Dading Chong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Low Error Rates

Convolutional Neural Networks

Pseudo Relevance Feedback

Top Venues

IEEE Signal Process. Lett.

Publications

Jian Chen, Peilin Zhou, Yining Hua, Dading Chong, Meng Cao, Yaowei Li, Zixuan Yuan, Bing Zhu, Junwei Liang
Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps. CoRR (2024)
Chen Zhang, Chengguang Tang, Dading Chong, Ke Shi, Guohua Tang, Feng Jiang, Haizhou Li
TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models. CoRR (2024)
Junling Liu, Ziming Wang, Qichen Ye, Dading Chong, Peilin Zhou, Yining Hua
Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare. CoRR (2023)
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset. NeurIPS (2023)
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset. CoRR (2023)
Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR (2023)
Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR (2023)
Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost. IJCAI (2023)
Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng
Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training. ICASSP (2023)
Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng
Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection. INTERSPEECH (2022)
Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng
Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training. CoRR (2022)
Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection. CoRR (2022)
Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang
GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost. CoRR (2022)
Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. CoRR (2022)
Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. NeurIPS (2022)
Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. CoRR (2022)
Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. INTERSPEECH (2022)
Chao Liu, Xiaodong Yang, Dading Chong, Wenwu Wang, Liang Li
Enhancing Alzheimer's Disease Diagnosis via Hierarchical 3D-FCN with Multi-Modal Features. ICIP (2021)
Helin Wang, Yuexian Zou, Dading Chong
Acoustic Scene Classification with Spectrogram Processing Strategies. CoRR (2020)
Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang
Environmental Sound Classification with Parallel Temporal-Spectral Attention. INTERSPEECH (2020)
Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang
Modeling Label Dependencies for Audio Tagging With Graph Convolutional Network. IEEE Signal Process. Lett. 27 (2020)
Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang
Learning discriminative and robust time-frequency representations for environmental sound classification. CoRR (2019)
Helin Wang, Dading Chong, Dongyan Huang, Yuexian Zou
What Affects the Performance of Convolutional Neural Networks for Audio Event Classification. ACII Workshops (2019)
Dading Chong, Yuexian Zou, Wenwu Wang
Multi-channel Convolutional Neural Networks with Multi-level Feature Fusion for Environmental Sound Classification. MMM (2) (2019)