Accelerating Learned Image Compression Through Modeling Neural Training Dynamics - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu (Trans. Mach. Learn. Res., 2025)

Balanced Rate-Distortion Optimization in Learned Image Compression - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning - Jiangpeng He; Zhihao Duan; Fengqing Zhu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025)

Balanced Rate-Distortion Optimization in Learned Image Compression - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu (CoRR, 2025)

Accelerating Learned Image Compression Through Modeling Neural Training Dynamics - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu (CoRR, 2025)

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning - Jiangpeng He; Zhihao Duan; Fengqing Zhu (CoRR, 2025)

Flexible Mixed Precision Quantization for Learned Image Compression - Md Adnan Faisal Hossain; Zhihao Duan; Fengqing Zhu (CoRR, 2025)

Balancing the encoder and decoder complexity in image compression for classification - Zhihao Duan; Md Adnan Faisal Hossain; Jiangpeng He; Fengqing Zhu (EURASIP J. Image Video Process., 2024)

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression - Zhihao Duan; Ming Lu; Jack Ma; Yuning Huang; Zhan Ma; Fengqing Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Deep Hierarchical Video Compression - Ming Lu; Zhihao Duan; Fengqing Zhu; Zhan Ma (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding - Yichi Zhang; Zhihao Duan; Ming Lu; Dandan Ding; Fengqing Zhu; Zhan Ma (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Learning to Classify New Foods Incrementally Via Compressed Exemplars - Justin Yang; Zhihao Duan; Jiangpeng He; Fengqing Zhu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 - Workshops, Seattle, WA, USA, June 17-18, 2024, 2024)

Towards Backward-Compatible Continual Learning of Image Compression - Zhihao Duan; Ming Lu; Justin Yang; Jiangpeng He; Zhan Ma; Fengqing Zhu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

On Efficient Neural Network Architectures for Image Compression - Yichi Zhang; Zhihao Duan; Fengqing Zhu (IEEE International Conference on Image Processing, ICIP 2024, Abu Dhabi, United Arab Emirates, october 27-30, 2024, 2024)

Flexible Mixed Precision Quantization for Learne Image Compression - Md Adnan Faisal Hossain; Zhihao Duan; Fengqing Zhu (IEEE International Conference on Multimedia and Expo, ICME 2024, Niagara Falls, ON, Canada, July 15-19, 2024, 2024)

Theoretical Bound-Guided Hierarchical Vae For Neural Image Codecs - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu (IEEE International Conference on Multimedia and Expo, ICME 2024, Niagara Falls, ON, Canada, July 15-19, 2024, 2024)

Compression of Self-Supervised Representations for Machine Vision - Zhihao Duan; Fengqing Maggie Zhu (26th IEEE International Workshop on Multimedia Signal Processing, MMSP 2024, West Lafayette, IN, USA, October 2-4, 2024, 2024)

Probing Image Compression for Class-Incremental Learning - Justin Yang; Zhihao Duan; Andrew Peng; Yuning Huang; Jiangpeng He; Fengqing Zhu (Picture Coding Symposium, PCS 2024, Taichung, Taiwan, June 12-14, 2024, 2024)

Probing Image Compression For Class-Incremental Learning - Justin Yang; Zhihao Duan; Andrew Peng; Yuning Huang; Jiangpeng He; Fengqing Zhu (CoRR, 2024)

Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs - Yichi Zhang; Zhihao Duan; Yuning Huang; Fengqing Zhu (CoRR, 2024)

Learning to Classify New Foods Incrementally Via Compressed Exemplars - Justin Yang; Zhihao Duan; Jiangpeng He; Fengqing Zhu (CoRR, 2024)

High-Efficiency Neural Video Compression via Hierarchical Predictive Learning - Ming Lu; Zhihao Duan; Wuyang Cong; Dandan Ding; Fengqing Zhu; Zhan Ma (CoRR, 2024)

Unified Architecture Adaptation for Compressed Domain Semantic Inference - Zhihao Duan; Zhan Ma; Fengqing Zhu (IEEE Trans. Circuits Syst. Video Technol., 2023)

An Improved Upper Bound on the Rate-Distortion Function of Images - Zhihao Duan; Jack Ma; Jiangpeng He; Fengqing Zhu (IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 8-11, 2023, 2023)

Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems - Md Adnan Faisal Hossain; Zhihao Duan; Yuning Huang; Fengqing Zhu (IEEE International Conference on Multimedia and Expo Workshops, ICMEW Workshops 2023, Brisbane, Australia, July 10-14, 2023, 2023)

NARV: An Efficient Noise-Adaptive ResNet VAE for Joint Image Compression and Denoising - Yuning Huang; Zhihao Duan; Fengqing Zhu (IEEE International Conference on Multimedia and Expo Workshops, ICMEW Workshops 2023, Brisbane, Australia, July 10-14, 2023, 2023)

Lossy Image Compression with Quantized Hierarchical VAEs - Zhihao Duan; Ming Lu; Zhan Ma; Fengqing Zhu (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023, 2023)

Complexity Evaluation of Parallel Execution of the RAPiD Deep-Learning Algorithm on Intel CPU - Dominic Konrad; Zhihao Duan; Mertcan Cokbas; Prakash Ishwar (CoRR, 2023)

An SSVEP-based BCI with LEDs visual stimuli using dynamic window CCA algorithm - Chong Liu; Miao Duan; Zhihao Duan; Aizun Liu; Zhiguo Lu; Hong Wang (Biomed. Signal Process. Control., 2022)

Opening the Black Box of Learned Image Coders - Zhihao Duan; Ming Lu; Zhan Ma; Fengqing Zhu (Picture Coding Symposium, PCS 2022, San Jose, CA, USA, December 7-9, 2022, 2022)

Efficient Feature Compression for Edge-Cloud Systems - Zhihao Duan; Fengqing Zhu (Picture Coding Symposium, PCS 2022, San Jose, CA, USA, December 7-9, 2022, 2022)

WEPDTOF: A Dataset and Benchmark Algorithms for In-the-Wild People Detection and Tracking from Overhead Fisheye Cameras - Mustafa Ozan Tezcan; Zhihao Duan; Mertcan Cokbas; Prakash Ishwar; Janusz Konrad (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, 2022)

Lossy Image Compression with Quantized Hierarchical VAEs - Zhihao Duan; Ming Lu; Zhan Ma; Fengqing Zhu (CoRR, 2022)

Research on steady-state visual evoked brain-computer interface based on moving stimuli - Zhihao Duan; Chong Liu; Zhiguo Lu; Jie Chen; Yungong Li; Hong Wang (Biomed. Signal Process. Control., 2021)

RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images - Zhihao Duan; Mustafa Ozan Tezcan; Hayato Nakamura; Prakash Ishwar; Janusz Konrad (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2020, Seattle, WA, USA, June 14-19, 2020, 2020)

RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images - Zhihao Duan; Mustafa Ozan Tezcan; Hayato Nakamura; Prakash Ishwar; Janusz Konrad (CoRR, 2020)

Modelling Travel Time After Incidents on Freeway Segments in China - Han Ru; Jinliang Xu; Zhihao Duan; Xingliang Liu; Chao Gao (IEEE Access, 2019)