Hang Li

DIRECTION-TIME TRANSMISSION FOR FAST FADING VECTOR CHANNEL (2007)

Hang Li, Guanghan Xu, Edward J. Powers

Transmit diversity and space-time coding have received a lot of attention in recent years. In this paper, we propose a direction-time transmit scheme for a fast block fading channel which exploits...

Methods in Natural Language Processing and Very Large Corpora. (2007)

Hang Li, Kenji Yamanishi, Key Words

Addressed here is the issue of topic analysis ' which is used to determine a text's topic structure, a representation indicating what topics are included in a text and how those topics...

Word Word Clustering Clustering and and Disambiguation Disambiguation Based Based on on Co Co-occurrence Co occurrence Data 1 (2007)

Hinrich Schiitze, I. Dan Melamed, Hang Li

We address the problem of clustering words (or constructing a thesaurus) based on cooccurrence data, and conducting syntactic disambiguation by using the acquired word classes. We view the clustering...

Reviewed by (2007)

Press; hardbound, ISBN 1-57586-075-9,

i-conglmicrosoft.com (2007)

Cong Li, Hang Li

hanglimicrosoft.com This paper proposes a new method for word translation disambiguation using a machine learning technique called 'Bilingual Bootstrapping'. Bilingual Bootstrapping makes...

Power and thermal integrity analysis and optimization for nanometer VLSI systems / (2007)

Chemical investigations of Natural Products from Australian Marine Sponge-Derived Fungi (2007)

Thesis (Ph. D.)--University of California, Riverside, 2007.

Feature Selection for Ranking (2007)

This thesis described the chemical investigations of natural products from Australian marine sponge-derived fungi. Sponge samples were collected from the Great Barrier Reef, Queensland, Australia, by...

Xiubo Geng, Tie-yan Liu, Tao Qin, Hang Li

Ranking is a very important topic in information retrieval. While algorithms for learning ranking models have been intensively studied, this is not the case for feature selection, despite of its...

Ranking with multiple hyperplanes (2007)

Tao Qin, Tie-yan Liu, Wei Lai, Xu-dong Zhang, De-sheng Wang, Hang Li

The central problem for many applications in Information Retrieval is ranking and learning to rank is considered as a promising approach for addressing the issue. Ranking SVM, for example, is a...

Ranking (2007)

Searching Documents Based on Relevance and Type (2007)

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Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, Yalou Huang

Abstract. This paper extends previous work on document retrieval and document type classification, addressing the problem of ‘typed search’. Specifically, given a query and a designated document...

This report represents a milestone of a work in progress. That work is a comprehensive handbook on how to produce high-quality documentation for software architectures. The handbook, tentatively entitled Documenting Software Architectures, will be publish (2007)

Tie-yan Liu, Jun Xu, Tao Qin, Wenying Xiong, Hang Li

This paper is concerned with learning to rank for information retrieval (IR). Ranking is the central problem for information retrieval, and employing machine learning techniques to learn the ranking...

� Machine Translation (2007)

Chemical investigations of Natural Products from Australian Marine Sponge-Derived Fungi (2007)

documents �d d, d �

Chemical investigations of Natural Products from Australian Marine Sponge-Derived Fungi (2007)

This thesis described the chemical investigations of natural products from Australian marine sponge-derived fungi. Sponge samples were collected from the Great Barrier Reef, Queensland, Australia, by...

Chemical investigations of Natural Products from Australian Marine Sponge-Derived Fungi (2007)

This thesis described the chemical investigations of natural products from Australian marine sponge-derived fungi. Sponge samples were collected from the Great Barrier Reef, Queensland, Australia, by...

Incorporating prior domain knowledge into a kernel based feature selection algorithm (2007)

This thesis described the chemical investigations of natural products from Australian marine sponge-derived fungi. Sponge samples were collected from the Great Barrier Reef, Queensland, Australia, by...

Yu, Ting, Stokes, Donald, ...

This paper proposes a new method of incorporating prior domain knowledge into a kernel based feature selection algorithm. The proposed feature selection algorithm combines the Fast Correlation-Based...

Chemical investigations of Natural Products from Australian Marine Sponge-Derived Fungi (2007)

Incorporating prior domain knowledge into a kernel based feature selection algorithm (2007)

This thesis described the chemical investigations of natural products from Australian marine sponge-derived fungi. Sponge samples were collected from the Great Barrier Reef, Queensland, Australia, by...

Yu, Ting, Stokes, Donald, ...

This paper proposes a new method of incorporating prior domain knowledge into a kernel based feature selection algorithm. The proposed feature selection algorithm combines the Fast Correlation-Based...

Chemical investigations of Natural Products from Australian Marine Sponge-Derived Fungi (2007)

Learning to search web pages with query-level loss functions (2006)

This thesis described the chemical investigations of natural products from Australian marine sponge-derived fungi. Sponge samples were collected from the Great Barrier Reef, Queensland, Australia, by...

Tao Qin, Tie-yan Liu, Ming-feng Tsai, Xu-dong Zhang, Hang Li

With the rapid development of information retrieval and Web search, ranking has become a new branch of supervised learning. Many existing machine learning technologies such as Support Vector...

Adapting ranking SVM to document retrieval (2006)

Yunbo Cao, Jun Xu, Tie-yan Liu, Hang Li, Yalou Huang, Hsiao-wuen Hon

The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must consider when...

Adapting ranking SVM to document retrieval (2006)

Yunbo Cao, Jun Xu, Tie-yan Liu, Hang Li, Yalou Huang, Hsiao-wuen Hon

The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must consider when...

Cost-sensitive learning of SVM for ranking (2006)

Jun Xu, Yunbo Cao, Hang Li, Yalou Huang

Abstract. In this paper, we propose a new method for learning to rank. ‘Ranking SVM ’ is a method for performing the task. It formulizes the problem as that of binary classification on instance...

Randomized Unit Testing: Tool Support and Best Practices (2006)

James H. Andrews, Susmita Haldar, Yong Lei, Felix Chun, Hang Li, Na B

Abstract: Randomization has long been used in testing, but it has not achieved widespread acceptance due to a lack of tool support and a failure to establish recognized best practices. In this paper,...

Detecting Link Spam using Temporal Information (2006)

Guoyang Shen, Bin Gao, Tie-yan Liu, Guang Feng, Shiji Song, Hang Li

How to effectively protect against spam on search ranking results is an important issue for contemporary web search engines. This paper addresses the problem of combating one major type of web spam:...

Cost-sensitive learning of SVM for ranking (2006)

Jun Xu, Yunbo Cao, Hang Li, Yalou Huang

Abstract. In this paper, we propose a new method for learning to rank. ‘Ranking SVM ’ is a method for performing the task. It formulizes the problem as that of binary classification on instance...

Efficient thermal simulation for run-time temperature tracking and management (2005)

Hang Li, Pu Liu, Zhenyu Qi, Lingling Jin, Wei Wu, ...

As power density increases exponentially, run-time regulation of operating temperature by dynamic thermal management becomes imperative. This paper proposes a novel approach to real-time thermal...

Fast thermal simulation for architecture level dynamic thermal management (2005)

Pu Liu, Zhenyu Qi, Hang Li, Lingling Jin

As power density increases exponentially, runtime regulation of operating temperature by dynamic thermal managements becomes necessary. This paper proposes a novel approach to the thermal analysis at...

Title Extraction from Bodies of HTML Documents and its Application to Web Page Retrieval (2005)

Yunhua Hu, Guomao Xin, Ruihua Song, Guoping Hu, Shuming Shi, Yunbo Cao, ...

This paper is concerned with automatic extraction of titles from the bodies of HTML documents. Titles of HTML documents should be correctly defined in the title fields; however, in reality HTML...

On-chip decoupling capacitor budgeting by sequence of linear programming (2005)

Zhenyu Qi, Hang Li, Jeffrey Fan, Yici Cai, Xianlong Hong

Excessive power supply noise increases propagation delay of switching gates and reduces noise margin of the circuit. Adding on-chip decoupling capacitors (decaps) is an effective way to reduce...

Title Extraction from Bodies of HTML Documents and its Application to Web Page Retrieval (2005)

Yunhua Hu, Guomao Xin, Ruihua Song, Guoping Hu, Shuming Shi, Yunbo Cao, ...

This paper is concerned with automatic extraction of titles from the bodies of HTML documents. Titles of HTML documents should be correctly defined in the title fields; however, in reality HTML...

Efficient method for terminal reduction of interconnect circuits considering delay variations (2005)

Pu Liu, Hang Li, Zhenyu Qi, Jun Kong, Bruce McGaughy, ...

This paper proposes a novel method to efficiently reduce the terminal number of general linear interconnect circuits with a large number of input and/or output terminals considering delay variations....

Word Translation Disambiguation Using Bilingual Bootstrapping (2004)

Hang Li, Cong Li

This article proposes a new method for word translation disambiguation, one that uses a machinelearning technique called bilingual bootstrapping. In learning to disambiguate words to be translated,...

DESIGN OF A 32 BY 32 BIT READ HEAD DEVICE FOR PAGE-ORIENTED OPTICAL MEMORY (2003)

LI, HANG

Extremely large capacity is needed in the next decade for the application of optical storage memory. To achieve higher data transfer rates page-oriented optical memories have been suggested as...

Ubiquitin carboxy-terminal hydrolase L1 binds to and stabilizes monoubiquitin in neuron (2003)

Osaka, Hitoshi, Wang, Yu-Lai, Takada, Koji, Takizawa, Shuichi, Setsuie, Rieko, Li, Hang, ...

Mammalian neuronal cells abundantly express a deubiquitylating enzyme, ubiquitin carboxy-terminal hydrolase 1 (UCH L1). Mutations in UCH L1 are linked to Parkinson's disease as well as gracile axonal...

Ubiquitin carboxy-terminal hydrolase L1 binds to and stabilizes monoubiquitin in neuron (2003)

Osaka, Hitoshi, Wang, Yu-Lai, Takada, Koji, Takizawa, Shuichi, Setsuie, Rieko, Li, Hang, ...

Mammalian neuronal cells abundantly express a deubiquitylating enzyme, ubiquitin carboxy-terminal hydrolase 1 (UCH L1). Mutations in UCH L1 are linked to Parkinson's disease as well as gracile axonal...

Ubiquitin carboxy-terminal hydrolase L1 binds to and stabilizes monoubiquitin in neuron (2003)

Osaka, Hitoshi, Wang, Yu-Lai, Takada, Koji, Takizawa, Shuichi, Setsuie, Rieko, Li, Hang, ...

Mammalian neuronal cells abundantly express a deubiquitylating enzyme, ubiquitin carboxy-terminal hydrolase 1 (UCH L1). Mutations in UCH L1 are linked to Parkinson's disease as well as gracile axonal...

Design of a 32 by 32 bit read head device for page-oriented optical memory (2002)

Design of a 32 by 32 bit read head device for page-oriented optical memory (2002)

Thesis (M.S.)--University of Cincinnati, 2002.

An empirical study on farm business' financial performance and credit worthiness / (2002)

Thesis (M.S.)--University of Cincinnati, 2002.

Design of a 32 by 32 bit read head device for page-oriented optical memory [electronic resource] / (2002)

Printout.

Li, Hang., OhioLINK Electronic Theses And Dissertations Center.

Extremely large capacity is needed in the next decade for the application of optical storage memory. To achieve higher data transfer rates page-oriented optical memories have been suggested as...

Topic analysis using a finite mixture model (2000)

Gemeinsame Optimierung der Spannungs- und Turbinenregelung von Synchrongeneratoren / (1999)

Addressed here is the issue of Ôtopic analysisÕ which is used to determine a textÕs topic structure, a representation indicating what topics are included in a text and how those topics change...

Text Classification Using ESC-based Stochastic Decision Lists (1999)

Zugl.: Berlin, Techn. Universiẗat, Diss., 1998.

Text classi®cation using ESC-based stochastic decision lists (1999)

We propose a new method of text classification using stochastic decision lists. A stochastic decision list is an ordered sequence of IF-THEN rules, and our method can be viewed as a rule-based method...

A Probabilistic Approach to Lexical Semantic Knowledge Acquisition and S tructural Disambiguation (1998)

LI, Hang

In this thesis, I address the problem of automatically acquiring lexical semantic knowledge, especially that of case frame patterns, from large corpus data and using the acquired knowledge in...

Word Clustering and Disambiguation Based on Co-occurrence Data (1998)

Development of a novel internet-based pharmacokinetic analysis program / (1998)

We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disambiguation. We view...

Software design of wireless subscriber modem / (1998)

Thesis (M.S.)--University of Cincinnati, 1998.

Word clustering and disambiguation based on co-occurrence data (1998)

Report (M.S.)--University of Texas at Austin, 1998.

A Probabilistic Approach to Lexical Semantic Knowledge Acquisition and Structural Disambiguation (1998)

We address the problem of clustering words (or con-structing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disambiguation. We view...

Hang Li, C○ Hang Li

Structural disambiguation in sentence analysis is still a central problem in natural language processing. Past researches have verified that using lexical semantic knowledge can, to a quite large...

Word clustering and disambiguation based on co-occurrence data (1998)

Generalizing case frames using a thesaurus and the MDL principle (1998)

We address the problem of clustering words (or con-structing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disambiguation. We view...

Word Clustering and Disambiguation Based on Co-occurrence Data (1998)

A new method for automatically acquiring case frame patterns from large corpora is proposed. In particular, the problem of generalizing values of a case frame slot for a verb is viewed as that of...

Document Classification Using a Finite Mixture Model (1997)

We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disambiguation. We view...

Li, Hang, Yamanishi, Kenji

We propose a new method of classifying documents into categories. The simple method of conducting hypothesis testing over word-based distributions in categories suffers from the data sparseness...

Document classification using a finite mixture model (1997)

A Probabilistic Disambiguation Method Based on Psycholinguistic Principles (1996)

We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of classifying documents...

Learning Word Association Norms Using Tree Cut Pair Models (1996)

We address the problem of structural disambiguation in syntactic parsing. In psycholinguistics, a number of principles of disambiguation have been proposed, notably the Lexical Preference Rule (LPR),...

Abe, Naoki, Li, Hang

We consider the problem of learning co-occurrence information between two word categories, or more in general between two discrete random variables taking values in a hierarchically classified...

Learning Dependencies between Case Frame Slots (1996)

Clustering Words with the MDL Principle (1996)

We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we propose a method of learning dependencies between case frame...

Clustering words with the MDL principle (1996)

We address the problem of automatically constructing a thesaurus (hierarchically clustering words) based on corpus data. We view the problem of clustering words as that of estimating a joint...

A probabilistic disambiguation method based on psycholinguistic principles (1996)

We address the probhml of automaticMly constructing a thesaurus by clustering words based on corpus data. We view this problem as that of estimating a joint distribution over the (:artesian product...

Learning dependencies between case frame slots (1996)

We address the problem of structural disambiguation in syntactic parsing. In psycholinguistics, a number of principles of disambiguation have been proposed, notably the Lexical Preference Rule (LPR),...

On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms (1995)

We address the problem of automati-cally acquiring case frame patterns (se-lectional patterns) from large corpus data. In particular, we l)ropose a method of learning dependencies between case frame...

Abe, Naoki, Li, Hang, Nakamura, Atsuyoshi

We consider the problem of learning a certain type of lexical semantic knowledge that can be expressed as a binary relation between words, such as the so-called sub-categorization of verbs (a...

Generalizing Case Frames Using a Thesaurus and the MDL Principle (1995)

On-line Learning of Binary Relations and Its Application (1995)

We address the problem of automatically acquiring case-frame patterns from large corpus data. In particular, we view this problem as the problem of estimating a (conditional) distribution over a...

Naoki Abe, Atsuyoshi Nakamura, Hang Li

We consider the on-line learning problem for binary relations defined over two finite sets, each clustered into a relatively small number k; l of `types' (such a relation is termed a (k;...

Evaluation of Pseudo Vector Processor based on Slide-Windowed Registers (1994)

Hiroshi Nakamura, Kisaburo NAKAZAWA, Hang LI, Hiromitsu IMORI, Taisuke BOKU, Ikuo NAKATA, ...

We present a new scalar processor for high-speed vector processing and its evaluation. The proposed processor can hide long main memory access latency by introducing slide-windowed floating-point...

Improving performance of speech recognition using time-delay neural networks /--by Hang Li. (1993)

Hydrogen behavior in arc welding--[microform]. (1991)

Thesis (M.S.E.E.)--University of Washington, 1993.

Hydrogen behavior in arc welding. (1990)

University Microfilms order no. UMI00298591.

Word Clustering and Disambiguation Based on Co-occurrence Data

Thesis (Ph. D.)--University of Toronto, 1990.

The Chinese in (1988)

Hang Li, Yunbo Cao, Cong Li

The traditional problem that exists from the time of Tower of Babel becomes more serious in the internet era. That is how we read and write foreign languages. Figure 1 shows an estimate of the...

Generalizing Case Frames Using a Thesaurus and the MDL Principle

Document Classification Using a Finite Mixture Model

Document Classification Using a Finite Mixture Model

Learning Dependencies between Case Frame Slots