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. CIKM (2022)
Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li
Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. KDD (2022)
Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi
Item-Provider Co-learning for Sequential Recommendation. SIGIR (2022)
Yu Liu, Jingtao Ding, Yong Li
Knowledge-driven Site Selection via Urban Knowledge Graph. CoRR (2021)
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) (2021)
Yuhan Quan, Jingtao Ding, Depeng Jin, Jianbo Yang, Xing Zhou, Yong Li
Representative Negative Instance Generation for Online Ad Targeting. CIKM (2020)
Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. NeurIPS (2020)
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) (2020)
Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. CoRR (2020)
Jingtao Ding, Guanghui Yu, Yong Li, Xiangnan He, Depeng Jin
Improving Implicit Recommender Systems with Auxiliary Data. ACM Trans. Inf. Syst. 38 (1) (2020)
Xichen Wang, Chen Gao, Jingtao Ding, Long Hu, Ying Hu, Yong Li, Depeng Jin
Social Weak-tie Assisted Cross-domain Short Video Recommendation. IWCMC (2019)
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) (2019)
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) (2019)
Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin
Reinforced Negative Sampling for Recommendation with Exposure Data. IJCAI (2019)
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) (2019)
Xichen Wang, Jingtao Ding, Steve Uhlig, Yong Li, Depeng Jin
Deviations of Check-ins and Human Mobility Trajectory. BigCom (2019)
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 (2019)
Jingtao Ding, Guanghui Yu, Xiangnan He, Yong Li, Depeng Jin
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. CoRR (2018)
Shaoran Xiao, Fang Wang, Jingtao Ding, Yong Li
A Large-scale Measurement Study of Mobile Web Security Through Traffic Monitoring. IWCMC (2018)
Jingtao Ding, Yanghao Li, Yong Li, Depeng Jin
Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social Media. SDM (2018)
Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu
Improving Implicit Recommender Systems with View Data. IJCAI (2018)
Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data. WWW (Companion Volume) (2018)
Jingtao Ding, Rui Xu, Yong Li, Pan Hui, Depeng Jin
Measurement-Driven Modeling for Connection Density and Traffic Distribution in Large-Scale Urban Mobile Networks. IEEE Trans. Mob. Comput. 17 (5) (2018)
Jingtao Ding, Yanghao Li, Yong Li, Pan Hui, Depeng Jin
Characterizing the Click and Share Dynamics of Micro-Videos in Social Media. SIGCOMM Posters and Demos (2017)
Jingtao Ding, Xihui Liu, Yong Li, Di Wu, Depeng Jin, Sheng Chen
Measurement-Driven Capability Modeling for Mobile Network in Large-Scale Urban Environment. MASS (2016)
Jingtao Ding, Yong Li, Depeng Jin
Characterizing the phenomenon of traffic tide for large-scale mobile cellular data networks. INFOCOM Workshops (2015)
Huandong Wang, Jingtao Ding, Yong Li, Pan Hui, Jian Yuan, Depeng Jin
Characterizing the Spatio-Temporal Inhomogeneity of Mobile Traffic in Large-scale Cellular Data Networks. HOTPOST@MobiHoc (2015)