Yong Li

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 581

Top Venues

CoRR

KDD

WWW

IEEE Trans. Veh. Technol.

Publications

Yunke Zhang, Tong Li, Yuan Yuan, Fengli Xu, Fan Yang, Funing Sun, Yong Li
Demand-driven Urban Facility Visit Prediction. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, Yong Li
MOSS: A Large-scale Open Microscopic Traffic Simulation System. CoRR (2024)
Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. KDD (2024)
Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. 42 (4) (2024)
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. CoRR (2024)
Hongjie Sui, Huan Yan, Tianyi Zheng, Wenzhen Huang, Yunlin Zhuang, Yong Li
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Ziyi Liu, Huandong Wang, Yong Li
Understanding Deployment Experience of 5G. WWW (Companion Volume) (2024)
Chang Liu, Jingtao Ding, Yiwen Song, Yong Li
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics. KDD (2024)
Jinzhu Mao, Dongyun Zou, Li Sheng, Siyi Liu, Chen Gao, Yue Wang, Yong Li
Identify Critical Nodes in Complex Network with Large Language Models. CoRR (2024)
Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li
LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. CoRR (2024)
Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space. KDD (2024)
Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. ICLR (2024)
Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin
Urban Knowledge Graph Aided Mobile User Profiling. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang
Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. 42 (5) (2024)
Chi-Jen Roger Lo, Mahesh K. Marina, Nishanth Sastry, Kai Xu, Saeed Fadaei, Yong Li
Shrinking VOD Traffic via Rényi-Entropic Optimal Transport. SIGMETRICS/Performance (Abstracts) (2024)
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. KDD (2024)
Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. WWW (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)
Jinwei Zeng, Guozhen Zhang, Jian Yuan, Yong Li, Depeng Jin
Empowering Predictive Modeling by GAN-based Causal Information Learning. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) (2024)
Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 42 (1) (2024)
Tianjian Ouyang, Xin Zhang, Zhenyu Han, Yu Shang, Yong Li
Health CLIP: Depression Rate Prediction Using Health Related Features in Satellite and Street View Images. WWW (Companion Volume) (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)
Zhilun Zhou, Yuming Lin, Depeng Jin, Yong Li
Large Language Model for Participatory Urban Planning. CoRR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. CoRR (2024)
Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. SIGIR (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. CoRR (2024)
Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. ACM Trans. Inf. Syst. 42 (3) (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)
Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM (2024)
Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang
Social Physics Informed Diffusion Model for Crowd Simulation. AAAI (2024)
Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li
Stance Detection with Collaborative Role-Infused LLM-Based Agents. ICWSM (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)
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM (2024)
Can Rong, Jingtao Ding, Yan Liu, Yong Li
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR (2024)
Jie Feng, Jun Zhang, Junbo Yan, Xin Zhang, Tianjian Ouyang, Tianhui Liu, Yuwei Du, Siqi Guo, Yong Li
CityBench: Evaluating the Capabilities of Large Language Model as World Model. CoRR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) (2024)
Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Jian Yuan, Yong Li, Yu Wang, Huazhong Yang
CityLight: A Universal Model Towards Real-world City-scale Traffic Signal Control Coordination. CoRR (2024)
Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li
UV-SAM: Adapting Segment Anything Model for Urban Village Identification. AAAI (2024)
Chi-Jen Roger Lo, Mahesh K. Marina, Nishanth Sastry, Kai Xu, Saeed Fadaei, Yong Li
Shrinking VOD Traffic via Rényi-Entropic Optimal Transport. Proc. ACM Meas. Anal. Comput. Syst. 8 (1) (2024)
Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Yu Shang, Jiansheng Chen, Hangyu Fan, Jingtao Ding, Jie Feng, Yong Li
UrbanWorld: An Urban World Model for 3D City Generation. CoRR (2024)
Jun Zhang, Wenxuan Ao, Junbo Yan, Depeng Jin, Yong Li
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking. CoRR (2024)
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR (2024)
Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He
How graph convolutions amplify popularity bias for recommendation? Frontiers Comput. Sci. 18 (5) (2024)
Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. CoRR (2024)
Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
Understanding Expressivity of GNN in Rule Learning. ICLR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR (2024)
Lin Chen, Fengli Xu, Nian Li, Zhenyu Han, Meng Wang, Yong Li, Pan Hui
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network. KDD (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)
Xiaochong Lan, Yiming Cheng, Li Sheng, Chen Gao, Yong Li
Depression Detection on Social Media with Large Language Models. CoRR (2024)
Zefang Zong, Tong Xia, Meng Zheng, Yong Li
Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Hongjie Sui, Huan Yan, Tianyi Zheng, Wenzhen Huang, Yunlin Zhuang, Yong Li
Congestion-aware Spatio-Temporal Graph Convolutional Network-based A* Search Algorithm for Fastest Route Search. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Fenyu Jiang, Huandong Wang, Yong Li
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li
From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas. CoRR (2024)
Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models. CoRR (2023)
Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. AAAI (2023)
Zefang Zong, Huan Yan, Hongjie Sui, Haoxiang Li, Peiqi Jiang, Yong Li
An AI-based Simulation and Optimization Framework for Logistic Systems. CIKM (2023)
Ruikun Li, Huandong Wang, Yong Li
Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales. KDD (2023)
Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li
Spatio-temporal Diffusion Point Processes. CoRR (2023)
Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. CoRR (2023)
Tong Li, Yanxin Xi, Huandong Wang, Yong Li, Sasu Tarkoma, Pan Hui
Learning Representations of Satellite Imagery by Leveraging Point-of-Interests. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li
NEON: Living Needs Prediction System in Meituan. KDD (2023)
Jinghua Piao, Jiazhen Liu, Fang Zhang, Jun Su, Yong Li
Human-AI adaptive dynamics drives the emergence of information cocoons. Nat. Mac. Intell. 5 (11) (2023)
Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. KDD (2023)
Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. WWW (2023)
Tao Feng, Sirui Song, Tong Xia, Yong Li
Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning. ACM Trans. Knowl. Discov. Data 17 (3) (2023)
Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. WWW (2023)
Jiahui Gong, Yu Liu, Tong Li, Haoye Chai, Xing Wang, Junlan Feng, Chao Deng, Depeng Jin, Yong Li
Empowering Spatial Knowledge Graph for Mobile Traffic Prediction. SIGSPATIAL/GIS (2023)
Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. RecSys (2023)
Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD (2023)
Shiyuan Zhang, Tong Li, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, Yong Li
Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph. KDD (2023)
Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning. KDD (2023)
Hongzhi Shi, Quanming Yao, Yong Li
Learning to Simulate Crowd Trajectories with Graph Networks. WWW (2023)
Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. 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, Huandong Wang, Yong Li
Origin-Destination Network Generation via Gravity-Guided GAN. CoRR (2023)
Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data. CoRR (2023)
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Yuan Yuan, Fengli Xu, Hancheng Cao, Guozhen Zhang, Pan Hui, Yong Li, Depeng Jin
Persuade to Click: Context-Aware Persuasion Model for Online Textual Advertisement. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Tong Li, Yali Fan, Yong Li, Sasu Tarkoma, Pan Hui
Understanding the Long-Term Evolution of Mobile App Usage. IEEE Trans. Mob. Comput. 22 (2) (2023)
Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. CoRR (2023)
Lin Chen, Fengli Xu, Qianyue Hao, Pan Hui, Yong Li
Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data. ICWSM (2023)
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR (2023)
Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network. CIKM (2023)
Shuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, Yong Li
Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns. KDD (2023)
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR (2023)
Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
Bundle Recommendation and Generation With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. CoRR (2023)
Mudan Wang, Yuan Yuan, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li, Depeng Jin
Discovering Causes of Traffic Congestion via Deep Transfer Clustering. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Tong Li, Yong Li, Mingyang Zhang, Sasu Tarkoma, Pan Hui
You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Haoqiang Liu, Zefang Zong, Yong Li, Depeng Jin
NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning. Appl. Soft Comput. 146 (2023)
Jinhui Yi, Huan Yan, Haotian Wang, Jian Yuan, Yong Li
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions. CIKM (2023)
Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li
UrbanKG: An Urban Knowledge Graph System. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yong Li