Publications
Publications. (‡ Equal contribution, † Corresponding author)
2026
-
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
Zhiqing Hong, Zelong Li, Xiubin Fan, Guang Yang, Baoshen Guo†, Haotian Wang, Tian He, Desheng Zhang
In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
(† Corresponding author) -
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion
Baoshen Guo, Zhiqing Hong, Junyi Li, Shenhao Wang, Jinhua Zhao
In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
2025
-
Language Models Meet Urban Mobility: A Data-Centric Review
Baoshen Guo, Zhiqing Hong, Lidan Cao, Donghang Li, Junyi Li, Can Rong, Alok Prakash, Shenhao Wang, Jinhua Zhao
TechRxiv, 2025
[Paper] -
Towards Generalizable Human Activity Recognition: A Survey
Yize Cai‡, Baoshen Guo‡, Flora Salim, Zhiqing Hong
arXiv:2508.12213, 2025
[arXiv] -
Learning from Risk: LLM-Guided Generation of Safety-Critical Scenarios with Prior Knowledge
Yuhang Wang, Heye Huang, Zhenhua Xu, Kailai Sun, Baoshen Guo, Jinhua Zhao
arXiv:2511.20726, 2025
[arXiv] -
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion
Baoshen Guo, Zhiqing Hong, Junyi Li, Shenhao Wang, Jinhua Zhao
arXiv:2507.13366, 2025
[arXiv]
2024
-
Multi-task Conditional Attention Network for Conversion Prediction in Logistics Advertising
Baoshen Guo, Xining Song, Shuai Wang, Wei Gong, Tian He, Xue Liu
In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 -
CourIRL: Predicting Couriers’ Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning
Shuai Wang, Tongtong Kong, Baoshen Guo, Li Lin, Haotian Wang
In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024 -
DECO: Cooperative Order Dispatching for On-Demand Delivery with Real-Time Encounter Detection
Yao Lu, Shuai Wang, Yu Yang, Hai Wang, Baoshen Guo, Desheng Zhang, Shuai Wang, Tian He
In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024 -
Multi-sensor Data-driven Route Prediction in Instant Delivery with a 3-Conversion Network
Zhiyuan Zhou, Xiaolei Zhou, Baoshen Guo, Shuai Wang, Tian He
ACM Transactions on Sensor Networks (TOSN), 2024 -
Nationwide Behavior-Aware Coordinates Mining from Uncertain Delivery Events
Zhiqing Hong, Guang Wang, Wenjun Lyu, Baoshen Guo, Yi Ding, Haotian Wang, Shuai Wang, Yunhuai Liu, Desheng Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
2023
-
Towards equitable assignment: Data-driven delivery zone partition at last-mile logistics
Baoshen Guo, Shuai Wang, Haotian Wang, Yunhuai Liu, Fanshuo Kong, Desheng Zhang, Tian He
In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
[PDF] -
Attention Enhanced Package Pick-Up Time Prediction via Heterogeneous Behavior Modeling
Baoshen Guo, Weijian Zuo, Shuai Wang, Xiaolei Zhou, Tian He
International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2023
[PDF] -
Cross-region courier displacement for on-demand delivery with multi-agent reinforcement learning
Shuai Wang, Shijie Hu, Baoshen Guo†, Guang Wang
IEEE Transactions on Big Data (TBD), 2023
(† Corresponding author) -
FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services
Lin Jiang, Shuai Wang, Baoshen Guo, Hai Wang, Desheng Zhang, Guang Wang
In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023 -
Time-Constrained Actor-Critic Reinforcement Learning for Concurrent Order Dispatch in On-demand Delivery
Shuai Wang, Baoshen Guo†, Yi Ding, Guang Wang, Suining He, Desheng Zhang, Tian He
IEEE Transactions on Mobile Computing (TMC), 2023
(† Corresponding author) -
TGT: Churn Prediction in O2O Logistics with Two-tower Gated Transformer
Baoshen Guo, Hai Wang, Hao Liu, Wei Gong, Wei Xi, Xiaolei Zhou, Shuai Wang
IEEE International Conference on Parallel and Distributed Processing with Applications (ISPA), 2023
2022
-
Wepos: Weak-supervised indoor positioning with unlabeled wifi for on-demand delivery
Baoshen Guo, Weijian Zuo, Shuai Wang, Wenjun Lyu, Zhiqing Hong, Yi Ding, Tian He, Desheng Zhang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022 -
O2-SiteRec: Store Site Recommendation under the O2O Model via Multi-graph Attention Networks
Hua Yan, Shuai Wang, Yu Yang, Baoshen Guo, Tian He, Desheng Zhang
IEEE International Conference on Data Engineering (ICDE), 2022 -
RT-VeD: Real-Time VoI Detection on Edge Nodes with an Adaptive Model Selection Framework
Shuai Wang, Junke Lu, Baoshen Guo, Zheng Dong
In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022 -
RAV: Learning-based adaptive streaming to coordinate the audio and video bitrate selections
Weihe Li, Jiawei Huang, Wenjun Lyu, Baoshen Guo, Wanchun Jiang, Jianxin Wang
IEEE Transactions on Multimedia (TMM), 2022 -
Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery
Wenjun Lyu, Kexin Zhang, Baoshen Guo, Zhiqing Hong, Guang Yang, Guang Wang, Yu Yang, Yunhuai Liu, Desheng Zhang
In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022 -
CoMiner: nationwide behavior-driven unsupervised spatial coordinate mining from uncertain delivery events
Zhiqing Hong, Guang Wang, Wenjun Lyu, Baoshen Guo, Yi Ding, Haotian Wang, Shuai Wang, Yunhuai Liu, Desheng Zhang
In Proceedings of the 30th International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2022 -
Exploiting Intra-and Inter-Region Relations for Sales Prediction via Graph Convolutional Network
Yaochang Liu, Baoshen Guo, Xining Song, Shuai Wang, Tian He
IEEE Global Communications Conference (GLOBECOM), 2022
2021
-
Concurrent order dispatch for instant delivery with time-constrained actor-critic reinforcement learning
Baoshen Guo, Shuai Wang, Yi Ding, Guang Wang, Suining He, Desheng Zhang, Tian He
IEEE Real-Time Systems Symposium (RTSS), 2021 -
A City-Wide Crowdsourcing Delivery System with Reinforcement Learning
Yi Ding, Baoshen Guo, Lin Zheng, Mingming Lu, Desheng Zhang, Shuai Wang, Sang Hyuk Son, Tian He
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2021 -
CSMC: Cellular Signal Map Construction via Mobile Crowdsensing
Hai Wang, Baoshen Guo, Shuai Wang, Tian He, Desheng Zhang
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2021 -
DoseGuide: A Graph-based Dynamic Time-aware Prediction System for Postoperative Pain
Ziyi Zhou, Baoshen Guo, Cao Zhang
IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2021 -
Multi-Source Data-Driven Route Prediction for Instant Delivery
Zhiyuan Zhou, Xiaolei Zhou, Yao Lu, Hua Yan, Baoshen Guo, Shuai Wang
International Conference on Mobility, Sensing and Networking (MSN), 2021