Rank-based pooling for deep convolutional neural networks. - Zenglin Shi; Yangdong Ye; Yunpeng Wu (Neural Networks, 2016)

Crowd Counting With Deep Negative Correlation Learning. - Zenglin Shi; Le Zhang 001; Yun Liu 011; Xiaofeng Cao; Yangdong Ye; Ming-Ming Cheng; Guoyan Zheng (CVPR, 2018)

Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. - Zenglin Shi; Guodong Zeng; Le Zhang 001; Xiahai Zhuang; Lei Li 020; Guang Yang 006; Guoyan Zheng (MICCAI (4), 2018)

基于卷积特征的非平衡人群密度估计方法 (Unbalanced Crowd Density Estimation Based on Convolutional Features). - Jia Qu; Zenglin Shi; Yangdong Ye (计算机科学, 2018)

Multiscale Multitask Deep NetVLAD for Crowd Counting. - Zenglin Shi; Le Zhang 001; Yibo Sun; Yangdong Ye (IEEE Trans. Ind. Informatics, 2018)

Collective Density Clustering for Coherent Motion Detection. - Yunpeng Wu; Yangdong Ye; Chenyang Zhao; Zenglin Shi (IEEE Trans. Multim., 2018)

Counting With Focus for Free. - Zenglin Shi; Pascal Mettes; Cees Snoek (ICCV, 2019)

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (CoRR, 2019)

Robust Regression via Deep Negative Correlation Learning. - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (CoRR, 2019)

Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. - Xiaofeng Cao 002; Baozhi Qiu; Xiangli Li; Zenglin Shi; Guandong Xu; Jianliang Xu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Social Fabric: Tubelet Compositions for Video Relation Detection. - Shuo Chen 010; Zenglin Shi; Pascal Mettes; Cees G. M. Snoek (ICCV, 2021)

Frequency-Supervised MR-to-CT Image Synthesis. - Zenglin Shi; Pascal Mettes; Guoyan Zheng; Cees Snoek (DGM4MICCAI/DALI@MICCAI, 2021)

Ordered or Orderless: A Revisit for Video Based Person Re-Identification. - Le Zhang 001; Zenglin Shi; Joey Tianyi Zhou; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Zeng Zeng; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Nonlinear Regression via Deep Negative Correlation Learning. - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Correction to "Nonlinear Regression via Deep Negative Correlation Learning". - Le Zhang 001; Zenglin Shi; Ming-Ming Cheng; Yun Liu 011; Jia-Wang Bian; Joey Tianyi Zhou; Guoyan Zheng; Zeng Zeng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Unsharp Mask Guided Filtering. - Zenglin Shi; Yunlu Chen; Efstratios Gavves; Pascal Mettes; Cees G. M. Snoek (IEEE Trans. Image Process., 2021)

Non-local Attention Improves Description Generation for Retinal Images. - Jia-Hong Huang; Ting-Wei Wu; Chao-Han Huck Yang; Zenglin Shi; I-Hung Lin; Jesper Tegnér; Marcel Worring (WACV, 2022)

On the Robustness, Generalization, and Forgetting of Shape-Texture Debiased Continual Learning. - Zenglin Shi; Ying Sun 001; Joo Hwee Lim; Mengmi Zhang (CoRR, 2022)

Reason from Context with Self-supervised Learning. - Xiao Liu; Ankur Sikarwar; Joo Hwee Lim; Gabriel Kreiman; Zenglin Shi; Mengmi Zhang (CoRR, 2022)

On Measuring and Controlling the Spectral Bias of the Deep Image Prior. - Zenglin Shi; Pascal Mettes; Subhransu Maji; Cees G. M. Snoek (Int. J. Comput. Vis., 2022)

DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering. - Shizhe Hu; Zenglin Shi; Yangdong Ye (IEEE Trans. Cybern., 2022)

Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images. - Mingshu Wang; Zheyan Chen; Helena Hang Rong; Lan Mu; Pengyu Zhu; Zenglin Shi (Comput. Environ. Urban Syst., 2022)

DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction. - Cong Wang; Xiaofeng Cao; Lanzhe Guo; Zenglin Shi (ECML/PKDD (5), 2023)

Approximately Learning Quantum Automata. - Wenjing Chu; Shuo Chen 010; Marcello M. Bonsangue; Zenglin Shi (TASE, 2023)

Training-free Object Counting with Prompts. - Zenglin Shi; Ying Sun 001; Mengmi Zhang (WACV, 2024)

Densely Distilling Cumulative Knowledge for Continual Learning. - Zenglin Shi; Pei Liu; Tong Su; Yunpeng Wu; Kuien Liu; Yu Song; Meng Wang (CoRR, 2024)

Learning Frequency-Aware Dynamic Transformers for All-In-One Image Restoration. - Zenglin Shi; Tong Su; Pei Liu; Yunpeng Wu; Le Zhang 001; Meng Wang 001 (CoRR, 2024)

Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models. - Zhen Zeng; Leijiang Gu; Xun Yang 001; Zhangling Duan; Zenglin Shi; Meng Wang 001 (CoRR, 2024)

Separable Mixture of Low-Rank Adaptation for Continual Visual Instruction Tuning. - Ziqi Wang; Chang Che; Qi Wang; Yangyang Li; Zenglin Shi; Meng Wang (CoRR, 2024)

Focus for Free in Density-Based Counting. - Zenglin Shi; Pascal Mettes; Cees G. M. Snoek (Int. J. Comput. Vis., 2024)

Target-Guided Diffusion Models for Unpaired Cross-Modality Medical Image Translation. - Yimin Luo; Qinyu Yang; Ziyi Liu 010; Zenglin Shi; Weimin Huang 002; Guoyan Zheng; Jun Cheng 003 (IEEE J. Biomed. Health Informatics, 2024)

Multiview Clustering With Propagating Information Bottleneck. - Shizhe Hu; Zenglin Shi; Xiaoqiang Yan; Zhengzheng Lou; Yangdong Ye (IEEE Trans. Neural Networks Learn. Syst., 2024)

Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs. - Haowen Pan; Xiaozhi Wang; Yixin Cao 002; Zenglin Shi; Xun Yang 001; Juanzi Li; Meng Wang 001 (ICLR, 2025)

Using Causality for Enhanced Prediction of Web Traffic Time Series. - Chang Tian; Mingzhe Xing; Zenglin Shi; Matthew B. Blaschko; Yinliang Yue; Marie-Francine Moens (CoRR, 2025)

Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal. - Rongxin Liao; Feng Li 037; Yanyan Wei; Zenglin Shi; Le Zhang 001; Huihui Bai 001; Meng Wang 001 (CoRR, 2025)

MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices. - Hailong Yan; Ao Li 007; Xiangtao Zhang; Zhe Liu 019; Zenglin Shi; Ce Zhu; Le Zhang 001 (CoRR, 2025)

LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning. - Chang Che; Ziqi Wang; Pengwan Yang; Qi Wang; Hui Ma; Zenglin Shi (CoRR, 2025)

In-Context Examples Matter: Improving Emotion Recognition in Conversation with Instruction Tuning. - Hui Ma; Bo Zhang; Jinpeng Hu; Zenglin Shi (CoRR, 2025)

Unveiling the Tapestry: The Interplay of Generalization and Forgetting in Continual Learning. - Zenglin Shi; Jie Jing 001; Ying Sun 001; Joo-Hwee Lim; Mengmi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)