A 0.964mW digital hearing aid system. - Peng Qiao; Henk Corporaal; Menno Lindwer (DATE, 2011)

Depth enhancement via non-local means filter. - Ke Yang 004; Yong Dou; Xiaoyang Chen; Shaohe Lv; Peng Qiao (ICACI, 2015)

An Improved Many Worlds Quantum Genetic Algorithm. - Dan Li; Junsuo Zhao; Heng Zhang; Peng Qiao; Jiayu Zhuang (ICNC, 2015)

Image Denoising via Multi-scale Nonlinear Diffusion Models. - WenSen Feng; Peng Qiao; Xuanyang Xi; Yunjin Chen (CoRR, 2016)

Platform-Adaptive High-Throughput Surveillance Video Condensation on Heterogeneous Processor Clusters. - Peng Qiao; Teng Li 010; Yong Dou; Yuanwu Lei; Hongbing Luo; Chi Jin (APPT, 2017)

Learning Non-local Image Diffusion for Image Denoising. - Peng Qiao; Yong Dou; WenSen Feng; Rongchun Li; Yunjin Chen (ACM Multimedia, 2017)

Learning Non-local Image Diffusion for Image Denoising. - Peng Qiao; Yong Dou; WenSen Feng; Yunjin Chen (CoRR, 2017)

TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization. - Ke Yang 004; Peng Qiao; Dongsheng Li 001; Shaohe Lv; Yong Dou (CoRR, 2017)

Image Denoising via Multiscale Nonlinear Diffusion Models. - WenSen Feng; Peng Qiao; Xuanyang Xi; Yunjin Chen (SIAM J. Imaging Sci., 2017)

Variational single image interpolation with time-varying regularization. - Peng Qiao; Yunjin Chen; Yong Dou (Signal Process. Image Commun., 2017)

Exploring Temporal Preservation Networks for Precise Temporal Action Localization. - Ke Yang 004; Peng Qiao; Dongsheng Li 001; Shaohe Lv; Yong Dou (AAAI, 2018)

Learning Generic Diffusion Processes for Image Restoration. - Peng Qiao; Yong Dou; Yunjin Chen; WenSen Feng (BMVC, 2018)

Deep Image Clustering Using Convolutional Autoencoder Embedding with Inception-Like Block. - Qiang Wang 006; Jiaqing Xu; Rongchun Li; Peng Qiao; Ke Yang 004; Shijie Li 002; Yong Dou (ICIP, 2018)

Temporal Pyramid Relation Network for Video-Based Gesture Recognition. - Ke Yang 004; Rongchun Li; Peng Qiao; Qiang Wang 006; Dongsheng Li 001; Yong Dou (ICIP, 2018)

Visual Tree Convolutional Neural Network in Image Classification. - Yuntao Liu 004; Yong Dou; Ruochun Jin; Peng Qiao (ICPR, 2018)

Spatial Attention Network for Head Detection. - Rongchun Li; Biao Zhang; Zhen Huang 006; Xiang Zhao 002; Peng Qiao; Yong Dou (PCM (2), 2018)

Frame Segmentation Networks for Temporal Action Localization. - Ke Yang 004; Peng Qiao; Qiang Wang 006; Shijie Li 002; Xin Niu 002; Dongsheng Li 001; Yong Dou (PCM (2), 2018)

Fast and Accurate Poisson Denoising With Trainable Nonlinear Diffusion. - WenSen Feng; Peng Qiao; Yunjin Chen (IEEE Trans. Cybern., 2018)

Trust Degree can Preserve Community Structure on Co-evolving Complex Networks in Spatial Generalized Prisoner's Dilemma Game. - Jiayu Zhuang; Xi Yong; Junsuo Zhao; Peng Qiao (Wirel. Pers. Commun., 2018)

Spatial Attention Network for Few-Shot Learning. - Xianhao He; Peng Qiao; Yong Dou; Xin Niu 002 (ICANN (2), 2019)

Fast Nonlocal Diffusion by Stacking Local Filters for Image Denoising. - Peng Qiao; Weichu Sun; Yong Dou; Rongchun Li (ICPCSEE (2), 2019)

Two-Direction Dynamic Three-Way Decision Algorithm Based on PS-Rough Set. - Chunying Zhang; Xiaoze Feng; Liya Wang; Hao Qin; Lu Liu; Peng Qiao; Ruiyan Qiao; Jing Ren 009 (ISKE, 2019)

Rhythmical Index of Ictal High Frequency Oscillations in Stereo-Electroencephalograph from Epileptic Patients. - Chunsheng Li; Peng Qiao; Guanqian Yuan (NER, 2019)

Aircraft Segmentation Based On Deep Learning framework : from extreme points to remote sensing image segmentation. - Lei Zhao 013; Peng Qiao; Yong Dou (SSCI, 2019)

IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition. - Ke Yang 004; Jingjing Fu; Xun Guo; Yan Lu 001; Peng Qiao; Dongsheng Li 001; Yong Dou (CoRR, 2019)

Exploring frame segmentation networks for temporal action localization. - Ke Yang 004; Xiaolong Shen; Peng Qiao; Shijie Li 002; Dongsheng Li 001; Yong Dou (J. Vis. Commun. Image Represent., 2019)

NeuronFlow: A Hybrid Neuromorphic - Dataflow Processor Architecture for AI Workloads. - Orlando Moreira; Amirreza Yousefzadeh; Fabian Chersi; Ajay Kapoor; Rik-Jan Zwartenkot; Peng Qiao; Gokturk Cinserin; Mina A. Khoei; Menno Lindwer; Jonathan Tapson (AICAS, 2020)

Rethinking Segmentation Guidance for Weakly Supervised Object Detection. - Ke Yang 004; Peng Zhang 035; Peng Qiao; Zhiyuan Wang; Huadong Dai; Tianlong Shen; Dongsheng Li 001; Yong Dou (CVPR Workshops, 2020)

NeuronFlow: a neuromorphic processor architecture for Live AI applications. - Orlando Moreira; Amirreza Yousefzadeh; Fabian Chersi; Gokturk Cinserin; Rik-Jan Zwartenkot; Ajay Kapoor; Peng Qiao; Peter Kievits; Mina A. Khoei; Louis Rouillard; Aimee Ferouge; Jonathan Tapson; et al. (DATE, 2020)

Attentional Fused Temporal Transformation Network for Video Action Recognition. - Ke Yang 004; Zhiyuan Wang; Huadong Dai; Tianlong Shen; Peng Qiao; Xin Niu 002; Jie Jiang; Dongsheng Li 001; Yong Dou (ICASSP, 2020)

Objectness Consistent Representation for Weakly Supervised Object Detection. - Ke Yang 004; Peng Zhang 035; Peng Qiao; Zhiyuan Wang; Dongsheng Li 001; Yong Dou (ACM Multimedia, 2020)

Beyond top-N accuracy indicator: a comprehensive evaluation indicator of CNN models in image classification. - Yuntao Liu 004; Yong Dou; Peng Qiao (IET Comput. Vis., 2020)

Global-Localized Agent Graph Convolution for Multi-Agent Reinforcement Learning. - Yuntao Liu 004; Yong Dou; Siqi Shen; Peng Qiao (ICASSP, 2021)

Graphcomm: A Graph Neural Network Based Method for Multi-Agent Reinforcement Learning. - Siqi Shen; Yongquan Fu; Huayou Su; Hengyue Pan; Peng Qiao; Yong Dou; Cheng Wang 003 (ICASSP, 2021)

Ddper: Decentralized Distributed Prioritized Experience Replay. - Sidun Liu; Peng Qiao; Yong Dou; Rongchun Li (ICME, 2021)

Research on Key Technologies of Digital Multimedia Passive Forensics. - Xiaoning Lv; Yuli Xia; Junsuo Zhao; Peng Qiao; Bo Zhu (ICSAI, 2021)

Multi-target Trajectory Analysis based on Extended Perception Domain and Skeleton Extraction. - Bo Zhu; Fangjie Zhong; Xiaoning Lv; Peng Qiao (ICSAI, 2021)

An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System. - Chen Chen 006; Bin Liu 070; Shaohua Wan 001; Peng Qiao; Qingqi Pei (IEEE Trans. Intell. Transp. Syst., 2021)

Weight-Aware Graph Contrastive Learning. - Hang Gao 004; Jiangmeng Li; Peng Qiao; Changwen Zheng (ICANN (2), 2022)

Qrelation: an Agent Relation-Based Approach for Multi-Agent Reinforcement Learning Value Function Factorization. - Siqi Shen; Jun Liu; Mengwei Qiu; Weiquan Liu; Cheng Wang 003; Yongquan Fu; Qinglin Wang; Peng Qiao (ICASSP, 2022)

Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization. - Sidun Liu; Peng Qiao; Yong Dou; Ruochun Jin (ICME, 2022)

MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System. - Peng Qiao; Zhouyu He; Rongchun Li; Jingfei Jiang; Yong Dou; Dongsheng Li 001 (ICPADS, 2022)

Multi-Outputs Is All You Need For Deblur. - Sidun Liu; Peng Qiao; Yong Dou (CoRR, 2022)

An automatic learning rate decay strategy for stochastic gradient descent optimization methods in neural networks. - Kang Wang; Yong Dou; Tao Sun 005; Peng Qiao; Dong Wen 004 (Int. J. Intell. Syst., 2022)

Fixed-Size Objects Encoding for Visual Relationship Detection. - Hengyue Pan; Xin Niu 002; Siqi Shen; Yixin Chen 004; Peng Qiao; Zhen Huang 006; Dongsheng Li 001 (Neural Process. Lett., 2022)

High Speed Railway Fastener Defect Detection by Using Improved YoLoX-Nano Model. - Jun Hu; Peng Qiao; Haohao Lv; Liang Yang; Aiguo Ouyang; Yong He 005; Yande Liu (Sensors, 2022)

Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification. - Yuntao Liu 004; Yong Dou; Ruochun Jin; Rongchun Li; Peng Qiao (Vis. Comput., 2022)

Pipeline-based Optimization Method for Large-Scale End-to-End Inference. - Caili Gao; Yong Dou; Peng Qiao (AI2A, 2023)

MANet: An Architecture Adaptive Method for Sparse Matrix Format Selection. - Zhenglun Sun; Peng Qiao; Yong Dou (ICA3PP (2), 2023)

VPPT: Visual Pre-Trained Prompt Tuning Framework for Few-Shot Image Classification. - Zhao Song 011; Ke Yang 004; Naiyang Guan; Junjie Zhu; Peng Qiao; Qingyong Hu (ICASSP, 2023)

Spatial and Frequency Domains Inconsistency Learning for Face Forgery Detection. - Caili Gao; Peng Qiao; Yong Dou; Qisheng Xu; Xifu Qian; Wenyu Li (ICONIP (12), 2023)

HAAN: Human Action Aware Network for Multi-label Temporal Action Detection. - Zikai Gao; Peng Qiao; Yong Dou (ACM Multimedia, 2023)

Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration. - Peng Qiao; Sidun Liu; Tao Sun 005; Ke Yang 004; Yong Dou (CoRR, 2023)

PVP: Pre-trained Visual Parameter-Efficient Tuning. - Zhao Song 011; Ke Yang 004; Naiyang Guan; Junjie Zhu; Peng Qiao; Qingyong Hu (CoRR, 2023)

Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz. - Tao Sun 005; Congliang Chen; Peng Qiao; Li Shen 008; Xinwang Liu 002; Dongsheng Li 001 (CoRR, 2023)

Image Registration Algorithm for Remote Sensing Images Based on Pixel Location Information. - Xuming Zhang; Yao Zhou; Peng Qiao; Xiaoning Lv; Jimin Li; Tianyu Du; Yiming Cai (Remote. Sens., 2023)

A Connectivity-Enhanced Multi-Task Learning based on Anatomical Priors for 3D Class-Balanced Pulmonary Airway Segmentation. - Yan Jia 001; Yong Dou; Peng Qiao; Yuqing Cheng; Kele Xu; Zhouyu He (BIBM, 2024)

SAM-NeRF: NeRF-Based 3D Instance Segmentation with Segment Anything Model. - Xi Wang; Linglin Xie; Peng Qiao; Yong Dou; Sidun Liu; Wenyu Li; Kaijun Yang (ICANN (2), 2024)

Dual Dreamer: Extending Single-View Dreamer with Few Shot of Complementary Views. - Ziteng Zhang; Peng Qiao; Dou Yong; Sidun Liu; Wenyu Li; Li Cao; Luo Chen (ICANN (3), 2024)

KnowMIM: a Self-supervised Pre-training Framework Based on Knowledge-Guided Masked Image Modeling for Retinal Vessel Segmentation. - Jiuyuan Zhu; Wei Chen; Chen Li; Tianci Xun; Chunjiao Tan; Weiwei Zheng; Yingqi Xu; Peng Qiao (ICANN (8), 2024)

Adapter-Based Incremental Learning for Face Forgery Detection. - Caili Gao; Qisheng Xu; Peng Qiao; Kele Xu; Xifu Qian; Yong Dou (ICASSP, 2024)

Improving Motion Deblur By Multi-Output Learning. - Sidun Liu; Peng Qiao; Yong Dou (ICASSP, 2024)

ParaSurRe: Parallel Surface Reconstruction with No Pose Prior. - Wenyu Li; Zongxin Ye; Sidun Liu; Ziteng Zhang; Xi Wang; Peng Qiao; Yong Dou (ICME, 2024)

FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning. - Meihan Wu; Li Li 064; Tao Chang; Peng Qiao; Cui Miao; Jie Zhou 032; Jingnan Wang; Xiaodong Wang 002 (IWQoS, 2024)

AbsGS: Recovering Fine Details in 3D Gaussian Splatting. - Zongxin Ye; Wenyu Li; Sidun Liu; Peng Qiao; Yong Dou (ACM Multimedia, 2024)

End-To-End High-Quality Transformer Object Detection Model Applied to Human Head Detection. - Rongchun Li; Zhen Zhou; Peng Qiao; Jingfei Jiang (PRCV (12), 2024)

ER-SFM: Efficient and Robust Cluster-Based Structure from Motion. - Zongxin Ye; Wenyu Li; Sidun Liu; Peng Qiao; Yong Dou (PRCV (6), 2024)

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features. - Hengyue Pan; Yixin Chen 004; Zhiliang Tian; Peng Qiao; Linbo Qiao; Dongsheng Li 001 (CoRR, 2024)

DistGrid: Scalable Scene Reconstruction with Distributed Multi-resolution Hash Grid. - Sidun Liu; Peng Qiao; Zongxin Ye; Wenyu Li; Yong Dou (CoRR, 2024)

VoxNeuS: Enhancing Voxel-Based Neural Surface Reconstruction via Gradient Interpolation. - Sidun Liu; Peng Qiao; Zongxin Ye; Wenyu Li; Yong Dou (CoRR, 2024)

Introducing diminutive causal structure into graph representation learning. - Hang Gao 004; Peng Qiao; Yifan Jin; Fengge Wu; Jiangmeng Li; Changwen Zheng (Knowl. Based Syst., 2024)

Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera. - Jinghai Xu; Suya Zhang; Haoran Jing; Craig M. Hancock; Peng Qiao; Nan Shen; Karen Banahene Blay (Remote. Sens., 2024)

Bootstrap contrastive domain adaptation. - Yan Jia 001; Yuqing Cheng; Peng Qiao (Memetic Comput., 2024)

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies. - Zhouyu He; Peng Qiao; Rongchun Li; Yong Dou; Yusong Tan (AAAI, 2025)

Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction. - Biao Hu; Zhen Huang; Minghao Hu; Pinglv Yang; Peng Qiao; Yong Dou; Zhilin Wang (COLING, 2025)

A Counterfactual Ultrasound Anti-Interference Self-Supervised Network for B-mode Ultrasound Tongue Extraction. - Yan Jia 001; Yuqing Cheng; Kele Xu; Yong Dou; Peng Qiao; Zhouyu He (ICASSP, 2025)

Scaling Bioacoustic Signal Pre-training with Million Samples Via Mask-Modeling. - Xuyao Deng; Tianjiao Wan; Kele Xu; Tian Gao; Peng Qiao; Dawei Feng; Yong Dou (ICASSP, 2025)

MonoIR: Inpainting and Reconstruction for Monocular Endoscope Deformation Scenes. - Ziteng Zhang; Wenyu Li; Sidun Liu; Peng Qiao; Yong Dou (ICASSP, 2025)

AnchorTalk: High-Fidelity Upper-Body Talking Human Generation From Speech. - Yali Cai; Peng Qiao; Dongsheng Li 001 (ICMR, 2025)

Segment Anything for Visual Bird Sound Denoising. - Chenxi Zhou; Tianjiao Wan; Kele Xu; Peng Qiao; Yong Dou (IEEE Signal Process. Lett., 2025)

Regist3R: Incremental Registration with Stereo Foundation Model. - Sidun Liu; Wenyu Li; Peng Qiao; Yong Dou (CoRR, 2025)

Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction. - Wenyu Li; Sidun Liu; Peng Qiao; Yong Dou (CoRR, 2025)

Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey. - Zhihong Liu; Xin Xu 001; Peng Qiao; Dongsheng Li 001 (ACM Comput. Surv., 2025)