activity
20202026
most citedRetrieval-Augmented Audio Deepfake Detection

13 citations · 16 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CL2026

ProbPlug: A Plugin Uncertainty Network for Reliable Confidence in LLM Binary Classification

Jianzong Wang, Chuhang Liu, Botao Zhao +6

Large language models (LLMs) have achieved strong performance across a broad range of classification settings, yet the reliability of their predictions remains a major obstacle to…

cs.RO2026

Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization

Jianzong Wang, Botao Zhao, Yayun He +2

Achieving general-purpose robotics requires empowering robots to adapt and evolve based on their environment and feedback. Traditional methods face limitations such as extensive tr…

cs.RO2026

Confusion-Aware In-Context-Learning for Vision-Language Models in Robotic Manipulation

Yayun He, Zuheng Kang, Botao Zhao +3

Vision-language models (VLMs) have significantly improved the generalization capabilities of robotic manipulation. However, VLM-based systems often suffer from a lack of robustness…

cs.SD2026

Attention-weighted Centered Kernel Alignment for Knowledge Distillation in Large Audio-Language Models Applied to Speech Emotion Recognition

Qingran Yang, Botao Zhao, Zuheng Kang +7

The emergence of Large Audio-Language Models (LALMs) has advanced Speech Emotion Recognition (SER), but their size limits deployment in resource-constrained environments. While Kno…

cs.SD2025

EMO-RL: Emotion-Rule-Based Reinforcement Learning Enhanced Audio-Language Model for Generalized Speech Emotion Recognition

Pengcheng Li, Botao Zhao, Zuheng Kang +4

Although Large Audio-Language Models (LALMs) have exhibited outstanding performance in auditory understanding, their performance in affective computing scenarios, particularly in e…

cs.SD2025

Generalized Audio Deepfake Detection Using Frame-level Latent Information Entropy

Botao Zhao, Zuheng Kang, Yayun He +4

Generalizability, the capacity of a robust model to perform effectively on unseen data, is crucial for audio deepfake detection due to the rapid evolution of text-to-speech (TTS) a…

cs.LG2025

ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression

Botao Zhao, Xiaoyang Qu, Zuheng Kang +3

In deep regression, capturing the relationship among continuous labels in feature space is a fundamental challenge that has attracted increasing interest. Addressing this issue can…

cs.LG2024

Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning

Zuheng Kang, Yayun He, Jianzong Wang +2

Single-model systems often suffer from deficiencies in tasks such as speaker verification (SV) and image classification, relying heavily on partial prior knowledge during decision-…

cs.SD2024★ 13 cited

Retrieval-Augmented Audio Deepfake Detection

Zuheng Kang, Yayun He, Botao Zhao +4

With recent advances in speech synthesis including text-to-speech (TTS) and voice conversion (VC) systems enabling the generation of ultra-realistic audio deepfakes, there is growi…

cs.SD2023

VoiceExtender: Short-utterance Text-independent Speaker Verification with Guided Diffusion Model

Yayun He, Zuheng Kang, Jianzong Wang +2

Speaker verification (SV) performance deteriorates as utterances become shorter. To this end, we propose a new architecture called VoiceExtender which provides a promising solution…

cs.SD2023★ 1 cited

SVVAD: Personal Voice Activity Detection for Speaker Verification

Zuheng Kang, Jianzong Wang, Junqing Peng +1

Voice activity detection (VAD) improves the performance of speaker verification (SV) by preserving speech segments and attenuating the effects of non-speech. However, this scheme i…

cs.SD2023★ 1 cited

Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification

Zuheng Kang, Yayun He, Jianzong Wang +3

Data-Free Knowledge Distillation (DFKD) has recently attracted growing attention in the academic community, especially with major breakthroughs in computer vision. Despite promisin…

cs.SD2022

SVLDL: Improved Speaker Age Estimation Using Selective Variance Label Distribution Learning

Zuheng Kang, Jianzong Wang, Junqing Peng +1

Estimating age from a single speech is a classic and challenging topic. Although Label Distribution Learning (LDL) can represent adjacent indistinguishable ages well, the uncertain…

cs.SD2022★ 1 cited

SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified Datasets and Multitask Learning

Zuheng Kang, Junqing Peng, Jianzong Wang +1

Speech emotion recognition (SER) has many challenges, but one of the main challenges is that each framework does not have a unified standard. In this paper, we propose SpeechEQ, a…

cs.SD2022

Towards Speaker Age Estimation with Label Distribution Learning

Shijing Si, Jianzong Wang, Junqing Peng +1

Existing methods for speaker age estimation usually treat it as a multi-class classification or a regression problem. However, precise age identification remains a challenge due to…

eess.AS2020

A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder

Chen Feng, Jianzong Wang, Tongxu Li +2

Recently, the speaker clustering model based on aggregation hierarchy cluster (AHC) is a common method to solve two main problems: no preset category number clustering and fix cate…