Yile Liang

30 papers A* 8A 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning.
AAAI
Shenghong He, Chao Yu, Qian Lin, Yile Liang, Donghui Li, Xuetao Ding
2025 A* conf
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization.
AAAI
Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding
2024 A* conf
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.
KDD
Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He
2024 J jnl
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.
CoRR
Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He
2024 J jnl
Meituan's Real-Time Intelligent Dispatching Algorithms Build the World's Largest Minute-Level Delivery Network.
INFORMS J. Appl. Anal.
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
2024 J jnl
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization.
CoRR
Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding
2024 J jnl
Order Dispatching Via GNN-Based Optimization Algorithm for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst.
Jingfang Chen, Ling Wang, Yile Liang, Yang Yu, Jie Feng, Jiuxia Zhao, Xuetao Ding
2023 J jnl
A Predictive-Reactive Optimization Framework With Feedback-Based Knowledge Distillation for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst.
Jie Zheng, Ling Wang, Jingfang Chen, Zi-Xiao Pan, Donghui Li, Yile Liang, Xuetao Ding
2023 A* conf
Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract.
ICDE
Tieyun Qian, Yile Liang, Qing Li, Hui Xiong
2023 A conf
Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions.
CIKM
Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao, Renqing He
2023 J jnl
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation.
IEEE Trans. Knowl. Data Eng.
Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng
2023 A* conf
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System.
SIGIR
Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan
2022 J jnl
Attribute Graph Neural Networks for Strict Cold Start Recommendation.
IEEE Trans. Knowl. Data Eng.
Tieyun Qian, Yile Liang, Qing Li, Hui Xiong
2022 J jnl
Dynamic multi-objective balancing for online food delivery via fuzzy logic system-based supply-demand relationship identification.
Comput. Ind. Eng.
Jie Zheng, Ling Wang, Jingfang Chen, Xing Wang, Yile Liang, Haining Duan, Zixuan Li, Xuetao Ding
2022 — conf
Enhancing Graph Convolution Network for Novel Recommendation.
DASFAA (2)
Xuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, Mi Zhang
2022 A* conf
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.
SIGIR
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
2022 J jnl
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.
CoRR
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
2022 J jnl
Modeling stochastic service time for complex on-demand food delivery.
Complex Intell. Syst.
Jie Zheng, Ling Wang, Shengyao Wang, Jingfang Chen, Xing Wang, Haining Duan, Yile Liang, Xuetao Ding
2021 A* conf
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.
SIGIR
Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin
2021 J jnl
Intent Disentanglement and Feature Self-supervision for Novel Recommendation.
CoRR
Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng
2021 J jnl
Recommending Accurate and Diverse Items Using Bilateral Branch Network.
CoRR
Yile Liang, Tieyun Qian
2020 J jnl
AGTR: Adversarial Generation of Target Review for Rating Prediction.
Data Sci. Eng.
Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu
2020 J jnl
ARTAN: Align reviews with topics in attention network for rating prediction.
Neurocomputing
Yile Liang, Tieyun Qian, Huilin Yu
2020 — conf
Adversarial Generation of Target Review for Rating Prediction.
DASFAA (2)
Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu
2020 J jnl
Data-Driven Wind Generation Admissibility Assessment of Integrated Electric-Heat Systems: A Dynamic Convex Hull-Based Approach.
IEEE Trans. Smart Grid
Cheng Wang, Zhihao Gong, Yile Liang, Wei Wei, Tianshu Bi
2020 A* conf
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation.
AAAI
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin
2019 J jnl
A Generalized Nash Equilibrium Approach for Autonomous Energy Management of Residential Energy Hubs.
IEEE Trans. Ind. Informatics
Yile Liang, Wei Wei, Cheng Wang
2019 — conf
Align Reviews with Topics in Attention Network for Rating Prediction.
DASFAA (3)
Yile Liang, Tieyun Qian, Huilin Yu
2019 J jnl
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks.
CoRR
Tieyun Qian, Yile Liang, Qing Li
2018 J jnl
Distributed Real-Time Economic Dispatch in Smart Grids: A State-Based Potential Game Approach.
IEEE Trans. Smart Grid
Yile Liang, Feng Liu, Shengwei Mei