@inproceedings{han_liu_tuck_2010, title={Speculative parallelization of partial reduction variables}, DOI={10.1145/1772954.1772975}, abstractNote={Reduction variables are an important class of cross-thread dependence that can be parallelized by exploiting the associativity and commutativity of their operation. In this paper, we define a class of shared variables called partial reduction variables (PRV). These variables either cannot be proven to be reductions or they violate the requirements of a reduction variable in some way.}, booktitle={International Symposium on Code Generation and Optimization}, author={Han, L. A. and Liu, W. and Tuck, J. M.}, year={2010}, pages={141–150} }
 @article{jin_liu_scordilis_han_2010, title={Speech Enhancement Using Harmonic Emphasis and Adaptive Comb Filtering}, volume={18}, ISSN={["1558-7924"]}, DOI={10.1109/TASL.2009.2028916}, abstractNote={An enhancement method for single-channel speech degraded by additive noise is proposed. A spectral weighting function is derived by constrained optimization to suppress noise in the frequency domain. Two design parameters are included in the suppression gain, namely, the frequency-dependent noise-flooring parameter (FDNFP) and the gain factor. The FDNFP controls the level of admissible residual noise in the enhanced speech. Enhanced harmonic structures are incorporated into the FDNFP by time-domain processing of the linear prediction residuals of voiced speech. Further enhancement of the harmonics is achieved by adaptive comb filtering derived using the gain factor with a peak-picking algorithm. The performance of the enhancement method was evaluated by the modified bark spectral distance (MBSD), ITU-Perceptual Evaluation of Speech Quality (PESQ) scores, composite objective measures and listening tests. Experimental results indicate that the proposed method outperforms spectral subtraction; a main signal subspace method applicable to both white and colored noise conditions and a perceptually based enhancement method with a constant noise-flooring parameter, particularly at lower signal-to-noise ratio conditions. Our listening test indicated that 16 listeners on average preferred the proposed approach over any of the other three approaches about 73% of the time.}, number={2}, journal={IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING}, author={Jin, Wen and Liu, Xin and Scordilis, Michael S. and Han, Lu}, year={2010}, month={Feb}, pages={356–368} }