Hao Zhang (张浩)

Bio

I am currently a senior researcher at Tencent AI Lab. I received my Ph.D. in Computer Science and Engineering from Ohio State University, where I was advised by Prof. DeLiang Wang. I also hold a Master's degree in Electrical Engineering from Northwestern Polytechnical University, where I was supervised by Prof. Jingdong Chen.

My research focuses on artificial intelligence, speech enhancement, speech separation, acoustic echo cancellation, active noise control, acoustic howling suppression, and deep learning. I am also interested in microphone array processing and music source separation

I serve as a reviewer for IEEE/ACM Transactions on Audio, Speech, and Language Processing, Neural Networks, Signal Processing, IEEE Signal Processing Letters, The Journal of the Acoustical Society of America, Speech Communication, The Journal of Supercomputing, Journal of Cleaner Production, International Journal of Acoustics and Vibration, Speech Communication, Measurement, Mechanical Systems and Signal Processing, Heliyon, Knowledge-Based Systems, ICASSP, and, INTERSPEECH.

Publications

Journal Articles

[7] H. Zhang, Y. Zhang, M. Yu and D. Yu, "Enhanced Acoustic Howling Suppression via Hybrid Kalman Filter and Deep Learning Models", in IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024.
Paper

[6] H. Zhang, A. Pandey, and D. L. Wang, "Low-latency active noise control using attentive recurrent network", in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 1114-1123, 2023.
Paper

[5] H. Zhang, and D. L. Wang, "Deep MCANC: A deep learning approach to multi-channel active noise control", in Neural Networks, vol. 158, pp. 318-327, 2023.
Paper

[4] H. Zhang, and D. L. Wang, "Neural cascade architecture for multi-channel acoustic echo suppression", in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 2326-2336, 2022.
Paper

[3] H. Zhang and D. L. Wang, "Deep ANC: A deep learning approach to active noise control", in Neural Networks, vol. 141, pp. 1-10, 2021.
Paper

[2] H. Zhang, J. Chen, and J. Benesty, "Study of nonuniform linear differential microphone arrays with the minimum-norm filter", in Journal of Applied Acoustics, vol. 98, pp. 62-69, 2015.
Paper

[1] J. Benesty, J. Chen, C. Pan, and H. Zhang, "Study and design of robust differential beamformers with linear microphone arrays", in The Journal of the Acoustical Society of America, vol. 137, pp. 2238-2238, 2015.

Conference Papers

[13] H. Zhang Y. Zhang, M. Yu and D. Yu, "Advancing Acoustic Howling Suppression through Recursive Training of Neural Networks", in the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024.

[12] Y. Zhang, M. Yu, H. Zhang, D. Yu and D. L. Wang, "NeuralKalman: A learnable Kalman filter for acoustic echo cancellation", in IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2023.

[11] H. Zhang, M. Yu, and D. Yu, "Deep Learning for Joint Acoustic Echo and Acoustic Howling Suppression in Hybrid Meetings", in IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2023.

[10] H. Zhang, M. Yu, and D. Yu, "Hybrid AHS: A Hybrid of Kalman Filter and Deep Learning for Acoustic Howling Suppression", in the Conference of the International Speech Communication Association (INTERSPEECH), 2023.

[9] H. Zhang, M. Yu and D. Yu, "Deep AHS: A deep learning approach to acoustic howling suppression", in the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.

[8] H. Zhang, and D. L. Wang, "Neural Cascade Architecture for Joint Acoustic Echo and Noise Suppression", in the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.

[7] H. Zhang, S. Kandadai, H. Rao, M. Kim, T. Pruthi, and T Kristjansson, "Deep adaptive AEC: Hybrid of deep learning and adaptive acoustic echo cancellation", in the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.

[6] H. Zhang, A. Pandey, and D. L. Wang, "Attentive Recurrent Network for Low-Latency Active Noise Control", in the Conference of the International Speech Communication Association (INTERSPEECH), 2022.

[5] H. Zhang and D. L. Wang, "A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo Cancellation", in the Conference of the International Speech Communication Association (INTERSPEECH), 2021.

[4] H. Zhang and D. L. Wang, "A Deep Learning Method to Multi-Channel Active Noise Control", in the Conference of the International Speech Communication Association (INTERSPEECH), 2021.

[3] H. Zhang and D. L. Wang, "A Deep Learning Approach to Active Noise Control", in the Conference of the International Speech Communication Association (INTERSPEECH), pp. 1141-1145, 2020.
Paper

[2] H. Zhang, K. Tan and D. L. Wang, "Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions", in the Conference of the International Speech Communication Association (INTERSPEECH), pp. 4255-4259, 2019.
Paper

[1] H. Zhang and D. L. Wang, "Deep learning for acoustic echo cancellation in noisy and double-talk scenarios", in the Conference of the International Speech Communication Association (INTERSPEECH), pp. 3239-3243, 2018.
Paper

Technical Reports

[4] Y. Zhang, H. Zhang, M. Yu, and D. Yu, "Neural network augmented kalman filter for robust acoustic howling suppression", arXiv preprint arXiv:2309.16049.

[3] H. Wang, M. Yu, H. Zhang, C. Zhang, Z. Xu, M. Yang, Y. Zhang, and D. Yu, "Unifying Robustness and Fidelity: A Comprehensive Study of Pretrained Generative Methods for Speech Enhancement in Adverse Conditions", arXiv preprint arXiv:2309.09028.

[2] H. Zhang, "Deep Learning for Acoustic Echo Cancellation and Active Noise Control", The Ohio State University (Ph.D. dissertation), 2022.

[1] H. Zhang and D. L. Wang, "Multi-channel and multi-microphone acoustic echo cancellation using a deep learning based approach", arXiv:2103.02552.
Paper

Hao Zhang (张浩)

Bio

Publications

Journal Articles

Conference Papers

Technical Reports

Working

Teaching