Supply Chain Coordination Using Returns Policy with Sales Rebate and Penalty under Effort and Price Dependent Demand. - Yong He 004; Lindu Zhao; Ju He (HICSS, 2008)

Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method. - Ju He; Guobing Yang; Hanbing Rao; Ze-Rong Li; Xianping Ding; Yuzong Chen 002 (Artif. Intell. Medicine, 2012)

An automatic ear base temperature extraction method for top view piglet thermal image. - Mingzhou Lu; Ju He; Chao Chen; Cedric Okinda; Mingxia Shen; Longshen Liu; Wen Yao; Tomas Norton; Daniel Berckmans (Comput. Electron. Agric., 2018)

Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks. - Wei Hu 003; Gusi Te; Ju He; Dong Chen; Zongming Guo (CoRR, 2018)

Point Cloud Attribute Inpainting in Graph Spectral Domain. - Ju He; Zeqing Fu; Wei Hu 003; Zongming Guo (ICIP, 2019)

Analyzing hedyotis diffusa mechanisms of action from the genomics perspective. - Chengjun Hu; Ju He; Guozheng Li; Peipei Fang; Jiadong Xie 001; Youwei Ding; Yuqing Mao; Kongfa Hu (Comput. Methods Programs Biomed., 2019)

Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. - Adam Kortylewski; Ju He; Qing Liu 017; Alan L. Yuille (CVPR, 2020)

Identifying essential proteins in dynamic protein networks based on an improved h-index algorithm. - Caiyan Dai; Ju He; Kongfa Hu; Youwei Ding (BMC Medical Informatics Decis. Mak., 2020)

Compositional Generative Networks and Robustness to Perceptible Image Changes. - Adam Kortylewski; Ju He; Qing Liu 017; Christian Cosgrove; Chenglin Yang; Alan L. Yuille (CISS, 2021)

Semi-Synthesis: A Fast Way To Produce Effective Datasets for Stereo Matching. - Ju He; Enyu Zhou; Liusheng Sun; Fei Lei; Chenyang Liu; Wenxiu Sun (CVPR Workshops, 2021)

Research on Integrated Algorithm of Target Detection and Tracking. - Ju He; Xiaofeng Zhao; Junmin Zhao; Meibo Lv; Buhong Zhang (ICACS, 2021)

COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification. - Ju He; Adam Kortylewski; Alan L. Yuille (CoRR, 2021)

TransFG: A Transformer Architecture for Fine-grained Recognition. - Ju He; Jieneng Chen; Shuai Liu; Adam Kortylewski; Cheng Yang; Yutong Bai; Changhu Wang; Alan L. Yuille (CoRR, 2021)

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. - Ju He; Adam Kortylewski; Shaokang Yang; Shuai Liu; Cheng Yang; Changhu Wang; Alan L. Yuille (CoRR, 2021)

ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. - Bingchen Zhao; Shaozuo Yu; Wufei Ma; Mingxin Yu; Shenxiao Mei; Angtian Wang; Ju He; Alan L. Yuille; Adam Kortylewski (CoRR, 2021)

PartImageNet: A Large, High-Quality Dataset of Parts. - Ju He; Shuo Yang; Shaokang Yang; Adam Kortylewski; Xiaoding Yuan; Jieneng Chen; Shuai Liu; Cheng Yang; Alan L. Yuille (CoRR, 2021)

Understanding the Diversity of Urban-Rural Fringe Development in a Fast Urbanizing Region of China. - Guoyu Li; Yu Cao 006; Zhichao He; Ju He; Yu Cao 011; Jiayi Wang 001; Xiaoqian Fang (Remote. Sens., 2021)

TransFG: A Transformer Architecture for Fine-Grained Recognition. - Ju He; Jieneng Chen; Shuai Liu; Adam Kortylewski; Cheng Yang; Yutong Bai; Changhu Wang (AAAI, 2022)

TransMix: Attend to Mix for Vision Transformers. - Jieneng Chen; Shuyang Sun; Ju He; Philip H. S. Torr; Alan L. Yuille; Song Bai 001 (CVPR, 2022)

Learning from Temporal Gradient for Semi-supervised Action Recognition. - Junfei Xiao; Longlong Jing; Lin Zhang 040; Ju He; Qi She; Zongwei Zhou; Alan L. Yuille; Yingwei Li 002 (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)

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. - Bingchen Zhao; Shaozuo Yu; Wufei Ma; Mingxin Yu; Shenxiao Mei; Angtian Wang; Ju He; Alan L. Yuille; Adam Kortylewski (ECCV (8), 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)

An improved attention mechanism based YOLOv4 for small target detection at sea. - Ju He; Jianfeng Chen; Jintao Xu; Muhammad Saad Ayub (ICDIP, 2023)

A Dual Branch Segmentation Network for Forward-looking Sonar Image. - Ju He; Jianfeng Chen; Hu Xu (ICSPCC, 2023)

A Multi-Task Water Surface Visual Perception Network for Unmanned Surface Vehicles. - Hu Xu; Ziteng Geng; Ju He; Yuxin Shi; Yang Yu 040; Xiaomin Zhang (ICSPCC, 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)

CORL: Compositional Representation Learning for Few-Shot Classification. - Ju He; Adam Kortylewski; Alan L. Yuille (WACV, 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)

Small Target Detection Method Based on Low-Rank Sparse Matrix Factorization for Side-Scan Sonar Images. - Ju He; Jianfeng Chen; Hu Xu; Muhammad Saad Ayub (Remote. Sens., 2023)

An Improved YOLOv8 Network for Underwater Fisheye Image Object Detection. - Hongyu Wei; Jianfeng Chen; Ju He; Jisheng Bai; Han Yin (ICSPCC, 2024)

Efficient Large Multi-modal Models via Visual Context Compression. - Jieneng Chen; Luoxin Ye; Ju He; Zhaoyang Wang; Daniel Khashabi; Alan L. Yuille (NeurIPS, 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)

Learning Part Segmentation from Synthetic Animals. - Jiawei Peng; Ju He; Prakhar Kaushik; Zihao Xiao 001; Jiteng Mu; Alan L. Yuille (WACV (Workshops), 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)

LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression. - Jieneng Chen; Luoxin Ye; Ju He; Zhaoyang Wang; Daniel Khashabi; Alan L. Yuille (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)

SonarNet: Hybrid CNN-Transformer-HOG Framework and Multifeature Fusion Mechanism for Forward-Looking Sonar Image Segmentation. - Ju He; Jianfeng Chen; Hu Xu; Yang Yu 040 (IEEE Trans. Geosci. Remote. Sens., 2024)

Efficient SonarNet: Lightweight CNN-Grafted Vision Transformer Embedding Network for Forward-Looking Sonar Image Segmentation. - Ju He; Hu Xu; Shaohong Li; Yang Yu 040 (IEEE Trans. Geosci. Remote. Sens., 2024)

Real-Time Volumetric Perception for Unmanned Surface Vehicles Through Fusion of Radar and Camera. - Hu Xu; Xiaomin Zhang; Ju He; Yang Yu 040; Yuwei Cheng (IEEE Trans. Instrum. Meas., 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)

Surround-View Water Surface BEV Segmentation for Autonomous Surface Vehicles: Dataset, Baseline and Hybrid-BEV Network. - Hu Xu; Xiaomin Zhang; Ju He; Ziteng Geng; Changsong Pang; Yang Yu 040 (IEEE Trans. Intell. Veh., 2024)

SFUDNet: Underwater object detection via spatial-frequency domain modulation with mixture of experts. - Hu Xu; Ju He; Changsong Pang; Yang Yu (Knowl. Based Syst., 2025)

Reverberation Suppression and Multilayer Context Aware for Underwater Forward-Looking Sonar Image Segmentation. - Ju He; Yang Yu 040; Hu Xu (IEEE Trans. Instrum. Meas., 2025)

Multistage Fusion Object Detection With Marine Radar and Camera in Complex Maritime Context. - Hu Xu; Yang Yu 040; Ju He; Changsong Pang; Xiaomin Zhang (IEEE Trans. Instrum. Meas., 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)

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)