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- Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, Jinwen Ma
- SIGIR
- 2004

Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't generate clusters with highly readable names. In this paper, we reformalize the clustering problem as a salient phrase ranking problem. Given a query and the ranked list of documents… (More)

- Fuhai Li, Xiaobo Zhou, Jinwen Ma, Stephen T. C. Wong
- IEEE Trans. Med. Imaging
- 2010

Automated cell segmentation and tracking are critical for quantitative analysis of cell cycle behavior using time-lapse fluorescence microscopy. However, the complex, dynamic cell cycle behavior poses new challenges to the existing image segmentation and tracking methods. This paper presents a fully automated tracking method for quantitative cell cycle… (More)

- Jinwen Ma, Taijun Wang
- IEEE transactions on systems, man, and…
- 2006

Rival penalized competitive learning (RPCL) has been shown to be a useful tool for clustering on a set of sample data in which the number of clusters is unknown. However, the RPCL algorithm was proposed heuristically and is still in lack of a mathematical theory to describe its convergence behavior. In order to solve the convergence problem, we investigate… (More)

- Yongsheng Dong, Jinwen Ma
- IEEE Signal Processing Letters
- 2011

In this letter, we propose an efficient one-nearest-neighbor classifier of texture via the contrast of local energy histograms of all the wavelet subbands between an input texture patch and each sample texture patch in a given training set. In particular, the contrast is realized with a discrepancy measure which is just a sum of symmetrized Kullback-Leibler… (More)

- Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
- KDD
- 2004

Finding informative genes from microarray data is an important research problem in bioinformatics research and applications. Most of the existing methods rank features according to their discriminative capability and then find a subset of discriminative genes (usually top k genes). In particular, t-statistic criterion and its variants have been adopted… (More)

- Jinwen Ma, Lei Xu, Michael I. Jordan
- Neural Computation
- 2001

It is well known that the convergence rate of the expectation-maximization (EM) algorithm can be faster than those of convention rst-order iterative algorithms when the overlap in the given mixture is small. But this argument has not been mathematically proved yet. This article studies this problem asymptotically in the setting of gaussian mixtures under… (More)

- Lei Huang, Fuhai Li, +4 authors Stephen T. C. Wong
- Bioinformatics
- 2014

MOTIVATION
Currently there are no curative anticancer drugs, and drug resistance is often acquired after drug treatment. One of the reasons is that cancers are complex diseases, regulated by multiple signaling pathways and cross talks among the pathways. It is expected that drug combinations can reduce drug resistance and improve patients' outcomes. In… (More)

- Chenglin Liu, Jing Su, Fei Yang, Kun Wei, Jinwen Ma, Xiaobo Zhou
- Molecular bioSystems
- 2015

The Library of Integrated Network-based Cellular Signatures (LINCS) L1000 big data provide gene expression profiles induced by over 10 000 compounds, shRNAs, and kinase inhibitors using the L1000 platform. We developed csNMF, a systematic compound signature discovery pipeline covering from raw L1000 data processing to drug screening and mechanism… (More)

- Fuhai Li, Jinwen Ma, Dezhi Huang
- CIS
- 2005