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Dading Chong
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2020 – today
- 2024
- [i13]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 abs/2405.20215 (2024) - [i12]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 abs/2406.09838 (2024) - 2023
- [c11]Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng:
Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training. ICASSP 2023: 1-5 - [c10]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: 6290-6298 - [c9]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 - [i11]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 abs/2306.03030 (2023) - [i10]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 abs/2308.12241 (2023) - [i9]Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu:
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR abs/2310.09089 (2023) - [i8]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 abs/2310.17956 (2023) - 2022
- [c8]Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng:
Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection. INTERSPEECH 2022: 1096-1100 - [c7]Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang:
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. INTERSPEECH 2022: 5308-5312 - [c6]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 - [i7]Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng:
Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training. CoRR abs/2204.12768 (2022) - [i6]Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng:
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection. CoRR abs/2205.11008 (2022) - [i5]Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang:
Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. CoRR abs/2206.12759 (2022) - [i4]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 abs/2209.13773 (2022) - [i3]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 abs/2211.06993 (2022) - 2021
- [c5]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: 304-308 - 2020
- [j1]Helin Wang
, Yuexian Zou
, Dading Chong, Wenwu Wang
:
Modeling Label Dependencies for Audio Tagging With Graph Convolutional Network. IEEE Signal Process. Lett. 27: 1560-1564 (2020) - [c4]Helin Wang, Yuexian Zou, DaDing Chong:
Acoustic Scene Classification with Spectrogram Processing Strategies. DCASE 2020: 210-214 - [c3]Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang:
Environmental Sound Classification with Parallel Temporal-Spectral Attention. INTERSPEECH 2020: 821-825 - [i2]Helin Wang, Yuexian Zou, Dading Chong:
Acoustic Scene Classification with Spectrogram Processing Strategies. CoRR abs/2007.03781 (2020)
2010 – 2019
- 2019
- [c2]Helin Wang, Dading Chong, Dongyan Huang, Yuexian Zou:
What Affects the Performance of Convolutional Neural Networks for Audio Event Classification. ACII Workshops 2019: 140-146 - [c1]Dading Chong, Yuexian Zou, Wenwu Wang:
Multi-channel Convolutional Neural Networks with Multi-level Feature Fusion for Environmental Sound Classification. MMM (2) 2019: 157-168 - [i1]Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang:
Learning discriminative and robust time-frequency representations for environmental sound classification. CoRR abs/1912.06808 (2019)
Coauthor Index
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last updated on 2024-07-11 22:56 CEST by the dblp team
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