The Common Problems on the Peer-to-Peer Multicast Overlay Networks. - Feng Yang; Xiaoliang Dai; Ruzhi Xu (CSSE (3), 2008)

Improving Convergence and Simulation Time of Quantum Hydrodynamic Simulation: Application to Extraction of Best 10-nm FinFET Parameter Values. - Xiaoliang Dai; Niraj K. Jha (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Using a Device State Library to Boost the Performance of TCAD Mixed-Mode Simulation. - Xiaoliang Dai; Niraj K. Jha (IEEE Trans. Very Large Scale Integr. Syst., 2017)

PinMe: Tracking a Smartphone User around the World. - Arsalan Mosenia; Xiaoliang Dai; Prateek Mittal; Niraj K. Jha (IEEE Trans. Multi Scale Comput. Syst., 2018)

ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. - Xiaoliang Dai; Peizhao Zhang; Bichen Wu; Hongxu Yin; Fei Sun; Yanghan Wang; Marat Dukhan; Yunqing Hu; Yiming Wu; Yangqing Jia; Peter Vajda; Matt Uyttendaele; et al. (CVPR, 2019)

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. - Bichen Wu; Xiaoliang Dai; Peizhao Zhang; Yanghan Wang; Fei Sun; Yiming Wu; Yuandong Tian; Peter Vajda; Yangqing Jia; Kurt Keutzer (CVPR, 2019)

STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods. - Shayan Hassantabar; Xiaoliang Dai; Niraj K. Jha (CoRR, 2019)

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. - Xiaoliang Dai; Hongxu Yin; Niraj K. Jha (IEEE Trans. Computers, 2019)

Synthesis of Efficient Neural Networks - Xiaoliang Dai (2019)

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. - 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 (CVPR, 2020)

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function. - Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Bichen Wu; Zijian He; Zhen Wei; Kan Chen; Yuandong Tian; Matthew Yu; Peter Vajda; Joseph E. Gonzalez (CoRR, 2020)

Visual Transformers: Token-based Image Representation and Processing for Computer Vision. - Bichen Wu; Chenfeng Xu; Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Masayoshi Tomizuka; Kurt Keutzer; Peter Vajda (CoRR, 2020)

Grow and Prune Compact, Fast, and Accurate LSTMs. - Xiaoliang Dai; Hongxu Yin; Niraj K. Jha (IEEE Trans. Computers, 2020)

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining. - Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Bichen Wu; Zijian He; Zhen Wei; Kan Chen; Yuandong Tian; Matthew Yu; Peter Vajda; Joseph E. Gonzalez (CVPR, 2021)

Rethinking the Self-Attention in Vision Transformers. - Kyungmin Kim 002; Bichen Wu; Xiaoliang Dai; Peizhao Zhang; Zhicheng Yan 001; Peter Vajda; Seon Joo Kim (CVPR Workshops, 2021)

FP-NAS: Fast Probabilistic Neural Architecture Search. - Zhicheng Yan 001; Xiaoliang Dai; Peizhao Zhang; Yuandong Tian; Bichen Wu; Matt Feiszli (CVPR, 2021)

Visual Transformers: Where Do Transformers Really Belong in Vision Models? - Bichen Wu; Chenfeng Xu; Xiaoliang Dai; Alvin Wan; Peizhao Zhang; Zhicheng Yan 001; Masayoshi Tomizuka; Joseph Gonzalez 001; Kurt Keutzer; Peter Vajda (ICCV, 2021)

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. - Bichen Wu; Chaojian Li; Hang Zhang 005; Xiaoliang Dai; Peizhao Zhang; Matthew Yu; Jialiang Wang 001; Yingyan Lin; Peter Vajda (CoRR, 2021)

Cross-Domain Object Detection via Adaptive Self-Training. - Yu-Jhe Li; Xiaoliang Dai; Chih-Yao Ma; Yen-Cheng Liu; Kan Chen; Bichen Wu; Zijian He; Kris Kitani; Peter Vajda (CoRR, 2021)

DiabDeep: Pervasive Diabetes Diagnosis Based on Wearable Medical Sensors and Efficient Neural Networks. - Hongxu Yin; Bilal Mukadam; Xiaoliang Dai; Niraj K. Jha (IEEE Trans. Emerg. Top. Comput., 2021)

YSUY: Your Smartphone Understands You - Using Machine Learning to Address Fundamental Human Needs. - Ayten Ozge Akmandor; Xiaoliang Dai; Niraj K. Jha (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Cross-Domain Adaptive Teacher for Object Detection. - Yu-Jhe Li; Xiaoliang Dai; Chih-Yao Ma; Yen-Cheng Liu; Kan Chen; Bichen Wu; Zijian He; Kris Kitani; Peter Vajda (CVPR, 2022)

Hydra Attention: Efficient Attention with Many Heads. - Daniel Bolya; Cheng-Yang Fu; Xiaoliang Dai; Peizhao Zhang; Judy Hoffman (ECCV Workshops (7), 2022)

Open-Set Semi-Supervised Object Detection. - Yen-Cheng Liu; Chih-Yao Ma; Xiaoliang Dai; Junjiao Tian; Peter Vajda; Zijian He; Zsolt Kira (ECCV (30), 2022)

3D-Aware Encoding for Style-based Neural Radiance Fields. - Yu-Jhe Li; Tao Xu; Bichen Wu; Ningyuan Zheng; Xiaoliang Dai; Albert Pumarola; Peizhao Zhang; Peter Vajda; Kris Kitani (CoRR, 2022)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. - Haoran You; Yunyang Xiong; Xiaoliang Dai; Bichen Wu; Peizhao Zhang; Haoqi Fan 001; Peter Vajda; Yingyan Lin (CoRR, 2022)

CURIOUS: Efficient Neural Architecture Search Based on a Performance Predictor and Evolutionary Search. - Shayan Hassantabar; Xiaoliang Dai; Niraj K. Jha (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Incremental Learning Using a Grow-and-Prune Paradigm With Efficient Neural Networks. - Xiaoliang Dai; Hongxu Yin; Niraj K. Jha (IEEE Trans. Emerg. Top. Comput., 2022)

Fully Dynamic Inference With Deep Neural Networks. - Wenhan Xia; Hongxu Yin; Xiaoliang Dai; Niraj K. Jha (IEEE Trans. Emerg. Top. Comput., 2022)

Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. - Yonggan Fu; Yuecheng Li; Chenghui Li; Jason M. Saragih; Peizhao Zhang; Xiaoliang Dai; Yingyan Celine Lin (CVPR, 2023)

Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. - Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; Matthias Nießner (CVPR, 2023)

Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. - Feng Liang; Bichen Wu; Xiaoliang Dai; Kunpeng Li; Yinan Zhao; Hang Zhang 005; Peizhao Zhang; Peter Vajda; Diana Marculescu (CVPR, 2023)

Trainable Projected Gradient Method for Robust Fine-Tuning. - Junjiao Tian; Xiaoliang Dai; Chih-Yao Ma; Zecheng He; Yen-Cheng Liu; Zsolt Kira (CVPR, 2023)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. - Haoran You; Yunyang Xiong; Xiaoliang Dai; Bichen Wu; Peizhao Zhang; Haoqi Fan 001; Peter Vajda; Yingyan Celine Lin (CVPR, 2023)

Token Merging: Your ViT But Faster. - Daniel Bolya; Cheng-Yang Fu; Xiaoliang Dai; Peizhao Zhang; Christoph Feichtenhofer; Judy Hoffman (ICLR, 2023)

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Feng Yan 001; Hai Li 001; Yiran Chen 001; Wei Wen (WWW, 2023)

Pruning Compact ConvNets for Efficient Inference. - Sayan Ghosh; Karthik Prasad; Xiaoliang Dai; Peizhao Zhang; Bichen Wu; Graham Cormode; Peter Vajda (CoRR, 2023)

Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. - Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; Matthias Nießner (CoRR, 2023)

Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations. - Zhihang Yu; Shu Wang 006; Yunqiang Zhu; Wen Yuan; Xiaoliang Dai; Zhiqiang Zou (CoRR, 2023)

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. - Xiaoliang Dai; Ji Hou; Chih-Yao Ma; Sam S. Tsai; Jialiang Wang 001; Rui Wang 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)

Efficient Quantization Strategies for Latent Diffusion Models. - Yuewei Yang; Xiaoliang Dai; Jialiang Wang 001; Peizhao Zhang; Hongbo Zhang (CoRR, 2023)

Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China. - Xiaoliang Dai; Yunqiang Zhu; Kai Sun 009; Qiang Zou; Shen Zhao; Weirong Li; Lei Hu; Shu Wang 006 (Remote. Sens., 2023)

Cache Me if You Can: Accelerating Diffusion Models through Block Caching. - Felix Wimbauer; Bichen Wu; Edgar Schönfeld; Xiaoliang Dai; Ji Hou; Zijian He; Artsiom Sanakoyeu; Peizhao Zhang; Sam S. Tsai; Jonas Kohler; Christian Rupprecht 001; Daniel Cremers; et al. (CVPR, 2024)

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. - 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 (CVPR, 2024)

Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. - Qilong Zhangli; Jindong Jiang; Di Liu 003; Licheng Yu; Xiaoliang Dai; Ankit Ramchandani; Guan Pang; Dimitris N. Metaxas; Praveen Krishnan (CVPR, 2024)

LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. - Bolin Lai; Xiaoliang Dai; Lawrence Chen 002; Guan Pang; James M. Rehg; Miao Liu 007 (ECCV (9), 2024)

SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. - Qilong Zhangli; Jindong Jiang; Di Liu 003; Licheng Yu; Xiaoliang Dai; Ankit Ramchandani; Guan Pang; Dimitris N. Metaxas; Praveen Krishnan (CoRR, 2024)

An Analysis on Quantizing Diffusion Transformers. - Yuewei Yang; Jialiang Wang 001; Xiaoliang Dai; Peizhao Zhang; Hongbo Zhang (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

DirectorLLM for Human-Centric Video Generation. - Kunpeng Song; Tingbo Hou; Zecheng He; Haoyu Ma; Jialiang Wang 001; Animesh Sinha; Sam S. Tsai; Yaqiao Luo; Xiaoliang Dai; Li Chen; Xide Xia; Peizhao Zhang; et al. (CoRR, 2024)

Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions. - Hu Jiang; Qiang Zou; Yunqiang Zhu; Yong Li; Bin Zhou; Wentao Zhou; Shunyu Yao 003; Xiaoliang Dai; Hongkun Yao; Siyu Chen (Environ. Model. Softw., 2024)

GeoTPE: A neural network model for geographical topic phrases extraction from literature based on BERT enhanced with relative position embedding. - Weirong Li; Kai Sun 009; Yunqiang Zhu; Fangyu Ding; Lei Hu; Xiaoliang Dai; Jia Song 001; Jie Yang 002; Lang Qian; Shu Wang 006 (Expert Syst. Appl., 2024)

An Investigation on Hardware-Aware Vision Transformer Scaling. - Chaojian Li; Kyungmin Kim 002; Bichen Wu; Peizhao Zhang; Hang Zhang 005; Xiaoliang Dai; Peter Vajda; Yingyan (Celine) Lin (ACM Trans. Embed. Comput. Syst., 2024)

DePNR: A DeBERTa-based deep learning model with complete position embedding for place name recognition from geographical literature. - Weirong Li; Kai Sun 009; Shu Wang 006; Yunqiang Zhu; Xiaoliang Dai; Lei Hu (Trans. GIS, 2024)

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. - Hongjie Wang 002; Chih-Yao Ma; Yen-Cheng Liu; Ji Hou; Tao Xu; Jialiang Wang 001; Felix Juefei-Xu; Yaqiao Luo; Peizhao Zhang; Tingbo Hou; Peter Vajda; Niraj K. Jha; et al. (CVPR, 2025)

Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. - Bolin Lai; Felix Juefei-Xu; Miao Liu 007; Xiaoliang Dai; Nikhil Mehta 002; Chenguang Zhu; Zeyi Huang; James M. Rehg; Sangmin Lee 001; Ning Zhang; Tong Xiao (CVPR, 2025)

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. - Feng Liang; Haoyu Ma; Zecheng He; Tingbo Hou; Ji Hou; Kunpeng Li; Xiaoliang Dai; Felix Juefei-Xu; Samaneh Azadi; Animesh Sinha; Peizhao Zhang; Peter Vajda; et al. (CVPR, 2025)

MoCha: Towards Movie-Grade Talking Character Synthesis. - Cong Wei 001; Bo Sun; Haoyu Ma; Ji Hou; Felix Juefei-Xu; Zecheng He; Xiaoliang Dai; Luxin Zhang; Kunpeng Li; Tingbo Hou; Animesh Sinha; Peter Vajda; et al. (CoRR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)

Towards Automated Model Design on Recommender Systems. - Tunhou Zhang; Dehua Cheng; Yuchen He; Zhengxing Chen; Xiaoliang Dai; Liang Xiong; Yudong Liu; Feng Cheng; Yufan Cao 002; Feng Yan 001; Hai Li 001; Yiran Chen 001; et al. (Trans. Recomm. Syst., 2025)