| 2025 | AAAI | Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization. | Yihan Wu, Yichen Lu, Yifan Peng, Xihua Wang, Ruihua Song, Shinji Watanabe |
| 2025 | ACL | Improved Unbiased Watermark for Large Language Models. | Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang |
| 2025 | CVPR | Animate and Sound an Image. | Xihua Wang, Ruihua Song, Chongxuan Li, Xin Cheng, Boyuan Li, Yihan Wu, Yuyue Wang, Hongteng Xu, Yunfeng Wang |
| 2025 | ICASSP | LoVA: Long-form Video-to-Audio Generation. | Xin Cheng, Xihua Wang, Yihan Wu, Yuyue Wang, Ruihua Song |
| 2025 | ICLR | A Watermark for Order-Agnostic Language Models. | Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang |
| 2025 | ICLR | Towards Optimal Multi-draft Speculative Decoding. | Zhengmian Hu, Tong Zheng, Vignesh Viswanathan, Ziyi Chen, Ryan A. Rossi, Yihan Wu, Dinesh Manocha, Heng Huang |
| 2025 | ICML | De-mark: Watermark Removal in Large Language Models. | Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang |
| 2025 | Interspeech | The Text-to-speech in the Wild (TITW) Database. | Jee-weon Jung, Wangyou Zhang, Soumi Maiti, Yihan Wu, Xin Wang, Ji-Hoon Kim, Yuta Matsunaga, Seyun Um, Jinchuan Tian, Hye-jin Shim, Nicholas W. D. Evans, Joon Son Chung, Shinnosuke Takamichi, Shinji Watanabe |
| 2025 | Interspeech | A Watermark for Auto-Regressive Speech Generation Models. | Yihan Wu, Ruibo Chen, Georgios Milis, Junfeng Guo, Heng Huang |
| 2025 | Interspeech | GALAXY: A Large-Scale Open-Domain Dataset for Multimodal Learning. | Yihan Wu, Yichen Lu, Yijing Chen, Jiaqi Song, William Chen, Ruihua Song, Shinji Watanabe |
| 2025 | KDD | GAS: Large-Scale Heterogeneous Personalization in Social Network Applications at Meta. | Yihan Wu, Mingze Gao, Haoran Liu, Weiwei Li, Kevin Han, Junfeng Pan, Xinyi Zhang, Jiawei Wen, Gedi Zhou |
| 2025 | NAACL | ESPnet-SpeechLM: An Open Speech Language Model Toolkit. | Jinchuan Tian, Jiatong Shi, William Chen, Siddhant Arora, Yoshiki Masuyama, Takashi Maekaku, Yihan Wu, Junyi Peng, Shikhar Bharadwaj, Yiwen Zhao, Samuele Cornell, Yifan Peng, Xiang Yue, Chao-Han Huck Yang, Graham Neubig, Shinji Watanabe |
| 2024 | AAAI | Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains. | Yimu Wang, Yihan Wu, Hongyang Zhang |
| 2024 | ACL | Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. | Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang |
| 2024 | ECCV | Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt. | Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang |
| 2024 | ICLR | Unbiased Watermark for Large Language Models. | Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang |
| 2024 | ICML | Defense against Model Extraction Attack by Bayesian Active Watermarking. | Zhenyi Wang, Yihan Wu, Heng Huang |
| 2024 | ICML | A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models. | Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang |
| 2024 | Interspeech | The Interspeech 2024 Challenge on Speech Processing Using Discrete Units. | Xuankai Chang, Jiatong Shi, Jinchuan Tian, Yuning Wu, Yuxun Tang, Yihan Wu, Shinji Watanabe, Yossi Adi, Xie Chen, Qin Jin |
| 2024 | WWW | Understanding Human Preferences: Towards More Personalized Video to Text Generation. | Yihan Wu, Ruihua Song, Xu Chen, Hao Jiang, Zhao Cao, Jin Yu |
| 2023 | AAAI | Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. | Yihan Wu, Aleksandar Bojchevski, Heng Huang |
| 2023 | AAAI | VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. | Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian |
| 2023 | CVPR | Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. | Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang |
| 2023 | ICASSP | Prompttts: Controllable Text-To-Speech With Text Descriptions. | Zhifang Guo, Yichong Leng, Yihan Wu, Sheng Zhao, Xu Tan |
| 2023 | ICDM | Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach. | Xiaohua Liu, Yi Li, Xiaomin Xiong, Yihan Wu, Mengke Xu, Lin Chen, Bo Lin, Bo Xu, Guoxiang Liu |
| 2023 | ICML | A Law of Robustness beyond Isoperimetry. | Yihan Wu, Heng Huang, Hongyang Zhang |
| 2023 | Interspeech | ComedicSpeech: Text To Speech For Stand-up Comedies in Low-Resource Scenarios. | Yuyue Wang, Huan Xiao, Yihan Wu, Ruihua Song |
| 2023 | SDM | A Physics-guided NN-based Approach for Tropical Cyclone Intensity Estimation. | Ziheng Zhou, Ying Zhao, Yiyu Qing, Wenming Jiang, Yihan Wu, Wenguang Chen |
| 2022 | CSCWD | Masquerade Detection Based on Temporal Convolutional Network. | Haibin Zhai, Yong Wang, Xueqiang Zou, Yihan Wu, Songyue Chen, Hongwei Wu, Yanqin Zheng |
| 2022 | ICML | RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. | Yihan Wu, Hongyang Zhang, Heng Huang |
| 2022 | ICONIP | Schizophrenia Detection Based on EEG Using Recurrent Auto-encoder Framework. | Yihan Wu, Min Xia, Xiuzhu Wang, Yangsong Zhang |
| 2022 | IJCAI | DSNet: EEG-Based Spatial Convolutional Neural Network for Detecting Major Depressive Disorder. | Min Xia, Yihan Wu, Daqing Guo, Yangsong Zhang |
| 2022 | Interspeech | AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios. | Yihan Wu, Xu Tan, Bohan Li, Lei He, Sheng Zhao, Ruihua Song, Tao Qin, Tie-Yan Liu |
| 2022 | Interspeech | Self-supervised Context-aware Style Representation for Expressive Speech Synthesis. | Yihan Wu, Xi Wang, Shaofei Zhang, Lei He, Ruihua Song, Jian-Yun Nie |
| 2022 | SDM | Capturing Model Uncertainty with Data Augmentation in Deep Learning. | Wenming Jiang, Ying Zhao, Yihan Wu, Haojia Zuo |
| 2021 | AISTATS | Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions. | Yihan Wu, Aleksandar Bojchevski, Aleksei Kuvshinov, Stephan Gnnemann |
| 2021 | ICONIP | Deep Learning Models with Time Delay Embedding for EEG-Based Attentive State Classification. | Huan Cai, Min Xia, Li Nie, Yihan Wu, Yangsong Zhang |
| 2021 | ICONIP | An End-to-End Hemisphere Discrepancy Network for Subject-Independent Motor Imagery Classification. | Li Nie, Huan Cai, Yihan Wu, Yangsong Zhang |
| 2021 | ISCAS | The Detection of Attentive Mental State Using a Mixed Neural Network Model. | Huan Cai, Jialiang Tang, Yihan Wu, Min Xia, Gang He, Yangsong Zhang |
| 2020 | OZCHI | Online Dating Meets Artificial Intelligence: How the Perception of Algorithmically Generated Profile Text Impacts Attractiveness and Trust. | Yihan Wu, Ryan M. Kelly |
| 2013 | Middleware | Model-based high availability configuration framework for cloud. | Yihan Wu, Gang Huang |
| 2013 | MODELS | Runtime Model Based Management of Diverse Cloud Resources. | Xiaodong Zhang, Xing Chen, Ying Zhang, Yihan Wu, Wei Yao, Gang Huang, Qiang Lin |
| 2013 | MODELS | Towards RSA-based HA configuration in Cloud. | Yihan Wu, Ying Zhang, Yingfei Xiong, Xiaodong Zhang, Gang Huang |
| 2013 | MODELS | Demonstration of Runtime Model Based Management of Diverse Cloud Resources. | Xiaodong Zhang, Xing Chen, Ying Zhang, Yihan Wu, Gang Huang, Qiang Lin |
| 2012 | Middleware | A model-based framework for platform management in Cloud. | Xing Chen, Ying Zhang, Xiaodong Zhang, Yihan Wu, Gang Huang |
| 2012 | MODELS | Model Driven Configuration of Fault Tolerance Solutions for Component-Based Software System. | Yihan Wu, Gang Huang, Hui Song, Ying Zhang |