26 citations · 74 across the 8 of their papers we have counts for
9 papers
Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems
Benjamin Chen Ming Choong, Tao Luo, Cheng Liu +3
Deep neural networks generate and process large volumes of data, posing challenges for low-resource embedded systems. In-memory computing has been demonstrated as an efficient comp…
Active Simultaneously Transmitting and Reflecting (STAR)-RISs: Modelling and Analysis
Jiaqi Xu, Jiakuo Zuo, Joey Tianyi Zhou +1
A hardware model for active simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) is proposed consisting of reflection-type amplifiers. The amp…
Simultaneously Transmitting and Reflecting (STAR)-RISs: Are they Applicable to Dual-Sided Incidence?
Jiaqi Xu, Xidong Mu, Joey Tianyi Zhou +1
A hardware model and a signal model are proposed for dual-sided simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), where the signal simulta…
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma, Zongbo Han, Changqing Zhang +3
Multimodal regression is a fundamental task, which integrates the information from different sources to improve the performance of follow-up applications. However, existing methods…
Towards Debiasing Temporal Sentence Grounding in Video
Hao Zhang, Aixin Sun, Wei Jing +1
The temporal sentence grounding in video (TSGV) task is to locate a temporal moment from an untrimmed video, to match a language query, i.e., a sentence. Without considering bias i…
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du, Hanshu Yan, Jiashi Feng +4
Overparametrized Deep Neural Networks (DNNs) often achieve astounding performances, but may potentially result in severe generalization error. Recently, the relation between the sh…