Haotian Wang

2025

NeighSqueeze: Compact Neighborhood Grouping for Efficient Billion-Scale Heterogeneous Graph Learning.

Xinyue Feng|Shuxin Zhong|Jinquan Hang|Yuequn Zhang|Guang Yang|Haotian Wang|Desheng Zhang|Guang Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

D3-TR: Data-driven Daily Delivery Task Rescheduling for Cost-effective Last-mile Delivery.

Lidi Zhang|Yinfeng Xiang|Wenjun Lyu|Zhiqing Hong|Haotian Wang|Desheng Zhang|Yunhuai Liu|Tian He

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

InCo: Exploring Inter-Trip Cooperation for Efficient Last-mile Delivery.

Wenjun Lyu|Shuxin Zhong|Guang Yang|Haotian Wang|Yi Ding|Shuai Wang|Yunhuai Liu|Tian He|Desheng Zhang

Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2024

Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration Framework.

Fudan Yu|Guozhen Zhang|Haotian Wang|Depeng Jin|Yong Li

ACM Transactions on Intelligent Systems and Technology (TIST) 2024 Volume 15 Issue 5

RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction.

Jinhui Yi|Huan Yan|Haotian Wang|Jian Yuan|Yong Li

ACM Transactions on Intelligent Systems and Technology (TIST) 2024 Volume 15 Issue 6

CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning.

Shuai Wang|Tongtong Kong|Baoshen Guo|Li Lin|Haotian Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

Adaptive Cross-platform Transportation Time Prediction for Logistics.

Shuxin Zhong|Wenjun Lyu|Zhiqing Hong|Guang Yang|Weijian Zuo|Haotian Wang|Guang Wang|Yu Yang|Desheng Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

Robust Route Planning under Uncertain Pickup Requests for Last-mile Delivery.

Hua Yan|Heng Tan|Haotian Wang|Desheng Zhang|Yu Yang

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

AutoBuild: Automatic Community Building Labeling for Last-mile Delivery.

Zhiqing Hong|Dongjiang Cao|Haotian Wang|Guang Wang|Tian He|Desheng Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

Urban-scale POI Updating with Crowd Intelligence.

Zhiqing Hong|Haotian Wang|Wenjun Lyu|Hai Wang|Yunhuai Liu|Guang Wang|Tian He|Desheng Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

Logistics Audience Expansion via Temporal Knowledge Graph.

Hua Yan|Rouzbeh Meymandpour|Yu Yang|Yingqiang Ge|Haotian Wang|Desheng Zhang|Yu Yang|Rouzbeh Meymandpour

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions.

Jinhui Yi|Huan Yan|Haotian Wang|Jian Yuan|Yong Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023