Towards a sampling theorem for signals on arbitrary graphs. - Aamir Anis; Akshay Gadde; Antonio Ortega (ICASSP, 2014)

Active semi-supervised learning using sampling theory for graph signals. - Akshay Gadde; Aamir Anis; Antonio Ortega (KDD, 2014)

Markov chain sparsification with independent sets for approximate value iteration. - Eduardo Pavez; Nicolò Michelusi; Aamir Anis; Urbashi Mitra; Antonio Ortega (Allerton, 2015)

Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning. - Aamir Anis; Aly El Gamal; Salman Avestimehr; Antonio Ortega (ICASSP, 2015)

Compression of dynamic 3D point clouds using subdivisional meshes and graph wavelet transforms. - Aamir Anis; Philip A. Chou; Antonio Ortega (ICASSP, 2016)

Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies. - Aamir Anis; Akshay Gadde; Antonio Ortega (IEEE Trans. Signal Process., 2016)

Tree-structured filter banks for M-block cyclic graphs. - Aamir Anis; David B. H. Tay; Antonio Ortega (ACSSC, 2017)

Critical sampling for wavelet filterbanks on arbitrary graphs. - Aamir Anis; Antonio Ortega (ICASSP, 2017)

A switchable loop-restoration with side-information framework for the emerging AV1 video codec. - Debargha Mukherjee; Shunyao Li; Yue Chen; Aamir Anis; Sarah Parker; James Bankoski (ICIP, 2017)

Cascade and Lifting Structures in the Spectral Domain for Bipartite Graph Filter Banks. - David B. H. Tay; Antonio Ortega; Aamir Anis (APSIPA, 2018)

A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning. - Aamir Anis; Aly El Gamal; Amir Salman Avestimehr; Antonio Ortega (IEEE Trans. Inf. Theory, 2019)