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Publication search results
found 290 matches
- 2024
- Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan:
Efficient spiking neural network design via neural architecture search. Neural Networks 173: 106172 (2024) - Koichiro Yoshino, Yun-Nung Chen, Paul A. Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F. D'Haro, Rafael E. Banchs, Alexander Rudnicky:
Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. 32: 765-778 (2024) - Xuehao Zhou, Mingyang Zhang, Yi Zhou, Zhizheng Wu, Haizhou Li:
Accented Text-to-Speech Synthesis With Limited Data. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1699-1711 (2024) - Xinyuan Qian, Wei Xue, Qiquan Zhang, Ruijie Tao, Haizhou Li:
Deep Cross-Modal Retrieval Between Spatial Image and Acoustic Speech. IEEE Trans. Multim. 26: 4480-4489 (2024) - Haizhou Liu, Xuan Zhang, Hongbin Sun, Mohammad Shahidehpour:
Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting. IEEE Trans. Smart Grid 15(1): 973-986 (2024) - Jiadong Wang, Zexu Pan, Malu Zhang, Robby T. Tan, Haizhou Li:
Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition. AAAI 2024: 19144-19152 - Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li:
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators. AAAI 2024: 19515-19524 - Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. AAAI 2024: 16838-16847 - Danqing Luo, Chen Zhang, Yan Zhang, Haizhou Li:
CrossTune: Black-Box Few-Shot Classification with Label Enhancement. LREC/COLING 2024: 4185-4197 - Ganjun Liu, Xiaohui Hou, Meng Ge, Tao Zhang, Haizhou Li:
A Non-Intrusive Approach to Assessing Dysarthria Severity: Advancing Clinical Diagnosis. WWW (Companion Volume) 2024: 1134-1137 - Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang:
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. WWW 2024: 300-311 - Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang:
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. WWW 2024: 539-550 - Qiquan Zhang, Meng Ge, Hongxu Zhu, Eliathamby Ambikairajah, Qi Song, Zhaoheng Ni, Haizhou Li:
An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement. CoRR abs/2401.09686 (2024) - Xianghu Yue, Xiaohai Tian, Malu Zhang, Zhizheng Wu, Haizhou Li:
CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing. CoRR abs/2401.12264 (2024) - Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li:
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. CoRR abs/2401.14652 (2024) - Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li:
Event-Driven Learning for Spiking Neural Networks. CoRR abs/2403.00270 (2024) - Danqing Luo, Chen Zhang, Yan Zhang, Haizhou Li:
CrossTune: Black-Box Few-Shot Classification with Label Enhancement. CoRR abs/2403.12468 (2024) - Yicheng Gu, Xueyao Zhang, Liumeng Xue, Haizhou Li, Zhizheng Wu:
An Investigation of Time-Frequency Representation Discriminators for High-Fidelity Vocoder. CoRR abs/2404.17161 (2024) - 2023
- Cheng Luo, Rusheng Cai, Haizhou Guo, Siting Luo, Rui Mao, Landu Jiang, Dian Zhang:
MG-ASTN: Multigraph Framework With Attentive Spatial-Temporal Networks for Crowd Mobility Prediction. IEEE Internet Things J. 10(21): 19054-19061 (2023) - Haizhou Cui, Songwei Dong, Jiayi Hu, Mengqi Chen, Bodong Hou, Jingshun Zhang, Botong Zhang, Jitong Xian, Faan Chen:
A hybrid MCDM model with Monte Carlo simulation to improve decision-making stability and reliability. Inf. Sci. 647: 119439 (2023) - Haizhou Zhang, Xianjia Yu, Sier Ha, Tomi Westerlund:
LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation. Remote. Sens. 15(20): 5074 (2023) - Yaxin Li, Yuxin Ding, Yuliang Guo, Haizhou Cui, Haiyi Gao, Ziyu Zhou, Nanbo (Aaron) Zhang, Siyao Zhu, Faan Chen:
An integrated decision model with reliability to support transport safety system analysis. Reliab. Eng. Syst. Saf. 239: 109540 (2023) - Lei Nie, Junjie Zhang, Haizhou Bao, Yiming Huo:
Heuristic Path Search and Multi-Attribute Decision-Making-Based Routing Method for Vehicular Safety Messages. Sensors 23(23): 9506 (2023) - Mingyang Zhang, Xuehao Zhou, Zhizheng Wu, Haizhou Li:
Towards Zero-Shot Multi-Speaker Multi-Accent Text-to-Speech Synthesis. IEEE Signal Process. Lett. 30: 947-951 (2023) - Yi Zhou, Zhizheng Wu, Mingyang Zhang, Xiaohai Tian, Haizhou Li:
TTS-Guided Training for Accent Conversion Without Parallel Data. IEEE Signal Process. Lett. 30: 533-537 (2023) - Qi Zhu, Ting Zhu, Rui Zhang, Haizhou Ye, Kai Sun, Yong Xu, Daoqiang Zhang:
A Cognitive-Driven Ordinal Preservation for Multimodal Imbalanced Brain Disease Diagnosis. IEEE Trans. Cogn. Dev. Syst. 15(2): 675-689 (2023) - Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, Haizhou Li:
PoE: A Panel of Experts for Generalized Automatic Dialogue Assessment. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1234-1250 (2023) - Qiquan Zhang, Xinyuan Qian, Zhaoheng Ni, Aaron Nicolson, Eliathamby Ambikairajah, Haizhou Li:
A Time-Frequency Attention Module for Neural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31: 462-475 (2023) - Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(1): 446-460 (2023) - Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun, Mohammad Shahidehpour:
A Hybrid Federated Learning Framework With Dynamic Task Allocation for Multi-Party Distributed Load Prediction. IEEE Trans. Smart Grid 14(3): 2460-2472 (2023)
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