Dading Chong - RankMe

39 papers A* 5A 4B 2Misc 1Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SpeechPalette: A Comprehensive Speech Editing Method for Text-Based Speech Editing, One-Shot TTS and Attributes Editing. IEEE Trans. Pattern Anal. Mach. Intell. Tao Wang, Jiangyan Yi, Ruibo Fu, Chunyu Qiang, Dading Chong, Chao Wang, Dongyang Dai, Zhengqi Wen, Jianhua Tao
2026	J	`jnl`	UniAudio 2.0: A Unified Audio Language Model with Text-Aligned Factorized Audio Tokenization. CoRR Dongchao Yang, Yuanyuan Wang, Dading Chong, Songxiang Liu, Xixin Wu, Helen Meng
2025	A*	`conf`	Aligning Language Models Using Follow-up Likelihood as Reward Signal. AAAI Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li
2025	J	`jnl`	BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese. CoRR Peilin Zhou, Bruce Leon, Xiang Ying, Can Zhang, Yifan Shao, Qichen Ye, Dading Chong, Zhiling Jin, Chenxuan Xie, Meng Cao, Yuxin Gu, Sixin Hong, Jing Ren, Jian Chen, Chao Liu, Yining Hua
2025	J	`jnl`	CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech. CoRR Helin Wang, Jiarui Hai, Dading Chong, Karan Thakkar, Tiantian Feng, Dongchao Yang, Junhyeok Lee, Laureano Moro-Velázquez, Jesús Villalba, Zengyi Qin, Shrikanth Narayanan, Mounya Elhilali, Najim Dehak
2025	J	`jnl`	Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation. CoRR Zhongtao Rao, Peilin Zhou, Dading Chong, Zhiwei Chen, Shoujin Wang, Nan Tang
2025	A*	`conf`	When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. WWW Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim
2024	J	`jnl`	Aligning Language Models Using Follow-up Likelihood as Reward Signal. CoRR Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li
2024	A	`conf`	Multi-modal Adversarial Training for Zero-Shot Voice Cloning. INTERSPEECH John Janiczek, Dading Chong, Dongyang Dai, Arlo Faria, Chao Wang, Tao Wang, Yuzong Liu
2024	J	`jnl`	Multi-modal Adversarial Training for Zero-Shot Voice Cloning. CoRR John Janiczek, Dading Chong, Dongyang Dai, Arlo Faria, Chao Wang, Tao Wang, Yuzong Liu
2024	B	`conf`	NRAdapt: Noise-Robust Adaptive Text to Speech Using Untranscribed Data. IJCNN Ming Cheng, Shun Lei, Dongyang Dai, Zhiyong Wu, Dading Chong
2024	—	`conf`	SRAD-CLF: Squeak and Rattle Anomaly Detection via Contrastive Learning Framework on Real Industrial Noise Recordings. EUSIPCO Zhaoyi Liu, Álvaro López-Chilet, Dading Chong, Sam Michiels, Jon Ander Gómez, Friedrich Wolf-Monheim, David Newton, Danny Hughes
2024	J	`jnl`	SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models. CoRR Dongchao Yang, Rongjie Huang, Yuanyuan Wang, Haohan Guo, Dading Chong, Songxiang Liu, Xixin Wu, Helen Meng
2024	—	`conf`	TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models. EMNLP (Findings) Chen Zhang, Chengguang Tang, Dading Chong, Ke Shi, Guohua Tang, Feng Jiang, Haizhou Li
2024	J	`jnl`	TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models. CoRR Chen Zhang, Chengguang Tang, Dading Chong, Ke Shi, Guohua Tang, Feng Jiang, Haizhou Li
2024	J	`jnl`	Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with Heatmaps. CoRR Jian Chen, Peilin Zhou, Yining Hua, Dading Chong, Meng Cao, Yaowei Li, Zixuan Yuan, Bing Zhu, Junwei Liang
2023	J	`jnl`	Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset. CoRR Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
2023	A*	`conf`	Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset. NeurIPS Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
2023	A*	`conf`	GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost. IJCAI Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Rob Voigt, Jie Yang
2023	J	`jnl`	LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
2023	Misc	`conf`	Masked Spectrogram Prediction for Self-Supervised Audio Pre-Training. ICASSP Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng
2023	J	`jnl`	Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare. CoRR Junling Liu, Ziming Wang, Qichen Ye, Dading Chong, Peilin Zhou, Yining Hua
2023	J	`jnl`	Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu
2022	A	`conf`	Calibrate and Refine! A Novel and Agile Framework for ASR Error Robust Intent Detection. INTERSPEECH Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng
2022	J	`jnl`	Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection. CoRR Peilin Zhou, Dading Chong, Helin Wang, Qingcheng Zeng
2022	J	`jnl`	GreenPLM: Cross-lingual pre-trained language models conversion with (almost) no cost. CoRR Qingcheng Zeng, Lucas Garay, Peilin Zhou, Dading Chong, Yining Hua, Jiageng Wu, Yikang Pan, Han Zhou, Jie Yang
2022	A	`conf`	Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. INTERSPEECH Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang
2022	J	`jnl`	Low-resource Accent Classification in Geographically-proximate Settings: A Forensic and Sociophonetics Perspective. CoRR Qingcheng Zeng, Dading Chong, Peilin Zhou, Jie Yang
2022	A*	`conf`	METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. NeurIPS Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
2022	J	`jnl`	METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets. CoRR Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
2022	J	`jnl`	Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training. CoRR Dading Chong, Helin Wang, Peilin Zhou, Qingcheng Zeng
2021	B	`conf`	Enhancing Alzheimer's Disease Diagnosis via Hierarchical 3D-FCN with Multi-Modal Features. ICIP Chao Liu, Xiaodong Yang, Dading Chong, Wenwu Wang, Liang Li
2020	—	`conf`	Acoustic Scene Classification with Spectrogram Processing Strategies. DCASE Helin Wang, Yuexian Zou, Dading Chong
2020	J	`jnl`	Acoustic Scene Classification with Spectrogram Processing Strategies. CoRR Helin Wang, Yuexian Zou, Dading Chong
2020	A	`conf`	Environmental Sound Classification with Parallel Temporal-Spectral Attention. INTERSPEECH Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang
2020	J	`jnl`	Modeling Label Dependencies for Audio Tagging With Graph Convolutional Network. IEEE Signal Process. Lett. Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang
2019	J	`jnl`	Learning discriminative and robust time-frequency representations for environmental sound classification. CoRR Helin Wang, Yuexian Zou, Dading Chong, Wenwu Wang
2019	—	`conf`	Multi-channel Convolutional Neural Networks with Multi-level Feature Fusion for Environmental Sound Classification. MMM (2) Dading Chong, Yuexian Zou, Wenwu Wang
2019	—	`conf`	What Affects the Performance of Convolutional Neural Networks for Audio Event Classification. ACII Workshops Helin Wang, Dading Chong, Dongyan Huang, Yuexian Zou