Search Results for author: Junjie Zhao

Found 11 papers, 4 papers with code

QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE

no code implementations8 Sep 2024 Junjie Zhao, Chengxi Zhang, Min Qin, Peng Yang

The goal of alpha factor mining is to discover indicative signals of investment opportunities from the historical financial market data of assets, which can be used to predict asset returns and gain excess profits.

Interior Object Geometry via Fitted Frames

no code implementations19 Jul 2024 Stephen M. Pizer, Zhiyuan Liu, Junjie Zhao, Nicholas Tapp-Hughes, James Damon, Miaomiao Zhang, JS Marron, Jared Vicory

We describe a representation targeted for anatomic objects which is designed to enable strong locational correspondence within object populations and thus to provide powerful object statistics.

Object

Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation

no code implementations18 Apr 2024 Shunpan Liang, Junjie Zhao, Chen Li, Yu Lei

This model uses relationships in the knowledge graph to construct intents, aiming to mine the connections between users' multi-behaviors from the perspective of intents to achieve more accurate recommendations.

Contrastive Learning

Breaking the general election effect. The impact of the 2020 US presidential election on Chinese economy and counter strategies

no code implementations23 Apr 2023 Junjie Zhao

This enabled us to obtain detailed quantitative index data of the degree of influence [10][12][14].

Improved deep learning techniques in gravitational-wave data analysis

1 code implementation9 Nov 2020 Heming Xia, Lijing Shao, Junjie Zhao, Zhoujian Cao

We point out that CNN models are robust to the variation of the parameter range of the GW waveform.

Deep Learning

Deep Image Clustering with Category-Style Representation

1 code implementation ECCV 2020 Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng

In this paper, we propose a novel deep image clustering framework to learn a category-style latent representation in which the category information is disentangled from image style and can be directly used as the cluster assignment.

Clustering Deep Clustering +1

Reduced-order surrogate models for scalar-tensor gravity in the strong field and applications to binary pulsars and GW170817

1 code implementation1 Jul 2019 Junjie Zhao, Lijing Shao, Zhoujian Cao, Bo-Qiang Ma

We investigate the scalar-tensor gravity of Damour and Esposito-Far\`ese (DEF), which predicts non-trivial phenomena in the nonperturbative strong-field regime for neutron stars (NSs).

General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena High Energy Physics - Phenomenology

Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization

no code implementations30 Sep 2017 Xiangteng He, Yuxin Peng, Junjie Zhao

Therefore, we propose a weakly supervised discriminative localization approach (WSDL) for fast fine-grained image classification to address the two limitations at the same time, and its main advantages are: (1) n-pathway end-to-end discriminative localization network is designed to improve classification speed, which simultaneously localizes multiple different discriminative regions for one image to boost classification accuracy, and shares full-image convolutional features generated by region proposal network to accelerate the process of generating region proposals as well as reduce the computation of convolutional operation.

Classification Fine-Grained Image Classification +2

Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN

no code implementations25 Sep 2017 Xiangteng He, Yuxin Peng, Junjie Zhao

Existing methods generally adopt a two-stage learning framework: The first stage is to localize the discriminative regions of objects, and the second is to encode the discriminative features for training classifiers.

Classification Fine-Grained Image Classification +1

Object-Part Attention Model for Fine-grained Image Classification

1 code implementation6 Apr 2017 Yuxin Peng, Xiangteng He, Junjie Zhao

Both are jointly employed to exploit the subtle and local differences for distinguishing the subcategories.

Classification Fine-Grained Image Classification +2

Cannot find the paper you are looking for? You can Submit a new open access paper.