activity
20202023
most citedClosed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction

18 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2023

Form 10-K Itemization

Yanci Zhang, Mengjia Xia, Mingyang Li +5

Form 10-K report is a financial report disclosing the annual financial state of a public company. It is an important evidence to conduct financial analysis, i.e., asset pricing, co…

cs.CV2022★ 2 cited

Unsupervised Learning of Structured Representations via Closed-Loop Transcription

Shengbang Tong, Xili Dai, Yubei Chen +5

This paper proposes an unsupervised method for learning a unified representation that serves both discriminative and generative purposes. While most existing unsupervised learning…

cs.CV2022★ 7 cited

DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction

Jiajun Fei, Ziyu Zhu, Wenlei Liu +4

Existing permutation-invariant methods can be divided into two categories according to the aggregation scope, i.e. global aggregation and local one. Although the global aggregation…

cs.CV2022★ 2 cited

Incremental Learning of Structured Memory via Closed-Loop Transcription

Shengbang Tong, Xili Dai, Ziyang Wu +3

This work proposes a minimal computational model for learning structured memories of multiple object classes in an incremental setting. Our approach is based on establishing a clos…

cs.CV2021★ 18 cited

Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction

Xili Dai, Shengbang Tong, Mingyang Li +8

This work proposes a new computational framework for learning a structured generative model for real-world datasets. In particular, we propose to learn a closed-loop transcription…

cs.CV2020★ 4 cited

From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback

Xinru Yang, Haozhi Qi, Mingyang Li +1

Facial image retrieval plays a significant role in forensic investigations where an untrained witness tries to identify a suspect from a massive pool of images. However, due to the…