MALT: distributed data-parallelism for existing ML applications. - Hao Li 022; Asim Kadav; Erik Kruus; Cristian Ungureanu (EuroSys, 2015)

Streaming news image summarization. - Hao Li 022; Shangfu Peng; Hanan Samet (ICPR, 2016)

Pruning Filters for Efficient ConvNets. - Hao Li 022; Asim Kadav; Igor Durdanovic; Hanan Samet; Hans Peter Graf (ICLR (Poster), 2017)

Adaptive Consensus ADMM for Distributed Optimization. - Zheng Xu 002; Gavin Taylor; Hao Li 022; Mário A. T. Figueiredo; Xiaoming Yuan; Tom Goldstein (ICML, 2017)

Training Quantized Nets: A Deeper Understanding. - Hao Li 022; Soham De; Zheng Xu 002; Christoph Studer; Hanan Samet; Tom Goldstein (NIPS, 2017)

Visualizing the Loss Landscape of Neural Nets. - Hao Li 022; Zheng Xu 002; Gavin Taylor; Tom Goldstein (CoRR, 2017)

Visualizing the Loss Landscape of Neural Nets. - Hao Li 022; Zheng Xu 002; Gavin Taylor; Christoph Studer; Tom Goldstein (NeurIPS, 2018)

Towards Fast and Efficient Representation Learning. - Hao Li 022 (2018)

TrajDistLearn: learning to compute distance between trajectories. - Janit Anjaria; Hong Wei 001; Hao Li 022; Shlok Mishra; Hanan Samet (IWCTS@SIGSPATIAL, 2021)