activity
20152025
most citedXAI Beyond Classification: Interpretable Neural Clustering

54 citations · 128 across the 10 of their papers we have counts for

collaborators

10 papers

cs.ET2025★ 5 cited

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…

eess.SP2023★ 1 cited

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…

eess.SP2022

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…

cs.LG2021★ 16 cited

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…

cs.CV2021★ 6 cited

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…

cs.AI2021★ 26 cited

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…

eess.SP2021★ 19 cited

Simultaneously Transmitting and Reflecting (STAR) Intelligent Omni-Surfaces, Their Modeling and Implementation

Jiaqi Xu, Yuanwei Liu, Xidong Mu +4

With the rapid development of advanced electromagnetic manipulation technologies, researchers and engineers are starting to study smart surfaces that can achieve enhanced coverages…

cs.CV2021★ 1 cited

Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding

Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong

Current one-stage methods for visual grounding encode the language query as one holistic sentence embedding before fusion with visual feature. Such a formulation does not treat eac…

cs.LG2018★ 54 cited

XAI Beyond Classification: Interpretable Neural Clustering

Xi Peng, Yunnan Li, Ivor W. Tsang +3

In this paper, we study two challenging problems in explainable AI (XAI) and data clustering. The first is how to directly design a neural network with inherent interpretability, r…

cs.DC2015

Utility Optimal Thread Assignment and Resource Allocation in Multi-Server Systems

Pan Lai, Rui Fan, Xiao Zhang +3

Achieving high performance in many multi-server systems requires finding a good assignment of worker threads to servers and also effectively allocating each server's resources to i…