3 citations · 11 across the 5 of their papers we have counts for
5 papers
A Unified Adaptive Recoding Framework for Batched Network Coding
Hoover H. F. Yin, Bin Tang, Ka Hei Ng +3
Batched network coding is a variation of random linear network coding which has low computational and storage costs. In order to adapt to random fluctuations in the number of erasu…
Construction of Subexponential-Size Optical Priority Queues with Switches and Fiber Delay Lines
Bin Tang, Xiaoliang Wang, Cam-Tu Nguyen +2
All-optical switching has been considered as a natural choice to keep pace with growing fiber link capacity. One key research issue of all-optical switching is the design of optica…
Heterogeneity-aware Gradient Coding for Straggler Tolerance
Haozhao Wang, Song Guo, Bin Tang +2
Gradient descent algorithms are widely used in machine learning. In order to deal with huge volume of data, we consider the implementation of gradient descent algorithms in a distr…
Constructing Sub-exponentially Large Optical Priority Queues with Switches and Fiber Delay Lines
Bin Tang, Xiaoliang Wang, Cam-Tu Nguyen +1
Optical switching has been considered as a natural choice to keep pace with growing fiber link capacity. One key research issue of all-optical switching is the design of optical qu…
Expander Chunked Codes
Bin Tang, Shenghao Yang, Baoliu Ye +2
Chunked codes are efficient random linear network coding (RLNC) schemes with low computational cost, where the input packets are encoded into small chunks (i.e., subsets of the cod…