213 citations · 240 across the 9 of their papers we have counts for
9 papers
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing
Yanjie Li, Liping Zhang, Min Wu +6
Mathematical formulas serve as a language through which humans communicate with nature. Discovering mathematical laws from scientific data to describe natural phenomena has been a…
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
Songsong Tian, Lusi Li, Weijun Li +3
Few-Shot Class-Incremental Learning (FSCIL) aims to enable deep neural networks to learn new tasks incrementally from a small number of labeled samples without forgetting previousl…
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook
Huang Zhang, Changshuo Wang, Shengwei Tian +4
In recent years, point cloud representation has become one of the research hotspots in the field of computer vision, and has been widely used in many fields, such as autonomous dri…
A Survey on Few-Shot Class-Incremental Learning
Songsong Tian, Lusi Li, Weijun Li +3
Large deep learning models are impressive, but they struggle when real-time data is not available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for dee…
Learning Continuous Face Representation with Explicit Functions
Liping Zhang, Weijun Li, Linjun Sun +5
How to represent a face pattern? While it is presented in a continuous way in our visual system, computers often store and process the face image in a discrete manner with 2D array…
Costly Features Classification using Monte Carlo Tree Search
Ziheng Chen, Jin Huang, Hongshik Ahn +1
We consider the problem of costly feature classification, where we sequentially select the subset of features to make a balance between the classification error and the feature cos…