Search Results for author: Jin Guo

Found 9 papers, 2 papers with code

Early Warning Prediction with Automatic Labeling in Epilepsy Patients

no code implementations9 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.

EEG Meta-Learning

Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks

no code implementations12 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.

Time Series

The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation

1 code implementation9 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.

Code Generation Code Search +1

Model Based Reinforcement Learning with Non-Gaussian Environment Dynamics and its Application to Portfolio Optimization

no code implementations23 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.

Algorithmic Trading Decision Making +5

Continuous Temporal Graph Networks for Event-Based Graph Data

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.

Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength

no code implementations30 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.

Decision Making Model-based Reinforcement Learning +2

Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control

no code implementations2 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

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