Yu, Dong

46 publications

TMLR 2026 VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models Ce Zhang, Kaixin Ma, Tianqing Fang, Wenhao Yu, Hongming Zhang, Zhisong Zhang, Haitao Mi, Dong Yu

ICLRW 2025 BridgeVoC: Insights into Using Schrödinger Bridge for Neural Vocoders Tong Lei, Andong Li, Rilin Chen, Dong Yu, Meng Yu, Jing Lu, Chengshi Zheng

IJCAI 2025 BridgeVoC: Neural Vocoder with Schrödinger Bridge Tong Lei, Zhiyu Zhang, Rilin Chen, Meng Yu, Jing Lu, Chengshi Zheng, Dong Yu, Andong Li

ICLR 2025 DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu

ICLR 2025 DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu

ICML 2025 Do NOT Think That Much for 2+3=? on the Overthinking of Long Reasoning Models Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

NeurIPS 2025 Improving LLM General Preference Alignment via Optimistic Online Mirror Descent Yuheng Zhang, Dian Yu, Tao Ge, Linfeng Song, Zhichen Zeng, Haitao Mi, Nan Jiang, Dong Yu

ICLR 2025 Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu

NeurIPS 2025 LeVo: High-Quality Song Generation with Multi-Preference Alignment Shun Lei, Yaoxun Xu, ZhiweiLin, Huaicheng Zhang, Wei Tan, Hangting Chen, Yixuan Zhang, Chenyu Yang, Haina Zhu, Shuai Wang, Zhiyong Wu, Dong Yu

TMLR 2025 Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Dong Yu, Meng Jiang

AAAI 2025 LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Dian Yu, Haitao Mi, Jinsong Su, Dong Yu

ICLR 2025 LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

NeurIPS 2025 MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation Zhenwen Liang, Linfeng Song, Yang Li, Tao Yang, Haitao Mi, Dong Yu

ICLR 2025 RepoGraph: Enhancing AI Software Engineering with Repository-Level Code Graph Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu

NeurIPS 2025 The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models Ke Ji, Jiahao Xu, Tian Liang, Qiuzhi Liu, Zhiwei He, Xiaoyuan Liu, Xingyu Chen, Junying Chen, Benyou Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

NeurIPS 2025 Thoughts Are All over the Place: On the Underthinking of Long Reasoning Models Yue Wang, Qiuzhi Liu, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Linfeng Song, Dian Yu, Juntao Li, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

NeurIPS 2025 Trust, but Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards Xiaoyuan Liu, Tian Liang, Zhiwei He, Jiahao Xu, Wenxuan Wang, Pinjia He, Zhaopeng Tu, Haitao Mi, Dong Yu

NeurIPS 2025 Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Mengru Wang, Xingyu Chen, Yue Wang, Zhiwei He, Jiahao Xu, Tian Liang, Qiuzhi Liu, Yunzhi Yao, Wenxuan Wang, Ruotian Ma, Haitao Mi, Ningyu Zhang, Zhaopeng Tu, Xiaolong Li, Dong Yu

NeurIPS 2025 UniGist: Towards General and Hardware-Aligned Sequence-Level Long Context Compression Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Tianqing Fang, Hongming Zhang, Haitao Mi, Dong Yu, Zhicheng Dou

NeurIPSW 2024 LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

ICML 2024 Prompt-Guided Precise Audio Editing with Diffusion Models Manjie Xu, Chenxing Li, Duzhen Zhang, Dan Su, Wei Liang, Dong Yu

ICML 2024 Rewards-in-Context: Multi-Objective Alignment of Foundation Models with Dynamic Preference Adjustment Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen

NeurIPSW 2024 Text-to-Audio Generation via Bridging Audio Language Model and Latent Diffusion Zhenyu Wang, Chenxing Li, Yong Xu, Chunlei Zhang, John H. L. Hansen, Dong Yu

ICLR 2024 The Trickle-Down Impact of Reward Inconsistency on RLHF Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu

NeurIPS 2024 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Lei Han, Haitao Mi, Dong Yu

ICLR 2023 Bayes Risk Ctc: Controllable Ctc Alignment in Sequence-to-Sequence Tasks Jinchuan Tian, Brian Yan, Jianwei Yu, Chao Weng, Dong Yu, Shinji Watanabe

ICLR 2023 Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen

NeurIPSW 2023 LASER: LLM Agent with State-Space Exploration for Web Navigation Kaixin Ma, Hongming Zhang, Hongwei Wang, Xiaoman Pan, Dong Yu

NeurIPSW 2023 MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu

NeurIPS 2023 Thrust: Adaptively Propels Large Language Models with External Knowledge Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Jianshu Chen

ICLR 2022 BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

IJCAI 2022 FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao

AAAI 2022 Hierarchical Context Tagging for Utterance Rewriting Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea

UAI 2022 Meta-Learning Without Data via Wasserstein Distributionally-Robust Model Fusion Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao

CVPR 2021 Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu

AAAI 2021 NaturalConv: A Chinese Dialogue Dataset Towards Multi-Turn Topic-Driven Conversation Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu

AAAI 2021 Tune-in: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu

ECCV 2020 Comprehensive Image Captioning via Scene Graph Decomposition Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li

AAAI 2020 Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment Kun Xu, Linfeng Song, Yansong Feng, Yan Song, Dong Yu

AAAI 2020 Joint Parsing and Generation for Abstractive Summarization Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu

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

AAAI 2020 Relation Extraction Exploiting Full Dependency Forests Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu

IJCAI 2019 Unsupervised Neural Aspect Extraction with Sememes Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu

ICLR 2019 Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu

ICLR 2013 Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks Dong Yu, Michael L. Seltzer, Jinyu Li, Jui-Ting Huang, Frank Seide

ICML 2012 Conversational Speech Transcription Using Context-Dependent Deep Neural Networks Dong Yu, Frank Seide, Gang Li