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20212026
most citedDual Representation Learning for One-Step Clustering of Multi-View Data

2 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CE2026

Do in-silico metrics filter designed enzymes for catalysis?

Ziqi Zhang, Wei Zhang, Zhaohong Deng

Computational metrics are widely used to prioritize enzyme designs for experimental testing, yet their ability to capture catalytic function remains poorly established. Here, we sy…

cs.LG2025

Modeling enzyme temperature stability from sequence segment perspective

Ziqi Zhang, Shiheng Chen, Runze Yang +10

Developing enzymes with desired thermal properties is crucial for a wide range of industrial and research applications, and determining temperature stability is an essential step i…

cs.LG2025

Fuzzy Rule-based Differentiable Representation Learning

Wei Zhang, Zhaohong Deng, Guanjin Wang +1

Representation learning has emerged as a crucial focus in machine and deep learning, involving the extraction of meaningful and useful features and patterns from the input data, th…

cs.AI2024

Generative Fuzzy System for Sequence Generation

Hailong Yang, Zhaohong Deng, Wei Zhang +3

Generative Models (GMs), particularly Large Language Models (LLMs), have garnered significant attention in machine learning and artificial intelligence for their ability to generat…

cs.AI2023

Multi-view Fuzzy Representation Learning with Rules based Model

Wei Zhang, Zhaohong Deng, Te Zhang +2

Unsupervised multi-view representation learning has been extensively studied for mining multi-view data. However, some critical challenges remain. On the one hand, the existing met…

cs.LG2022★ 2 cited

Dual Representation Learning for One-Step Clustering of Multi-View Data

Wei Zhang, Zhaohong Deng, Kup-Sze Choi +2

Multi-view data are commonly encountered in data mining applications. Effective extraction of information from multi-view data requires specific design of clustering methods to cat…

cs.LG2021

TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification

Wei Zhang, Zhaohong Deng, Qiongdan Lou +3

Data collected by multiple methods or from multiple sources is called multi-view data. To make full use of the multi-view data, multi-view learning plays an increasingly important…