Haoyuan Hu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 54

Top Topics

Hierarchical Model

Balancing Exploration And Exploitation

Reinforcement Learning

Indoor Localization

Top Venues

Publications

Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion. CoRR (2024)
Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan
LaDe: The First Comprehensive Last-mile Express Dataset from Industry. KDD (2024)
Peng Li, Lixia Wu, Chaoqun Feng, Haoyuan Hu, Lei Fu, Jieping Ye
Differentiation of Multi-objective Data-driven Decision Pipeline. CoRR (2024)
Yuan Gao, Yiheng Zhu, Yuanbin Cao, Yinzhi Zhou, Zhen Wu, Yujie Chen, Shenglan Wu, Haoyuan Hu, Xinyu Dai
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering. CoRR (2024)
Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion. KDD (2024)
Yuan Gao, Yiheng Zhu, Yuanbin Cao, Yinzhi Zhou, Zhen Wu, Yujie Chen, Shenglan Wu, Haoyuan Hu, Xinyu Dai
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering. LREC/COLING (2024)
Lisha Ye, Jianfeng Zhou, Zhe Yin, Kunpeng Han, Haoyuan Hu, Dongjin Song
A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System. SDM (2024)
Hao Zeng, Qiong Wu, Kunpeng Han, Junying He, Haoyuan Hu
A Deep Reinforcement Learning Approach for Online Parcel Assignment. AAMAS (2023)
Minfang Lu, Yuchen Jiang, Huihui Dong, Qi Li, Ziru Xu, Yuanlin Liu, Lixia Wu, Haoyuan Hu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
Robust Representation Learning for Unified Online Top-K Recommendation. CoRR (2023)
Yuting Qiang, Haomin Wen, Lixia Wu, Xiaowei Mao, Fan Wu, Huaiyu Wan, Haoyuan Hu
Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. ICDE (2023)
Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu
An Online Algorithm for Chance Constrained Resource Allocation. CoRR (2023)
Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests. ICML (2023)
Lixia Wu, Jianlin Liu, Junhong Lou, Haoyuan Hu, Jianbin Zheng, Haomin Wen, Chao Song, Shu He
G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System. CoRR (2023)
Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback. AISTATS (2023)
Yiheng Zhu, Yang Zhan, Xuankun Huang, Yuwei Chen, Yujie Chen, Jiangwen Wei, Wei Feng, Yinzhi Zhou, Haoyuan Hu, Jieping Ye
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment. NeurIPS (2023)
Biao Yuan, Zengde Deng, Na Geng, Yujie Chen, Haoyuan Hu
Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels. INFORMS J. Appl. Anal. 53 (6) (2023)
Tianyue Cai, Huaiyu Wan, Fan Wu, Haomin Wen, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin
G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. ICDE (2023)
Haomin Wen, Youfang Lin, Yuxuan Hu, Fan Wu, Mingxuan Xia, Xinyi Zhang, Lixia Wu, Haoyuan Hu, Huaiyu Wan
Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. CoRR (2023)
Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. CoRR (2023)
Yanjun Dong, Haoyuan Hu, Min Zhu, Pan Hu, Lihong Jiang, Hongming Cai
Intelligent Manufacturing Collaboration Platform for 3D Curved Plates Based on Graph Matching. CSCWD (2023)
Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu
An Online Algorithm for Chance Constrained Resource Allocation. ICASSP (2023)
Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu, Haoyuan Hu
ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction. SIGIR (2023)
Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CIKM (2023)
Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. AAAI (2023)
Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. KDD (2023)
Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. ICML (2022)
Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback. CoRR (2022)
Dandan Zhang, Haotian Wu, Guanqi Zeng, Yao Yang, Weijiang Qiu, Yujie Chen, Haoyuan Hu
CTnoCVR: A Novelty Auxiliary Task Making the Lower-CTR-Higher-CVR Upper. SIGIR (2022)
Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu, Haoyuan Hu
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction. CoRR (2022)
Haomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. KDD (2022)
Jiankun Sun, Dennis J. Zhang, Haoyuan Hu, Jan A. Van Mieghem
Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations. Manag. Sci. 68 (2) (2022)
Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CoRR (2022)
Bing Bai, Hengchen Dai, Dennis J. Zhang, Fuqiang Zhang, Haoyuan Hu
The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Productivity: Evidence from Field Experiments. Manuf. Serv. Oper. Manag. 24 (6) (2022)
Haoyuan Hu, Ying Zhang, Jiangwen Wei, Yang Zhan, Xinhui Zhang, Shaojian Huang, Guangrui Ma, Yuming Deng, Siwei Jiang
Alibaba Vehicle Routing Algorithms Enable Rapid Pick and Delivery. INFORMS J. Appl. Anal. 52 (1) (2022)
Jinlei Zhang, Ergang Shan, Lixia Wu, Lixing Yang, Ziyou Gao, Haoyuan Hu
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems. CoRR (2022)
Hao Zeng, Yangdong Liu, Dandan Zhang, Kunpeng Han, Haoyuan Hu
A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment. CoRR (2021)
Zhiqi Chang, Jian-Ya Ding, Chao Zhang, Fan Dong, Haoyuan Hu, Tao Yao, Ling Wang
Multipartite-Graph Representation for Transportation Planning in Express Delivery Network. CDC (2021)
Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yang Yu
Online Allocation with Two-sided Resource Constraints. CoRR (2021)
Ying Zhang, Dandan Zhang, Longfei Wang, Zhu He, Haoyuan Hu
Balancing Exploration and Exploitation in the Memetic Algorithm via a Switching Mechanism for the Large-Scale VRPTW. DASFAA (1) (2020)
Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu
Balanced Order Batching with Task-Oriented Graph Clustering. KDD (2020)
Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu
Balanced Order Batching with Task-Oriented Graph Clustering. CoRR (2020)
Lu Duan, Yang Zhan, Haoyuan Hu, Yu Gong, Jiangwen Wei, Xiaodong Zhang, Yinghui Xu
Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach. KDD (2020)
Zhuo Li, Jiannong Cao, Xiulong Liu, Jiuwu Zhang, Haoyuan Hu, Didi Yao
A Self-Adaptive Bluetooth Indoor Localization System using LSTM-based Distance Estimator. ICCCN (2020)
Yichen Yao, Guozheng Li, Yujie Chen, Rongqi Li, Yinzhi Zhou, Xiaodong Zhang, Haoyuan Hu, Yinghui Xu
LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction. CIKM (2020)
Yi Zhang, Yu Qian, Yichen Yao, Haoyuan Hu, Yinghui Xu
Learning to Cooperate: Application of Deep Reinforcement Learning for Online AGV Path Finding. AAMAS (2020)
Zaiyi Chen, Yi Xu, Haoyuan Hu, Tianbao Yang
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number. ICML (2019)
Yujie Chen, Yu Qian, Yichen Yao, Zili Wu, Rongqi Li, Yinzhi Zhou, Haoyuan Hu, Yinghui Xu
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System. CoRR (2019)
Lu Duan, Haoyuan Hu, Yu Qian, Yu Gong, Xiaodong Zhang, Jiangwen Wei, Yinghui Xu
A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem. AAMAS (2019)
Yujie Chen, Yu Qian, Yichen Yao, Zili Wu, Rongqi Li, Yinzhi Zhou, Haoyuan Hu, Yinghui Xu
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? AAMAS (2019)
Haoyuan Hu, Lu Duan, Xiaodong Zhang, Yinghui Xu, Jiangwen Wei
A Multi-task Selected Learning Approach for Solving New Type 3D Bin Packing Problem. CoRR (2018)
Xinhang Zhang, Haoyuan Hu, Longfei Wang, Zhijun Sun, Ying Zhang, Kunpeng Han, Yinghui Xu
A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System. CoRR (2018)
Yiheng Zhu, Yichen Yao, Zili Wu, Yujie Chen, Guozheng Li, Haoyuan Hu, Yinghui Xu
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming. CoRR (2018)
Haoyuan Hu, Xiaodong Zhang, Xiaowei Yan, Longfei Wang, Yinghui Xu
Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method. CoRR (2017)