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Haoyuan Hu
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2020 – today
- 2025
- [j7]Feng Xiao, Jianfeng Zhou, Kunpeng Han, Haoyuan Hu, Jicong Fan:
Unsupervised anomaly detection using inverse generative adversarial networks. Inf. Sci. 689: 121435 (2025) - 2024
- [j6]Yujie Chen, Biao Yuan, Yinzhi Zhou, Yuwei Chen, Haoyuan Hu:
Smart Parcel Consolidation at Cainiao. INFORMS J. Appl. Anal. 54(5): 417-430 (2024) - [c29]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: 5350-5364 - [c28]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: 4107-4118 - [c27]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: 5991-6002 - [c26]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: 352-360 - [i20]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 abs/2403.12393 (2024) - [i19]Peng Li, Lixia Wu, Chaoqun Feng, Haoyuan Hu, Lei Fu, Jieping Ye:
Differentiation of Multi-objective Data-driven Decision Pipeline. CoRR abs/2406.00779 (2024) - [i18]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 abs/2406.12349 (2024) - 2023
- [j5]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): 446-450 (2023) - [j4]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): 13787-13800 (2023) - [c25]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: 4561-4568 - [c24]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: 3515-3537 - [c23]Hao Zeng, Qiong Wu, Kunpeng Han, Junying He, Haoyuan Hu:
A Deep Reinforcement Learning Approach for Online Parcel Assignment. AAMAS 2023: 1961-1968 - [c22]Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CIKM 2023: 3330-3339 - [c21]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: 1650-1655 - [c20]Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu:
An Online Algorithm for Chance Constrained Resource Allocation. ICASSP 2023: 1-5 - [c19]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: 3106-3112 - [c18]Tianyue Cai, Huaiyu Wan, Fan Wu, Haomin Wen, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin:
M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. ICDE 2023: 3296-3308 - [c17]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: 41786-41818 - [c16]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: 4628-4637 - [c15]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 - [c14]Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu, Haoyuan Hu:
ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction. SIGIR 2023: 1786-1790 - [i17]Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu:
An Online Algorithm for Chance Constrained Resource Allocation. CoRR abs/2303.03254 (2023) - [i16]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 abs/2304.01559 (2023) - [i15]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 abs/2306.10675 (2023) - [i14]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 abs/2307.16246 (2023) - [i13]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 abs/2310.15492 (2023) - 2022
- [j3]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): 27-41 (2022) - [j2]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): 846-865 (2022) - [j1]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): 3060-3078 (2022) - [c13]Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. ICML 2022: 26116-26134 - [c12]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: 4143-4152 - [c11]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: 2272-2276 - [i12]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 abs/2202.10937 (2022) - [i11]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 abs/2208.07632 (2022) - [i10]Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CoRR abs/2208.08681 (2022) - [i9]Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu, Haoyuan Hu:
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction. CoRR abs/2211.12105 (2022) - 2021
- [c10]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: 3123-3129 - [i8]Hao Zeng, Yangdong Liu, Dandan Zhang, Kunpeng Han, Haoyuan Hu:
A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment. CoRR abs/2109.03467 (2021) - [i7]Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yang Yu:
Online Allocation with Two-sided Resource Constraints. CoRR abs/2112.13964 (2021) - 2020
- [c9]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: 2077-2079 - [c8]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: 1743-1751 - [c7]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: 324-331 - [c6]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: 1-9 - [c5]Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu:
Balanced Order Batching with Task-Oriented Graph Clustering. KDD 2020: 3044-3053 - [c4]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: 3054-3063 - [i6]Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu:
Balanced Order Batching with Task-Oriented Graph Clustering. CoRR abs/2008.09018 (2020)
2010 – 2019
- 2019
- [c3]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: 1386-1394 - [c2]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: 1395-1403 - [c1]Zaiyi Chen, Yi Xu, Haoyuan Hu, Tianbao Yang:
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number. ICML 2019: 1102-1111 - [i5]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 abs/1903.02716 (2019) - 2018
- [i4]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 abs/1804.06896 (2018) - [i3]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 abs/1812.02565 (2018) - [i2]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 abs/1812.07611 (2018) - 2017
- [i1]Haoyuan Hu, Xiaodong Zhang, Xiaowei Yan, Longfei Wang, Yinghui Xu:
Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method. CoRR abs/1708.05930 (2017)
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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