Bichen Wu - RankMe

98 papers A* 25A 3B 1C 1Journal 55Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Fast Depression Detection Method Based on AKRCC-KNN Model. J. Adv. Comput. Intell. Intell. Informatics Jing Kan, Wei Tong, Bichen Wu, Yongchun Ma, Kewei Chen
2024	A*	`conf`	AVID: Any-Length Video Inpainting with Diffusion Model. CVPR Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
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	A*	`conf`	ControlRoom3D: Room Generation Using Semantic Proxy Rooms. CVPR Jonas Schult, Sam S. Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou
2024	A*	`conf`	Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CVPR Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
2024	A*	`conf`	FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CVPR Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2024	A*	`conf`	MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers. CVPR Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu, Zhipeng Fan, Yuchao Gu, Wenliang Zhao, Lior Shapira, Xiaohui Xie
2024	—	`conf`	MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. 3DV Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin
2024	A*	`conf`	VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. CVPR Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang
2023	J	`jnl`	AVID: Any-Length Video Inpainting with Diffusion Model. CoRR Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
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`	ControlRoom3D: Room Generation using Semantic Proxy Rooms. CoRR Jonas Schult, Sam S. Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou
2023	J	`jnl`	Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CoRR Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
2023	J	`jnl`	FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CoRR Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
2023	J	`jnl`	MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers. CoRR Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu, Zhipeng Fan, Yuchao Gu, Wenliang Zhao, Lior Shapira, Xiaohui Xie
2023	J	`jnl`	MixRT: Mixed Neural Representations For Real-Time NeRF Rendering. CoRR Chaojian Li, Bichen Wu, Peter Vajda, Yingyan Lin
2023	A*	`conf`	NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. ICCV Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2023	J	`jnl`	NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. CoRR Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
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	J	`jnl`	VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. CoRR Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang
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`	A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer
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	A*	`conf`	Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation. ICLR Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda
2022	—	`conf`	INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. ECCV Workshops (3) Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
2022	J	`jnl`	INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. CoRR Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda
2022	—	`conf`	Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. ECCV (37) Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
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
2021	J	`jnl`	A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
2021	A	`conf`	CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek
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`	Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation. CoRR Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021	—	`conf`	Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. CVPR Workshops Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021	J	`jnl`	Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation. CoRR Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez
2021	J	`jnl`	Differentiable NAS Framework and Application to Ads CTR Prediction. CoRR Ravi Krishna, Aravind Kalaiah, Bichen Wu, Maxim Naumov, Dheevatsa Mudigere, Misha Smelyanskiy, Kurt Keutzer
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	J	`jnl`	Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets. CoRR Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2021	J	`jnl`	Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning. CoRR Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu
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`	Unbiased Teacher for Semi-Supervised Object Detection. ICLR Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
2021	J	`jnl`	Unbiased Teacher for Semi-Supervised Object Detection. CoRR Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
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	A	`conf`	You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. IROS Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2021	J	`jnl`	You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. CoRR Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2021	A*	`conf`	ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
2020	J	`jnl`	A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. CoRR Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer
2020	J	`jnl`	Algorithm-hardware Co-design for Deformable Convolution. CoRR Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek
2020	J	`jnl`	CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. CoRR Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek
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`	FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge. CoRR Bichen Wu, Qing He, Peizhao Zhang, Thilo Köhler, Kurt Keutzer, Peter Vajda
2020	J	`jnl`	FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
2020	—	`conf`	SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. ECCV (28) Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2020	J	`jnl`	SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. CoRR Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka
2020	J	`jnl`	SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis. CoRR Bohan Zhai, Tianren Gao, Flora Xue, Daniel Rothchild, Bichen Wu, Joseph E. Gonzalez, Kurt Keutzer
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
2020	J	`jnl`	ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. CoRR Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
2019	—	`conf`	Algorithm-hardware Co-design for Deformable Convolution. EMC2@NeurIPS Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek
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`	Co-design of deep neural nets and neural net accelerators for embedded vision applications. IBM J. Res. Dev. Alon Amid, Kiseok Kwon, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer
2019	J	`jnl`	Domain-Aware Dynamic Networks. CoRR Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer
2019	J	`jnl`	Efficient Deep Neural Networks. CoRR Bichen Wu
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	—	`conf`	LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. ITSC Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer
2019	J	`jnl`	LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. CoRR Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer
2019	A*	`conf`	SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. ICRA Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer
2019	A	`conf`	Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. FPGA Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
2018	B	`conf`	A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. ICMR Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
2018	J	`jnl`	A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. CoRR Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
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`	Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications. CoRR Kiseok Kwon, Alon Amid, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer
2018	A*	`conf`	Co-design of deep neural nets and neural net accelerators for embedded vision applications. DAC Kiseok Kwon, Alon Amid, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer
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`	Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search. CoRR Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer
2018	A*	`conf`	Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CVPR Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
2018	—	`conf`	SqueezeNext: Hardware-Aware Neural Network Design. CVPR Workshops Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer
2018	J	`jnl`	SqueezeNext: Hardware-Aware Neural Network Design. CoRR Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer
2018	A*	`conf`	SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. ICRA Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer
2018	J	`jnl`	SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. CoRR Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer
2018	J	`jnl`	Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. CoRR Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
2018	J	`jnl`	Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld. CoRR Sicheng Zhao, Bichen Wu, Joseph Gonzalez, Sanjit A. Seshia, Kurt Keutzer
2017	C	`conf`	Shallow Networks for High-accuracy Road Object-detection. VEHITS Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
2017	J	`jnl`	Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CoRR Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
2017	—	`conf`	SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Workshops Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
2017	J	`jnl`	SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. CoRR Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer
2016	J	`jnl`	Shallow Networks for High-Accuracy Road Object-Detection. CoRR Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer
2016	J	`jnl`	SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CoRR Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer
2015	—	`conf`	MAPP: The Berkeley Model and Algorithm Prototyping Platform. CICC Tianshi Wang, Aadithya V. Karthik, Bichen Wu, Jian Yao, Jaijeet Roychowdhury
2015	—	`conf`	Poster: MAPP: The Berkeley Model and Algorithm Prototyping Platform. ICSE (2) Tianshi Wang, Aadithya V. Karthik, Bichen Wu, Jaijeet Roychowdhury
2014	—	`conf`	Efficient per-element distortion contribution analysis via Harmonic Balance adjoints. CICC Bichen Wu, Jaijeet Roychowdhury
2013	A*	`conf`	Time-domain segmentation based massively parallel simulation for ADCs. DAC Zuochang Ye, Bichen Wu, Song Han, Yang Li