Re-engineering ITU-T G.722: Low delay and complexity superwideband coding at 64 kbit/s with G.722 bitstream watermarking. - Balázs Kövesi; Stéphane Ragot; Claude Lamblin; Lei Miao 004; Zexin Liu; Chen Hu (ICASSP, 2011)

G.711.1 Annex D and G.722 Annex B - New ITU-T superwideband codecs. - Lei Miao 004; Zexin Liu; Chen Hu; Vaclav Eksler; Stéphane Ragot; Claude Lamblin; Balázs Kövesi; Jongmo Sung; Masahiro Fukui; Shigeaki Sasaki; Yusuke Hiwasaki (ICASSP, 2011)

A novel frequency domain BWE with relaxed synchronization and associated BWE switching. - Lei Miao 004; Zexin Liu; Xingtao Zhang; Chen Hu; Jon Gibbs; Kihyun Choo; Eunmi Oh; Vaclav Eksler (GlobalSIP, 2015)

Enhanced AMR-WB bandwidth extension in 3GPP EVS codec. - Magdalena Kaniewska; Stéphane Ragot; Zexin Liu; Lei Miao 004; Xingtao Zhang; Jon Gibbs; Vaclav Eksler (GlobalSIP, 2015)

Low bit rate high-quality MDCT audio coding of the 3GPP EVS standard. - Srikanth Nagisetty; Zongxian Liu; Takuya Kawashima; Hiroyuki Ehara; Xuan Zhou; Bin Wang; Zexin Liu; Lei Miao 004; Jon Gibbs; Lasse Laaksonen; Venkatraman Atti; Vivek Rajendran; et al. (ICASSP, 2015)

Advances in low bitrate time-frequency coding. - Tommy Vaillancourt; Vladimir Malenovsky; Redwan Salami; Zexin Liu; Lei Miao 004; Jon Gibbs; Milan Jelinek (ICASSP, 2015)

A new data-driven band-weighting function for predicting the intelligibility of noise-suppressed speech. - Zexin Liu; Heather T. Ma; Fei Chen 011 (APSIPA, 2017)

Perceptual roles of temporal and segmentation cues in single-channel noise reduction processing. - Lei Wang 074; Zexin Liu; Fei Chen 011 (APSIPA, 2017)

A new mesh visual quality metric using saliency weighting-based pooling strategy. - Xiang Feng; Wanggen Wan; Richard Yi Da Xu; Stuart W. Perry; Song Zhu; Zexin Liu (Graph. Model., 2018)

Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations. - Lindsay C. Rupp; Zexin Liu; Jake A. Bergquist; Sumientra Rampersad; Dan White; Jess D. Tate; Dana H. Brooks; Akil Narayan 001; Rob S. MacLeod (CinC, 2020)

Adaptive Surrogate Model for Failure Probability Estimation. - Yi Qin; Yue Zhang; Zexin Liu; Xueyu Zhu; Peng Wang 022 (CSAE, 2021)

On the Computation of Recurrence Coefficients for Univariate Orthogonal Polynomials. - Zexin Liu; Akil Narayan 001 (J. Sci. Comput., 2021)

Non-intrusive Intelligibility Prediction of Noise-suppressed Speech Based on Neural Network. - Fuqiang Ye; Zexin Liu; Fei Chen 011 (WOCC, 2022)

UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering. - Akil Narayan 001; Zexin Liu; Jake A. Bergquist; Chantel Charlebois; Sumientra Rampersad; Lindsay C. Rupp; Dana H. Brooks; Dan White; Jess D. Tate; Rob S. MacLeod (Comput. Biol. Medicine, 2023)

A Stieltjes Algorithm for Generating Multivariate Orthogonal Polynomials. - Zexin Liu; Akil Narayan 001 (SIAM J. Sci. Comput., 2023)

UncertainSCI: A Python Package for Noninvasive Parametric Uncertainty Quantification of Simulation Pipelines. - Jess D. Tate; Zexin Liu; Jake A. Bergquist; Sumientra Rampersad; Dan White; Chantel Charlebois; Lindsay C. Rupp; Dana H. Brooks; Rob S. MacLeod; Akil Narayan 001 (J. Open Source Softw., 2023)