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2020 – today
- 2024
[j5]Dingyuan Shi, Bingchen Song, Yuanyuan Zhang, Haolong Yang, Ke Xu:
A Data-driven Spatiotemporal Simulator for Reinforcement Learning Methods. Proc. VLDB Endow. 17(12): 4257-4260 (2024)- [c10]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye:
Graph-constrained diffusion for End-to-End Path Planning. ICLR 2024 - [i3]Hangyu Li, Xiangxiang Chu, Dingyuan Shi:
DreamCouple: Exploring High Quality Text-to-3D Generation Via Rectified Flow. CoRR abs/2408.05008 (2024) - 2023
- [j4]Yongxin Tong
, Dingyuan Shi, Yi Xu, Weifeng Lv, Zhiwei Qin, Xiaocheng Tang:
Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale. IEEE Trans. Knowl. Data Eng. 35(10): 9812-9823 (2023) - [c9]Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu:
Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework. ICDE 2023: 869-881 - 2022
- [j3]Shuyuan Li, Yudian Ji, Dingyuan Shi, Wangdong Liao, Lipeng Zhang, Yongxin Tong, Ke Xu:
A Secure Multi-party Data Federation System. Int. J. Softw. Informatics 12(1): 107-129 (2022) - [c8]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li:
Adaptive Task Planning for Large-Scale Robotized Warehouses. ICDE 2022: 3327-3339 - [i2]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li:
Adaptive Task Planning for Large-Scale Robotized Warehouses. CoRR abs/2205.00831 (2022) - 2021
- [c7]Yansheng Wang, Yongxin Tong, Dingyuan Shi, Ke Xu:
An Efficient Approach for Cross-Silo Federated Learning to Rank. ICDE 2021: 1128-1139 - [c6]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang:
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. KDD 2021: 3549-3557 - [c5]Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye:
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. KDD 2021: 3605-3615 - [i1]Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye:
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. CoRR abs/2105.08791 (2021) - 2020
- [j2]Yongxin Tong, Yansheng Wang, Dingyuan Shi:
Federated Learning in the Lens of Crowdsourcing. IEEE Data Eng. Bull. 43(3): 26-36 (2020) - [j1]Feng Liu, Dingyuan Shi, Yunlu Xiao, Tao Zhang, Jie Sun:
Comprehensive Evaluation on Space Information Network Demonstration Platform Based on Tracking and Data Relay Satellite System. Sensors 20(18): 5437 (2020) - [c4]Yansheng Wang, Yongxin Tong, Dingyuan Shi:
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. AAAI 2020: 6283-6290 - [c3]Dingyuan Shi, Feng Liu, Tao Zhang:
Resource Allocation in Beam Hopping Communication Satellite System. IWCMC 2020: 280-284
2010 – 2019
- 2018
- [c2]Dingyuan Shi, Feng Liu, Ligang Fei, Kunkun Nie:
Comprehensive Evaluation of Space Information Network Simulation System Based on GEO Satellite. IWCMC 2018: 1420-1424 - [c1]Yunlu Xiao, Tao Zhang, Dingyuan Shi, Feng Liu:
A LEO Satellite Network Capacity Model for Topology and Routing Algorithm Analysis. IWCMC 2018: 1431-1436
Coauthor Index
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