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2020 – today
- 2024
[j188]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)- [j187]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) - [j186]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) - [j185]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) - [j184]Huandong Wang, Qizhong Zhang, Yuchen Wu, Depeng Jin, Xing Wang, Lin Zhu, Li Yu:
Synthesizing Human Trajectories Based on Variational Point Processes. IEEE Trans. Knowl. Data Eng. 36(4): 1785-1799 (2024) - [j183]Yibo Ma, Tong Li, Yan Zhou, Li Yu, Depeng Jin:
Mitigating Energy Consumption in Heterogeneous Mobile Networks Through Data-Driven Optimization. IEEE Trans. Netw. Serv. Manag. 21(4): 4369-4382 (2024) - [j182]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) - [j181]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) - [c189]Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li:
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. ICLR 2024 - [c188]Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li:
Stance Detection with Collaborative Role-Infused LLM-Based Agents. ICWSM 2024: 891-903 - [c187]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 - [c186]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 - [c185]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 - [c184]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) 2024: 650-653 - [c183]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 - [c182]Nian Li, Yunzhu Pan, Chen Gao, Depeng Jin, Qingmin Liao:
Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform. WWW 2024: 4565-4574 - [c181]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li:
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. WWW 2024: 4697-4705 - [i63]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) - [i62]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) - [i61]Zhilun Zhou, Yuming Lin, Depeng Jin, Yong Li:
Large Language Model for Participatory Urban Planning. CoRR abs/2402.17161 (2024) - [i60]Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li:
MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR abs/2403.09197 (2024) - [i59]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) - [i58]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) - [i57]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) - [i56]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
- [j180]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) - [j179]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) - [j178]Guozhen Zhang, Fengli Xu, Yuan Yuan, Depeng Jin:
Understanding the Influence of Social Hubs in Diffusion Processes Driven by Incentivized Friend Invitation. IEEE Trans. Comput. Soc. Syst. 10(4): 1491-1502 (2023) - [j177]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) - [j176]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) - [j175]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) - [j174]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) - [j173]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) - [j172]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) - [j171]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) - [j170]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) - [j169]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) - [j168]Nian Li, Chen Gao, Depeng Jin, Qingmin Liao:
Disentangled Modeling of Social Homophily and Influence for Social Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 5738-5751 (2023) - [j167]Yingrong Qin, Chen Gao, Yue Wang, Shuangqing Wei, Depeng Jin, Jian Yuan, Lin Zhang:
Disentangling Geographical Effect for Point-of-Interest Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7883-7897 (2023) - [j166]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) - [c180]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 - [c179]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 - [c178]Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li:
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network. CIKM 2023: 2188-2197 - [c177]Zihan Yu, Guozhen Zhang, Yong Li, Depeng Jin:
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation. CIKM 2023: 3052-3061 - [c176]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 - [c175]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 - [c174]Fuxian Li, Huan Yan, Hongjie Sui, Deng Wang, Fan Zuo, Yue Liu, Yong Li, Depeng Jin:
Periodic Shift and Event-aware Spatio-Temporal Graph Convolutional Network for Traffic Congestion Prediction. SIGSPATIAL/GIS 2023: 50:1-50:10 - [c173]Mudan Wang, Huan Yan, Huandong Wang, Yong Li, Depeng Jin:
Contagion Process Guided Cross-scale Spatio-Temporal Graph Neural Network for Traffic Congestion Prediction. SIGSPATIAL/GIS 2023: 89:1-89:11 - [c172]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 - [c171]Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. KDD 2023: 3173-3184 - [c170]Wenxuan Ao, Guozhen Zhang, Yong Li, Depeng Jin:
Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing Industry. KDD 2023: 3713-3723 - [c169]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: 4195-4206 - [c168]Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. KDD 2023: 4617-4627 - [c167]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: 4842-4851 - [c166]Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. KDD 2023: 5695-5706 - [c165]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Huimin Ma, Yong Li:
Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing. ACM Multimedia 2023: 6274-6282 - [c164]Jiahui Gong, Qiaohong Yu, Tong Li, Haoqiang Liu, Jun Zhang, Hangyu Fan, Depeng Jin, Yong Li:
Demo: Scalable Digital Twin System for Mobile Networks with Generative AI. MobiSys 2023: 610-611 - [c163]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: 540-550 - [c162]Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li:
Learning Fine-grained User Interests for Micro-video Recommendation. SIGIR 2023: 433-442 - [c161]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: 2466-2470 - [c160]Jun Zhang, Wenxuan Ao, Depeng Jin, Li Liu, Yong Li:
A City-level High-performance Spatio-temporal Mobility Simulation System. SuMob@SIGSPATIAL 2023: 23-32 - [c159]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 - [c158]Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li:
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. WWW 2023: 429-437 - [c157]Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. WWW 2023: 906-916 - [c156]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. WWW 2023: 917-927 - [c155]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 - [i55]Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. CoRR abs/2302.03965 (2023) - [i54]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) - [i53]Huiming Chen, Huandong Wang, Depeng Jin, Yong Li:
Advancements in Federated Learning: Models, Methods, and Privacy. CoRR abs/2302.11466 (2023) - [i52]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) - [i51]Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li:
Spatio-temporal Diffusion Point Processes. CoRR abs/2305.12403 (2023) - [i50]Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li:
Road Planning for Slums via Deep Reinforcement Learning. CoRR abs/2305.13060 (2023) - [i49]Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li, Tao Jiang:
Carbon emissions and sustainability of launching 5G mobile networks in China. CoRR abs/2306.08337 (2023) - [i48]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 abs/2306.10275 (2023) - [i47]Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li:
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. CoRR abs/2307.09866 (2023) - [i46]Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, Yong Li:
S3: Social-network Simulation System with Large Language Model-Empowered Agents. CoRR abs/2307.14984 (2023) - [i45]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR abs/2308.03470 (2023) - [i44]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 abs/2308.04086 (2023) - [i43]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. CoRR abs/2308.13249 (2023) - [i42]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) - [i41]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) - [i40]Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li:
Stance Detection with Collaborative Role-Infused LLM-Based Agents. CoRR abs/2310.10467 (2023) - [i39]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. CoRR abs/2311.08272 (2023) - [i38]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. CoRR abs/2311.08302 (2023) - [i37]Tong Li, Fenyu Jiang, Qiaohong Yu, Wenzhen Huang, Tao Jiang, Depeng Jin:
How AI-driven Digital Twins Can Empower Mobile Networks. CoRR abs/2311.12273 (2023) - 2022
- [j165]Shuodi Hui, Huandong Wang, Dianlei Xu, Jing Wu, Yong Li, Depeng Jin:
Distinguishing Between Smartphones and IoT Devices via Network Traffic. IEEE Internet Things J. 9(2): 1182-1196 (2022) - [j164]Fuxian Li, Jie Feng, Huan Yan, Depeng Jin, Yong Li:
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network. ACM Trans. Intell. Syst. Technol. 13(5): 81:1-81:14 (2022) - [j163]Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [j162]Huandong Wang, Yong Li, Junjie Lin, Hancheng Cao, Depeng Jin:
Context-Aware Semantic Annotation of Mobility Records. ACM Trans. Knowl. Discov. Data 16(3): 47:1-47:20 (2022) - [j161]Jie Feng, Yong Li, Ziqian Lin, Can Rong, Funing Sun, Diansheng Guo, Depeng Jin:
Context-aware Spatial-Temporal Neural Network for Citywide Crowd Flow Prediction via Modeling Long-range Spatial Dependency. ACM Trans. Knowl. Discov. Data 16(3): 49:1-49:21 (2022) - [j160]Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin:
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. IEEE Trans. Knowl. Data Eng. 34(2): 954-968 (2022) - [j159]Jie Feng, Yong Li, Zeyu Yang, Qiang Qiu, Depeng Jin:
Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2360-2374 (2022) - [j158]Chen Gao, Chao Huang, Donghan Yu, Haohao Fu, Tzu-Heng Lin, Depeng Jin, Yong Li:
Item Recommendation for Word-of-Mouth Scenario in Social E-Commerce. IEEE Trans. Knowl. Data Eng. 34(6): 2798-2809 (2022) - [j157]Chen Gao, Nian Li, Tzu-Heng Lin, Dongsheng Lin, Jun Zhang, Yong Li, Depeng Jin:
Social Recommendation With Characterized Regularization. IEEE Trans. Knowl. Data Eng. 34(6): 2921-2933 (2022) - [j156]Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li:
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. IEEE Trans. Knowl. Data Eng. 34(12): 5693-5707 (2022) - [j155]Dianlei Xu, Huandong Wang, Yong Li, Sasu Tarkoma, Depeng Jin, Pan Hui:
IoT vs. Human: A Comparison of Mobility. IEEE Trans. Mob. Comput. 21(4): 1257-1273 (2022) - [j154]Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin:
DeepMM: Deep Learning Based Map Matching With Data Augmentation. IEEE Trans. Mob. Comput. 21(7): 2372-2384 (2022) - [c154]Zefang Zong, Meng Zheng, Yong Li, Depeng Jin:
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems. AAAI 2022: 9980-9988 - [c153]Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin:
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. CIKM 2022: 1084-1093 - [c152]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM 2022: 1209-1218 - [c151]Jun Zhang, Depeng Jin, Yong Li:
Mirage: an efficient and extensible city simulation framework (systems paper). SIGSPATIAL/GIS 2022: 16:1-16:4 - [c150]Changzheng Gao, Tao Feng, Huandong Wang, Depeng Jin, Junlan Feng, Xing Wang, Lin Zhu, Chao Deng:
A Multi-scale Ensemble Learning Model for Cellular Traffic Prediction. GLOBECOM 2022: 209-214 - [c149]Qiaohong Yu, Huandong Wang, Tong Li, Depeng Jin, Xing Wang, Lin Zhu, Junlan Feng, Chao Deng:
Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks. ICC Workshops 2022: 885-890 - [c148]Guozhen Zhang, Zihan Yu, Depeng Jin, Yong Li:
Physics-infused Machine Learning for Crowd Simulation. KDD 2022: 2439-2449 - [c147]Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li:
Automatically Discovering User Consumption Intents in Meituan. KDD 2022: 3259-3269 - [c146]