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ORCIDYong Li 0008
李勇
Person information
- unicode name: 李勇
- affiliation: Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist), China
- affiliation (PhD 2012): Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Yong Li — disambiguation page
- Yong Li 0001
![[0000-0002-4096-8652]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4096-8652")
— Beijing University of Posts and Telecommunications (BUPT), Wireless Signal Processing and Network Laboratory, China - Yong Li 0002 — Beijing Jiaotong University, School of Electronic and Information Engineering, China (and 1 more)
- Yong Li 0003 — Toyama University, Toyama-shi, Japan
- Yong Li 0004 — Zhejiang University, Hangzhou, China
- Yong Li 0005 — State Key Laboratory of Novel Software Technology, Nanjing, China
- Yong Li 0006 — National University of Defense Technology, China
- Yong Li 0007 — Chinese Academy of Sciences, Institute of Computing Technology, China
- Yong Li 0009 — University of Pittsburgh, Department of ECE, PA, USA
- Yong Li 0010 — Siemens Corporate Research, Princeton, NJ, USA
- Yong Li 0011 — Bielefeld University, Institute of Genome Research, Germany (and 1 more)
- Yong Li 0012 — King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (and 1 more)
- Yong Li 0013 — Shandong University, Geotechnical & Structural Engineering Research Center, Jinan, China
- Yong Li 0014 — Chinese Academy of Sciences, Key Laboratory of Spectral Imaging Technology, Xi'an, China
- Yong Li 0015 — University of Tennessee at Knoxville, Department of Electrical Engineering and Computer Science, TN, USA
- Yong Li 0016 — Hunan University, College of Electrical and Information Engineering, Changsha, China (and 1 more)
- Yong Li 0017 — Xi'an Jiaotong University, School of Aerospace, State Key Laboratory for Strength and Vibration of Mechanical Structures, China
- Yong Li 0018 — University of Pittsburgh, Department of Mathematics, PA, USA
- Yong Li 0019 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
- Yong Li 0020 — Jiangsu University, Automotive Engineering Research Institute, Zhenjiang, China (and 1 more)
- Yong Li 0021 — Huawei Technologies Düsseldorf GmbH, Germany (and 1 more)
- Yong Li 0022 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, China
- Yong Li 0023 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Mobile Communications Technology, China (and 1 more)
- Yong Li 0024 — Chinese Academy of Sciences, Institute of Subtropical Agriculture, Changsha, China
- Yong Li 0025 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China (and 1 more)
- Yong Li 0026 — Hong Kong Polytechnic University, Department of Electrical Engineering, Hong Kong (and 1 more)
- Yong Li 0027 — Guangzhou Institute of Geography, Open Laboratory of Geo-Spatial Information Technology and Application of Guangdong Province, China
- Yong Li 0028 — Guangxi University, School of Electrical Engineering, Nanning, China (and 2 more)
- Yong Li 0029 — Zhejiang University, Hangzhou, China
- Yong Li 0030 — Chinese Academy of Forestry, Institute of Wetland Research, Beijing, China (and 1 more)
- Yong Li 0031 — Chinese Academy of Sciences, Science, Institute of Software, State Key Laboratory of Computer Science, Beijing, China
- Yong Li 0032 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China
- Yong Li 0033 — Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Yong Li 0034 — JD.com, Intelligent Advertising Lab, China (and 1 more)
- Yong Li 0035 — Shenyang University of Technology, School of Electrical Engineering, China (and 1 more)
- Yong Li 0036 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Yong Li 0037 — Beijing University of Technology, School of Software Engineering, Faculty of Information Technology, China
- Yong Li 0038 — VIPSHOP, China (and 1 more)
- Yong Li 0039 — Northwestern Polytechnical University, School of Marine science and Technology, Xi'an, China
- Yong Li 0040 — ShanghaiTech University, School of Information Science and Technology, China
- Yong Li 0041 — Harbin Institute of Technology, Electrical Engineering Department, China
- Yong Li 0042 — East China University of Science and Technology, School of Mechanical and Power Engineering, Shanghai, China (and 1 more)
- Yong Li 0043 — Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, China (and 3 more)
- Yong Li 0044 — Nanjing University of Science and Technology, PCALab, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, China
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2020 – today
- 2025
[j325]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. Inf. Fusion 113: 102606 (2025)- 2024
- [j324]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): 185603 (2024) - [j323]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): 7:1-7:34 (2024) - [j322]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): 21:1-21:24 (2024) - [j321]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): 32:1-32:19 (2024) - [j320]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): 34:1-34:25 (2024) - [j319]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): 54:1-54:19 (2024) - [j318]Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin:
Urban Knowledge Graph Aided Mobile User Profiling. ACM Trans. Knowl. Discov. Data 18(1): 28:1-28:30 (2024) - [j317]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): 53:1-53:22 (2024) - [j316]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) - [j315]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): 179 (2024) - [j314]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): 18:1-18:24 (2024) - [j313]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) - [j312]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): 82:1-82:29 (2024) - [j311]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): 88:1-88:32 (2024) - [j310]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): 140:1-140:26 (2024) - [c293]Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang:
Social Physics Informed Diffusion Model for Crowd Simulation. AAAI 2024: 474-482 - [c292]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 - [c291]Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li:
UV-SAM: Adapting Segment Anything Model for Urban Village Identification. AAAI 2024: 22520-22528 - [c290]Nian Li, Chen Gao, Mingyu Li, Yong Li, Qingmin Liao:
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities. ACL (1) 2024: 15523-15536 - [c289]Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li:
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. ICLR 2024 - [c288]Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao:
Understanding Expressivity of GNN in Rule Learning. ICLR 2024 - [c287]Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li:
Stance Detection with Collaborative Role-Infused LLM-Based Agents. ICWSM 2024: 891-903 - [c286]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: 307-318 - [c285]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 - [c284]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: 1655-1666 - [c283]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 - [c282]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: 3128-3139 - [c281]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 - [c280]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM 2024: 370-378 - [c279]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: 996-1005 - [c278]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: 75-76 - [c277]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: 396-404 - [c276]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: 405-413 - [c275]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) 2024: 650-653 - [c274]Ziyi Liu, Huandong Wang, Yong Li:
Understanding Deployment Experience of 5G. WWW (Companion Volume) 2024: 742-745 - [c273]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 - [c272]Haoye Chai, Tong Li, Fenyu Jiang, Shiyuan Zhang, Yong Li:
Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation. WWW (Companion Volume) 2024: 851-854 - [c271]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: 1142-1145 - [c270]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: 1290-1293 - [c269]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li:
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. WWW 2024: 4697-4705 - [i141]Siyi Liu, Chen Gao, Yong Li:
Large Language Model Agent for Hyper-Parameter Optimization. CoRR abs/2402.01881 (2024) - [i140]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) - [i139]Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang:
Social Physics Informed Diffusion Model for Crowd Simulation. CoRR abs/2402.06680 (2024) - [i138]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) - [i137]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. CoRR abs/2402.11518 (2024) - [i136]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) - [i135]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) - [i134]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 abs/2402.13840 (2024) - [i133]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) - [i132]Zhilun Zhou, Yuming Lin, Depeng Jin, Yong Li:
Large Language Model for Participatory Urban Planning. CoRR abs/2402.17161 (2024) - [i131]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 abs/2402.19348 (2024) - [i130]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 abs/2403.03962 (2024) - [i129]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR abs/2403.09197 (2024) - [i128]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) - [i127]Xiaochong Lan, Yiming Cheng, Li Sheng, Chen Gao, Yong Li:
Depression Detection on Social Media with Large Language Models. CoRR abs/2403.10750 (2024) - [i126]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 abs/2405.11764 (2024) - [i125]Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, Yong Li:
MOSS: A Large-scale Open Microscopic Traffic Simulation System. CoRR abs/2405.12520 (2024) - [i124]Shaohua Wang, Xing Xie, Yong Li, Danhuai Guo, Zhi Cai, Yu Liu, Yang Yue, Xiao Pan, Feng Lu, Huayi Wu, Zhipeng Gui, Zhiming Ding, Bolong Zheng, Fuzheng Zhang, Tao Qin, Jingyuan Wang, Chuang Tao, Zhengchao Chen, Hao Lu, Jiayi Li, Hongyang Chen, Peng Yue, Wenhao Yu, Yao Yao, Leilei Sun, Yong Zhang, Longbiao Chen, Xiaoping Du, Xiang Li, Xueying Zhang, Kun Qin, Zhaoya Gong, Weihua Dong, Xiaofeng Meng:
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence. CoRR abs/2405.19730 (2024) - [i123]Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao:
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. CoRR abs/2406.01145 (2024) - [i122]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 abs/2406.02126 (2024) - [i121]Jun Zhang, Wenxuan Ao, Junbo Yan, Depeng Jin, Yong Li:
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking. CoRR abs/2406.10661 (2024) - [i120]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 abs/2406.11282 (2024) - [i119]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 abs/2406.13945 (2024) - [i118]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) - [i117]Can Rong, Jingtao Ding, Yan Liu, Yong Li:
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation. CoRR abs/2407.15823 (2024) - [i116]Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li:
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. CoRR abs/2407.16729 (2024) - 2023
- [j309]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: 110680 (2023) - [j308]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): 1214-1224 (2023) - [j307]Yu Zheng, Yuming Lin, Liang Zhao, Tinghai Wu, Depeng Jin, Yong Li:
Spatial planning of urban communities via deep reinforcement learning. Nat. Comput. Sci. 3(9): 748-762 (2023) - [j306]Erzhuo Shao, Zhenyu Han, Yulai Xie, Yang Zhang, Lu Geng, Yong Li:
Interior Individual Trajectory Simulation with Population Distribution Constraint. ACM Trans. Intell. Syst. Technol. 14(1): 2:1-2:17 (2023) - [j305]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): 8:1-8:27 (2023) - [j304]Guozhen Zhang, Jinhui Yi, Jian Yuan, Yong Li, Depeng Jin:
DAS: Efficient Street View Image Sampling for Urban Prediction. ACM Trans. Intell. Syst. Technol. 14(2): 35:1-35:20 (2023) - [j303]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) - [j302]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): 61:1-61:32 (2023) - [j301]Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang:
Dual Graph Convolution Architecture Search for Travel Time Estimation. ACM Trans. Intell. Syst. Technol. 14(4): 64:1-64:23 (2023) - [j300]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): 71:1-71:21 (2023) - [j299]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): 79:1-79:24 (2023) - [j298]Zhenyu Han, Siran Ma, Changzheng Gao, Erzhuo Shao, Yulai Xie, Yang Zhang, Lu Geng, Yong Li:
Disease Simulation in Airport Scenario Based on Individual Mobility Model. ACM Trans. Intell. Syst. Technol. 14(5): 84:1-84:24 (2023) - [j297]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): 9:1-9:21 (2023) - [j296]Jinwei Chen, Zefang Zong, Yunlin Zhuang, Huan Yan, Depeng Jin, Yong Li:
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups. ACM Trans. Knowl. Discov. Data 17(3): 33:1-33:19 (2023) - [j295]Tao Feng, Sirui Song, Tong Xia, Yong Li:
Contact Tracing and Epidemic Intervention via Deep Reinforcement Learning. ACM Trans. Knowl. Discov. Data 17(3): 34:1-34:24 (2023) - [j294]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): 58:1-58:28 (2023) - [j293]Can Rong, Tong Li, Jie Feng, Yong Li:
Inferring Origin-Destination Flows From Population Distribution. IEEE Trans. Knowl. Data Eng. 35(1): 603-613 (2023) - [j292]Chen Gao, Tzu-Heng Lin, Nian Li, Depeng Jin, Yong Li:
Cross-Platform Item Recommendation for Online Social E-Commerce. IEEE Trans. Knowl. Data Eng. 35(2): 1351-1364 (2023) - [j291]Yu Zheng, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35(2): 1609-1623 (2023) - [j290]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): 1938-1951 (2023) - [j289]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): 2326-2340 (2023) - [j288]Yali Fan, Zhen Tu, Tong Li, Hancheng Cao, Tong Xia, Yong Li, Xiang Chen, Lin Zhang:
Understanding the Long-Term Dynamics of Mobile App Usage Context via Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(3): 3180-3194 (2023) - [j287]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): 1213-1230 (2023) - [j286]Zhen Xu, Quanming Yao, Yong Li, Qiang Yang:
Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [j285]Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. 1(1): 1-51 (2023) - [j284]Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao:
Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. World Wide Web (WWW) 26(5): 3253-3274 (2023) - [c268]Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li:
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. AAAI 2023: 14539-14547 - [c267]Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li:
Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. CIKM 2023: 885-894 - [c266]Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li:
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network. CIKM 2023: 2188-2197 - [c265]Zihan Yu, Guozhen Zhang, Yong Li, Depeng Jin:
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation. CIKM 2023: 3052-3061 - [c264]Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CIKM 2023: 4787-4793 - [c263]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: 4916-4922 - [c262]Zefang Zong, Huan Yan, Hongjie Sui, Haoxiang Li, Peiqi Jiang, Yong Li:
An AI-based Simulation and Optimization Framework for Logistic Systems. CIKM 2023: 5138-5142 - [c261]Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP 2023: 16620-16631 - [c260]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: 24:1-24:11 - [c259]