activity
20162025
most citedWhen Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective

57 citations · 75 across the 22 of their papers we have counts for

collaborators

22 papers

cs.LG2025

Reinforced Domain Selection for Continuous Domain Adaptation

Hanbing Liu, Huaze Tang, Yanru Wu +2

Continuous Domain Adaptation (CDA) effectively bridges significant domain shifts by progressively adapting from the source domain through intermediate domains to the target domain.…

eess.SP2025

When marine radar target detection meets pretrained large language models

Qiying Hu, Linping Zhang, Xueqian Wang +3

Deep learning (DL) methods are widely used to extract high-dimensional patterns from the sequence features of radar echo signals. However, conventional DL algorithms face challenge…

cs.CV2025

From 2D to 3D Cognition: A Brief Survey of General World Models

Ningwei Xie, Zizi Tian, Lei Yang +3

World models have garnered increasing attention in the development of artificial general intelligence (AGI), serving as computational frameworks for learning representations of the…

cs.NI2025

Aerial Shepherds: Enabling Hierarchical Localization in Heterogeneous MAV Swarms

Haoyang Wang, Jingao Xu, Chenyu Zhao +6

A heterogeneous micro aerial vehicles (MAV) swarm consists of resource-intensive but expensive advanced MAVs (AMAVs) and resource-limited but cost-effective basic MAVs (BMAVs), off…

cs.SD2025

Beyond Identity: A Generalizable Approach for Deepfake Audio Detection

Yasaman Ahmadiadli, Xiao-Ping Zhang, Naimul Khan

Deepfake audio presents a growing threat to digital security, due to its potential for social engineering, fraud, and identity misuse. However, existing detection models suffer fro…

cs.AR2025

BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models

Xiaomeng Han, Yuan Cheng, Jing Wang +6

Large language models (LLMs), with their billions of parameters, pose substantial challenges for deployment on edge devices, straining both memory capacity and computational resour…