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20212024
most citedTowards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024

SSwsrNet: A Semi-Supervised Few-Shot Learning Framework for Wireless Signal Recognition

Hao Zhang, Fuhui Zhou, Qihui Wu +1

Wireless signal recognition (WSR) is crucial in modern and future wireless communication networks since it aims to identify properties of the received signal. Although many deep le…

cs.CL20248 cited

Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform

Mingyue Cheng, Hao Zhang, Jiqian Yang +7

Large language model evaluation plays a pivotal role in the enhancement of its capacity. Previously, numerous methods for evaluating large language models have been proposed in thi…

eess.AS2023

Neural Network Augmented Kalman Filter for Robust Acoustic Howling Suppression

Yixuan Zhang, Hao Zhang, Meng Yu +1

Acoustic howling suppression (AHS) is a critical challenge in audio communication systems. In this paper, we propose a novel approach that leverages the power of neural networks (N…

eess.AS2023

Deep Learning for Joint Acoustic Echo and Acoustic Howling Suppression in Hybrid Meetings

Hao Zhang, Meng Yu, Dong Yu

Hybrid meetings have become increasingly necessary during the post-COVID period and also brought new challenges for solving audio-related problems. In particular, the interplay bet…

eess.AS20213 cited

Multi-Channel and Multi-Microphone Acoustic Echo Cancellation Using A Deep Learning Based Approach

Hao Zhang, DeLiang Wang

Building on the deep learning based acoustic echo cancellation (AEC) in the single-loudspeaker (single-channel) and single-microphone setup, this paper investigates multi-channel A…