no code implementations • 29 Apr 2024 • Huijun Xing, Xuhui Zhang, Shuo Chang, Jinke Ren, Zixun Zhang, Jie Xu, Shuguang Cui
Different from prior works that investigate them independently, this paper studies the joint signal detection and automatic modulation classification (AMC) by considering a realistic and complex scenario, in which multiple signals with different modulation schemes coexist at different carrier frequencies.
no code implementations • 12 Oct 2023 • Sai Huang, Yuting Chen, Jiashuo He, Shuo Chang, Zhiyong Feng
Specifically, we first transform the received signal to the spectral quotient (SQ) sequence by spectral circular shift division operations.
no code implementations • 23 Aug 2023 • Yueqi Wang, Yoni Halpern, Shuo Chang, Jingchen Feng, Elaine Ya Le, Longfei Li, Xujian Liang, Min-Cheng Huang, Shane Li, Alex Beutel, Yaping Zhang, Shuchao Bi
In this work, we incorporate explicit and implicit negative user feedback into the training objective of sequential recommenders in the retrieval stage using a "not-to-recommend" loss function that optimizes for the log-likelihood of not recommending items with negative feedback.
no code implementations • 6 Aug 2021 • Zhiqing Wei, Fengkai Zhang, Shuo Chang, Yangyang Liu, Huici Wu, Zhiyong Feng
Millimeter wave (mmWave) radar and vision fusion is a mainstream solution for accurate obstacle detection.
no code implementations • 20 Jun 2020 • Shuo Chang, Yifan Zhang, Sai Huang, Yuanyuan Yao, Zhiyong Feng
In general, Siamese tracking algorithms, supervised by logistic loss and triplet loss, increase the value of inner product between exemplar template and positive sample while reduce the value of inner product with background sample.