What Affects the Performance of Convolutional Neural Networks for Audio Event Classification. - Helin Wang; Dading Chong; Dongyan Huang; Yuexian Zou (ACII Workshops, 2019)

Multi-channel Convolutional Neural Networks with Multi-level Feature Fusion for Environmental Sound Classification. - Dading Chong; Yuexian Zou; Wenwu Wang 001 (MMM (2), 2019)

Learning discriminative and robust time-frequency representations for environmental sound classification. - Helin Wang; Yuexian Zou; Dading Chong; Wenwu Wang 001 (CoRR, 2019)

Acoustic Scene Classification with Spectrogram Processing Strategies. - Helin Wang; Yuexian Zou; DaDing Chong (DCASE, 2020)

Environmental Sound Classification with Parallel Temporal-Spectral Attention. - Helin Wang; Yuexian Zou; Dading Chong; Wenwu Wang 001 (INTERSPEECH, 2020)

Modeling Label Dependencies for Audio Tagging With Graph Convolutional Network. - Helin Wang; Yuexian Zou; Dading Chong; Wenwu Wang 001 (IEEE Signal Process. Lett., 2020)

Enhancing Alzheimer's Disease Diagnosis via Hierarchical 3D-FCN with Multi-Modal Features. - Chao Liu 001; Xiaodong Yang; Dading Chong; Wenwu Wang 001; Liang Li (ICIP, 2021)

Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. - Qingcheng Zeng; Dading Chong; Peilin Zhou; Jie Yang 039 (INTERSPEECH, 2022)

Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection. - Peilin Zhou; Dading Chong; Helin Wang; Qingcheng Zeng (INTERSPEECH, 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 039 (NeurIPS, 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 010; Jie Yang 039 (CoRR, 2022)

Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training. - Dading Chong; Helin Wang; Peilin Zhou; Qingcheng Zeng (ICASSP, 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 010; Rob Voigt; Jie Yang 039 (IJCAI, 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 (NeurIPS, 2023)

LLMRec: Benchmarking Large Language Models on Recommendation Task. - Junling Liu; Chao Liu 001; Peilin Zhou; Qichen Ye; Dading Chong; Kang Zhou; Yueqi Xie; Yuwei Cao; Shoujin Wang; Chenyu You; Philip S. Yu (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)

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)

TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models. - Chen Zhang 020; Chengguang Tang; Dading Chong; Ke Shi; Guohua Tang; Feng Jiang 007; Haizhou Li 001 (EMNLP (Findings), 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 001 (EUSIPCO, 2024)

NRAdapt: Noise-Robust Adaptive Text to Speech Using Untranscribed Data. - Ming Cheng; Shun Lei; Dongyang Dai; Zhiyong Wu 001; Dading Chong (IJCNN, 2024)

Multi-modal Adversarial Training for Zero-Shot Voice Cloning. - John Janiczek; Dading Chong; Dongyang Dai; Arlo Faria; Chao Wang; Tao Wang; Yuzong Liu (INTERSPEECH, 2024)

Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps. - Jian Chen 047; Peilin Zhou; Yining Hua; Dading Chong; Meng Cao 002; Yaowei Li; Zixuan Yuan; Bing Zhu; Junwei Liang 001 (CoRR, 2024)

SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models. - Dongchao Yang; Rongjie Huang 001; Yuanyuan Wang; Haohan Guo; Dading Chong; Songxiang Liu; Xixin Wu; Helen Meng (CoRR, 2024)

Aligning Language Models Using Follow-up Likelihood as Reward Signal. - Chen Zhang 020; Dading Chong; Feng Jiang 007; Chengguang Tang; Anningzhe Gao; Guohua Tang; Haizhou Li 001 (AAAI, 2025)

When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. - Peilin Zhou; Chao Liu 001; Jing Ren 010; Xinfeng Zhou; Yueqi Xie; Meng Cao 002; Zhongtao Rao; You-Liang Huang; Dading Chong; Junling Liu; Jae Boum Kim; Shoujin Wang; et al. (WWW, 2025)

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese. - Peilin Zhou; Bruce Leon; Xiang Ying; Can Zhang 001; Yifan Shao; Qichen Ye; Dading Chong; Zhiling Jin; Chenxuan Xie; Meng Cao 002; Yuxin Gu; Sixin Hong; et al. (CoRR, 2025)

CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech. - Helin Wang; Jiarui Hai; Dading Chong; Karan Thakkar; Tiantian Feng; Dongchao Yang; Junhyeok Lee; Laureano Moro-Velázquez; Jesús Villalba 001; Zengyi Qin; Shrikanth Narayanan; Mounya Elhilali; et al. (CoRR, 2025)