Dading Chong

According to our database, Dading Chong authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Aligning Language Models Using Follow-up Likelihood as Reward Signal.

Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li

CoRR, 2024

Multi-modal Adversarial Training for Zero-Shot Voice Cloning.

John Janiczek, Dading Chong, Dongyang Dai, Arlo Faria, Chao Wang, Tao Wang, Yuzong Liu

CoRR, 2024

SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models.

Dongchao Yang, Rongjie Huang, Yuanyuan Wang, Haohan Guo, Dading Chong, Songxiang Liu, Xixin Wu, Helen Meng

CoRR, 2024

Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps.

Jian Chen, Peilin Zhou, Yining Hua, Dading Chong, Meng Cao, Yaowei Li, Zixuan Yuan, Bing Zhu, Junwei Liang

CoRR, 2024

NRAdapt: Noise-Robust Adaptive Text to Speech Using Untranscribed Data.

Ming Cheng, Shun Lei, Dongyang Dai, Zhiyong Wu, Dading Chong

Proceedings of the International Joint Conference on Neural Networks, 2024

SRAD-CLF: Squeak and Rattle Anomaly Detection via Contrastive Learning Framework on Real Industrial Noise Recordings.

Zhaoyi Liu, Álvaro López-Chilet, Dading Chong, Sam Michiels, Jon Ander Gómez, Friedrich Wolf-Monheim, David Newton, Danny Hughes

Proceedings of the 32nd European Signal Processing Conference, 2024

TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models.

Chen Zhang, Chengguang Tang, Dading Chong, Ke Shi, Guohua Tang, Feng Jiang, Haizhou Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare.

Junling Liu, Ziming Wang, Qichen Ye, Dading Chong, Peilin Zhou, Yining Hua

CoRR, 2023

Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model.

Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu

CoRR, 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.

Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu

CoRR, 2023

Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset.

Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost.

Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training.

Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost.

Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang

CoRR, 2022

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.

Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection.

Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective.

Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Enhancing Alzheimer's Disease Diagnosis via Hierarchical 3D-FCN with Multi-Modal Features.

Chao Liu, Xiaodong Yang, Dading Chong, Wenwu Wang, Liang Li

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Modeling Label Dependencies for Audio Tagging With Graph Convolutional Network.

Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang

IEEE Signal Process. Lett., 2020

Environmental Sound Classification with Parallel Temporal-Spectral Attention.

Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Acoustic Scene Classification with Spectrogram Processing Strategies.

Helin Wang, Yuexian Zou, DaDing Chong

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

Learning discriminative and robust time-frequency representations for environmental sound classification.

Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang

CoRR, 2019

Multi-channel Convolutional Neural Networks with Multi-level Feature Fusion for Environmental Sound Classification.

Dading Chong, Yuexian Zou, Wenwu Wang

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

What Affects the Performance of Convolutional Neural Networks for Audio Event Classification.

Helin Wang, Dading Chong, Dongyan Huang, Yuexian Zou

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019