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2020 – today
- 2024
[j8]Jianqi Gao
, Yanjie Li, Xinyi Li, Kejian Yan, Ke Lin, Xinyu Wu:
A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical. Knowl. Based Syst. 283: 111121 (2024)- [j7]Qi Liu, Yanjie Li, Yuecheng Liu, Ke Lin, Jianqi Gao, Yunjiang Lou:
Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2949-2961 (2024) - [j6]Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Qi Liu, Jianqi Gao, Yanrui Jin, Liang Gong:
TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12419-12433 (2024) - [i4]Wei Guan, Jian Cao, Jianqi Gao, Haiyan Zhao, Shiyou Qian:
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models. CoRR abs/2406.15781 (2024) - [i3]Qi Liu, Jianqi Gao, Dongjie Zhu, Xizheng Pang, Pengbin Chen, Jingxiang Guo, Yanjie Li:
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective. CoRR abs/2408.13750 (2024) - 2023
- [c8]Jianqi Gao, Qi Liu, Shiyu Chen, Kejian Yan, Xinyi Li, Yanjie Li:
Multi-Agent Path Finding with Time Windows: Preliminary Results. AAMAS 2023: 2586-2588 - [i2]Jianqi Gao, Yanjie Li, Xiaoqing Yang, Mingshan Tan:
RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem. CoRR abs/2311.01728 (2023) - 2022
- [j5]Jianqi Gao, Xiangfeng Luo, Hao Wang:
Chinese causal event extraction using causality-associated graph neural network. Concurr. Comput. Pract. Exp. 34(3) (2022) - [j4]Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao:
Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j3]Jianqi Gao, Hang Yu, Shuang Zhang:
Joint event causality extraction using dual-channel enhanced neural network. Knowl. Based Syst. 258: 109935 (2022) - [c7]Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo:
IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction. ICANN (2) 2022: 519-531 - [c6]Zhaohui Ye, Yanjie Li, Ronghao Guo, Jianqi Gao, Wen Fu:
Multi-agent Pathfinding with Communication Reinforcement Learning and Deadlock Detection. ICIRA (1) 2022: 493-504 - 2021
- [j2]Jianqi Gao, Xiangfeng Luo, Hao Wang:
An uncertain future: Predicting events using conditional event evolutionary graph. Concurr. Comput. Pract. Exp. 33(9) (2021) - [j1]Kai Xu, Peng Wang, Xue Chen, Xiangfeng Luo, Jianqi Gao:
Causal event extraction using causal event element-oriented neural network. Int. J. Comput. Sci. Eng. 24(6): 621-628 (2021) - [c5]Yunhong Xu, Yanjie Li, Qi Liu, Jianqi Gao, Yuecheng Liu, Meiling Chen:
Multi-agent Pathfinding with Local and Global Guidance. ICNSC 2021: 1-7 - [c4]Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang:
Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. ICTAI 2021: 619-623 - [c3]Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao:
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. PAKDD (1) 2021: 346-357 - [c2]Shaohua Lv, Yanjie Li, Qi Liu, Jianqi Gao, Xizheng Pang, Meiling Chen:
A Deep Safe Reinforcement Learning Approach for Mapless Navigation. ROBIO 2021: 1520-1525 - [i1]Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao:
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. CoRR abs/2102.09923 (2021) - 2020
- [c1]Xinmiao Pei, Hao Wang, Xiangfeng Luo, Jianqi Gao:
Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network. ICONIP (4) 2020: 701-708
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