activity
20112022
most citedCLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets

68 citations · 223 across the 25 of their papers we have counts for

collaborators

26 papers

cs.CV2022

R2P: A Deep Learning Model from mmWave Radar to Point Cloud

Yue Sun, Honggang Zhang, Zhuoming Huang +1

Recent research has shown the effectiveness of mmWave radar sensing for object detection in low visibility environments, which makes it an ideal technique in autonomous navigation…

q-fin.ST2022

Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements

Jia Wang, Hongwei Zhu, Jiancheng Shen +2

It is a challenging task to predict financial markets. The complexity of this task is mainly due to the interaction between financial markets and market participants, who are not a…

cs.AI2022★ 3 cited

A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment

Xizhe Wang, Ning Zhang, Jia Wang +6

In Vitro Fertilization (IVF) is the most widely used Assisted Reproductive Technology (ART). IVF usually involves controlled ovarian stimulation, oocyte retrieval, fertilization in…

eess.IV2021★ 6 cited

DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar

Yue Sun, Honggang Zhang, Zhuoming Huang +1

Recent research has shown that mmWave radar sensing is effective for object detection in low visibility environments, which makes it an ideal technique in autonomous navigation sys…

q-fin.ST2021★ 68 cited

CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets

Jia Wang, Tong Sun, Benyuan Liu +2

Financial markets are a complex dynamical system. The complexity comes from the interaction between a market and its participants, in other words, the integrated outcome of activit…

q-fin.ST2021★ 66 cited

Financial Markets Prediction with Deep Learning

Jia Wang, Tong Sun, Benyuan Liu +2

Financial markets are difficult to predict due to its complex systems dynamics. Although there have been some recent studies that use machine learning techniques for financial mark…