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Hui Ji 0002
Person information
- affiliation: National University of Singapore, Singapore
Other persons with the same name
- Hui Ji — disambiguation page
- Hui Ji 0001
— Beijing University of Technology, Beijing, China - Hui Ji 0003
— University of Pittsburgh, Pittsburgh, PA, USA - Hui Ji 0004
— Jiangsu University, Zhenjiang, China
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2020 – today
- 2026
[j53]Yan Huang
, Kangjie Liu, Tengyue Chen, Yong Xu, Hui Ji:
Deep intrinsic image decomposition via physics-aware neural networks. Pattern Recognit. 172: 112299 (2026)- 2025
[j52]Yuhui Quan, Xuyi He
, Ruotao Xu
, Yong Xu, Hui Ji
:
Image debanding using cross-scale invertible networks with banded deformable convolutions. Neural Networks 187: 107270 (2025)
[j51]Yan Huang
, Xinchang Lu, Yuhui Quan, Yong Xu, Hui Ji
:
Image shadow removal via multi-scale deep Retinex decomposition. Pattern Recognit. 159: 111126 (2025)
[j50]Huan Teng
, Yuhui Quan
, Yong Xu
, Jun Huang, Hui Ji
:
Model Extraction for Image Denoising Networks. IEEE Trans. Inf. Forensics Secur. 20: 9892-9904 (2025)
[j49]Yuhui Quan
, Xi Wan, Tianxiang Zheng, Yan Huang
, Hui Ji
:
Dual-Path Deep Unsupervised Learning for Multi-Focus Image Fusion. IEEE Trans. Multim. 27: 1165-1176 (2025)
[j48]Xinran Qin
, Yuhui Quan
, Zhuojie Chen
, Hui Ji
:
Robust Unsupervised Deep Learning for Nonblind Image Deconvolution With Inaccurate Kernels. IEEE Trans. Neural Networks Learn. Syst. 36(9): 16960-16974 (2025)
[c52]Yuhui Quan, Xi Wan, Zitao Tang, Jinxiu Liang, Hui Ji:
Multi-Focus Image Fusion via Explicit Defocus Blur Modelling. AAAI 2025: 6657-6665
[c51]Yuhui Quan, Tianxiang Zheng, Zhiyuan Ma, Hui Ji:
Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling. CVPR 2025: 7502-7512
[c50]Xuyi He, Yuhui Quan, Ruotao Xu, Hui Ji:
A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts. CVPR 2025: 12731-12741
[c49]Huan Teng, Yuhui Quan, Chengyu Wang, Jun Huang, Hui Ji:
Fingerprinting Denoising Diffusion Probabilistic Models. CVPR 2025: 28811-28820
[i7]Xinran Qin, Yuhui Quan, Ruotao Xu, Hui Ji:
Reinforced Diffusion: Learning to Push the Limits of Anisotropic Diffusion for Image Denoising. CoRR abs/2512.24035 (2025)- 2024
[j47]Xinran Qin, Yuhui Quan, Hui Ji
:
Enhanced deep unrolling networks for snapshot compressive hyperspectral imaging. Neural Networks 174: 106250 (2024)
[j46]Yuhui Quan
, Xinran Qin
, Tongyao Pang
, Hui Ji
:
Siamese Cooperative Learning for Unsupervised Image Reconstruction From Incomplete Measurements. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4866-4879 (2024)
[j45]Yuhui Quan
, Zicong Wu, Ruotao Xu
, Hui Ji
:
Deep Single Image Defocus Deblurring via Gaussian Kernel Mixture Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11361-11377 (2024)
[j44]Yong Xu
, Xin Yao
, Baoling Liu
, Yuhui Quan
, Hui Ji
:
Text-Guided Portrait Image Matting. IEEE Trans. Artif. Intell. 5(8): 4149-4162 (2024)
[c48]Zhile Chen, Yuhui Quan, Hui Ji:
Unsupervised Deep Unrolling Networks for Phase Unwrapping. CVPR 2024: 25182-25192
[c47]Yutian Zhao
, Tianjing Zhang
, Hui Ji
:
Test-Time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers. ECCV (37) 2024: 111-128
[c46]Yuhui Quan
, Xiaoheng Tan
, Yan Huang
, Yong Xu
, Hui Ji
:
Enhancing Underwater Images via Asymmetric Multi-Scale Invertible Networks. ACM Multimedia 2024: 6182-6191
[c45]Yuhui Quan, Tianxiang Zheng, Hui Ji:
Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising. NeurIPS 2024
[c44]Tianjing Zhang, Yuhui Quan, Hui Ji:
Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation. NeurIPS 2024- 2023
[j43]Ji Li, Weixi Wang, Hui Ji
:
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach. SIAM J. Imaging Sci. 16(4): 2247-2284 (2023)
[j42]Mingqin Chen
, Yuhui Quan
, Yong Xu
, Hui Ji
:
Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble Learning. IEEE Trans. Circuits Syst. Video Technol. 33(2): 634-647 (2023)
[j41]Yuhui Quan
, Xiaoheng Tan, Yan Huang
, Yong Xu
, Hui Ji
:
Image Desnowing via Deep Invertible Separation. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3133-3144 (2023)
[c43]Yuhui Quan, Zhile Chen, Tongyao Pang, Hui Ji:
Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation. AAAI 2023: 2128-2136
[c42]Yuhui Quan, Zicong Wu, Hui Ji:
Neumann Network with Recursive Kernels for Single Image Defocus Deblurring. CVPR 2023: 5754-5763
[c41]Xinran Qin, Yuhui Quan, Tongyao Pang, Hui Ji:
Ground-Truth Free Meta-Learning for Deep Compressive Sampling. CVPR 2023: 9947-9956
[c40]Yuhui Quan, Xin Yao, Hui Ji:
Single Image Defocus Deblurring via Implicit Neural Inverse Kernels. ICCV 2023: 12566-12576
[c39]Yuhui Quan, Huan Teng, Ruotao Xu, Jun Huang, Hui Ji:
Fingerprinting Deep Image Restoration Models. ICCV 2023: 13239-13249- 2022
[j40]Mingqin Chen, Yuhui Quan
, Tongyao Pang, Hui Ji
:
Nonblind Image Deconvolution via Leveraging Model Uncertainty in An Untrained Deep Neural Network. Int. J. Comput. Vis. 130(7): 1770-1789 (2022)
[j39]Weixi Wang, Ji Li, Hui Ji
:
$L_1$-Norm Regularization for Short-and-Sparse Blind Deconvolution: Point Source Separability and Region Selection. SIAM J. Imaging Sci. 15(3): 1345-1372 (2022)
[j38]Yong Xu
, Baoling Liu
, Yuhui Quan
, Hui Ji
:
Unsupervised Deep Background Matting Using Deep Matte Prior. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4324-4337 (2022)
[j37]Jinxiu Liang
, Yong Xu
, Yuhui Quan
, Boxin Shi
, Hui Ji
:
Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7332-7345 (2022)
[j36]Yuhui Quan
, Peikang Lin, Yong Xu
, Yuesong Nan, Hui Ji
:
Nonblind Image Deblurring via Deep Learning in Complex Field. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5387-5400 (2022)
[j35]Mingqin Chen
, Peikang Lin, Yuhui Quan
, Tongyao Pang, Hui Ji
:
Unsupervised Phase Retrieval Using Deep Approximate MMSE Estimation. IEEE Trans. Signal Process. 70: 2239-2252 (2022)
[c38]Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji:
Dual-Domain Self-supervised Learning and Model Adaption for Deep Compressive Imaging. ECCV (30) 2022: 409-426
[c37]Yuhui Quan, Zhuojie Chen, Huan Zheng, Hui Ji:
Learning Deep Non-blind Image Deconvolution Without Ground Truths. ECCV (6) 2022: 642-659
[c36]Jiachun Li, Kunkun Qin, Ruotao Xu
, Hui Ji
:
Deep Scale-Aware Image Smoothing. ICASSP 2022: 2105-2109
[i6]Qiaoqiao Ding, Hui Ji
, Yuhui Quan, Xiaoqun Zhang:
Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction. CoRR abs/2205.00463 (2022)- 2021
[j34]Yong Xu, Ye Zhu
, Yuhui Quan, Hui Ji
:
Attentive deep network for blind motion deblurring on dynamic scenes. Comput. Vis. Image Underst. 205: 103169 (2021)
[j33]Chaoqiang Liu, Hui Ji
, Anqi Qiu:
Fast vertex-based graph convolutional neural network and its application to brain images. Neurocomputing 434: 1-10 (2021)
[j32]Jiulong Liu, Angelica I. Avilés-Rivero, Hui Ji
, Carola-Bibiane Schönlieb:
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction. Medical Image Anal. 68: 101930 (2021)
[j31]Yuhui Quan, Yixin Chen, Yizhen Shao, Huan Teng
, Yong Xu
, Hui Ji
:
Image denoising using complex-valued deep CNN. Pattern Recognit. 111: 107639 (2021)
[j30]Qiaoqiao Ding
, Yuesong Nan, Hao Gao
, Hui Ji
:
Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction. IEEE Trans. Computational Imaging 7: 648-660 (2021)
[j29]Yuhui Quan
, Huan Teng
, Yixin Chen, Hui Ji
:
Watermarking Deep Neural Networks in Image Processing. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1852-1865 (2021)
[c35]Tongyao Pang, Huan Zheng, Yuhui Quan, Hui Ji
:
Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising. CVPR 2021: 2043-2052
[c34]Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji
:
Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity. CVPR 2021: 5231-5240
[c33]Qiaoqiao Ding
, Hui Ji
, Hao Gao, Xiaoqun Zhang:
Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction. MICCAI (6) 2021: 286-295
[c32]Yuhui Quan, Zicong Wu, Hui Ji:
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring. NeurIPS 2021: 20812-20824
[i5]Yuhui Quan, Zicong Wu, Hui Ji:
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring. CoRR abs/2111.00454 (2021)- 2020
[j28]Hui Ji, Zuowei Shen
, Yufei Zhao:
Multiscale Discrete Framelet Transform for Graph-Structured Signals. Multiscale Model. Simul. 18(3): 1210-1241 (2020)
[j27]Ruotao Xu
, Yong Xu, Yuhui Quan
, Hui Ji
:
Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence. SIAM J. Imaging Sci. 13(3): 1179-1210 (2020)
[j26]Yan Huang
, Yuhui Quan
, Yong Xu, Ruotao Xu
, Hui Ji
:
Removing Reflection From a Single Image With Ghosting Effect. IEEE Trans. Computational Imaging 6: 34-45 (2020)
[j25]Yuhui Quan
, Jieting Yang
, Yixin Chen, Yong Xu
, Hui Ji
:
Collaborative Deep Learning for Super-Resolving Blurry Text Images. IEEE Trans. Computational Imaging 6: 778-790 (2020)
[j24]Xuhui Yang
, Yong Xu
, Yuhui Quan
, Hui Ji
:
Image Denoising via Sequential Ensemble Learning. IEEE Trans. Image Process. 29: 5038-5049 (2020)
[c31]Yuhui Quan, Mingqin Chen, Tongyao Pang, Hui Ji
:
Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image. CVPR 2020: 1887-1895
[c30]Yuesong Nan, Hui Ji
:
Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution. CVPR 2020: 2385-2394
[c29]Yuesong Nan, Yuhui Quan, Hui Ji
:
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring. CVPR 2020: 3623-3632
[c28]Tongyao Pang, Yuhui Quan, Hui Ji
:
Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing. ECCV (11) 2020: 475-491
[i4]Jinxiu Liang, Yong Xu, Yuhui Quan, Jingwen Wang, Haibin Ling, Hui Ji:
Deep Bilateral Retinex for Low-Light Image Enhancement. CoRR abs/2007.02018 (2020)
[i3]Qiaoqiao Ding, Yuesong Nan, Hao Gao, Hui Ji:
AHP-Net: adaptive-hyper-parameter deep learning based image reconstruction method for multilevel low-dose CT. CoRR abs/2008.04656 (2020)
2010 – 2019
- 2019
[j23]Yuhui Quan, Yixin Chen, Ruotao Xu
, Hui Ji
:
Attention with structure regularization for action recognition. Comput. Vis. Image Underst. 187 (2019)
[j22]Jinxiu Liang
, Yong Xu
, Chenglong Bao, Yuhui Quan, Hui Ji
:
Barzilai-Borwein-based adaptive learning rate for deep learning. Pattern Recognit. Lett. 128: 197-203 (2019)
[c27]Liuge Yang, Hui Ji
:
A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring. CVPR 2019: 10167-10176
[c26]Yuhui Quan, Shijie Deng, Yixin Chen, Hui Ji
:
Deep Learning for Seeing Through Window With Raindrops. ICCV 2019: 2463-2471
[i2]Chaoqiang Liu, Hui Ji, Anqi Qiu:
Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data. CoRR abs/1903.08828 (2019)
[i1]Jiulong Liu, Angelica I. Avilés-Rivero, Hui Ji, Carola-Bibiane Schönlieb:
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction. CoRR abs/1912.07648 (2019)- 2018
[j21]Hui Ji, Zuowei Shen
, Yufei Zhao:
Digital Gabor filters with MRA structure. Multiscale Model. Simul. 16(1): 452-476 (2018)
[j20]Chenglong Bao, George Barbastathis, Hui Ji
, Zuowei Shen
, Zhengyun Zhang
:
Coherence Retrieval Using Trace Regularization. SIAM J. Imaging Sci. 11(1): 679-706 (2018)- 2017
[c25]Guodong Xu, Yuhui Quan, Hui Ji
:
Estimating Defocus Blur via Rank of Local Patches. ICCV 2017: 5381-5389- 2016
[j19]Zhitao Fan, Hui Ji
, Zuowei Shen
:
Dual Gramian analysis: Duality principle and unitary extension principle. Math. Comput. 85(297): 239-270 (2016)
[j18]Chenglong Bao, Hui Ji
, Yuhui Quan, Zuowei Shen
:
Dictionary Learning for Sparse Coding: Algorithms and Convergence Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1356-1369 (2016)
[j17]Weiqiang Chen, Hui Ji
, Yanfei You:
An Augmented Lagrangian Method for ℓ1-Regularized Optimization Problems with Orthogonality Constraints. SIAM J. Sci. Comput. 38(4) (2016)
[c24]Yuhui Quan, Chenglong Bao, Hui Ji
:
Equiangular Kernel Dictionary Learning with Applications to Dynamic Texture Analysis. CVPR 2016: 308-316
[c23]Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang
, Hui Ji
:
Sparse Coding for Classification via Discrimination Ensemble. CVPR 2016: 5839-5847- 2015
[j16]Yuhui Quan, Hui Ji
, Zuowei Shen
:
Data-Driven Multi-scale Non-local Wavelet Frame Construction and Image Recovery. J. Sci. Comput. 63(2): 307-329 (2015)
[j15]Yong Xu, Yuhui Quan, Zhuming Zhang
, Haibin Ling, Hui Ji
:
Classifying dynamic textures via spatiotemporal fractal analysis. Pattern Recognit. 48(10): 3239-3248 (2015)
[c22]Yuhui Quan, Yan Huang
, Hui Ji
:
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning. ICCV 2015: 73-81
[c21]Yu Luo
, Yong Xu, Hui Ji
:
Removing Rain from a Single Image via Discriminative Sparse Coding. ICCV 2015: 3397-3405- 2014
[j14]Ming Li, Zhitao Fan, Hui Ji
, Zuowei Shen
:
Wavelet Frame Based Algorithm for 3D Reconstruction in Electron Microscopy. SIAM J. Sci. Comput. 36(1) (2014)
[c20]Chenglong Bao, Hui Ji
, Yuhui Quan, Zuowei Shen
:
L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence. CVPR 2014: 3858-3865
[c19]Chenglong Bao, Yuhui Quan, Hui Ji
:
A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding. ECCV (6) 2014: 302-316- 2013
[j13]Likun Hou, Hui Ji
, Zuowei Shen
:
Recovering Over-/Underexposed Regions in Photographs. SIAM J. Imaging Sci. 6(4): 2213-2235 (2013)
[j12]Hui Ji
, Xiong Yang, Haibin Ling, Yong Xu:
Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification. IEEE Trans. Image Process. 22(1): 286-299 (2013)
[c18]Chenglong Bao, Jian-Feng Cai
, Hui Ji
:
Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration. ICCV 2013: 3384-3391- 2012
[j11]Yong Xu, Si-Bin Huang, Hui Ji
, Cornelia Fermüller:
Scale-space texture description on SIFT-like textons. Comput. Vis. Image Underst. 116(9): 999-1013 (2012)
[j10]Jian-Feng Cai
, Hui Ji
, Chaoqiang Liu, Zuowei Shen
:
Framelet-Based Blind Motion Deblurring From a Single Image. IEEE Trans. Image Process. 21(2): 562-572 (2012)
[j9]Hui Ji
, Kang Wang:
Robust Image Deblurring With an Inaccurate Blur Kernel. IEEE Trans. Image Process. 21(4): 1624-1634 (2012)
[c17]Hui Ji
, Kang Wang:
A two-stage approach to blind spatially-varying motion deblurring. CVPR 2012: 73-80
[c16]Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji
:
Real time robust L1 tracker using accelerated proximal gradient approach. CVPR 2012: 1830-1837
[c15]Yong Xu, Yuhui Quan, Zhuming Zhang, Hui Ji
, Cornelia Fermüller, Morimichi Nishigaki, Daniel DeMenthon:
Contour-based recognition. CVPR 2012: 3402-3409- 2011
[j8]Hui Ji
, Si-Bin Huang, Zuowei Shen
, Yuhong Xu:
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation. SIAM J. Imaging Sci. 4(4): 1122-1142 (2011)
[c14]Yong Xu, Yuhui Quan, Haibin Ling, Hui Ji
:
Dynamic texture classification using dynamic fractal analysis. ICCV 2011: 1219-1226- 2010
[j7]Hui Ji
, Zuowei Shen
, Yuhong Xu:
Wavelet frame based scene reconstruction from range data. J. Comput. Phys. 229(6): 2093-2108 (2010)
[c13]Yong Xu, Xiong Yang, Haibin Ling, Hui Ji
:
A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid. CVPR 2010: 161-168
[c12]Hui Ji
, Chaoqiang Liu, Zuowei Shen
, Yuhong Xu:
Robust video denoising using low rank matrix completion. CVPR 2010: 1791-1798
[c11]Yi Li, Cornelia Fermüller, Yiannis Aloimonos, Hui Ji
:
Learning shift-invariant sparse representation of actions. CVPR 2010: 2630-2637
2000 – 2009
- 2009
[j6]Yong Xu, Hui Ji
, Cornelia Fermüller:
Viewpoint Invariant Texture Description Using Fractal Analysis. Int. J. Comput. Vis. 83(1): 85-100 (2009)
[j5]Jian-Feng Cai
, Hui Ji
, Chaoqiang Liu, Zuowei Shen
:
Blind motion deblurring using multiple images. J. Comput. Phys. 228(14): 5057-5071 (2009)
[j4]Hui Ji
, Cornelia Fermüller:
Robust Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 649-660 (2009)
[c10]Jian-Feng Cai
, Hui Ji
, Chaoqiang Liu, Zuowei Shen
:
Blind motion deblurring from a single image using sparse approximation. CVPR 2009: 104-111
[c9]Yong Xu, Si-Bin Huang, Hui Ji
, Cornelia Fermüller:
Combining powerful local and global statistics for texture description. CVPR 2009: 573-580
[c8]Jian-Feng Cai
, Hui Ji
, Chaoqiang Liu, Zuowei Shen
:
High-quality curvelet-based motion deblurring from an image pair. CVPR 2009: 1566-1573
[c7]Yong Xu, Si-Bin Huang, Hui Ji
:
Integrating local feature and global statistics for texture analysis. ICIP 2009: 1377-1380
[c6]Herwig Wendt
, Patrice Abry
, Stéphane Jaffard, Hui Ji
, Zuowei Shen
:
Wavelet Leader multifractal analysis for texture classification. ICIP 2009: 3829-3832- 2008
[c5]Hui Ji
, Chaoqiang Liu:
Motion blur identification from image gradients. CVPR 2008- 2007
[j3]Hui Ji
, Cornelia Fermüller:
Better Flow Estimation from Color Images. EURASIP J. Adv. Signal Process. 2007 (2007)- 2006
[j2]Hui Ji
, Cornelia Fermüller:
A 3D Shape Constraint on Video. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 1018-1023 (2006)
[c4]Yong Xu, Hui Ji
, Cornelia Fermüller:
A Projective Invariant for Textures. CVPR (2) 2006: 1932-1939
[c3]Hui Ji
, Cornelia Fermüller:
Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm. ECCV (4) 2006: 295-307- 2005
[c2]Hui Ji
, Cornelia Fermüller:
Integration of Motion Fields through Shape. CVPR (2) 2005: 663-669- 2004
[c1]Hui Ji
, Cornelia Fermüller:
Bias in Shape Estimation. ECCV (3) 2004: 405-416
1990 – 1999
- 1999
[j1]Hui Ji
, Zuowei Shen
:
Compactly supported (bi)orthogonal wavelets generated by interpolatory refinable functions. Adv. Comput. Math. 11(1): 81-104 (1999)
Coauthor Index

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