activity
20182023
most citedMeta Discovery: Learning to Discover Novel Classes given Very Limited Data

16 citations · 22 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator

Jing Zhao, Heliang Zheng, Chaoyue Wang +3

Classifier-free guidance is an effective sampling technique in diffusion models that has been widely adopted. The main idea is to extrapolate the model in the direction of text gui…

cs.CV2023

MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models

Jing Zhao, Heliang Zheng, Chaoyue Wang +2

The advent of open-source AI communities has produced a cornucopia of powerful text-guided diffusion models that are trained on various datasets. While few explorations have been c…

cs.LG2021★ 2 cited

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation

Haoang Chi, Feng Liu, Wenjing Yang +5

In few-shot domain adaptation (FDA), classifiers for the target domain are trained with accessible labeled data in the source domain (SD) and few labeled data in the target domain…

cs.CV2021★ 1 cited

Conditional Variational Capsule Network for Open Set Recognition

Yunrui Guo, Guglielmo Camporese, Wenjing Yang +2

In open set recognition, a classifier has to detect unknown classes that are not known at training time. In order to recognize new categories, the classifier has to project the inp…

cs.LG2021★ 16 cited

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data

Haoang Chi, Feng Liu, Bo Han +6

In novel class discovery (NCD), we are given labeled data from seen classes and unlabeled data from unseen classes, and we train clustering models for the unseen classes. However,…

cs.IR2021★ 1 cited

Network Clustering for Multi-task Learning

Dehong Gao, Wenjing Yang, Huiling Zhou +3

The Multi-Task Learning (MTL) technique has been widely studied by word-wide researchers. The majority of current MTL studies adopt the hard parameter sharing structure, where hard…

cs.IR2020

Deep Hierarchical Classification for Category Prediction in E-commerce System

Dehong Gao, Wenjing Yang, Huiling Zhou +3

In e-commerce system, category prediction is to automatically predict categories of given texts. Different from traditional classification where there are no relations between clas…

cs.AI2018★ 2 cited

An Unified Intelligence-Communication Model for Multi-Agent System Part-I: Overview

Bo Zhang, Bin Chen, Jinyu Yang +2

Motivated by Shannon's model and recent rehabilitation of self-supervised artificial intelligence having a "World Model", this paper propose an unified intelligence-communication (…