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2020 – today
- 2024
[j14]Renhao Huang
, Jingtao Ding, Maurice Pagnucco, Yang Song:
Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction. IEEE Robotics Autom. Lett. 9(10): 9143-9150 (2024)- [j13]Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin:
Generating Daily Activities with Need Dynamics. ACM Trans. Intell. Syst. Technol. 15(2): 29:1-29:28 (2024) - [j12]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): 150:1-150:17 (2024) - [j11]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): 44:1-44:24 (2024) - [c35]Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang:
Social Physics Informed Diffusion Model for Crowd Simulation. AAAI 2024: 474-482 - [c34]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: 22493-22501 - [c33]Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li:
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. ICLR 2024 - [c32]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: 896-907 - [c31]Chang Liu, Jingtao Ding, Yiwen Song, Yong Li:
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. KDD 2024: 1875-1886 - [c30]Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. KDD 2024: 4095-4106 - [c29]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) 2024: 650-653 - [c28]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. WWW (Companion Volume) 2024: 814-817 - [i27]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 abs/2402.05153 (2024) - [i26]Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang:
Social Physics Informed Diffusion Model for Crowd Simulation. CoRR abs/2402.06680 (2024) - [i25]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 abs/2402.09836 (2024) - [i24]Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. CoRR abs/2402.11838 (2024) - [i23]Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li:
A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning. CoRR abs/2402.11922 (2024) - [i22]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 abs/2402.16887 (2024) - [i21]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR abs/2403.09197 (2024) - [i20]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. CoRR abs/2403.09217 (2024) - [i19]Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li:
UrbanWorld: An Urban World Model for 3D City Generation. CoRR abs/2407.11965 (2024) - [i18]Can Rong, Jingtao Ding, Yan Liu, Yong Li:
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR abs/2407.15823 (2024) - [i17]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. CoRR abs/2408.09815 (2024) - [i16]Chang Liu, Jingtao Ding, Yiwen Song, Yong Li:
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. CoRR abs/2408.09825 (2024) - [i15]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. CoRR abs/2409.01588 (2024) - 2023
- [j10]Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li:
UrbanKG: An Urban Knowledge Graph System. ACM Trans. Intell. Syst. Technol. 14(4): 60:1-60:25 (2023) - [j9]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): 10048-10057 (2023) - [c27]Yu Liu, Jingtao Ding, Yong Li:
KnowSite: Leveraging Urban Knowledge Graph for Site Selection. SIGSPATIAL/GIS 2023: 90:1-90:12 - [c26]Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li:
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. SIGSPATIAL/GIS 2023: 91:1-91:12 - [c25]Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li:
Learning Symbolic Models for Graph-structured Physical Mechanism. ICLR 2023 - [c24]Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. KDD 2023: 3173-3184 - [c23]Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. KDD 2023: 5695-5706 - [c22]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: 122-132 - [c21]Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. WWW 2023: 906-916 - [c20]Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW 2023: 1097-1108 - [c19]Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li:
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. WWW 2023: 4150-4160 - [i14]Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. CoRR abs/2302.10897 (2023) - [i13]Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li:
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. CoRR abs/2302.13094 (2023) - [i12]Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. CoRR abs/2303.08346 (2023) - [i11]Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. CoRR abs/2305.12403 (2023) - [i10]Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. CoRR abs/2305.13060 (2023) - [i9]Can Rong, Jingtao Ding, Zhicheng Liu, Yong Li:
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model. CoRR abs/2306.04873 (2023) - [i8]Can Rong, Jingtao Ding, Yong Li:
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques. CoRR abs/2306.10048 (2023) - [i7]Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li:
Alleviating Video-Length Effect for Micro-video Recommendation. CoRR abs/2308.14276 (2023) - [i6]Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li:
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. CoRR abs/2309.10547 (2023) - [i5]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 abs/2312.11970 (2023) - 2022
- [c18]Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li:
Causal Learning Empowered OD Prediction for Urban Planning. CIKM 2022: 2455-2464 - [c17]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: 3302-3311 - [c16]Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li:
Activity Trajectory Generation via Modeling Spatiotemporal Dynamics. KDD 2022: 4752-4762 - [c15]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: 334-345 - [c14]Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi:
Item-Provider Co-learning for Sequential Recommendation. SIGIR 2022: 1817-1822 - [i4]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 abs/2208.05190 (2022) - 2021
- [j8]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): 667-681 (2021) - [i3]Yu Liu, Jingtao Ding, Yong Li:
Knowledge-driven Site Selection via Urban Knowledge Graph. CoRR abs/2111.00787 (2021) - 2020
- [j7]Jingtao Ding, Guanghui Yu, Yong Li, Xiangnan He, Depeng Jin:
Improving Implicit Recommender Systems with Auxiliary Data. ACM Trans. Inf. Syst. 38(1): 11:1-11:27 (2020) - [j6]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): 559-571 (2020) - [c13]Yuhan Quan, Jingtao Ding, Depeng Jin, Jianbo Yang, Xing Zhou, Yong Li:
Representative Negative Instance Generation for Online Ad Targeting. CIKM 2020: 2177-2180 - [c12]Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin:
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. NeurIPS 2020 - [i2]Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin:
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. CoRR abs/2009.03376 (2020)
2010 – 2019
- 2019
- [j5]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: 48209-48223 (2019) - [j4]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): 131:1-131:28 (2019) - [j3]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): 743-754 (2019) - [j2]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): 1768-1781 (2019) - [c11]Xichen Wang, Jingtao Ding, Steve Uhlig, Yong Li, Depeng Jin:
Deviations of Check-ins and Human Mobility Trajectory. BigCom 2019: 115-123 - [c10]Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin:
Reinforced Negative Sampling for Recommendation with Exposure Data. IJCAI 2019: 2230-2236 - [c9]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: 1636-1643 - 2018
- [j1]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): 1105-1118 (2018) - [c8]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: 3343-3349 - [c7]Shaoran Xiao, Fang Wang, Jingtao Ding, Yong Li:
A Large-scale Measurement Study of Mobile Web Security Through Traffic Monitoring. IWCMC 2018: 1536-1541 - [c6]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: 198-206 - [c5]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: 13-14 - [i1]Jingtao Ding, Guanghui Yu, Xiangnan He, Yong Li, Depeng Jin:
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. CoRR abs/1809.08162 (2018) - 2017
- [c4]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: 54-56 - 2016
- [c3]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: 92-100 - 2015
- [c2]Jingtao Ding, Yong Li, Depeng Jin:
Characterizing the phenomenon of traffic tide for large-scale mobile cellular data networks. INFOCOM Workshops 2015: 45-46 - [c1]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: 19-24
Coauthor Index
[j12] [j11] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [j10] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c18] [c16] [c15] [i4] [j8] [i3] [j7] [j6] [c13] [c12] [i2] [j5] [j4] [j3] [j2] [c11] [c10] [c9] [j1] [c8] [c7] [c6] [c5] [i1] [c4] [c3] [c2] [c1]
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last updated on 2024-10-07 22:17 CEST by the dblp team
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