Li, Haizhou

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Grauman, K., Westbury, A., Byrne, E., Chavis, Z., Furnari, A., Girdhar, R., Hamburger, J., Jiang, H., Liu, M., Liu, X., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 630

Spoofing and countermeasures for speaker verification: A survey

Wu, Z., Evans, N., Kinnunen, T., Yamagishi, J., Alegre, F., & Li, H. (2015) · Speech Communication

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 601

ADD 2022: the first Audio Deep Synthesis Detection Challenge

Yi, J., Fu, R., Tao, J., Nie, S., Ma, H., Wang, C., Wang, T., Tian, Z., Bai, Y., Fan, C., et al. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 165

Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection

Tao, R., Pan, Z., Das, R. K., Qian, X., Shou, M. Z., & Li, H. (2021) · arXiv

Speech and Audio ProcessingMultimodal Machine Learning Applications

Cited by 156

The reddots data collection for speaker recognition

Lee, K. A., Larcher, A., Wang, G., Kenny, P., Brümmer, N., Leeuwen, D. V., Aronowitz, H., Kockmann, M., Vaquero, C., Ma, B., et al. (2015) · Interspeech 2015

Speech Recognition and SynthesisPhonetics and Phonology Research

Cited by 136

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert

Wang, J., Qian, X., Zhang, M., Tan, R. T., & Li, H. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Speech and Audio ProcessingGenerative Adversarial Networks and Image Synthesis

Cited by 116

Contrastive Learning Based Modality-Invariant Feature Acquisition for Robust Multimodal Emotion Recognition With Missing Modalities

Liu, R., Zuo, H., Lian, Z., Schuller, B. W., & Li, H. (2024) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 96

Multi-Modal Attention for Speech Emotion Recognition

Pan, Z., Luo, Z., Yang, J., & Li, H. (2020) · Interspeech 2020

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 95

CMB: A Comprehensive Medical Benchmark in Chinese

Wang, X., Chen, G. H., Song, D., Zhang, Z., Chen, Z., Xiao, Q., Jiang, F., Li, J., Wan, X., Wang, B., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 94

Extended Constant-Q Cepstral Coefficients for Detection of Spoofing Attacks

Yang, J., Das, R. K., & Li, H. (2018) · 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 53

Long Range Acoustic Features for Spoofed Speech Detection

Das, R. K., Yang, J., & Li, H. (2019) · Interspeech 2019

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 53

Group sparse representation with wavenet vocoder adaptation for spectrum and prosody conversion

Sisman, B., Zhang, M., & Li, H. (2019) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 52

Audio and face video emotion recognition in the wild using deep neural networks and small datasets

Ding, W., Xu, M., Huang, D., Lin, W., Dong, M., Yu, X., & Li, H. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 51

Voice conversion versus speaker verification: an overview

Wu, Z., & Li, H. (2014) · APSIPA Transactions on Signal and Information Processing

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 45

LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT

Wang, R., Bai, Q., Ao, J., Zhou, L., Xiong, Z., Wei, Z., Zhang, Y., Ko, T., & Li, H. (2022) · Interspeech 2022

Speech Recognition and SynthesisAdvanced Neural Network Applications

Cited by 40

Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition

Zhao, J., Li, R., Jin, Q., Wang, X., & Li, H. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 39

Adaptive Wavenet Vocoder for Residual Compensation in GAN-Based Voice Conversion

Sisman, B., Zhang, M., Sakti, S., Li, H., & Nakamura, S. (2018) · 2018 IEEE Spoken Language Technology Workshop (SLT)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 36

Memory Dynamics in Attractor Networks with Saliency Weights

Tang, H., Li, H., & Yan, R. (2010) · Neural Computation

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 34

D-Score: Holistic Dialogue Evaluation Without Reference

Zhang, C., Lee, G., D'Haro, L. F., & Li, H. (2021) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 21

ADD 2023: the Second Audio Deepfake Detection Challenge

Yi, J., Tao, J., Fu, R., Yan, X., Wang, C., Wang, T., Zhang, C. Y., Zhang, X., Zhao, Y., Ren, Y., et al. (2023) · arXiv

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 20

Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect ChatGPT-Generated Text

Yang, L., Jiang, F., & Li, H. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 16

Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect ChatGPT-Generated Text

Yang, L., Jiang, F., & Li, H. (2024) · APSIPA Transactions on Signal and Information Processing

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 16

Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement

Cheng, Z., Zhou, L., Jiang, F., Wang, B., & Li, H. (2025) · Proceedings of the ACM on Web Conference 2025

Authorship Attribution and ProfilingMisinformation and Its Impacts

Cited by 3

Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models

Chen, Y., Zhang, C., Luo, D., D'Haro, L. F., Tan, R. T., & Li, H. (2024) · arXiv

Adversarial Robustness in Machine LearningNatural Language Processing Techniques

Cited by 0