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Chenglong Wang

Learning From Yourself: A Self-Distillation Method for Fake Speech Detection

Mar 02, 2023
Jun Xue, Cunhang Fan, Jiangyan Yi, Chenglong Wang, Zhengqi Wen, Dan Zhang, Zhao Lv

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* Accepted by ICASSP 2023

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Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection

Feb 01, 2023
Chenglong Wang, Yi Lu, Yongyu Mu, Yimin Hu, Tong Xiao, Jingbo Zhu

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* accepted by EMNLP (Findings) 2022

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CodeExp: Explanatory Code Document Generation

Nov 25, 2022
Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan

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* Accepted in Findings of EMNLP 2022

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Execution-based Evaluation for Data Science Code Generation Models

Nov 17, 2022
Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin Clement, Nan Duan, Jianfeng Gao

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* Accepted by the 4th Workshop on Data Science with Human-in-the-loop (DaSH) at EMNLP 2022

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System Fingerprints Detection for DeepFake Audio: An Initial Dataset and Investigation

Aug 21, 2022
Xinrui Yan, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Haoxin Ma, Zhengkun Tian, Ruibo Fu

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* 9 pages, 3 figures. arXiv admin note: text overlap with arXiv:2208.09646

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An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio

Aug 20, 2022
Xinrui Yan, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Haoxin Ma, Tao Wang, Shiming Wang, Ruibo Fu

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* Accepted by ACM Multimedia 2022 Workshop: First International Workshop on Deepfake Detection for Audio Multimedia

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