14-bit pipeline-SAR ADC for image sensor readout circuits. - Gengyun Wang; Can Peng; Tianzhao Liu; Cheng Ma; Ning Ding; Yuchun Chang (IMSE, 2015)

A Consistent Hashing Based Data Redistribution Algorithm. - Xiang Fu 002; Can Peng; Weihong Han (IScIDE (2), 2015)

Accurate recovery of internet traffic data under dynamic measurements. - Kun Xie 001; Can Peng; Xin Wang 001; Gaogang Xie; Jigang Wen (INFOCOM, 2017)

Accurate Recovery of Internet Traffic Data Under Variable Rate Measurements. - Kun Xie 001; Can Peng; Xin Wang 001; Gaogang Xie; Jigang Wen; Jiannong Cao 001; Dafang Zhang 001; Zheng Qin 001 (IEEE/ACM Trans. Netw., 2018)

To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? - Can Peng; Kun Zhao 001; Arnold Wiliem; Teng Zhang 004; Peter Hobson; Anthony Jennings; Brian C. Lovell (DICTA, 2019)

Address Randomization for Dynamic Memory Allocators on the GPU. - Can Peng; Chenlin Huang; Daokun Hu; Bang Di; Jianhua Sun 002; Hao Chen 002; Xionghu Zhong (HPCC/SmartCity/DSS, 2019)

Unrelated Parallel-Machine Scheduling with Maintenance Activities and Rejection Penalties for Minimizing Total Cost. - Xiaona Yang; Can Peng; Lei Jin; Qiangyi Li (Int. J. Autom. Technol., 2019)

Faster ILOD: Incremental learning for object detectors based on faster RCNN. - Can Peng; Kun Zhao 001; Brian C. Lovell (Pattern Recognit. Lett., 2020)

Deep Adaptive Few Example Learning for Microscopy Image Cell Counting. - Meng Li; Kun Zhao 001; Can Peng; Peter Hobson; Tony Jennings; Brian C. Lovell (DICTA, 2021)

Scalable Bayesian Deep Learning with Kernel Seed Networks. - Sam Maksoud; Kun Zhao 001; Can Peng; Brian C. Lovell (CoRR, 2021)

FaceCook: Face Generation Based on Linear Scaling Factors. - Tianren Wang; Can Peng; Teng Zhang 004; Brian C. Lovell (CoRR, 2021)

SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation. - Can Peng; Kun Zhao 001; Sam Maksoud; Meng Li; Brian C. Lovell (Comput. Vis. Image Underst., 2021)

Obtaining sustainable competitive advantage through collaborative dual innovation: empirical analysis based on mature enterprises in eastern China. - Ruixue Li; Can Peng; Bonwoo Koo; Ge Zhang; Hong Yang (Technol. Anal. Strateg. Manag., 2021)

Few-Shot Class-Incremental Learning from an Open-Set Perspective. - Can Peng; Kun Zhao 001; Tianren Wang; Meng Li; Brian C. Lovell (ECCV (25), 2022)

Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation. - Meng Li; Chaoyi Li; Can Peng; Brian C. Lovell (CoRR, 2022)

Incremental learning for object detection - Can Peng (2022)

End to End Generative Meta Curriculum Learning for Medical Data Augmentation. - Meng Li; Chaoyi Li; Can Peng; Liangchen Liu; Brian C. Lovell (ICIP, 2023)

Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification. - Chaoyi Li; Meng Li; Can Peng; Brian C. Lovell (MICCAI (5), 2023)

DIODE: Dilatable Incremental Object Detection. - Can Peng; Kun Zhao 001; Sam Maksoud; Tianren Wang; Brian C. Lovell (Pattern Recognit., 2023)

How does ambidextrous leadership influence technological innovation performance? An empirical study based on high-tech enterprises. - Hong Yang; Can Peng; Gang Du; Bing Xie; Jin S. Cheng (Technol. Anal. Strateg. Manag., 2023)

Unified Framework for Histopathology Image Augmentation and Classification via Generative Models. - Meng Li; Chaoyi Li; Can Peng; Brian C. Lovell (DICTA, 2024)

F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. - Pramit Saha; Felix Wagner 001; Divyanshu Mishra; Can Peng; Anshul Thakur; David A. Clifton; Konstantinos Kamnitsas; J. Alison Noble (CoRR, 2024)

Multivariate prototype representation for domain-generalized incremental learning. - Can Peng; Piotr Koniusz; Kaiyu Guo; Brian C. Lovell; Peyman Moghadam (Comput. Vis. Image Underst., 2024)

F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. - Pramit Saha; Felix Wagner 001; Divyanshu Mishra; Can Peng; Anshul Thakur; David A. Clifton; Konstantinos Kamnitsas; J. Alison Noble (CVPR, 2025)

A Deep Learning Framework for Fetal Heart Tracking in Ultrasound Videos: Toward Enhanced Congenital Heart Defects Detection. - Qianye Yang; Kangning Cui; Yipeng Hu; Can Peng; Netzahualcoyotl Hernandez-Cruz; Rahul Ahuja; Elena D'Alberti; Raymond Chan 001; Olga Patey; Aris T. Papageorghiou; J. Alison Noble (FIMH (2), 2025)

Inductive Graph Few-shot Class Incremental Learning. - Yayong Li; Peyman Moghadam; Can Peng; Nan Ye; Piotr Koniusz (WSDM, 2025)

Levitation Performance Evolution of HTS Maglev Systems Under Thermally Induced Magnetic Irregularities in Permanent Magnet Guideways. - Can Peng; Xucheng Zhou; Bo Yang; Xiaoning Liu; Zigang Deng (IEEE Trans. Instrum. Meas., 2025)

WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation. - Mingjie Wu; Chenggui Yang; Huihua Wang; Chen Xue; Yibo Wang; Haoyu Wang; Yansong Wang; Can Peng; Yuqi Han; Ruoyu Li; Lijun Yun; Zaiqing Chen; et al. (CoRR, 2025)

Federated Continual 3D Segmentation With Single-round Communication. - Can Peng; Qianhui Men; Pramit Saha; Qianye Yang; Cheng Ouyang; J. Alison Noble (CoRR, 2025)

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting. - Yuyuan Liu; Yuanhong Chen; Chong Wang 012; Junlin Han; Junde Wu; Can Peng; Jingkun Chen; Yu Tian 001; Gustavo Carneiro 001 (CoRR, 2025)

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos. - Yingyu Yang; Qianye Yang; Kangning Cui; Can Peng; Elena D'Alberti; Netzahualcoyotl Hernandez-Cruz; Olga Patey; Aris T. Papageorghiou; J. Alison Noble (CoRR, 2025)