Yang, Nan

25 publications

NeurIPS 2025 Chain-of-Retrieval Augmented Generation Liang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei

AAAI 2025 Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning Xiaoling Zhou, Ou Wu, Nan Yang

ICLR 2025 Generative Representational Instruction Tuning Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela

ICLR 2025 Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen

AAAI 2025 SMamba: Sparse Mamba for Event-Based Object Detection Nan Yang, Yang Wang, Zhanwen Liu, Meng Li, Yisheng An, Xiangmo Zhao

CVPR 2025 Sonata: Self-Supervised Learning of Reliable Point Representations Xiaoyang Wu, Daniel DeTone, Duncan Frost, Tianwei Shen, Chris Xie, Nan Yang, Jakob Engel, Richard Newcombe, Hengshuang Zhao, Julian Straub

WACV 2024 FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions Tarun Yenamandra, Ayush Tewari, Nan Yang, Florian Bernard, Christian Theobalt, Daniel Cremers

ICLRW 2024 Generative Representational Instruction Tuning Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela

AAAI 2024 Learning to Rank in Generative Retrieval Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li

ICLR 2024 PoSE: Efficient Context Window Extension of LLMs via Positional Skip-Wise Training Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li

MLOSS 2024 Pygmtools: A Python Graph Matching Toolkit Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan

CVPR 2023 Behind the Scenes: Density Fields for Single View Reconstruction Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers

AAAI 2023 Combining Adversaries with Anti-Adversaries in Training Xiaoling Zhou, Nan Yang, Ou Wu

CVPR 2021 MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers

CoRL 2021 TANDEM: Tracking and Dense Mapping in Real-Time Using Deep Multi-View Stereo Lukas Koestler, Nan Yang, Niclas Zeller, Daniel Cremers

NeurIPS 2020 MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou

ICML 2020 UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon

CoRL 2019 Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light Eunah Jung, Nan Yang, Daniel Cremers

AAAI 2019 Read + Verify: Machine Reading Comprehension with Unanswerable Questions Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li

NeurIPS 2019 Unified Language Model Pre-Training for Natural Language Understanding and Generation Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon

ECCV 2018 Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry Nan Yang, Rui Wang, Jorg Stuckler, Daniel Cremers

AAAI 2018 S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou

AAAI 2018 Sequential Copying Networks Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou

AAAI 2016 Jointly Modeling Topics and Intents with Global Order Structure Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang

IJCAI 2015 Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation Yaming Sun, Lei Lin, Duyu Tang, Nan Yang, Zhenzhou Ji, Xiaolong Wang