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ORCIDYile Liang
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2020 – today
- 2024
[j11]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:
Meituan's Real-Time Intelligent Dispatching Algorithms Build the World's Largest Minute-Level Delivery Network. INFORMS J. Appl. Anal. 54(1): 84-101 (2024)- [j10]Jingfang Chen, Ling Wang, Yile Liang, Yang Yu, Jie Feng, Jiuxia Zhao, Xuetao Ding:
Order Dispatching Via GNN-Based Optimization Algorithm for On-Demand Food Delivery. IEEE Trans. Intell. Transp. Syst. 25(10): 13147-13162 (2024) - [c10]Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He:
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments. KDD 2024: 5363-5374 - [i5]Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He:
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments. CoRR abs/2406.14635 (2024) - 2023
- [j9]Jie Zheng, Ling Wang, Jingfang Chen, Zi-Xiao Pan, Donghui Li, Yile Liang, Xuetao Ding:
A Predictive-Reactive Optimization Framework With Feedback-Based Knowledge Distillation for On-Demand Food Delivery. IEEE Trans. Intell. Transp. Syst. 24(12): 14841-14857 (2023) - [j8]Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng:
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 9864-9877 (2023) - [c9]Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao, Renqing He:
Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions. CIKM 2023: 4702-4708 - [c8]Tieyun Qian, Yile Liang, Qing Li, Hui Xiong:
Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. ICDE 2023: 3783-3784 - [c7]Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan:
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. SIGIR 2023: 2935-2944 - 2022
- [j7]Jie Zheng, Ling Wang, Jingfang Chen, Xing Wang, Yile Liang, Haining Duan, Zixuan Li, Xuetao Ding:
Dynamic multi-objective balancing for online food delivery via fuzzy logic system-based supply-demand relationship identification. Comput. Ind. Eng. 172(Part): 108609 (2022) - [j6]Tieyun Qian, Yile Liang, Qing Li, Hui Xiong:
Attribute Graph Neural Networks for Strict Cold Start Recommendation. IEEE Trans. Knowl. Data Eng. 34(8): 3597-3610 (2022) - [c6]Xuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, Mi Zhang:
Enhancing Graph Convolution Network for Novel Recommendation. DASFAA (2) 2022: 69-84 - [c5]Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. SIGIR 2022: 50-59 - [i4]Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. CoRR abs/2204.12326 (2022) - 2021
- [c4]Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin:
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. SIGIR 2021: 747-756 - [i3]Yile Liang, Tieyun Qian:
Recommending Accurate and Diverse Items Using Bilateral Branch Network. CoRR abs/2101.00781 (2021) - [i2]Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng:
Intent Disentanglement and Feature Self-supervision for Novel Recommendation. CoRR abs/2106.14388 (2021) - 2020
- [j5]Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu:
AGTR: Adversarial Generation of Target Review for Rating Prediction. Data Sci. Eng. 5(4): 346-359 (2020) - [j4]Yile Liang, Tieyun Qian, Huilin Yu:
ARTAN: Align reviews with topics in attention network for rating prediction. Neurocomputing 403: 337-347 (2020) - [j3]Cheng Wang, Zhihao Gong, Yile Liang, Wei Wei, Tianshu Bi:
Data-Driven Wind Generation Admissibility Assessment of Integrated Electric-Heat Systems: A Dynamic Convex Hull-Based Approach. IEEE Trans. Smart Grid 11(5): 4531-4543 (2020) - [c3]Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020: 214-221 - [c2]Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu:
Adversarial Generation of Target Review for Rating Prediction. DASFAA (2) 2020: 73-89
2010 – 2019
- 2019
- [j2]Yile Liang, Wei Wei, Cheng Wang:
A Generalized Nash Equilibrium Approach for Autonomous Energy Management of Residential Energy Hubs. IEEE Trans. Ind. Informatics 15(11): 5892-5905 (2019) - [c1]Yile Liang, Tieyun Qian, Huilin Yu:
Align Reviews with Topics in Attention Network for Rating Prediction. DASFAA (3) 2019: 249-253 - [i1]Tieyun Qian, Yile Liang, Qing Li:
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks. CoRR abs/1912.12398 (2019) - 2018
- [j1]Yile Liang, Feng Liu, Shengwei Mei:
Distributed Real-Time Economic Dispatch in Smart Grids: A State-Based Potential Game Approach. IEEE Trans. Smart Grid 9(5): 4194-4208 (2018)
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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