Better Exploiting OS-CNNs for Better Event Recognition in Images. - Limin Wang 002; Zhe Wang 013; Sheng Guo 005; Yu Qiao 001 (ICCV Workshops, 2015)

Local Color Contrastive Descriptor for Image Classification. - Sheng Guo 005; Weilin Huang; Yu Qiao 001 (CoRR, 2015)

Places205-VGGNet Models for Scene Recognition. - Limin Wang 002; Sheng Guo 005; Weilin Huang; Yu Qiao 001 (CoRR, 2015)

Locally-Supervised Deep Hybrid Model for Scene Recognition. - Sheng Guo 005; Weilin Huang; Yu Qiao 001 (CoRR, 2016)

Marine Animal Detection and Recognition with Advanced Deep Learning Models. - Peiqin Zhuang; Linjie Xing; Yanlin Liu; Sheng Guo 005; Yu Qiao 001 (CLEF (Working Notes), 2017)

Improving scale invariant feature transform with local color contrastive descriptor for image classification. - Sheng Guo 005; Weilin Huang; Yu Qiao 001 (J. Electronic Imaging, 2017)

Locally Supervised Deep Hybrid Model for Scene Recognition. - Sheng Guo 005; Weilin Huang; Limin Wang 002; Yu Qiao 001 (IEEE Trans. Image Process., 2017)

Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs. - Limin Wang 002; Sheng Guo 005; Weilin Huang; Yuanjun Xiong; Yu Qiao 001 (IEEE Trans. Image Process., 2017)

CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images. - Sheng Guo 005; Weilin Huang; Haozhi Zhang; Chenfan Zhuang; Dengke Dong; Matthew R. Scott; Dinglong Huang (ECCV (10), 2018)

Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification. - Luchen Liu; Sheng Guo 005; Weilin Huang; Matthew R. Scott (ICASSP, 2019)

Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. - Weifeng Ge; Weilin Huang; Sheng Guo 005; Matthew R. Scott (ICCV, 2019)

The iMaterialist Fashion Attribute Dataset. - Sheng Guo 005; Weilin Huang; Xiao Zhang; Prasanna Srikhanta; Yin Cui; Yuan Li; Hartwig Adam; Matthew R. Scott; Serge J. Belongie (ICCV Workshops, 2019)

Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation. - Weifeng Ge; Sheng Guo 005; Weilin Huang; Matthew R. Scott (CoRR, 2019)

Knowledge Integration Networks for Action Recognition. - Shiwen Zhang; Sheng Guo 005; Limin Wang 002; Weilin Huang; Matthew R. Scott (AAAI, 2020)

Wavelet Integrated CNNs for Noise-Robust Image Classification. - Qiufu Li; Linlin Shen; Sheng Guo 005; Zhihui Lai 001 (CVPR, 2020)

Representation Sharing for Fast Object Detector Search and Beyond. - Yujie Zhong; Zelu Deng; Sheng Guo 005; Matthew R. Scott; Weilin Huang (ECCV (19), 2020)

V4D: 4D Convolutional Neural Networks for Video-level Representation Learning. - Shiwen Zhang; Sheng Guo 005; Weilin Huang; Matthew R. Scott; Limin Wang 002 (ICLR, 2020)

Brain SegNet: 3D local refinement network for brain lesion segmentation. - Xiaojun Hu; Weijian Luo; Jiliang Hu; Sheng Guo 005; Weilin Huang; Matthew R. Scott; Roland Wiest; Michael Dahlweid; Mauricio Reyes 001 (BMC Medical Imaging, 2020)

Unchain the Search Space with Hierarchical Differentiable Architecture Search. - Guanting Liu; Yujie Zhong; Sheng Guo 005; Matthew R. Scott; Weilin Huang (AAAI, 2021)

A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark. - Zhenxi Zhu; Limin Wang 002; Sheng Guo 005; Gangshan Wu (BMVC, 2021)

Mutually-aware Sub-Graphs Differentiable Architecture Search. - Haoxian Tan; Sheng Guo 005; Yujie Zhong; Weilin Huang (CoRR, 2021)

WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification. - Qiufu Li; Linlin Shen; Sheng Guo 005; Zhihui Lai 001 (IEEE Trans. Image Process., 2021)

InsCLR: Improving Instance Retrieval with Self-Supervision. - Zelu Deng; Yujie Zhong; Sheng Guo 005; Weilin Huang (AAAI, 2022)

1st Place Solution for FungiCLEF 2022 Competition: Fine-grained Open-set Fungi Recognition. - Zihua Xiong; Yumeng Ruan; Yifei Hu; Yue Zhang; Yuke Zhu; Sheng Guo 005; Bing Han 017 (CLEF (Working Notes), 2022)

Cross-Architecture Self-supervised Video Representation Learning. - Sheng Guo 005; Zihua Xiong; Yujie Zhong; Limin Wang 002; Xiaobo Guo; Bing Han 017; Weilin Huang (CVPR, 2022)

AdaMixer: A Fast-Converging Query-Based Object Detector. - Ziteng Gao; Limin Wang 002; Bing Han 017; Sheng Guo 005 (CVPR, 2022)

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. - Wujiang Xu; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Xiaobo Guo; Bing Han; Junchi Yan; Yifei Xu (CoRR, 2022)

CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. - Jiange Yang; Sheng Guo 005; Gangshan Wu; Limin Wang 002 (AAAI, 2023)

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. - Wujiang Xu; Runzhong Wang; Xiaobo Guo; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Zhenfeng Zhu; Junchi Yan (ICASSP, 2023)

StageInteractor: Query-based Object Detector with Cross-stage Interaction. - Yao Teng; Haisong Liu; Sheng Guo 005; Limin Wang 002 (ICCV, 2023)

RotaTR: Detection Transformer for Dense and Rotated Object. - Yuke Zhu; Yumeng Ruan; Lei Yang; Sheng Guo 005 (CoRR, 2023)

Edge Wasserstein Distance Loss for Oriented Object Detection. - Yuke Zhu; Yumeng Ruan; Zihua Xiong; Sheng Guo 005 (CoRR, 2023)

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. - Naicheng Guo; Xiaolei Liu; Shaoshuai Li; Qiongxu Ma; Kaixin Gao; Bing Han 017; Lin Zheng 003; Sheng Guo 005; Xiaobo Guo (ACM Trans. Inf. Syst., 2023)

FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression. - Yuke Zhu; Chi Xie; Shuang Liang; Bo Zheng 007; Sheng Guo 005 (CoRR, 2024)

OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. - Jitai Hao; Yuke Zhu; Tian Wang; Jun Yu; Xin Xin 003; Bo Zheng 007; Zhaochun Ren; Sheng Guo 005 (ICLR, 2025)

Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information. - Yuke Zhu; Yue Zhang; Dongdong Liu; Chi Xie; Zihua Xiong; Bo Zheng 007; Sheng Guo 005 (ICLR, 2025)

PDPP: Projected Diffusion for Procedure Planning in Instructional Videos. - Hanlin Wang; Yilu Wu; Sheng Guo 005; Limin Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. - Weixun Wang; Shaopan Xiong; Gengru Chen; Wei Gao; Sheng Guo 005; Yancheng He; Ju Huang; Jiaheng Liu; Zhendong Li; Xiaoyang Li; Zichen Liu; Haizhou Zhao; et al. (CoRR, 2025)