Hao Li

12 papers A* 2A 1B 1Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2021 — conf
TrajDistLearn: learning to compute distance between trajectories.
IWCTS@SIGSPATIAL
Janit Anjaria, Hong Wei, Hao Li, Shlok Mishra, Hanan Samet
2018 — —
Towards Fast and Efficient Representation Learning.
Hao Li
2018 A* conf
Visualizing the Loss Landscape of Neural Nets.
NeurIPS
Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer, Tom Goldstein
2017 A* conf
Adaptive Consensus ADMM for Distributed Optimization.
ICML
Zheng Xu, Gavin Taylor, Hao Li, Mário A. T. Figueiredo, Xiaoming Yuan, Tom Goldstein
2017 J jnl
Adaptive Consensus ADMM for Distributed Optimization.
CoRR
Zheng Xu, Gavin Taylor, Hao Li, Mário A. T. Figueiredo, Xiaoming Yuan, Tom Goldstein
2017 — conf
Pruning Filters for Efficient ConvNets.
ICLR (Poster)
Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, Hans Peter Graf
2017 — conf
Training Quantized Nets: A Deeper Understanding.
NIPS
Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein
2017 J jnl
Training Quantized Nets: A Deeper Understanding.
CoRR
Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein
2017 J jnl
Visualizing the Loss Landscape of Neural Nets.
CoRR
Hao Li, Zheng Xu, Gavin Taylor, Tom Goldstein
2016 J jnl
Pruning Filters for Efficient ConvNets.
CoRR
Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, Hans Peter Graf
2016 B conf
Streaming news image summarization.
ICPR
Hao Li, Shangfu Peng, Hanan Samet
2015 A conf
MALT: distributed data-parallelism for existing ML applications.
EuroSys
Hao Li, Asim Kadav, Erik Kruus, Cristian Ungureanu