14 Result(s)

Chapter and Conference Paper

Enhancing Adversarial Training via Reweighting Optimization Trajectory

Despite the fact that adversarial training has become the de facto method for improving the robustness of deep neural networks, it is well-known that vanilla adversarial training suffers from daunting robust o...

Tian** Huang, Shiwei Liu, Tianlong Chen… in Machine Learning and Knowledge Discovery i… (2023)

Chapter and Conference Paper

Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models

Learning to optimize (L2O) has gained increasing attention since it demonstrates a promising path to automating and accelerating the optimization of complicated problems. Unlike manually crafted classical optimiz...

Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen… in Computer Vision – ECCV 2022 (2022)

Chapter and Conference Paper

DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment

Self-supervised (SS) learning has achieved remarkable success in learning strong representation for in-domain few-shot and semi-supervised tasks. However, when transferring such representations to downstream t...

Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou… in Computer Vision – ECCV 2022 (2022)

Chapter and Conference Paper

Border Ownership, Category Selectivity and Beyond

Object segmentation is a fundamental problem for both biological and machine vision systems. Recent advances in deep learning have allowed significant progress in terms of the ability of machine vision systems...

Tianlong Chen, Xuemei Cheng, Thomas Tsao in Advances in Visual Computing (2022)

Chapter and Conference Paper

Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction

The superiority of deep learning based point cloud representations relies on large-scale labeled datasets, while the annotation of point clouds is notoriously expensive. One of the most effective solutions is ...

Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen… in Computer Vision – ECCV 2022 (2022)

Chapter and Conference Paper

HALO: Hardware-Aware Learning to Optimize

There has been an explosive demand for bringing machine learning (ML) powered intelligence into numerous Internet-of-Things (IoT) devices. However, the effectiveness of such intelligent functionality requires ...

Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang… in Computer Vision – ECCV 2020 (2020)

Chapter and Conference Paper

An Extension of Hard Switching Memristor Model

Memristor was initially introduced by Professor Leon Chua in 1971 as the fourth passive fundamental circuit element. In this chapter, we revise and extend the hard switching memristor model, that is developed ...

Wanlong Chen, **ao Yang, Frank Z. Wang in Transactions on Engineering Technologies (2015)

Chapter and Conference Paper

Tunable Discounting Mechanisms for Language Modeling

Language models are fundamental to many applications in natural language processing. Most language models are trained on training data that do not support discount parameters tuning. In this work, we present n...

Junfei Guo, Juan Liu, **anlong Chen, Qi Han… in Intelligence Science and Big Data Engineer… (2015)

Chapter and Conference Paper

Size Variation of Conodonts During the Smithian–Spathian (Early Triassic) Global Warming Event

The Early Triassic Smithian–Spathian Boundary (SSB) crisis coincided with an episode of extreme warmth. A high-resolution stratigraphic framework comprising six conodont zones is provided in the Jiarong sectio...

Yanlong Chen, Richard J. Twitchett, Haishui Jiang, Sylvain Richoz… in STRATI 2013 (2014)

Chapter and Conference Paper

Model Optimization of Artificial Neural Networks for Performance Predicting in Spot Welding of the Body Galvanized DP Steel Sheets,

This paper focused on the performance predicting problems in the spot welding of the body galvanized DP steel sheets. Artificial neural networks (ANN) were used to describe the map** relationship between wel...

**n Zhao, Yansong Zhang, Guanlong Chen in Advances in Natural Computation (2006)

Chapter and Conference Paper

Mining Correlations Between Multi-streams Based on Haar Wavelet

Mining correlation between multi-streams is a significant task. The main contributions of this paper included: (1) Proposes the equivalence model and equivalence theorems to computing correlation coefficient. ...

Anlong Chen, Changjie Tang, Changan Yuan… in Advances in Computer Science – ASIAN 2005.… (2005)

Chapter and Conference Paper

Study on Weld Quality Control of Resistance Spot Welding Using a Neuro-Fuzzy Algorithm

Resistance spot welding (RSW) is widely utilized as a joining technique for automobile industry. However, good weld quality evaluation method has not yet been developed in plant environment. It is necessary to...

Yansong Zhang, Guanlong Chen, Zhongqin Lin in Knowledge-Based Intelligent Information an… (2004)

Chapter and Conference Paper

Automated Generation of Dimension Chains for Auto-Body Dimensional Quality Evaluation

Dimensional quality evaluation is one of essential steps during auto-body early design stage. There are plenty of elements impacting on the variation propagation of assembly process. Dimension chain can addres...

Jiangqi Zhou, Guanlong Chen, **nmin Lai… in Perspectives from Europe and Asia on Engin… (2004)

Chapter and Conference Paper

On Generalizations of Injectivity

Let R be a ring. The following results are proven.

1. If R is semilocal, right Kasch and right simple-injective, then R is semiperfect, l...

Jianlong Chen, Nanqing Ding in International Symposium on Ring Theory (2001)