activity
20082023
most citedSolving Statistical Mechanics Using Variational Autoregressive Networks

223 citations · 761 across the 54 of their papers we have counts for

collaborators

54 papers

cs.PF2023

A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads

Yikang Yang, Lei Wang, Jianfeng Zhan

During early stages of CPU design, benchmarks can only run on simulators to evaluate CPU performance. However, most big data benchmarks are too huge at code size scale, which cause…

cs.CV2023

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning

Guan Gui, Zhen Zhao, Lei Qi +3

In semi-supervised learning, unlabeled samples can be utilized through augmentation and consistency regularization. However, we observed certain samples, even undergoing strong aug…

astro-ph.IM2023

HybPSF: Hybrid PSF reconstruction for the observed JWST NIRCam image

Lin Nie, Huanyuan Shan, Guoliang Li +6

The James Webb Space Telescope (JWST) ushers in a new era of astronomical observation and discovery, offering unprecedented precision in a variety of measurements such as photometr…

cs.LG2023★ 1 cited

Towards Semi-supervised Learning with Non-random Missing Labels

Yue Duan, Zhen Zhao, Lei Qi +3

Semi-supervised learning (SSL) tackles the label missing problem by enabling the effective usage of unlabeled data. While existing SSL methods focus on the traditional setting, a p…

cs.CV2022★ 22 cited

Domain Generalization by Learning and Removing Domain-specific Features

Yu Ding, Lei Wang, Bin Liang +3

Deep Neural Networks (DNNs) suffer from domain shift when the test dataset follows a distribution different from the training dataset. Domain generalization aims to tackle this iss…

cs.CV2022

A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix

Wenbin Li, Meihao Kong, Xuesong Yang +4

In recent years, a variety of contrastive learning based unsupervised visual representation learning methods have been designed and achieved great success in many visual tasks. Gen…