Yile Liang

According to our database, Yile Liang authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Order Dispatching Via GNN-Based Optimization Algorithm for On-Demand Food Delivery.

Jingfang Chen, Ling Wang, Yile Liang, Yang Yu, Jie Feng, Jiuxia Zhao, Xuetao Ding

IEEE Trans. Intell. Transp. Syst., October, 2024

Meituan's Real-Time Intelligent Dispatching Algorithms Build the World's Largest Minute-Level Delivery Network.

Yile Liang, Haocheng Luo, Haining Duan, Donghui Li, Hongsen Liao, Jie Feng, Jiuxia Zhao, Hao Ren, Xuetao Ding, Ying Cha, Qingte Zhou, Chenqi Situ, Jinghua Hao, Ke Xing, Feifan Yin, Renqing He, Yang Sun, Yueqiang Zheng, Yipeng Feng, Zhizhao Sun, Jingfang Chen, Jie Zheng, Ling Wang

INFORMS J. Appl. Anal., 2024

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization.

Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding

CoRR, 2024

Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.

Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He

CoRR, 2024

Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.

Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

A Predictive-Reactive Optimization Framework With Feedback-Based Knowledge Distillation for On-Demand Food Delivery.

Jie Zheng, Ling Wang, Jingfang Chen, Zi-Xiao Pan, Donghui Li, Yile Liang, Xuetao Ding

IEEE Trans. Intell. Transp. Syst., December, 2023

Intent Disentanglement and Feature Self-Supervision for Novel Recommendation.

Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng

IEEE Trans. Knowl. Data Eng., October, 2023

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System.

Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract.

Tieyun Qian, Yile Liang, Qing Li, Hui Xiong

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions.

Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao, Renqing He

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Attribute Graph Neural Networks for Strict Cold Start Recommendation.

Tieyun Qian, Yile Liang, Qing Li, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2022

Dynamic multi-objective balancing for online food delivery via fuzzy logic system-based supply-demand relationship identification.

Jie Zheng, Ling Wang, Jingfang Chen, Xing Wang, Yile Liang, Haining Duan, Zixuan Li, Xuetao Ding

Comput. Ind. Eng., 2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Graph Convolution Network for Novel Recommendation.

Xuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, Mi Zhang

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Intent Disentanglement and Feature Self-supervision for Novel Recommendation.

Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng

CoRR, 2021

Recommending Accurate and Diverse Items Using Bilateral Branch Network.

Yile Liang, Tieyun Qian

CoRR, 2021

Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.

Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Data-Driven Wind Generation Admissibility Assessment of Integrated Electric-Heat Systems: A Dynamic Convex Hull-Based Approach.

Cheng Wang, Zhihao Gong, Yile Liang, Wei Wei, Tianshu Bi

IEEE Trans. Smart Grid, 2020

ARTAN: Align reviews with topics in attention network for rating prediction.

Yile Liang, Tieyun Qian, Huilin Yu

Neurocomputing, 2020

AGTR: Adversarial Generation of Target Review for Rating Prediction.

Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu

Data Sci. Eng., 2020

Adversarial Generation of Target Review for Rating Prediction.

Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu

Proceedings of the Database Systems for Advanced Applications, 2020

Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation.

Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Generalized Nash Equilibrium Approach for Autonomous Energy Management of Residential Energy Hubs.

Yile Liang, Wei Wei, Cheng Wang

IEEE Trans. Ind. Informatics, 2019

Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks.

Tieyun Qian, Yile Liang, Qing Li

CoRR, 2019

Align Reviews with Topics in Attention Network for Rating Prediction.

Yile Liang, Tieyun Qian, Huilin Yu

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Distributed Real-Time Economic Dispatch in Smart Grids: A State-Based Potential Game Approach.

Yile Liang, Feng Liu, Shengwei Mei

IEEE Trans. Smart Grid, 2018