Feng, Yang

40 publications

NeurIPS 2025 A Latent Multilayer Graphical Model for Complex, Interdependent Systems Martin Ondrus, Ivor Cribben, Yang Feng

ICLR 2025 Differentiable Rule Induction from Raw Sequence Inputs Kun Gao, Katsumi Inoue, Yongzhi Cao, Hanpin Wang, Yang Feng

NeurIPS 2025 Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space Zhengrui Ma, Yang Feng, Chenze Shao, Fandong Meng, Jie Zhou, Min Zhang

NeurIPS 2025 FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing Shoutao Guo, Shaolei Zhang, Qingkai Fang, Zhengrui Ma, Min Zhang, Yang Feng

ICLR 2025 LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token Shaolei Zhang, Qingkai Fang, Zhe Yang, Yang Feng

AAAI 2025 Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation Shoutao Guo, Shaolei Zhang, Zhengrui Ma, Yang Feng

JMLR 2025 Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness Ye Tian, Yuqi Gu, Yang Feng

ICLR 2025 Llama-Omni: Seamless Speech Interaction with Large Language Models Qingkai Fang, Shoutao Guo, Yan Zhou, Zhengrui Ma, Shaolei Zhang, Yang Feng

IJCAI 2025 Modality-Fair Preference Optimization for Trustworthy MLLM Alignment Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu

ICML 2025 Overcoming Non-Monotonicity in Transducer-Based Streaming Generation Zhengrui Ma, Yang Feng, Min Zhang

NeurIPSW 2024 Enhancing Medical VQA with Multimodal Determination Rationales Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu, Yang Feng, Jian Wu, Zuozhu Liu

ICLR 2024 FedLoGe: Joint Local and Generic Federated Learning Under Long-Tailed Data Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu

NeurIPS 2024 Speculative Decoding with CTC-Based Draft Model for LLM Inference Acceleration Zhuofan Wen, Shangtong Gui, Yang Feng

AAAI 2024 TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling Longxiang Liu, Xiuxing Li, Yang Feng

ICML 2024 Towards the Theory of Unsupervised Federated Learning: Non-Asymptotic Analysis of Federated EM Algorithms Ye Tian, Haolei Weng, Yang Feng

ICMLW 2023 A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Xiaotang Gai, Yang Feng, Zuozhu Liu

NeurIPS 2023 Beyond MLE: Convex Learning for Text Generation Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng

NeurIPS 2023 DASpeech: Directed Acyclic Transformer for Fast and High-Quality Speech-to-Speech Translation Qingkai Fang, Yan Zhou, Yang Feng

NeurIPS 2023 Fast Model DeBias with Machine Unlearning Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu

NeurIPS 2023 Fed-GraB: Federated Long-Tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hua Yang, Zuozhu Liu

ICLR 2023 Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng

ICLR 2023 Hidden Markov Transformer for Simultaneous Machine Translation Shaolei Zhang, Yang Feng

NeurIPS 2023 Hokoff: Real Game Dataset from Honor of Kings and Its Offline Reinforcement Learning Benchmarks Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Liu Linc, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji

NeurIPS 2023 Non-Autoregressive Machine Translation with Probabilistic Context-Free Grammar Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng

ICLR 2023 On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu

AAAI 2023 Rephrasing the Reference for Non-Autoregressive Machine Translation Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng

NeurIPS 2023 Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu

NeurIPS 2023 Unified Segment-to-Segment Framework for Simultaneous Sequence Generation Shaolei Zhang, Yang Feng

MIDL 2023 Unsupervised Pre-Training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans Xiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng, Gaoang Wang, Liu Zuozhu

NeurIPS 2022 Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation Chenze Shao, Yang Feng

ICLR 2022 Relational Surrogate Loss Learning Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu

AAAI 2021 Future-Guided Incremental Transformer for Simultaneous Translation Shaolei Zhang, Yang Feng, Liangyou Li

JMLR 2021 RaSE: Random Subspace Ensemble Classification Ye Tian, Yang Feng

IJCAI 2020 Bridging the Gap Between Training and Inference for Neural Machine Translation (Extended Abstract) Wen Zhang, Yang Feng, Qun Liu

AAAI 2020 Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou

AAAI 2020 Modeling Fluency and Faithfulness for Diverse Neural Machine Translation Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu

JMLR 2020 Neyman-Pearson Classification: Parametrics and Sample Size Requirement Xin Tong, Lucy Xia, Jiacheng Wang, Yang Feng

AAAI 2019 Multi-Winner Contests for Strategic Diffusion in Social Networks Wen Shen, Yang Feng, Cristina V. Lopes

ECCV 2018 Video Re-Localization Yang Feng, Lin Ma, Wei Liu, Tong Zhang, Jiebo Luo

JMLR 2016 Neyman-Pearson Classification Under High-Dimensional Settings Anqi Zhao, Yang Feng, Lie Wang, Xin Tong