Jingtao Ding - RankMe

128 papers A* 24A 5B 3Journal 84Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History. IEEE Trans. Knowl. Data Eng. En Xu, Can Rong, Jingtao Ding, Yong Li
2026	J	`jnl`	A survey of physics-informed AI for complex urban systems. Inf. Fusion En Xu, Huandong Wang, Yunke Zhang, Sibo Li, Yinzhou Tang, Zhilun Zhou, Yuming Lin, Yuan Yuan, Xiaochen Fan, Jingtao Ding, Yong Li
2026	J	`jnl`	Discovering network dynamics with neural symbolic regression. Nat. Comput. Sci. Zihan Yu, Jingtao Ding, Yong Li
2026	—	`conf`	Generating Realistic Human Mobility Data with Hybrid Large Language Model Agent. KDD (1) Chenyang Shao, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Fengli Xu
2026	J	`jnl`	HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis. CoRR Shuo Tang, Jiadong Zhang, Jian Xu, Gengxian Zhou, Qizhao Jin, Qinxuan Wang, Yi Hu, Ning Hu, Hongchang Ren, Lingli He, Jiaolan Fu, Jingtao Ding, Shiming Xiang, Chenglin Liu
2026	J	`jnl`	Inferring Network Evolutionary History via Structure-State Coupled Learning. CoRR En Xu, Shihe Zhou, Huandong Wang, Jingtao Ding, Yong Li
2026	J	`jnl`	On the Accuracy Limits of Sequential Recommender Systems: An Entropy-Based Approach. CoRR En Xu, Jingtao Ding, Yong Li
2026	J	`jnl`	Understanding World or Predicting Future? A Comprehensive Survey of World Models. ACM Comput. Surv. Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li
2025	J	`jnl`	A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History. CoRR En Xu, Can Rong, Jingtao Ding, Yong Li
2025	J	`jnl`	A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development. CoRR Can Rong, Jingtao Ding, Meng Liu, Yong Li
2025	A*	`conf`	A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation. ICLR Can Rong, Jingtao Ding, Yan Liu, Yong Li
2025	J	`jnl`	A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science. CoRR Jie Feng, Jinwei Zeng, Qingyue Long, Hongyi Chen, Jie Zhao, Yanxin Xi, Zhilun Zhou, Yuan Yuan, Shengyuan Wang, Qingbin Zeng, Songwei Li, Yunke Zhang, Yuming Lin, Tong Li, Jingtao Ding, Chen Gao, Fengli Xu, Yong Li
2025	J	`jnl`	A Survey of Physics-Informed AI for Complex Urban Systems. CoRR En Xu, Huandong Wang, Yunke Zhang, Sibo Li, Yinzhou Tang, Zhilun Zhou, Yuming Lin, Yuan Yuan, Xiaochen Fan, Jingtao Ding, Yong Li
2025	J	`jnl`	A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction. IEEE Trans. Knowl. Data Eng. Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
2025	J	`jnl`	Advancing network resilience theories with symbolized reinforcement learning. CoRR Yu Zheng, Jingtao Ding, Depeng Jin, Jianxi Gao, Yong Li
2025	J	`jnl`	An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. ACM Comput. Surv. Can Rong, Jingtao Ding, Yong Li
2025	—	`conf`	Artificial Intelligence for Complex Network: Potential, Methodology and Application. WWW (Companion Volume) Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li, Chuan Shi
2025	J	`jnl`	BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling. CoRR Jiahui Gong, Jingtao Ding, Fanjin Meng, Chen Yang, Hong Chen, Zuojian Wang, Haisheng Lu, Yong Li
2025	J	`jnl`	Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems. CoRR Jiazhen Liu, Ruikun Li, Huandong Wang, Zihan Yu, Chang Liu, Jingtao Ding, Yong Li
2025	J	`jnl`	Beyond Formula Complexity: Effective Information Criterion Improves Performance and Interpretability for Symbolic Regression. CoRR Zihan Yu, Guanren Wang, Jingtao Ding, Huandong Wang, Yong Li
2025	J	`jnl`	Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting. CoRR Wanjin Feng, Yuan Yuan, Jingtao Ding, Yong Li
2025	J	`jnl`	ChaosNexus: A Foundation Model for Universal Chaotic System Forecasting with Multi-scale Representations. CoRR Chang Liu, Bohao Zhao, Jingtao Ding, Yong Li
2025	J	`jnl`	Controllable Human Trajectory Generation Using Profile-Guided Latent Diffusion. ACM Trans. Knowl. Discov. Data Yiwen Song, Jingtao Ding, Jian Yuan, Qingmin Liao, Yong Li
2025	J	`jnl`	Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions. CoRR Zhaoyi Li, Jingtao Ding, Yong Li, Shihua Li
2025	J	`jnl`	FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents. CoRR Qinglong Yang, Haoming Li, Haotian Zhao, Xiaokai Yan, Jingtao Ding, Fengli Xu, Yong Li
2025	J	`jnl`	Large language model as user daily behavior data generator: balancing population diversity and individual personality. CoRR Haoxin Li, Jingtao Ding, Jiahui Gong, Yong Li
2025	J	`jnl`	Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting. CoRR Chang Liu, Bohao Zhao, Jingtao Ding, Huandong Wang, Yong Li
2025	J	`jnl`	MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning. CoRR Fanjin Meng, Yuan Yuan, Jingtao Ding, Jie Feng, Chonghua Han, Yong Li
2025	A*	`conf`	Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors. WWW Yuheng Zhang, Yuan Yuan, Jingtao Ding, Jian Yuan, Yong Li
2025	A*	`conf`	OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data. IJCAI Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li
2025	J	`jnl`	OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data. CoRR Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li
2025	J	`jnl`	PID-controlled Langevin Dynamics for Faster Sampling of Generative Models. CoRR Hongyi Chen, Jianhai Shu, Jingtao Ding, Yong Li, Xiao-Ping Zhang
2025	J	`jnl`	Predicting Dynamical Systems across Environments via Diffusive Model Weight Generation. CoRR Ruikun Li, Huandong Wang, Jingtao Ding, Yuan Yuan, Qingmin Liao, Yong Li
2025	J	`jnl`	STTF: A Spatiotemporal Transformer Framework for Multi-task Mobile Network Prediction. IEEE Trans. Mob. Comput. Jiahui Gong, Yu Liu, Tong Li, Jingtao Ding, Zhaocheng Wang, Depeng Jin
2025	J	`jnl`	Sample-efficient diffusion-based control of complex nonlinear systems. CoRR Hongyi Chen, Jingtao Ding, Jianhai Shu, Xinchun Yu, Xiaojun Liang, Yong Li, Xiao-Ping Zhang
2025	J	`jnl`	Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities. CoRR Can Rong, Xin Zhang, Yanxin Xi, Hongjie Sui, Jingtao Ding, Yong Li
2025	A	`conf`	Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data. CIKM Hongyi Chen, Jingtao Ding, Xiaojun Liang, Yong Li, Xiao-Ping Zhang
2025	J	`jnl`	Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data. CoRR Hongyi Chen, Jingtao Ding, Xiaojun Liang, Yong Li, Xiao-Ping Zhang
2025	A*	`conf`	Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length. ICLR Zihan Yu, Jingtao Ding, Yong Li, Depeng Jin
2025	J	`jnl`	TrajMoE: Spatially-Aware Mixture of Experts for Unified Human Mobility Modeling. CoRR Chonghua Han, Yuan Yuan, Kaiyan Chen, Jingtao Ding, Yong Li
2025	J	`jnl`	Tuning Language Models for Robust Prediction of Diverse User Behaviors. CoRR Fanjin Meng, Jingtao Ding, Jiahui Gong, Chen Yang, Hong Chen, Zuojian Wang, Haisheng Lu, Yong Li
2025	J	`jnl`	UniMove: A Unified Model for Multi-city Human Mobility Prediction. CoRR Chonghua Han, Yuan Yuan, Yukun Liu, Jingtao Ding, Jie Feng, Yong Li
2025	A*	`conf`	Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. IJCAI Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li
2025	J	`jnl`	Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction. CoRR Zhi Sheng, Yuan Yuan, Jingtao Ding, Yong Li
2025	J	`jnl`	WorldMove, a global open data for human mobility. CoRR Yuan Yuan, Yuheng Zhang, Jingtao Ding, Yong Li
2024	J	`jnl`	A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction. CoRR Yuan Yuan, Jingtao Ding, Chonghua Han, Depeng Jin, Yong Li
2024	J	`jnl`	A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning. CoRR Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR Can Rong, Jingtao Ding, Yan Liu, Yong Li
2024	A*	`conf`	A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. KDD Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li
2024	J	`jnl`	A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. CoRR Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li
2024	J	`jnl`	Alleviating Video-length Effect for Micro-video Recommendation. ACM Trans. Inf. Syst. Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li
2024	J	`jnl`	Artificial Intelligence for Complex Network: Potential, Methodology and Application. CoRR Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
2024	J	`jnl`	Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models. CoRR Chenyang Shao, Fengli Xu, Bingbing Fan, Jingtao Ding, Yuan Yuan, Meng Wang, Yong Li
2024	A*	`conf`	Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data. AAAI Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li
2024	J	`jnl`	Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data. CoRR Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li
2024	J	`jnl`	Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction. IEEE Robotics Autom. Lett. Renhao Huang, Jingtao Ding, Maurice Pagnucco, Yang Song
2024	J	`jnl`	Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling. CoRR Yu Liu, Shu Yang, Jingtao Ding, Quanming Yao, Yong Li
2024	J	`jnl`	Generating Daily Activities with Need Dynamics. ACM Trans. Intell. Syst. Technol. Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin
2024	—	`conf`	Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. SIGSPATIAL/GIS Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. CoRR Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	Learning to Generate Temporal Origin-destination Flow Based-on Urban Regional Features and Traffic Information. ACM Trans. Knowl. Discov. Data Can Rong, Zhicheng Liu, Jingtao Ding, Yong Li
2024	—	`conf`	MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors. CoRR Yuheng Zhang, Yuan Yuan, Jingtao Ding, Jian Yuan, Yong Li
2024	—	`conf`	Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. WWW (Companion Volume) Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. CoRR Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	A*	`conf`	Social Physics Informed Diffusion Model for Crowd Simulation. AAAI Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang
2024	J	`jnl`	Social Physics Informed Diffusion Model for Crowd Simulation. CoRR Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang
2024	A*	`conf`	Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. ICLR Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length. CoRR Zihan Yu, Jingtao Ding, Yong Li
2024	A*	`conf`	TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. KDD Chang Liu, Jingtao Ding, Yiwen Song, Yong Li
2024	J	`jnl`	TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. CoRR Chang Liu, Jingtao Ding, Yiwen Song, Yong Li
2024	J	`jnl`	Understanding World or Predicting Future? A Comprehensive Survey of World Models. CoRR Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li
2024	A*	`conf`	UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. KDD Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
2024	J	`jnl`	UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. CoRR Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
2024	J	`jnl`	UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning. CoRR Yuan Yuan, Chonghua Han, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	UrbanWorld: An Urban World Model for 3D City Generation. CoRR Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li
2023	J	`jnl`	Alleviating Video-Length Effect for Micro-video Recommendation. CoRR Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li
2023	J	`jnl`	An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. CoRR Can Rong, Jingtao Ding, Yong Li
2023	J	`jnl`	Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model. CoRR Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li
2023	J	`jnl`	GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training. IEEE Trans. Knowl. Data Eng. Can Rong, Jie Feng, Jingtao Ding
2023	A*	`conf`	Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. WWW Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li
2023	—	`conf`	KnowSite: Leveraging Urban Knowledge Graph for Site Selection. SIGSPATIAL/GIS Yu Liu, Jingtao Ding, Yong Li
2023	A*	`conf`	Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. WWW Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li
2023	J	`jnl`	Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. CoRR Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li
2023	J	`jnl`	Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives. CoRR Chen Gao, Xiaochong Lan, Nian Li, Yuan Yuan, Jingtao Ding, Zhilun Zhou, Fengli Xu, Yong Li
2023	A*	`conf`	Learning Symbolic Models for Graph-structured Physical Mechanism. ICLR Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li
2023	A*	`conf`	Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. WWW Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li
2023	J	`jnl`	Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. CoRR Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li
2023	A*	`conf`	Road Planning for Slums via Deep Reinforcement Learning. KDD Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
2023	J	`jnl`	Road Planning for Slums via Deep Reinforcement Learning. CoRR Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
2023	A*	`conf`	Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
2023	J	`jnl`	Robust Preference-Guided Denoising for Graph based Social Recommendation. CoRR Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
2023	A*	`conf`	Spatio-temporal Diffusion Point Processes. KDD Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li
2023	J	`jnl`	Spatio-temporal Diffusion Point Processes. CoRR Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li
2023	—	`conf`	Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. SIGSPATIAL/GIS Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
2023	J	`jnl`	Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. CoRR Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
2023	J	`jnl`	UrbanKG: An Urban Knowledge Graph System. ACM Trans. Intell. Syst. Technol. Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li
2022	A*	`conf`	Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. KDD Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li
2022	A	`conf`	Causal Learning Empowered OD Prediction for Urban Planning. CIKM Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li
2022	A*	`conf`	DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
2022	J	`jnl`	DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. CoRR Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
2022	A*	`conf`	Item-Provider Co-learning for Sequential Recommendation. SIGIR Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi
2022	A	`conf`	PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. CIKM Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen
2021	J	`jnl`	Knowledge-driven Site Selection via Urban Knowledge Graph. CoRR Yu Liu, Jingtao Ding, Yong Li
2021	J	`jnl`	Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. IEEE Trans. Knowl. Data Eng. Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li, Depeng Jin
2020	J	`jnl`	Improving Implicit Recommender Systems with Auxiliary Data. ACM Trans. Inf. Syst. Jingtao Ding, Guanghui Yu, Yong Li, Xiangnan He, Depeng Jin
2020	A	`conf`	Representative Negative Instance Generation for Online Ad Targeting. CIKM Yuhan Quan, Jingtao Ding, Depeng Jin, Jianbo Yang, Xing Zhou, Yong Li
2020	A*	`conf`	Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. NeurIPS Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin
2020	J	`jnl`	Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. CoRR Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin
2020	J	`jnl`	Time Dependent Pricing for Large-Scale Mobile Networks of Urban Environment: Feasibility and Adaptability. IEEE Trans. Serv. Comput. Jingtao Ding, Yong Li, Pengyu Zhang, Depeng Jin
2019	J	`jnl`	Beyond the Click: A First Look at the Role of a Microblogging Platform in the Web Ecosystem. IEEE Trans. Netw. Serv. Manag. Jingtao Ding, Zhongjin Liu, Shaoran Xiao, Yang Chen, Yong Li, Depeng Jin, Steve Uhlig
2019	J	`jnl`	CMBPR: Category-Aided Multi-Channel Bayesian Personalized Ranking for Short Video Recommendation. IEEE Access Xichen Wang, Chen Gao, Jingtao Ding, Yong Li, Depeng Jin
2019	—	`conf`	Deviations of Check-ins and Human Mobility Trajectory. BigCom Xichen Wang, Jingtao Ding, Steve Uhlig, Yong Li, Depeng Jin
2019	J	`jnl`	Learning from Hometown and Current City: Cross-city POI Recommendation via Interest Drift and Transfer Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Jingtao Ding, Guanghui Yu, Yong Li, Depeng Jin, Hui Gao
2019	J	`jnl`	Location Semantics Identification via Users' Clickstreams in Mobile Social Networking. IEEE Trans. Netw. Serv. Manag. Xichen Wang, Huandong Wang, Jingtao Ding, Yong Li, Depeng Jin
2019	A*	`conf`	Reinforced Negative Sampling for Recommendation with Exposure Data. IJCAI Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin
2019	B	`conf`	Social Weak-tie Assisted Cross-domain Short Video Recommendation. IWCMC Xichen Wang, Chen Gao, Jingtao Ding, Long Hu, Ying Hu, Yong Li, Depeng Jin
2018	B	`conf`	A Large-scale Measurement Study of Mobile Web Security Through Traffic Monitoring. IWCMC Shaoran Xiao, Fang Wang, Jingtao Ding, Yong Li
2018	—	`conf`	An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data. WWW (Companion Volume) Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin
2018	A	`conf`	Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social Media. SDM Jingtao Ding, Yanghao Li, Yong Li, Depeng Jin
2018	A*	`conf`	Improving Implicit Recommender Systems with View Data. IJCAI Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu
2018	J	`jnl`	Measurement-Driven Modeling for Connection Density and Traffic Distribution in Large-Scale Urban Mobile Networks. IEEE Trans. Mob. Comput. Jingtao Ding, Rui Xu, Yong Li, Pan Hui, Depeng Jin
2018	J	`jnl`	Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. CoRR Jingtao Ding, Guanghui Yu, Xiangnan He, Yong Li, Depeng Jin
2017	—	`conf`	Characterizing the Click and Share Dynamics of Micro-Videos in Social Media. SIGCOMM Posters and Demos Jingtao Ding, Yanghao Li, Yong Li, Pan Hui, Depeng Jin
2016	B	`conf`	Measurement-Driven Capability Modeling for Mobile Network in Large-Scale Urban Environment. MASS Jingtao Ding, Xihui Liu, Yong Li, Di Wu, Depeng Jin, Sheng Chen
2015	—	`conf`	Characterizing the Spatio-Temporal Inhomogeneity of Mobile Traffic in Large-scale Cellular Data Networks. HOTPOST@MobiHoc Huandong Wang, Jingtao Ding, Yong Li, Pan Hui, Jian Yuan, Depeng Jin
2015	—	`conf`	Characterizing the phenomenon of traffic tide for large-scale mobile cellular data networks. INFOCOM Workshops Jingtao Ding, Yong Li, Depeng Jin