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Start Over Author "Hui Han" Publication Type Reports
3 results on '"Hui Han"'

1. An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering

Author

Chin, Hui Han and Liang, Paul Pu

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Data Structures and Algorithms, Statistics - Machine Learning
Abstract

The power of randomized algorithms in numerical methods have led to fast solutions which use the Singular Value Decomposition (SVD) as a core routine. However, given the large data size of modern and the modest runtime of SVD, most practical algorithms would require some form of approximation, such as sketching, when running SVD. While these approximation methods satisfy many theoretical guarantees, we provide the first algorithmic implementations for sketch-and-solve SVD problems on real-world, large-scale datasets. We provide a comprehensive empirical evaluation of these algorithms and provide guidelines on how to ensure accurate deployment to real-world data. As an application of sketched SVD, we present Sketched Leverage Score Ordering, a technique for determining the ordering of data in the training of neural networks. Our technique is based on the distributed computation of leverage scores using random projections. These computed leverage scores provide a flexible and efficient method to determine the optimal ordering of training data without manual intervention or annotations. We present empirical results on an extensive set of experiments across image classification, language sentiment analysis, and multi-modal sentiment analysis. Our method is faster compared to standard randomized projection algorithms and shows improvements in convergence and results., Comment: ACML 2018

Published
2018

2. Runtime Guarantees for Regression Problems

Author

Chin, Hui Han, Madry, Aleksander, Miller, Gary, and Peng, Richard

Subjects
Computer Science - Data Structures and Algorithms, Computer Science - Computer Vision and Pattern Recognition
Abstract

We study theoretical runtime guarantees for a class of optimization problems that occur in a wide variety of inference problems. these problems are motivated by the lasso framework and have applications in machine learning and computer vision. Our work shows a close connection between these problems and core questions in algorithmic graph theory. While this connection demonstrates the difficulties of obtaining runtime guarantees, it also suggests an approach of using techniques originally developed for graph algorithms. We then show that most of these problems can be formulated as a grouped least squares problem, and give efficient algorithms for this formulation. Our algorithms rely on routines for solving quadratic minimization problems, which in turn are equivalent to solving linear systems. Finally we present some experimental results on applying our approximation algorithm to image processing problems.

Published
2011

3. From Principles to Practice in Education for Intercultural Citizenship

Author

Byram, Michael, Golubeva, Irina, Hui, Han, Wagner, Manuela, Byram, Michael, Golubeva, Irina, Hui, Han, and Wagner, Manuela

Abstract

The contributors to this volume have collaborated to present their work on introducing competences in intercultural communication and citizenship into foreign language education. The book examines how learners and teachers think about citizenship and interculturality, and shows how teachers and researchers from primary to university education can work together across continents to develop new curricula and pedagogy. This involves the creation of a new theory of intercultural citizenship and a procedure for implementation. The book is written by teacher researchers who aim to help other teachers, and concludes with reflections on the lessons they have learnt which will help others to implement these ideas in their own practice. The book is essential reading for foreign language educators and researchers, students in pre-service teacher training, and teachers in in-service training. This book is is comprised of three sections. Section 1, The Baseline: Learners' and Teachers' Perceptions of Intercultural Citizenship, contains the following chapters: (1) Comparing Students' Perceptions of Global Citizenship in Hungary and the USA (Irina Golubeva, Manuela Wagner, and Mary E. Yakimowski); (2) Exploring Perceptions of Intercultural Citizenship among English Learners in Chinese Universities (Han Hui, Song Li, Jing Hongtao, and Zhao Yuqin); and (3) Intercultural Encounters in Teacher Education--Collaboration Towards Intercultural Citizenship (Ulla Lundgren and teacher students). Section 2, Teachers Cooperating, includes the following chapters: (4) Beyond Language Barriers: Approaches to Developing Citizenship for Lower-Level Language Classes (Etsuko Yamada and Jessie Hsieh); and (5) Incorporating Environmental Action into Intercultural Dialogue: Personal and Environmental Transformation and the Development of Intercultural Communicative Competence (Stephanie Ann Houghton and Mei Lan Huang). Section 3, Learners Cooperating, includes the following chapters: (6) Green Kidz: Young Learners Engage in Intercultural Environmental Citizenship in an English Language Classroom in Argentina and Denmark (Melina Porto, Petra Daryai-Hansen, María Emilia Arcuri, and Kira Schifler); (7) Understanding Intercultural Citizenship in Korea and the USA (Catherine Peck and Manuela Wagner); (8) Mural Art and Graffiti: Developing Intercultural Citizenship in Higher Education Classes in English as a Foreign Language in Argentina and Italy (Melina Porto); (9) Language and Intercultural Citizenship Education for a Culture of Peace: The Malvinas/Falklands Project (Melina Porto and Leticia Yulita); and (10) Human Rights Education in Language Teaching (Leticia Yulita and Melina Porto). The book concludes with Reflections: Learning from the Challenges and Seeking Ways Forward (Michael Byram, Irina Golubeva, Han Hui, and Manuela Wagner).

Published
2016

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