Qihang Yu

85 papers A* 22A 1C 1Misc 1Journal 52Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autoregressive Image Generation with Masked Bit Modeling.
CoRR
Qihang Yu, Qihao Liu, Ju He, Xinyang Zhang, Yang Liu, Liang-Chieh Chen, Xi Chen
2026 J jnl
MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation.
CoRR
Qihang Yu, Kairui Fu, Zhaocheng Du, Yuxuan Si, Kaiyuan Li, Weihao Zhao, Zhicheng Zhang, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Shengyu Zhang, Kun Kuang, Fei Wu
2026 J jnl
ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling.
Trans. Mach. Learn. Res.
Qihao Liu, Ju He, Qihang Yu, Liang-Chieh Chen, Alan L. Yuille
2026 J jnl
Research on real-time guided spraying method for industrial robots based on digital twin and human-machine collaboration.
Artif. Intell. Eng. Des. Anal. Manuf.
Qihang Yu, Dianliang Wu, Hanzhong Xu, Yue Zhao
2026 A* conf
ThinkRec: Thinking-based recommendation via LLM.
WWW
Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng, Fei Wu
2025 J jnl
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation.
CoRR
Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2025 J jnl
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation.
CoRR
Xueqing Deng, Qihang Yu, Ali Athar, Chenglin Yang, Linjie Yang, Xiaojie Jin, Xiaohui Shen, Liang-Chieh Chen
2025 J jnl
Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens.
CoRR
Dongwon Kim, Ju He, Qihang Yu, Chenglin Yang, Xiaohui Shen, Suha Kwak, Liang-Chieh Chen
2025 J jnl
Dictionary-based Framework for Interpretable and Consistent Object Parsing.
CoRR
Tiezheng Zhang, Qihang Yu, Alan L. Yuille, Ju He
2025 J jnl
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting.
Trans. Mach. Learn. Res.
Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2025 A* conf
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching.
ICML
Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2025 J jnl
FlowTok: Flowing Seamlessly Across Text and Image Tokens.
CoRR
Ju He, Qihang Yu, Qihao Liu, Liang-Chieh Chen
2025 J jnl
Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers.
CoRR
Sucheng Ren, Qihang Yu, Ju He, Alan L. Yuille, Liang-Chieh Chen
2025 J jnl
ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction.
CoRR
Qihao Liu, Ju He, Qihang Yu, Liang-Chieh Chen, Alan L. Yuille
2025 J jnl
ThinkRec: Thinking-based recommendation via LLM.
CoRR
Qihang Yu, Kairui Fu, Shengyu Zhang, Zheqi Lv, Fan Wu, Fei Wu
2024 J jnl
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories.
Trans. Mach. Learn. Res.
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen
2024 A* conf
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization.
NeurIPS
Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
2024 J jnl
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models.
CoRR
Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
2024 A* conf
An Image is Worth 32 Tokens for Reconstruction and Generation.
NeurIPS
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024 J jnl
An Image is Worth 32 Tokens for Reconstruction and Generation.
CoRR
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024 Misc conf
An intelligent detection method for assembly based on multi-model cascade.
ICMLC
Hanzhong Xu, Dianliang Wu, Kai Zou, Qihang Yu, Haiwen Yu
2024 A* conf
COCONut: Modernizing COCO Segmentation.
CVPR
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
2024 J jnl
COCONut: Modernizing COCO Segmentation.
CoRR
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
2024 J jnl
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting.
CoRR
Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2024 J jnl
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching.
CoRR
Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2024 A* conf
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting.
ACM Multimedia
Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu
2024 J jnl
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting.
CoRR
Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu
2024 J jnl
MaskBit: Embedding-free Image Generation via Bit Tokens.
CoRR
Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024 J jnl
MaskBit: Embedding-free Image Generation via Bit Tokens.
Trans. Mach. Learn. Res.
Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024 J jnl
Randomized Autoregressive Visual Generation.
CoRR
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2024 — conf
Towards Open-Ended Visual Recognition with Large Language Models.
ECCV (14)
Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
2024 J jnl
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers.
Medical Image Anal.
Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou
2024 A* conf
ViTamin: Designing Scalable Vision Models in the Vision-Language Era.
CVPR
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2024 J jnl
ViTamin: Designing Scalable Vision Models in the Vision-Language Era.
CoRR
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2024 A conf
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation.
WACV
Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2023 J jnl
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers.
CoRR
Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou
2023 J jnl
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision.
CoRR
Lucas Beyer, Bo Wan, Gagan Madan, Filip Pavetic, Andreas Steiner, Alexander Kolesnikov, André Susano Pinto, Emanuele Bugliarello, Xiao Wang, Qihang Yu, Liang-Chieh Chen, Xiaohua Zhai
2023 A* conf
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
ICCV
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang
2023 A* conf
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation.
CVPR
Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille
2023 J jnl
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation.
CoRR
Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille
2023 A* conf
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.
NeurIPS
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2023 J jnl
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.
CoRR
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2023 A* conf
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models.
ICLR
Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen
2023 J jnl
MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation.
CoRR
Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2023 A* conf
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation.
NeurIPS
Shuyang Sun, Weijun Wang, Andrew G. Howard, Qihang Yu, Philip H. S. Torr, Liang-Chieh Chen
2023 J jnl
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation.
CoRR
Shuyang Sun, Weijun Wang, Qihang Yu, Andrew G. Howard, Philip H. S. Torr, Liang-Chieh Chen
2023 J jnl
Towards Open-Ended Visual Recognition with Large Language Model.
CoRR
Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
2023 J jnl
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang
2023 J jnl
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation.
CoRR
Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2022 A* conf
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation.
CVPR
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022 J jnl
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation.
CoRR
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022 J jnl
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models.
CoRR
Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen
2022 — conf
PartImageNet: A Large, High-Quality Dataset of Parts.
ECCV (8)
Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille
2022 A* conf
TubeFormer-DeepLab: Video Mask Transformer.
CVPR
Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen
2022 J jnl
TubeFormer-DeepLab: Video Mask Transformer.
CoRR
Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In-So Kweon, Liang-Chieh Chen
2022 — conf
k-means Mask Transformer.
ECCV (29)
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022 J jnl
k-means Mask Transformer.
CoRR
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2021 A* conf
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks.
AAAI
Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille
2021 J jnl
DeepLab2: A TensorFlow Library for Deep Labeling.
CoRR
Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen
2021 A* conf
Glance-and-Gaze Vision Transformer.
NeurIPS
Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen
2021 J jnl
Glance-and-Gaze Vision Transformer.
CoRR
Qihang Yu, Yingda Xia, Yutong Bai, Yongyi Lu, Alan L. Yuille, Wei Shen
2021 A* conf
Mask Guided Matting via Progressive Refinement Network.
CVPR
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille
2021 A* conf
Shape-Texture Debiased Neural Network Training.
ICLR
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
2021 J jnl
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
CoRR
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou
2020 A* conf
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation.
CVPR
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
2020 J jnl
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network.
CoRR
Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille
2020 J jnl
Can Temporal Information Help with Contrastive Self-Supervised Learning?
CoRR
Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille
2020 J jnl
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble.
CoRR
Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Alan L. Yuille
2020 — conf
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble.
MICCAI (3)
Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
2020 J jnl
Mask Guided Matting via Progressive Refinement Network.
CoRR
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille
2020 A* conf
Neural Architecture Search for Lightweight Non-Local Networks.
CVPR
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
2020 J jnl
Neural Architecture Search for Lightweight Non-Local Networks.
CoRR
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
2020 J jnl
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.
IEEE Trans. Medical Imaging
Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang, Elliot K. Fishman, Alan L. Yuille
2020 J jnl
Shape-Texture Debiased Neural Network Training.
CoRR
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
2020 A* conf
When Radiology Report Generation Meets Knowledge Graph.
AAAI
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
2020 J jnl
When Radiology Report Generation Meets Knowledge Graph.
CoRR
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
2019 — ch.
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans.
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Yuyin Zhou, Qihang Yu, Yan Wang, Lingxi Xie, Wei Shen, Elliot K. Fishman, Alan L. Yuille
2019 J jnl
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation.
CoRR
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
2019 J jnl
Thickened 2D Networks for 3D Medical Image Segmentation.
CoRR
Qihang Yu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille
2018 A* conf
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation.
CVPR
Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
2017 J jnl
Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation.
CoRR
Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
2016 C conf
A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm.
ISCAS
Qihang Yu, Yongqiang Ma, Badong Chen, José Carlos Príncipe, Nanning Zheng, Pengju Ren
2015 — conf
A 128-way FPGA platform for the acceleration of KLMS algorithm.
ASP-DAC
Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren
2015 — conf
A real-time permutation entropy computation for EEG signals.
ASP-DAC
Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren
2015 — conf
A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm.
DSP
Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren