Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method. - Haoyuan Hu; Xiaodong Zhang; Xiaowei Yan; Longfei Wang; Yinghui Xu (CoRR, 2017)

A Multi-task Selected Learning Approach for Solving New Type 3D Bin Packing Problem. - Haoyuan Hu; Lu Duan; Xiaodong Zhang; Yinghui Xu; Jiangwen Wei (CoRR, 2018)

A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System. - Xinhang Zhang; Haoyuan Hu; Longfei Wang; Zhijun Sun; Ying Zhang; Kunpeng Han; Yinghui Xu (CoRR, 2018)

GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming. - Yiheng Zhu 004; Yichen Yao; Zili Wu; Yujie Chen; Guozheng Li; Haoyuan Hu; Yinghui Xu (CoRR, 2018)

Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - Yujie Chen; Yu Qian; Yichen Yao; Zili Wu; Rongqi Li; Yinzhi Zhou; Haoyuan Hu; Yinghui Xu (AAMAS, 2019)

A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem. - Lu Duan; Haoyuan Hu; Yu Qian; Yu Gong; Xiaodong Zhang; Jiangwen Wei; Yinghui Xu (AAMAS, 2019)

Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number. - Zaiyi Chen; Yi Xu 008; Haoyuan Hu; Tianbao Yang (ICML, 2019)

Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System. - Yujie Chen; Yu Qian; Yichen Yao; Zili Wu; Rongqi Li; Yinzhi Zhou; Haoyuan Hu; Yinghui Xu (CoRR, 2019)

Learning to Cooperate: Application of Deep Reinforcement Learning for Online AGV Path Finding. - Yi Zhang; Yu Qian; Yichen Yao; Haoyuan Hu; Yinghui Xu (AAMAS, 2020)

LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction. - Yichen Yao; Guozheng Li; Yujie Chen; Rongqi Li; Yinzhi Zhou; Xiaodong Zhang; Haoyuan Hu; Yinghui Xu (CIKM, 2020)

Balancing Exploration and Exploitation in the Memetic Algorithm via a Switching Mechanism for the Large-Scale VRPTW. - Ying Zhang; Dandan Zhang; Longfei Wang; Zhu He; Haoyuan Hu (DASFAA (1), 2020)

A Self-Adaptive Bluetooth Indoor Localization System using LSTM-based Distance Estimator. - Zhuo Li 003; Jiannong Cao 001; Xiulong Liu; Jiuwu Zhang; Haoyuan Hu; Didi Yao (ICCCN, 2020)

Balanced Order Batching with Task-Oriented Graph Clustering. - Lu Duan; Haoyuan Hu; Zili Wu; Guozheng Li; Xinhang Zhang; Yu Gong; Yinghui Xu (KDD, 2020)

Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach. - Lu Duan; Yang Zhan; Haoyuan Hu; Yu Gong; Jiangwen Wei; Xiaodong Zhang; Yinghui Xu (KDD, 2020)

Multipartite-Graph Representation for Transportation Planning in Express Delivery Network. - Zhiqi Chang; Jian-Ya Ding; Chao Zhang; Fan Dong; Haoyuan Hu; Tao Yao; Ling Wang 001 (CDC, 2021)

A Deep Reinforcement Learning Approach for Constrained Online Logistics Route Assignment. - Hao Zeng; Yangdong Liu; Dandan Zhang; Kunpeng Han; Haoyuan Hu (CoRR, 2021)

Online Allocation with Two-sided Resource Constraints. - Qixin Zhang 001; Wenbing Ye; Zaiyi Chen; Haoyuan Hu; Enhong Chen; Yang Yu 001 (CoRR, 2021)

Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. - Qixin Zhang 001; Zengde Deng; Zaiyi Chen; Haoyuan Hu; Yu Yang 001 (ICML, 2022)

Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. - Haomin Wen; Youfang Lin; Xiaowei Mao; Fan Wu; Yiji Zhao; Haochen Wang; Jianbin Zheng 003; Lixia Wu; Haoyuan Hu; Huaiyu Wan (KDD, 2022)

CTnoCVR: A Novelty Auxiliary Task Making the Lower-CTR-Higher-CVR Upper. - Dandan Zhang; Haotian Wu 005; Guanqi Zeng; Yao Yang; Weijiang Qiu; Yujie Chen; Haoyuan Hu (SIGIR, 2022)

An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems. - Jinlei Zhang; Ergang Shan; Lixia Wu; Lixing Yang; Ziyou Gao; Haoyuan Hu (CoRR, 2022)

Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback. - Qixin Zhang 001; Zengde Deng; Zaiyi Chen; Kuangqi Zhou; Haoyuan Hu; Yu Yang 001 (CoRR, 2022)

AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction. - Jinyun Li; Huiwen Zheng; Yuanlin Liu; Minfang Lu; Lixia Wu; Haoyuan Hu (CoRR, 2022)

Alibaba Vehicle Routing Algorithms Enable Rapid Pick and Delivery. - Haoyuan Hu; Ying Zhang; Jiangwen Wei; Yang Zhan; Xinhui Zhang; Shaojian Huang; Guangrui Ma; Yuming Deng; Siwei Jiang (INFORMS J. Appl. Anal., 2022)

Predicting Human Discretion to Adjust Algorithmic Prescription: A Large-Scale Field Experiment in Warehouse Operations. - Jiankun Sun; Dennis J. Zhang; Haoyuan Hu; Jan A. Van Mieghem (Manag. Sci., 2022)

The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Productivity: Evidence from Field Experiments. - Bing Bai; Hengchen Dai; Dennis J. Zhang; Fuqiang Zhang; Haoyuan Hu (Manuf. Serv. Oper. Manag., 2022)

GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. - Xiaowei Mao; Huaiyu Wan; Haomin Wen; Fan Wu; Jianbin Zheng 003; Yuting Qiang; Shengnan Guo 001; Lixia Wu; Haoyuan Hu; Youfang Lin (AAAI, 2023)

Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback. - Qixin Zhang 001; Zengde Deng; Zaiyi Chen; Kuangqi Zhou; Haoyuan Hu; Yu Yang 001 (AISTATS, 2023)

A Deep Reinforcement Learning Approach for Online Parcel Assignment. - Hao Zeng; Qiong Wu 005; Kunpeng Han; Junying He; Haoyuan Hu (AAMAS, 2023)

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. - Qixin Zhang 001; Zengde Deng; Xiangru Jian; Zaiyi Chen; Haoyuan Hu; Yu Yang 001 (CIKM, 2023)

Intelligent Manufacturing Collaboration Platform for 3D Curved Plates Based on Graph Matching. - Yanjun Dong; Haoyuan Hu; Min Zhu; Pan Hu 001; Lihong Jiang; Hongming Cai 001 (CSCWD, 2023)

An Online Algorithm for Chance Constrained Resource Allocation. - Yuwei Chen; Zengde Deng; Yinzhi Zhou; Zaiyi Chen; Yujie Chen; Haoyuan Hu (ICASSP, 2023)

M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. - Tianyue Cai; Huaiyu Wan; Fan Wu; Haomin Wen; Shengnan Guo 001; Lixia Wu; Haoyuan Hu; Youfang Lin (ICDE, 2023)

Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. - Yuting Qiang; Haomin Wen; Lixia Wu; Xiaowei Mao; Fan Wu; Huaiyu Wan; Haoyuan Hu (ICDE, 2023)

Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests. - Qixin Zhang 001; Wenbing Ye; Zaiyi Chen; Haoyuan Hu; Enhong Chen; Yu Yang 001 (ICML, 2023)

DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. - Xiaowei Mao; Haomin Wen; Hengrui Zhang; Huaiyu Wan; Lixia Wu; Jianbin Zheng 003; Haoyuan Hu; Youfang Lin (KDD, 2023)

OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment. - Yiheng Zhu 004; Yang Zhan; Xuankun Huang; Yuwei Chen; Yujie Chen; Jiangwen Wei; Wei Feng; Yinzhi Zhou; Haoyuan Hu; Jieping Ye (NeurIPS, 2023)

ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction. - Jinyun Li; Huiwen Zheng; Yuanlin Liu; Minfang Lu; Lixia Wu; Haoyuan Hu (SIGIR, 2023)

G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System. - Lixia Wu; Jianlin Liu; Junhong Lou; Haoyuan Hu; Jianbin Zheng 003; Haomin Wen; Chao Song; Shu He (CoRR, 2023)

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. - Lixia Wu; Haomin Wen; Haoyuan Hu; Xiaowei Mao; Yutong Xia; Ergang Shan; Jianbin Zheng 003; Junhong Lou; Yuxuan Liang; Liuqing Yang 001; Roger Zimmermann; Youfang Lin; et al. (CoRR, 2023)

Robust Representation Learning for Unified Online Top-K Recommendation. - Minfang Lu; Yuchen Jiang; Huihui Dong; Qi Li; Ziru Xu; Yuanlin Liu; Lixia Wu; Haoyuan Hu; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2023)

Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels. - Biao Yuan; Zengde Deng; Na Geng; Yujie Chen; Haoyuan Hu (INFORMS J. Appl. Anal., 2023)

Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction. - Haomin Wen; Youfang Lin; Yuxuan Hu; Fan Wu; Mingxuan Xia; Xinyi Zhang; Lixia Wu; Haoyuan Hu; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2023)

Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering. - Yuan Gao; Yiheng Zhu 004; Yuanbin Cao; Yinzhi Zhou; Zhen Wu 002; Yujie Chen; Shenglan Wu; Haoyuan Hu; Xinyu Dai (LREC/COLING, 2024)

LaDe: The First Comprehensive Last-mile Express Dataset from Industry. - Lixia Wu; Haomin Wen; Haoyuan Hu; Xiaowei Mao; Yutong Xia; Ergang Shan; Jianbin Zheng 003; Junhong Lou; Yuxuan Liang; Liuqing Yang 001; Roger Zimmermann; Youfang Lin; et al. (KDD, 2024)

Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion. - Hao Zeng; Jiaqi Wang; Avirup Das; Junying He; Kunpeng Han; Haoyuan Hu; Mingfei Sun 001 (KDD, 2024)

A Novel Hybrid Graph Learning Method for Inbound Parcel Volume Forecasting in Logistics System. - Lisha Ye; Jianfeng Zhou; Zhe Yin; Kunpeng Han; Haoyuan Hu; Dongjin Song (SDM, 2024)

Differentiation of Multi-objective Data-driven Decision Pipeline. - Peng Li; Lixia Wu; Chaoqun Feng; Haoyuan Hu; Lei Fu; Jieping Ye (CoRR, 2024)

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services. - Youfang Lin; Jinji Fu; Haomin Wen; Jiyuan Wang 001; Zhenjie Wei; Yuting Qiang; Xiaowei Mao; Lixia Wu; Haoyuan Hu; Yuxuan Liang; Huaiyu Wan (CoRR, 2024)

Smart Parcel Consolidation at Cainiao. - Yujie Chen; Biao Yuan; Yinzhi Zhou; Yuwei Chen; Haoyuan Hu (INFORMS J. Appl. Anal., 2024)

Designing Sparse Graphs for Stochastic Matching with an Application to Middle-Mile Transportation Management. - Yifan Feng; René Caldentey; Linwei Xin; Yuan Zhong; Bing Wang 017; Haoyuan Hu (Manag. Sci., 2024)

Unsupervised anomaly detection using inverse generative adversarial networks. - Feng Xiao; Jianfeng Zhou; Kunpeng Han; Haoyuan Hu; Jicong Fan 001 (Inf. Sci., 2025)

The Choice Overload Effect in Online Recommender Systems. - Xiaoyang Long; Jiankun Sun; Hengchen Dai; Dennis J. Zhang; Jianfeng Zhang; Yujie Chen; Haoyuan Hu; Binqiang Zhao (Manuf. Serv. Oper. Manag., 2025)

SENIOR: Efficient Query Selection and Preference-Guided Exploration in Preference-based Reinforcement Learning. - Hexian Ni; Tao Lu 006; Haoyuan Hu; Yinghao Cai; Shuo Wang 001 (CoRR, 2025)

StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason. - Kaiyi Zhang; Ang Lv; Jinpeng Li 003; Yongbo Wang; Feng Wang; Haoyuan Hu; Rui Yan 001 (CoRR, 2025)