no code implementations • 9 Oct 2023 • Peng Zhang, Ting Gao, Jin Guo, Jinqiao Duan, Sergey Nikolenko
Early warning for epilepsy patients is crucial for their safety and well-being, in particular to prevent or minimize the severity of seizures.
no code implementations • 12 Jul 2023 • Jin Guo, Ting Gao, Yufu Lan, Peng Zhang, Sikun Yang, Jinqiao Duan
To that end, the observed randomness and spatial-correlations are captured by learning the drift and diffusion terms of the stochastic differential equation with a Gumble matrix embedding, respectively.
1 code implementation • 9 May 2023 • Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau, Anh Minh Nguyen, Khanh Nghiem, Jin Guo, Nghi D. Q. Bui
We present The Vault, a dataset of high-quality code-text pairs in multiple programming languages for training large language models to understand and generate code.
no code implementations • 2 Apr 2023 • Hung Quoc To, Nghi D. Q. Bui, Jin Guo, Tien N. Nguyen
We aim to improve this issue by proposing a simple data augmentation framework.
no code implementations • 23 Jan 2023 • Huifang Huang, Ting Gao, Pengbo Li, Jin Guo, Peng Zhang, Nan Du
With the fast development of quantitative portfolio optimization in financial engineering, lots of AI-based algorithmic trading strategies have demonstrated promising results, among which reinforcement learning begins to manifest competitive advantages.
no code implementations • NAACL (DLG4NLP) 2022 • Jin Guo, Zhen Han, Zhou Su, Jiliang Li, Volker Tresp, Yuyi Wang
Hence, we propose Continuous Temporal Graph Networks (CTGNs) to capture the continuous dynamics of temporal graph data.
no code implementations • 30 May 2022 • Huifang Huang, Ting Gao, Yi Gui, Jin Guo, Peng Zhang
Reinforcement learning (RL) is gaining attention by more and more researchers in quantitative finance as the agent-environment interaction framework is aligned with decision making process in many business problems.
2 code implementations • 17 May 2021 • Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen, Ming-Chun Hsyu, Wen-Chia Tsai, Chao-Wei Chen, Grigory Malivenko, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Zheng Shaolong, Hao Dejun, Xie Fen, Feng Zhuang, Yipeng Ma, Jingyang Peng, Tao Wang, Fenglong Song, Chih-Chung Hsu, Kwan-Lin Chen, Mei-Hsuang Wu, Vishal Chudasama, Kalpesh Prajapati, Heena Patel, Anjali Sarvaiya, Kishor Upla, Kiran Raja, Raghavendra Ramachandra, Christoph Busch, Etienne de Stoutz
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more and more attention is now being paid to ISP algorithms used to improve various perceptual aspects of mobile photos.
no code implementations • 2 Jul 2020 • Jin Guo
In this thesis, I propose a family of fully decentralized deep multi-agent reinforcement learning (MARL) algorithms to achieve high, real-time performance in network-level traffic signal control.
Multi-agent Reinforcement Learning reinforcement-learning +1