Professor Yunxin Liu from the Institute for Artificial Intelligence Industry Research (AIR) at Tsinghua University, in collaboration with Shanghai Jiao Tong University, Shanghai QiZhi Institute, Microsoft Research, and the University of Rochester, published a paper titled "ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization" at the 55th ACM/IEEE International Symposium on Microarchitecture (MICRO 2022) conference. This paper has been recognized as one of the top 24 papers selected based on innovation and long-term impact potential from hundreds of articles in the field of computer architecture at the top conferences (ISCA, MICRO, HPCA, ASPLOS). It has received high recognition from the international academic community. Click the link for more details:
https://air.tsinghua.edu.cn/info/1007/2018.htm
