Xiaoliang Dai

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 65

Top Topics

Image Generation

Neural Architecture

Diffusion Models

Object Detection

Top Venues

IEEE Trans. Emerg. Top. Comput.

IEEE Trans. Computers

Publications

Yuewei Yang, Jialiang Wang, Xiaoliang Dai, Peizhao Zhang, Hongbo Zhang
An Analysis on Quantizing Diffusion Transformers. CoRR (2024)
Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CoRR (2024)
Hu Jiang, Qiang Zou, Yunqiang Zhu, Yong Li, Bin Zhou, Wentao Zhou, Shunyu Yao, Xiaoliang Dai, Hongkun Yao, Siyu Chen
Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions. Environ. Model. Softw. 179 (2024)
Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin
An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Weirong Li, Kai Sun, Yunqiang Zhu, Fangyu Ding, Lei Hu, Xiaoliang Dai, Jia Song, Jie Yang, Lang Qian, Shu Wang
GeoTPE: A neural network model for geographical topic phrases extraction from literature based on BERT enhanced with relative position embedding. Expert Syst. Appl. 235 (2024)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
Token Merging: Your ViT But Faster. ICLR (2023)
Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CoRR (2023)
Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda
Pruning Compact ConvNets for Efficient Inference. CoRR (2023)
Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR (2023)
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. CVPR (2023)
Zhihang Yu, Shu Wang, Yunqiang Zhu, Wen Yuan, Xiaoliang Dai, Zhiqiang Zou
Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations. CoRR (2023)
Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR (2023)
Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
Trainable Projected Gradient Method for Robust Fine-tuning. CoRR (2023)
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW (2023)
Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner
Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. CVPR (2023)
Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. CoRR (2023)
Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CoRR (2023)
Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR (2023)
Xiaoliang Dai, Yunqiang Zhu, Kai Sun, Qiang Zou, Shen Zhao, Weirong Li, Lei Hu, Shu Wang
Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China. Remote. Sens. 15 (6) (2023)
Yuewei Yang, Xiaoliang Dai, Jialiang Wang, Peizhao Zhang, Hongbo Zhang
Efficient Quantization Strategies for Latent Diffusion Models. CoRR (2023)
Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. CoRR (2023)
Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CVPR (2023)
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CVPR (2023)
Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha
CURIOUS: Efficient Neural Architecture Search Based on a Performance Predictor and Evolutionary Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
Open-Set Semi-Supervised Object Detection. ECCV (30) (2022)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Incremental Learning Using a Grow-and-Prune Paradigm With Efficient Neural Networks. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
Hydra Attention: Efficient Attention with Many Heads. ECCV Workshops (7) (2022)
Yu-Jhe Li, Tao Xu, Bichen Wu, Ningyuan Zheng, Xiaoliang Dai, Albert Pumarola, Peizhao Zhang, Peter Vajda, Kris Kitani
3D-Aware Encoding for Style-based Neural Radiance Fields. CoRR (2022)
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
Fully Dynamic Inference With Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR (2022)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
Token Merging: Your ViT But Faster. CoRR (2022)
Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
Cross-Domain Adaptive Teacher for Object Detection. CVPR (2022)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
Hydra Attention: Efficient Attention with Many Heads. CoRR (2022)
Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
Open-Set Semi-Supervised Object Detection. CoRR (2022)
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. CoRR (2022)
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CoRR (2022)
Ayten Ozge Akmandor, Xiaoliang Dai, Niraj K. Jha
YSUY: Your Smartphone Understands You - Using Machine Learning to Address Fundamental Human Needs. IEEE Trans. Syst. Man Cybern. Syst. 51 (12) (2021)
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
FP-NAS: Fast Probabilistic Neural Architecture Search. CVPR (2021)
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
DiabDeep: Pervasive Diabetes Diagnosis Based on Wearable Medical Sensors and Efficient Neural Networks. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR (2021)
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining. CVPR (2021)
Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim
Rethinking the Self-Attention in Vision Transformers. CVPR Workshops (2021)
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV (2021)
Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
Cross-Domain Object Detection via Adaptive Self-Training. CoRR (2021)
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
Fully Dynamic Inference with Deep Neural Networks. CoRR (2020)
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR (2020)
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CoRR (2020)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Grow and Prune Compact, Fast, and Accurate LSTMs. IEEE Trans. Computers 69 (3) (2020)
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda
Visual Transformers: Token-based Image Representation and Processing for Computer Vision. CoRR (2020)
Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function. CoRR (2020)
Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CVPR (2020)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. CoRR (2019)
Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks. CoRR (2019)
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. CVPR (2019)
Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods. CoRR (2019)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. IEEE Trans. Computers 68 (10) (2019)
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CVPR (2019)
Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha
PinMe: Tracking a Smartphone User around the World. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (2018)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
Grow and Prune Compact, Fast, and Accurate LSTMs. CoRR (2018)
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CoRR (2018)
Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. CoRR (2018)
Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha
PinMe: Tracking a Smartphone User around the World. CoRR (2018)
Xiaoliang Dai, Niraj K. Jha
Improving Convergence and Simulation Time of Quantum Hydrodynamic Simulation: Application to Extraction of Best 10-nm FinFET Parameter Values. IEEE Trans. Very Large Scale Integr. Syst. 25 (1) (2017)
Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. CoRR (2017)
Xiaoliang Dai, Niraj K. Jha
Using a Device State Library to Boost the Performance of TCAD Mixed-Mode Simulation. IEEE Trans. Very Large Scale Integr. Syst. 25 (9) (2017)
Feng Yang, Xiaoliang Dai, Ruzhi Xu
The Common Problems on the Peer-to-Peer Multicast Overlay Networks. CSSE (3) (2008)