Xiaoliang Dai - RankMe

90 papers A* 20Journal 64Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMs. CoRR Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Meng Dong, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He
2026	J	`jnl`	UniT: Unified Multimodal Chain-of-Thought Test-time Scaling. CoRR Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei Yang, Chunyuan Li, Junzhe Sun, Chu Wang, Serena Yeung-Levy, Felix Juefei-Xu
2025	J	`jnl`	EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms. IEEE Trans. Geosci. Remote. Sens. Jin Chen, Shu Wang, Yunqiang Zhu, Fuzhou Duan, Xiaoliang Dai
2025	J	`jnl`	Improving Chain-of-Thought Efficiency for Autoregressive Image Generation. CoRR Zeqi Gu, Markos Georgopoulos, Xiaoliang Dai, Marjan Ghazvininejad, Chu Wang, Felix Juefei-Xu, Kunpeng Li, Yujun Shi, Zecheng He, Zijian He, Jiawei Zhou, Abe Davis, Jialiang Wang
2025	A*	`conf`	LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. CVPR Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu, Ji Hou, Tao Xu, Jialiang Wang, Felix Juefei-Xu, Yaqiao Luo, Peizhao Zhang, Tingbo Hou, Peter Vajda, Niraj K. Jha, Xiaoliang Dai
2025	J	`jnl`	MoCha: Towards Movie-Grade Talking Character Synthesis. CoRR Cong Wei, Bo Sun, Haoyu Ma, Ji Hou, Felix Juefei-Xu, Zecheng He, Xiaoliang Dai, Luxin Zhang, Kunpeng Li, Tingbo Hou, Animesh Sinha, Peter Vajda, Wenhu Chen
2025	A*	`conf`	Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. CVPR 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, Diana Marculescu
2025	J	`jnl`	Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. CoRR 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, Diana Marculescu
2025	J	`jnl`	PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation. CoRR Yuanhao Cai, Kunpeng Li, Menglin Jia, Jialiang Wang, Junzhe Sun, Feng Liang, Weifeng Chen, Felix Juefei-Xu, Chu Wang, Ali K. Thabet, Xiaoliang Dai, Xuan Ju, Alan L. Yuille, Ji Hou
2025	J	`jnl`	Review, framework, and future perspectives of Geographic Knowledge Graph (GeoKG) quality assessment. Geo spatial Inf. Sci. Shu Wang, Peiyuan Qiu, Yunqiang Zhu, Jie Yang, Peng Peng, Yan Bai, Gengze Li, Xiaoliang Dai, Yanmin Qi
2025	J	`jnl`	Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. CoRR Xu Ma, Peize Sun, Haoyu Ma, Hao Tang, Chih-Yao Ma, Jialiang Wang, Kunpeng Li, Xiaoliang Dai, Yujun Shi, Xuan Ju, Yushi Hu, Artsiom Sanakoyeu, Felix Juefei-Xu, Ji Hou, Junjiao Tian, Tao Xu, Tingbo Hou, Yen-Cheng Liu, Zecheng He, Zijian He, Matt Feiszli, Peizhao Zhang, Peter Vajda, Sam S. Tsai, Yun Fu
2025	J	`jnl`	Towards Automated Model Design on Recommender Systems. Trans. Recomm. Syst. Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2025	A*	`conf`	Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. CVPR Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao
2025	J	`jnl`	Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism. Int. J. Digit. Earth Qiang Wang, Zhihang Yu, Shu Wang, Yunqiang Zhu, Xiaoliang Dai, Zhiqiang Zou, Weiming Huang, Christophe Claramunt
2024	J	`jnl`	An Analysis on Quantizing Diffusion Transformers. CoRR Yuewei Yang, Jialiang Wang, Xiaoliang Dai, Peizhao Zhang, Hongbo Zhang
2024	J	`jnl`	An Investigation on Hardware-Aware Vision Transformer Scaling. ACM Trans. Embed. Comput. Syst. Chaojian Li, Kyungmin Kim, Bichen Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Peter Vajda, Yingyan (Celine) Lin
2024	A*	`conf`	Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CVPR 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
2024	J	`jnl`	DePNR: A DeBERTa-based deep learning model with complete position embedding for place name recognition from geographical literature. Trans. GIS Weirong Li, Kai Sun, Shu Wang, Yunqiang Zhu, Xiaoliang Dai, Lei Hu
2024	J	`jnl`	Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions. Environ. Model. Softw. Hu Jiang, Qiang Zou, Yunqiang Zhu, Yong Li, Bin Zhou, Wentao Zhou, Shunyu Yao, Xiaoliang Dai, Hongkun Yao, Siyu Chen
2024	J	`jnl`	DirectorLLM for Human-Centric Video Generation. CoRR Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma, Jialiang Wang, Animesh Sinha, Sam S. Tsai, Yaqiao Luo, Xiaoliang Dai, Li Chen, Xide Xia, Peizhao Zhang, Peter Vajda, Ahmed Elgammal, Felix Juefei-Xu
2024	A*	`conf`	EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CVPR 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
2024	J	`jnl`	GeoTPE: A neural network model for geographical topic phrases extraction from literature based on BERT enhanced with relative position embedding. Expert Syst. Appl. Weirong Li, Kai Sun, Yunqiang Zhu, Fangyu Ding, Lei Hu, Xiaoliang Dai, Jia Song, Jie Yang, Lang Qian, Shu Wang
2024	—	`conf`	LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. ECCV (9) Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu
2024	A*	`conf`	Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CVPR Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
2024	J	`jnl`	LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. CoRR Hongjie Wang, Chih-Yao Ma, Yen-Cheng Liu, Ji Hou, Tao Xu, Jialiang Wang, Felix Juefei-Xu, Yaqiao Luo, Peizhao Zhang, Tingbo Hou, Peter Vajda, Niraj K. Jha, Xiaoliang Dai
2024	J	`jnl`	SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CoRR Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
2024	J	`jnl`	Towards Automated Model Design on Recommender Systems. CoRR Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2024	J	`jnl`	Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation. CoRR Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao
2023	A*	`conf`	Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CVPR Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Celine Lin
2023	J	`jnl`	Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence. CoRR Yonggan Fu, Yuecheng Li, Chenghui Li, Jason M. Saragih, Peizhao Zhang, Xiaoliang Dai, Yingyan Lin
2023	J	`jnl`	Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR 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
2023	A*	`conf`	Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. CVPR Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin
2023	J	`jnl`	Efficient Quantization Strategies for Latent Diffusion Models. CoRR Yuewei Yang, Xiaoliang Dai, Jialiang Wang, Peizhao Zhang, Hongbo Zhang
2023	J	`jnl`	EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CoRR 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
2023	J	`jnl`	Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR 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
2023	J	`jnl`	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. Xiaoliang Dai, Yunqiang Zhu, Kai Sun, Qiang Zou, Shen Zhao, Weirong Li, Lei Hu, Shu Wang
2023	J	`jnl`	LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. CoRR Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M. Rehg, Miao Liu
2023	J	`jnl`	Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. CoRR Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner
2023	A*	`conf`	Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. CVPR Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner
2023	A*	`conf`	NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2023	A*	`conf`	Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CVPR Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2023	J	`jnl`	Pruning Compact ConvNets for Efficient Inference. CoRR Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda
2023	A*	`conf`	Token Merging: Your ViT But Faster. ICLR Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
2023	A*	`conf`	Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
2023	J	`jnl`	Trainable Projected Gradient Method for Robust Fine-tuning. CoRR Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira
2023	J	`jnl`	Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations. CoRR Zhihang Yu, Shu Wang, Yunqiang Zhu, Wen Yuan, Xiaoliang Dai, Zhiqiang Zou
2022	J	`jnl`	3D-Aware Encoding for Style-based Neural Radiance Fields. CoRR Yu-Jhe Li, Tao Xu, Bichen Wu, Ningyuan Zheng, Xiaoliang Dai, Albert Pumarola, Peizhao Zhang, Peter Vajda, Kris Kitani
2022	J	`jnl`	CURIOUS: Efficient Neural Architecture Search Based on a Performance Predictor and Evolutionary Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha
2022	J	`jnl`	Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. CoRR Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin
2022	A*	`conf`	Cross-Domain Adaptive Teacher for Object Detection. CVPR Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
2022	J	`jnl`	Fully Dynamic Inference With Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
2022	—	`conf`	Hydra Attention: Efficient Attention with Many Heads. ECCV Workshops (7) Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
2022	J	`jnl`	Hydra Attention: Efficient Attention with Many Heads. CoRR Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Judy Hoffman
2022	J	`jnl`	Incremental Learning Using a Grow-and-Prune Paradigm With Efficient Neural Networks. IEEE Trans. Emerg. Top. Comput. Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
2022	J	`jnl`	NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2022	—	`conf`	Open-Set Semi-Supervised Object Detection. ECCV (30) Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
2022	J	`jnl`	Open-Set Semi-Supervised Object Detection. CoRR Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira
2022	J	`jnl`	Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CoRR Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2022	J	`jnl`	Token Merging: Your ViT But Faster. CoRR Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
2021	J	`jnl`	Cross-Domain Object Detection via Adaptive Self-Training. CoRR Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
2021	J	`jnl`	DiabDeep: Pervasive Diabetes Diagnosis Based on Wearable Medical Sensors and Efficient Neural Networks. IEEE Trans. Emerg. Top. Comput. Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
2021	A*	`conf`	FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining. CVPR Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
2021	J	`jnl`	FBNetV5: Neural Architecture Search for Multiple Tasks in One Run. CoRR Bichen Wu, Chaojian Li, Hang Zhang, Xiaoliang Dai, Peizhao Zhang, Matthew Yu, Jialiang Wang, Yingyan Lin, Peter Vajda
2021	A*	`conf`	FP-NAS: Fast Probabilistic Neural Architecture Search. CVPR Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
2021	—	`conf`	Rethinking the Self-Attention in Vision Transformers. CVPR Workshops Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim
2021	A*	`conf`	Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
2021	J	`jnl`	YSUY: Your Smartphone Understands You - Using Machine Learning to Address Fundamental Human Needs. IEEE Trans. Syst. Man Cybern. Syst. Ayten Ozge Akmandor, Xiaoliang Dai, Niraj K. Jha
2020	A*	`conf`	FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CVPR 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
2020	J	`jnl`	FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. CoRR 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
2020	J	`jnl`	FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function. CoRR Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez
2020	J	`jnl`	FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
2020	J	`jnl`	Fully Dynamic Inference with Deep Neural Networks. CoRR Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
2020	J	`jnl`	Grow and Prune Compact, Fast, and Accurate LSTMs. IEEE Trans. Computers Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
2020	J	`jnl`	Visual Transformers: Token-based Image Representation and Processing for Computer Vision. CoRR Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda
2019	A*	`conf`	ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. CVPR 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
2019	J	`jnl`	DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks. CoRR Hongxu Yin, Bilal Mukadam, Xiaoliang Dai, Niraj K. Jha
2019	A*	`conf`	FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CVPR Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2019	J	`jnl`	Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. CoRR Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
2019	J	`jnl`	NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. IEEE Trans. Computers Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
2019	J	`jnl`	STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods. CoRR Shayan Hassantabar, Xiaoliang Dai, Niraj K. Jha
2019	—	`—`	Synthesis of Efficient Neural Networks Xiaoliang Dai
2018	J	`jnl`	ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation. CoRR 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
2018	J	`jnl`	FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CoRR Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
2018	J	`jnl`	Grow and Prune Compact, Fast, and Accurate LSTMs. CoRR Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
2018	J	`jnl`	PinMe: Tracking a Smartphone User around the World. CoRR Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha
2018	J	`jnl`	PinMe: Tracking a Smartphone User around the World. IEEE Trans. Multi Scale Comput. Syst. Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha
2017	J	`jnl`	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. Xiaoliang Dai, Niraj K. Jha
2017	J	`jnl`	NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm. CoRR Xiaoliang Dai, Hongxu Yin, Niraj K. Jha
2017	J	`jnl`	Using a Device State Library to Boost the Performance of TCAD Mixed-Mode Simulation. IEEE Trans. Very Large Scale Integr. Syst. Xiaoliang Dai, Niraj K. Jha
2008	—	`conf`	The Common Problems on the Peer-to-Peer Multicast Overlay Networks. CSSE (3) Feng Yang, Xiaoliang Dai, Ruzhi Xu