Search Results for author: Hang Yuan

Found 9 papers, 1 papers with code

YNU-HPCC at EmoInt-2017: Using a CNN-LSTM Model for Sentiment Intensity Prediction

no code implementations WS 2017 You Zhang, Hang Yuan, Jin Wang, Xue-jie Zhang

In this paper, we present a system that uses a convolutional neural network with long short-term memory (CNN-LSTM) model to complete the task.

Sentiment Analysis

Hybrid Beamforming for Terahertz Multi-Carrier Systems over Frequency Selective Fading

no code implementations14 Oct 2019 Hang Yuan, Nan Yang, Kai Yang, Chong Han, Jianping An

We consider a three-dimensional wideband THz channel by incorporating the joint effect of molecular absorption, high sparsity, and multi-path fading, and consider the carrier frequency offset in multi-carrier systems.

Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment

no code implementations31 Jul 2023 Saizhuo Wang, Hang Yuan, Leon Zhou, Lionel M. Ni, Heung-Yeung Shum, Jian Guo

One of the most important tasks in quantitative investment research is mining new alphas (effective trading signals or factors).

Prompt Engineering

QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

no code implementations6 Feb 2024 Saizhuo Wang, Hang Yuan, Lionel M. Ni, Jian Guo

Autonomous agents based on Large Language Models (LLMs) that devise plans and tackle real-world challenges have gained prominence. However, tailoring these agents for specialized domains like quantitative investment remains a formidable task.

Language Modelling Large Language Model

Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment

no code implementations15 Feb 2024 Hang Yuan, Saizhuo Wang, Jian Guo

Recently, we introduced a new paradigm for alpha mining in the realm of quantitative investment, developing a new interactive alpha mining system framework, Alpha-GPT.

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