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08/17/2023
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
Market making (MM) has attracted significant attention in financial trad...
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07/31/2023
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
One of the most important tasks in quantitative investment research is m...
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07/15/2023
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph
Large language models (LLMs) have made significant strides in various ta...
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06/25/2023
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
The rapid advancement of Large Language Models (LLMs) has led to extensi...
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05/16/2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Diffusion models have gained significant attention in the realm of image...
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04/23/2023
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
Large language models (LLMs) can achieve highly effective performance on...
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12/14/2022
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
Long-form numerical reasoning in financial analysis aims to generate a r...
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10/18/2022
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
Most existing pre-trained language representation models (PLMs) are sub-...
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09/06/2022
Finger Multimodal Feature Fusion and Recognition Based on Channel Spatial Attention
Due to the instability and limitations of unimodal biometric systems, mu...
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10/25/2021
RoBin: Facilitating the Reproduction of Configuration-Related Vulnerability
Vulnerability reproduction paves a way in debugging software failures, w...
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07/22/2021
VisMCA: A Visual Analytics System for Misclassification Correction and Analysis. VAST Challenge 2020, Mini-Challenge 2 Award: Honorable Mention for Detailed Analysis of Pattern
This paper presents VisMCA, an interactive visual analytics system that ...
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03/09/2021
A model-based framework for learning transparent swarm behaviors
This paper proposes a model-based framework to automatically and efficie...
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05/21/2020
Novel Policy Seeking with Constrained Optimization
In this work, we address the problem of learning to seek novel policies ...
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10/20/2019
Bayesian Symbolic Regression
Interpretability is crucial for machine learning in many scenarios such ...
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07/09/2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
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04/18/2018
Provable Emergent Pattern Formation by a Swarm of Anonymous, Homogeneous, Non-Communicating, Reactive Robots with Limited Relative Sensing and no Global Knowledge or Positionin
In this work, we explore emergent behaviors by swarms of anonymous, homo...
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11/24/2017
Towards an executable semantics of automobile RTOS standard and its application to conformance verification
The automobile Real-Time Operating System (RTOS) is hard to design and i...
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06/24/2015
