A 128-way FPGA platform for the acceleration of KLMS algorithm. - Xiaowei Ren; Qihang Yu; Badong Chen; Nanning Zheng 001; Pengju Ren (ASP-DAC, 2015)

A real-time permutation entropy computation for EEG signals. - Xiaowei Ren; Qihang Yu; Badong Chen; Nanning Zheng 001; Pengju Ren (ASP-DAC, 2015)

A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm. - Xiaowei Ren; Qihang Yu; Badong Chen; Nanning Zheng 001; Pengju Ren (DSP, 2015)

A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm. - Qihang Yu; Yongqiang Ma; Badong Chen; José Carlos Príncipe; Nanning Zheng 001; Pengju Ren (ISCAS, 2016)

Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. - Qihang Yu; Lingxi Xie; Yan Wang 033; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (CoRR, 2017)

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. - Qihang Yu; Lingxi Xie; Yan Wang 033; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (CVPR, 2018)

2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans. - Yuyin Zhou; Qihang Yu; Yan Wang 033; Lingxi Xie; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Thickened 2D Networks for 3D Medical Image Segmentation. - Qihang Yu; Yingda Xia; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (CoRR, 2019)

When Radiology Report Generation Meets Knowledge Graph. - Yixiao Zhang 001; Xiaosong Wang 001; Ziyue Xu 001; Qihang Yu; Alan L. Yuille; Daguang Xu (AAAI, 2020)

Neural Architecture Search for Lightweight Non-Local Networks. - Yingwei Li 002; Xiaojie Jin; Jieru Mei; Xiaochen Lian; Linjie Yang; Cihang Xie; Qihang Yu; Yuyin Zhou; Song Bai 001; Alan L. Yuille (CVPR, 2020)

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. - Qihang Yu; Dong Yang 005; Holger Roth; Yutong Bai; Yixiao Zhang 001; Alan L. Yuille; Daguang Xu (CVPR, 2020)

Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (MICCAI (3), 2020)

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Alan L. Yuille (CoRR, 2020)

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. - Qihang Yu; Yingwei Li 002; Jieru Mei; Yuyin Zhou; Alan L. Yuille (CoRR, 2020)

Can Temporal Information Help with Contrastive Self-Supervised Learning? - Yutong Bai; Haoqi Fan 001; Ishan Misra; Ganesh Venkatesh; Yongyi Lu; Yuyin Zhou; Qihang Yu; Vikas Chandra; Alan L. Yuille (CoRR, 2020)

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. - Lingxi Xie; Qihang Yu; Yuyin Zhou; Yan Wang 033; Elliot K. Fishman; Alan L. Yuille (IEEE Trans. Medical Imaging, 2020)

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. - Qihang Yu; Yingwei Li 002; Jieru Mei; Yuyin Zhou; Alan L. Yuille (AAAI, 2021)

Mask Guided Matting via Progressive Refinement Network. - Qihang Yu; Jianming Zhang 001; He Zhang 004; Yilin Wang 002; Zhe Lin 001; Ning Xu 007; Yutong Bai; Alan L. Yuille (CVPR, 2021)

Shape-Texture Debiased Neural Network Training. - Yingwei Li 002; Qihang Yu; Mingxing Tan; Jieru Mei; Peng Tang; Wei Shen 002; Alan L. Yuille; Cihang Xie (ICLR, 2021)

Glance-and-Gaze Vision Transformer. - Qihang Yu; Yingda Xia; Yutong Bai; Yongyi Lu; Alan L. Yuille; Wei Shen 002 (NeurIPS, 2021)

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Jieneng Chen; Yongyi Lu; Qihang Yu; Xiangde Luo; Ehsan Adeli 001; Yan Wang 033; Le Lu 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

DeepLab2: A TensorFlow Library for Deep Labeling. - 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; et al. (CoRR, 2021)

TubeFormer-DeepLab: Video Mask Transformer. - Dahun Kim; Jun Xie; Huiyu Wang; Siyuan Qiao; Qihang Yu; Hong-Seok Kim; Hartwig Adam; In So Kweon; Liang-Chieh Chen (CVPR, 2022)

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. - Qihang Yu; Huiyu Wang; Dahun Kim; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2022)

PartImageNet: A Large, High-Quality Dataset of Parts. - Ju He; Shuo Yang; Shaokang Yang; Adam Kortylewski; Xiaoding Yuan; Jieneng Chen; Shuai Liu; Cheng Yang; Qihang Yu; Alan L. Yuille (ECCV (8), 2022)

k-means Mask Transformer. - Qihang Yu; Huiyu Wang; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (29), 2022)

Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. - Ju He; Jieneng Chen; Ming-Xian Lin; Qihang Yu; Alan L. Yuille (CVPR, 2023)

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (ICCV, 2023)

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. - Chenglin Yang; Siyuan Qiao; Qihang Yu; Xiaoding Yuan; Yukun Zhu; Alan L. Yuille; Hartwig Adam; Liang-Chieh Chen (ICLR, 2023)

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. - Shuyang Sun; Weijun Wang; Andrew G. Howard; Qihang Yu; Philip H. S. Torr; Liang-Chieh Chen (NeurIPS, 2023)

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. - Qihang Yu; Ju He; Xueqing Deng; Xiaohui Shen; Liang-Chieh Chen (NeurIPS, 2023)

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (CoRR, 2023)

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. - Lucas Beyer; Bo Wan; Gagan Madan; Filip Pavetic; Andreas Steiner 001; Alexander Kolesnikov 003; André Susano Pinto; Emanuele Bugliarello; Xiao Wang 038; Qihang Yu; Liang-Chieh Chen; Xiaohua Zhai (CoRR, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

Towards Open-Ended Visual Recognition with Large Language Model. - Qihang Yu; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2023)

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. - Ju He; Qihang Yu; Inkyu Shin; Xueqing Deng; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2023)

ViTamin: Designing Scalable Vision Models in the Vision-Language Era. - Jieneng Chen; Qihang Yu; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2024)

COCONut: Modernizing COCO Segmentation. - Xueqing Deng; Qihang Yu; Peng Wang; Xiaohui Shen; Liang-Chieh Chen (CVPR, 2024)

Towards Open-Ended Visual Recognition with Large Language Models. - Qihang Yu; Xiaohui Shen; Liang-Chieh Chen (ECCV (14), 2024)

An intelligent detection method for assembly based on multi-model cascade. - Hanzhong Xu; Dianliang Wu; Kai Zou; Qihang Yu; Haiwen Yu (ICMLC, 2024)

GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. - Hongyun Yu; Zhan Qu; Qihang Yu; Jianchuan Chen; Zhonghua Jiang 007; Zhiwen Chen 002; Shengyu Zhang 001; Jimin Xu; Fei Wu 001; Chengfei Lv; Gang Yu (ACM Multimedia, 2024)

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization. - Qihao Liu; Zhanpeng Zeng; Ju He; Qihang Yu; Xiaohui Shen; Liang-Chieh Chen (NeurIPS, 2024)

An Image is Worth 32 Tokens for Reconstruction and Generation. - Qihang Yu; Mark Weber; Xueqing Deng; Xiaohui Shen; Daniel Cremers; Liang-Chieh Chen (NeurIPS, 2024)

Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. - Inkyu Shin; Dahun Kim; Qihang Yu; Jun Xie; Hong-Seok Kim; Bradley Green; In So Kweon; Kuk-Jin Yoon; Liang-Chieh Chen (WACV, 2024)

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models. - Qihao Liu; Zhanpeng Zeng; Ju He; Qihang Yu; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2024)

Randomized Autoregressive Visual Generation. - Qihang Yu; Ju He; Xueqing Deng; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2024)

FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. - Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2024)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 2024)

A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. - Ju He; Qihang Yu; Inkyu Shin; Xueqing Deng; Alan L. Yuille; Xiaohui Shen; Liang-Chieh Chen (Trans. Mach. Learn. Res., 2024)

MaskBit: Embedding-free Image Generation via Bit Tokens. - Mark Weber; Lijun Yu; Qihang Yu; Xueqing Deng; Xiaohui Shen; Daniel Cremers; Liang-Chieh Chen (Trans. Mach. Learn. Res., 2024)

Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting. - Inkyu Shin; Qihang Yu; Xiaohui Shen; In So Kweon; Kuk-Jin Yoon; Liang-Chieh Chen (Trans. Mach. Learn. Res., 2025)

Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens. - Dongwon Kim; Ju He; Qihang Yu; Chenglin Yang; Xiaohui Shen; Suha Kwak; Liang-Chieh Chen (CoRR, 2025)

COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation. - Xueqing Deng; Qihang Yu; Ali Athar; Chenglin Yang; Linjie Yang; Xiaojie Jin; Xiaohui Shen; Liang-Chieh Chen (CoRR, 2025)

Dictionary-based Framework for Interpretable and Consistent Object Parsing. - Tiezheng Zhang; Qihang Yu; Alan L. Yuille; Ju He (CoRR, 2025)

Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation. - Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2025)

FlowTok: Flowing Seamlessly Across Text and Image Tokens. - Ju He; Qihang Yu; Qihao Liu; Liang-Chieh Chen (CoRR, 2025)

ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction. - Qihao Liu; Ju He; Qihang Yu; Liang-Chieh Chen; Alan L. Yuille (CoRR, 2025)

Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers. - Sucheng Ren; Qihang Yu; Ju He; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2025)

ThinkRec: Thinking-based recommendation via LLM. - Qihang Yu; Kairui Fu; Shengyu Zhang 001; Zheqi Lv; Fan Wu 006; Fei Wu 001 (CoRR, 2025)