2025

• Anle Ke, Xu Zhang, Tong Chen, Ming Lu, Chao Zhou, Jiawen Gu, and Zhan Ma, "Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-Aware Diffusion," accepted by ICML, May 2025.

• Jiahao Zhu, Kang You, Dandan Ding, and Zhan Ma, "Efficient LiDAR Reflectance Compression via Scanning Serialization," accepted by ICML, May 2025.
  

• Xu Zhang, Ming Lu, Yan Chen, and Zhan Ma, "Perception-oriented Latent Coding for High-Performance Compressed Domain Semantic Inference," accepted by IEEE ICME, March 2025.

• Kang You, Tong Chen, Dandan Ding, M. Salman Asif, and Zhan Ma, "RENO: Real-time Neural Compression for 3D LiDAR Point Clouds," IEEE CVPR, Feb. 2025.

• Ruiqi Zhang, Hao Zhu, Jingyi Zhao, Qi Zhang, Xun Cao, and Zhan Ma, "Mitigating Ambiguities in 3D Classification with Gaussian Splatting," IEEE CVPR, Feb. 2025.

• Li Fang, Hao Zhu, Longlong Chen, Fei Hu, Long Ye, and Zhan Ma, "Bundle Sampling: Revisiting Plenoptic Sampling Theory for Efficient Generalizable Neural Radiance Field," IEEE CVPR, Feb. 2025.

• You Wang, Li Fang, Hao Zhu, Fei Hu, Long Ye, and Zhan Ma, "GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis," IEEE CVPR, Feb. 2025.
  

• Junzhe Zhang, Tong Chen, Kang You, Dandan Ding, and Zhan Ma, "ConPCAC: Conditional Lossless Point Cloud Attribute Compression via Spatial Decomposition," accepted by IEEE TCSVT, Feb. 2025.

• Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, and Zhan Ma, "On Quantizing Neural Representation for Variable-Rate Video Coding," ICLR, May 2025. (Spotlight)

• Wuyang Cong, Yuzhuo Kong, Ming Lu, Lizhong Wang, Weijing Shi, and Zhan Ma, "Integrating Adaptive Sampling for Optimal Learned Video Compression," IEEE ICASSP, April 2025.
  

• Bowen Gu, Hao Chen, Ming Lu, Jie Yao, and Zhan Ma, "Adaptive Rate Control for Deep Video Compression with Rate-Distortion Prediction," IEEE Data Compression Conference, March 2025.

• Hongwei Sha, Mucheng Dong, Quanyou Luo, Ming Lu, Hao Chen, and Zhan Ma, "Towards Loss-Resilient Image Coding for Unstable Satellite Networks," AAAI, Feb. 2025. (Oral)

2024

• Yuanbin Wu, Shengkui Dai, and Zhan Ma, "Advanced Histogram Equalization Based on a Hybrid Saliency Map and Novel Visual Prior," Machine Intelligence Research, 21(6):1178-1191, Dec. 2024.
  

• Junteng Zhang, Tong Chen, Hao Zhu, Dong Wang, Dandan Ding, and Zhan Ma, "Compressing 3D Gaussian Splatting via a Generalizable Neural Coder," IEEE VCIP, Tokyo, Japan, Dec. 2024.

• Xu Zhang, Peiyao Guo, Ming Lu, and Zhan Ma, "All-in-One Image Coding for Joint Human-Machine Vision With Multi-Path Aggregation," accepted by NeurIPS, Sept. 2024.

• Jianqiang Wang, Ruixiang Xue, Jiaxin Li, Dandan Ding, Yi Lin, and Zhan Ma, "A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding - Part II: Attribute," IEEE Trans. Pattern Analysis and Machine Intelligence, 47(1):252-268, Jan. 2025. [CfP Response to MPEG AI-PCC]

• Jianqiang Wang, Ruixiang Xue, Jiaxin Li, Dandan Ding, Yi Lin, and Zhan Ma, "A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding - Part I: Geometry," IEEE Trans. Pattern Analysis and Machine Intelligence, 47(1):269-287, Jan. 2025. [CfP Response to MPEG AI-PCC]

• Junzhe Zhang, Gexin Liu, Junteng Zhang, Dandan Ding, and Zhan Ma, "DeepPCC: Learned Lossy Point Cloud Compression," accepted by IEEE Trans. Emerging Topics in Computational Intelligence, Sept. 2024.
  

• Chengkang Shen, Hao Zhu, You Zhou, Yu Liu, Si Yi, Lili Dong, Weipeng Zhao, David J. Brady, Xun Cao, Zhan Ma, and Yi Lin, "CardiacField: Computational Echography for Automated Heart Function Estimation Using 2DE Probes," Europoean Heart Journal - Digital Health, Jan. 2025.

• Peiyao Guo, Wenjing Su, Xu Zhang, Hao Chen, and Zhan Ma, "Modeling the Non-Uniform Retinal Perception for Viewport-Dependent Streaming of Immersive Video," Multimedia Systems, 30:237, August 2024.

• Junqi Shi, Mingyi Jiang, Ming Lu, Tong Chen, Xun Cao, and Zhan Ma, "HINER: Neural Representation for Hyperspectral Image," ACM Multimedia, July 2024.

• Bin Jiang, Bo Xiong, You Zhou, Bohan Qu, M. Salman Asif, and Zhan Ma, "EDformer: Transformer-based Event Denoising Across Various Noise Levels," ECCV, July 2024.

• Delong Wu, Hao Zhu, Qi Zhang, You Li, Xun Cao, and Zhan Ma, "Neural Poisson Solver: A Universal and Continous Framework for Natural Signal Blending," ECCV, July 2024.
  

• Hao Chen, Bowei Xu, Shaowei Wang, Xun Cao, and Zhan Ma, "Toward Adaptive Volumetric Video Streaming: A Joint Network-Viewport Adaptation Framework," IEEE Communications Magazine, vol. 63, no. 3, pp. 197-203, 2024.

• Chengkang Shen, Hao Zhu, You Zhou, Yu Liu, Si Yi, Lili Dong, Weipeng Zhao, David J Brady, Xun Cao, Zhan Ma, and Yi Lin, "Continous 3D Myocardial Motion Tracking via Echocardiography", IEEE Trans. Medical Imaging, 43(12):4236-4252, Dec. 2024.

• Wenjing Su, Yueheng Li, Hao Chen, and Zhan Ma, "Compass: A Prefetching Framework with Viewport Patching for 360-degree Video Streaming", ACM SIGCOMM Workshop on Emerging Multimedia Systems, June 2024.

• Junteng Zhang, Junzhe Zhang, Wenxi Ma, Dandan Ding, and Zhan Ma, "Content-aware Rate Control for Geometry-based Point Cloud Compression," IEEE Trans. Circuits and Systems for Video Technology, vol. 34, no. 10, Oct. 2024.

• Jiaoyang Yin, Hao Chen, Yiling Xu, Zhan Ma, and Xiaozhong Xu, "Learning Accurate Network Dynamics for Enhanced Adaptive Video Streaming," IEEE Trans. Broadcasting, vol. 70, no. 3, Sept. 2024.

• Gexin Liu, Jiahao Zhu, Dandan Ding, and Zhan Ma, "Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry," IJCAI, Jeju, Korea, April 2024.

• Yuzhuo Kong, Ming Lu, and Zhan Ma, "Generative Refinement for Low Bitrate Image Coding Using Vector Quantized Residual," IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 14, no. 2, pp. 185 - 197, June 2024.

• Junteng Zhang, Junzhe Zhang, Dandan Ding, and Zhan Ma, "Learning to Restore Compressed Point Cloud Attribute: Fully Data-Driven Approach and Rules-Unrolling-Based Optimization," accepted by IEEE TVCG, March 2024.

• Zhen Liu, Hao Zhu, Qi Zhang, Fu Jingde, Weibing Deng, Zhan Ma, Yanwen Guo, and Xun Cao, “FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions," IEEE CVPR, 2024.

• Qi Zhao, M. Salman Asif, and Zhan Ma, "PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos," IEEE CVPR, 2024.

• Zhihao Duan, Ming Lu, Justin Yang, Jiangpeng He, Zhan Ma, and Fengqing Zhu, "Towards Backward-Compatible Continual Learning of Image Compression," IEEE CVPR, 2024.
  

• Hongwei Sha, Ming Lu, and Zhan Ma, "Lossless JPEG Recompression for Similar Images via Frequency Domain Block Matching," IEEE PCS, Feb. 2024.

• Hao Zhu, Shaowen Xie, Zhen Liu, Fengyi Liu, Qi Zhang, Yi Lin, Zhan Ma, and Xun Cao, "Disorder-invariant Implicit Neural Representation," accepted by IEEE Trans. Pattern Analysis and Machine Intelligence, Feb. 2024. [website]

• Zhihao Li, Ming Lu, Xu Zhang, Xin Feng, M. Salman Asif, and Zhan Ma, "Efficient Visual Computing with Camera RAW Snapshots," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 46, no. 7, pp. 4684 - 4701, July 2024. [website]

• Muchen Dong, Ming Lu, and Zhan Ma, "Accelerating Block-level Rate Control for Learned Image Compression," IEEE Data Compression Conference, Snow Bird, UT, March 2024.

• Shaohan Sun, Yuzhuo Kong, Tong Chen, and Zhan Ma, "Variable-rate Neural Speech Compression with Multiscale Feature Extraction and Improved Entropy Modeling," IEEE Data Compression Conference, Snow Bird, UT, March 2024. 
  

• Bin Jiang, Zhihao Li, M. Salman Asif, Xun Cao, and Zhan Ma, "Token-based Spatiotemporal Representation of the Events," Proc. of IEEE ICASSP, Seoul, Korea, April 2024.

• Ruixiang Xue, Jiaxin Li, Tong Chen, Dandan Ding, Xun Cao, and Zhan Ma, "NeRI: Implicit Neural Representation of LiDAR Point Cloud Using Range Image Sequence," Proc. of IEEE ICASSP, Seoul, Korea, April 2024.
  

• Ming Lu, Zhihao Duan, Fengqing Zhu, and Zhan Ma, "Deep Hierarchical Video Compression," Proc. of  AAAI, Vancouver, Canada, Feb. 2024. (Fastest Neural Video Coder)

• Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu, and Zhan Ma, "Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding," Proc. of AAAI, Vancouver, Canada, Feb. 2024.[website]

• Zhihao Duan, Ming Lu, Jack Ma, Yuning Huang, Zhan Ma, and Fengqing Zhu, "QARV: Quantization-Aware ResNet VAE for Lossy Image Compression," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 46, no. 1, pp. 436-450, Jan. 2024.
  

• Yichi Zhang, Gongchun Ding, Dandan Ding, Zhan Ma, and Zhu Li, "On Content-aware Post-Processing: Adapting Statistically Learned Models to Dynamic Content," ACM TOMM, 20(1):1-28, Jan. 2024.

  2023
  

• Muchen Dong, Hongwei Sha, Ming Lu, and Zhan Ma, "ULIC: Ultra Lightweight Image Coder on Wearable Devices," IFTC, Dec. 2023. [Best Paper, Adopted into popular wearable devices]

• Gexin Liu, Ruixiang Xue, Jiaxin Li, Dandan Ding, Zhan Ma, "GRNet: Geometry Restoration for G-PCC Compressed Point Clouds Using Auxiliary Density Signaling," IEEE Trans. Virtualization and Computer Graphics, vol. 30, no. 4, Oct. 2024

• Yueheng Li, Hao Chen, Bowei Xu, Zicheng Zhang, and Zhan Ma, "Improving Adaptive Real-time Video Communication via Cross-layer Optimization,"  IEEE Trans. Multimedia, 26:5369-5382, March 2024.

• Junteng Zhang, Jianqiang Wang, Dandan Ding, and Zhan Ma, "Scalable Point Cloud Attribute Compression," accepted by IEEE Trans. Multimedia, Nov. 2023.

• Junqi Shi, Ming Lu, and Zhan Ma, "Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression," IEEE Trans. Circuits and Systems for Video Technology, vol. 34, no. 5, pp. 3082 - 3095, May 2024. [website]

• Mingliu Sun, Hao Chen, and Zhan Ma, "Quality-of-Experience Assessment for Ultra-low Latency Live Streaming Videos," IEEE MMSP, Oct. 2023.

• Chi Zhang, Ming Lu, You Li, and Zhan Ma, "Recurrent Information Synthesis for Down-sampling Based Video Coding," IEEE MMSP, Oct. 2023.

• Junzhe Zhang, Junteng Zhang, Dandan Ding, and Zhan Ma, "ARNet: Attribute Artifacts Reduction for G-PCC Compressed Point Clouds," accepted by Computational Visual Media, July 2023.

• Yueheng Li, Zicheng Zhang, Hao Chen, and Zhan Ma, "Mamba: Bringing Multi-dimensional ABR to WebRTC," ACM Multimedia, Oct. 2023. [Website]

• Bowei Xu, Hao Chen, and Zhan Ma, "Karma: Adaptive Video Streaming via Causal Sequence Modeling," ACM Multimedia, Oct. 2023.  [Website]

• Junteng Zhang, Tong Chen, Dandan Ding, and Zhan Ma, "YOGA: Yet Another Geometry-based Point Cloud Compressor," ACM Multimedia, Oct. 2023. [Website]

• Junzhe Zhang, Tong Chen, Dandan Ding, and Zhan Ma, "G-PCC++: Enhanced Geometry-based Point Cloud Compression," ACM Multimedia, Oct. 2023. [Website]
  

• Ming Lu, Tong Chen, Zhenyu Dai, Dong Wang, Dandan Ding, and Zhan Ma, "Decoder-Side Cross Resolution Synthesis for Video Compression Enhancement," IEEE Trans. Multimedia,  vol. 25, pp. 2097-2110, 2023. [Open Source]
  

• Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, and Zhan Ma, "Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression," IEEE Trans. Pattern Analysis and Machine Intelligence, 45(7):9055-9071, July 2023. [Website][SparsePCGCv1 under MPEG AI PCC study].

• Junyu Zhu, Hao Zhu, Qi Zhang, Fang Zhu, Zhan Ma, Xun Cao, "Pyramid NeRF: Frequency Guided Fast Radiance Field Optimization," International Journal of Computer Vision, 131:2649-2664, May 2023. [Github].

• Qianyuan Zheng, Hao Chen, and Zhan Ma, "Bamboo: Boosting Training Efficiency for Real-Time Video Streaming via Online Grouped Federated Transfer Learning," APNet (Poster), June 2023.

• Tong Chen, and Zha Ma, "Toward Robust Neural Image Compression: Adversarial Attack and Model Finetuning," IEEE Trans. Circuits and Systems for Video Technology, vol. 33, no. 12, pp. 7842-7856, Dec. 2023.

• Qi Yang, Yujie Zhang, Siheng Chen, Yiling Xu, Jun Sun, and Zhan Ma, "MPED: Quantifying Point Cloud Distortion Based on Multiscale Potential Energy Discrepancy," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 45, no. 5, pp. 6037-6054, May 2023.

• Yueheng Li, Qianyuan Zheng, Zicheng Zhang, Hao Chen, and Zhan Ma, "Improving ABR Performance for Short Video Streaming Using Multi-Agent Reinforcement Learning with Expert Guidance," In Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV '23), Association for Computing Machinery, New York, NY, USA, 58-64.

• Dandan Ding, Junjie Wang, Guangkun Zhen, Debargha Mukherjee, Urvang Joshi, and Zhan Ma, "Neural Adaptive Loop Filtering For Video Coding: Exploring Multi-Hypothesis Sample Refinement," IEEE Trans. Circuits and Systems for Video Technology, 33(10):6057-6071, Oct. 2023. [Adopted in AOM Software Model]

• Zicheng Zhang, Hao Chen, Xun Cao, and Zhan Ma, "Anableps: Adapting Bitrate for Real-Time Communication Using VBR-encoded Video," IEEE ICME, July 2023. (Oral Presentation)

• Qi Zhao, M. Salman Asif, and Zhan Ma, "DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos," IEEE CVPR, 2023.

• Shaowen Xie, Hao Zhu, Zhen Liu, Qi Zhang, You Zhou, Xun Cao, and Zhan Ma, "DINER: Disorder-Invariant Implicit Neural Representation," IEEE CVPR, 2023. [Open Source][Highlight Paper <2.5%]
  

• Xu Zhang, Geyong Min, Tong Li, Zhan Ma, Xun Cao, and Shaowei Wang, "AI and Blockchain Empowered Metaverse for Web 3.0: Vision, Architecture, and Future Directions,"  IEEE Communications Magazine, pp. 60-66, August 2023.

• Zhihao Duan, Zhan Ma, and Fengqing Zhu, "Unified Architecture Adaptation for Compressed Domain Semantic Inference," IEEE Trans. Circuits and Systems for Video Technology, vol. 33, no. 8, pp. 4108-4121, August 2023.

• Jianqiang Wang, Dandan Ding, and Zhan Ma, "Lossless Point Cloud Attribute Compression Using Cross-scale, Cross-group, and Cross-color Prediction," IEEE DCC, March 2023.

• Zhihao Duan, Ming Lu, Zhan Ma, and Fengqing Zhu, "Lossy Image Compression with Hierarchical VAEs," IEEE WACV, Jan. 2023. [Best Paper - Algorithms]

2022

• Muchen Dong, Ming Lu, Xining Wang, Tong Chen, and Zhan Ma, "Practical end-to-end image compression," IEEE VCIP Grand Challenge, Dec. 2022 [Speed Track, Third Prize].

• Zhihao Duan, Ming Lu, Zhan Ma, and Fengqing Zhu, "Opening the Black Box of Learned Image Coders", IEEE PCS, 2022.

• Xining Wang, Ming Lu, and Zhan Ma, "Block-level Rate Control for Learnt Image Compression," IEEE PCS, 2022.
  

• Gexin Liu, Jianqiang Wang, Dandan Ding, and Zhan Ma, "PCGFormer: Lossy Point Cloud Geometry Compression via Local Self-Attention," IEEE VCIP, Dec. 2022. [PCGCv2++]

• Yichi Zhang, Hengyu Liu, Dandan Ding, and Zhan Ma, "Low Light RAW Image Enhancement Using Paired Fast Fourier Convolution and Transformer," IEEE VCIP, Dec. 2022.

• Junteng Zhang, Gexin Liu, Dandan Ding, and Zhan Ma, "Transformer and Upsampling-Based Point Cloud Compression," ACM MM Workshops on Advances in Point Cloud Compression, Processing and Analysis, Oct. Lisbon, Portugal, 2022.
  

• Zhehao Chen, Ming Lu, Hao Chen, and Zhan Ma, "Robust Ultralow Bitrate Video Conferencing with Second Order Motion Coherency," Proc. of IEEE MMSP, August 2022.

• Ming Cheng, Yiling Xu, Shen Wang, M. Salman Asif, Chao Ma, and Zhan Ma, "H²-Stereo: High-Speed, High-Resolution Stereoscopic Video Acquisition," IEEE Trans. Broadcasting, vol. 68, no. 4, pp. 886-903, Dec. 2022.

• Yueyu Hu, Wenhan Yang, Zhan Ma, and Jiaying Liu, "Learning End-to-End Lossy Image Compression: A Benchmark," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 44, no. 8, pp. 4194-4211, July 2022.

• Hengchao Wang, Xu Zhang, Hao Chen, Yiling Xu, and Zhan Ma, "Inferring End-to-End Latency in Live Videos," IEEE Trans. Broadcasting, vol. 68, no. 2, pp. 517-529, June 2022.

• Jianqiang Wang, and Zhan Ma, "Sparse Tensor-based Point Cloud Attribute Compression," IEEE MIPR, August 2022.

• Peiyao Guo, M. Salman Asif, and Zhan Ma, "Low-light Color Imaging via Cross-Camera Synthesis," IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 4, pp. 828-842, June 2022. [Open Source]

• Qi Yang, Zhan Ma, Yiling Xu, Zhu Li, and Jun Sun, "Inferring Point Cloud Quality via Graph Similarity," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 44, no. 6, pp. 3015-3029, June 2022. [Open Source]

• Hao Zhu, Zhen Liu, You Zhou,  Zhan Ma, and Xun Cao, "DNF: Diffractive Neural Fields for Lensless Microscopic Imaging," Optics Express, vol. 30, no. 11, May 2022. [Open Source]

• Zhihao Li, Si Yi, and Zhan Ma, "Rendering Nighttime Image Via Cascaded Color and Brightness Compensation," IEEE CVPR NTIRE Workshops, 2022. [The 2nd Best][Report][Open Source]

• Xu Zhang, Yangchao Zhao, Geyong Min, Wang Miao, Haojun Huang, and Zhan Ma, "Intelligent Video Ingestion for Real-Time Traffic Monitoring," ACM Trans. Sensor Networks, vol. 18, no. 3, pp. 1-13, August 2022.

• Erqi Huang, Maoqi Zhang, Zhan Ma, Linsen Chen, Yiyun Zhang, and Xun Cao, "High-Fidelity Hyperspectral Snapshot of Physical World: System Architecture, Dataset and Model," IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 4, pp. 608-621, June 2022.

• Xu Zhang, Zhengnan Qi, Geyong Min, Wang Miao, Qilin Fan, and Zhan Ma, "Cooperative Edge Caching Based on Temporal Convolutional Network," IEEE Trans. on Parallel and Distributed Systems, vol. 33, no. 9, pp. 2093 - 2105, Sept. 2022.

• Haojie Liu, Ming Lu, Zhiqi Chen, Xun Cao, Zhan Ma, and Yao Wang, "End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation," IEEE Trans. Circuits and Systems for Video Technology, vol. 32, no. 8, pp. 5650-5662, Jan. 2022.

• Yu Meng and Zhan Ma, "Viewport-Based Omnidirectional Video Quality Assessment: Database, Modeling and Inference," IEEE Trans. Circuits and Systems for Video Technology, vol. 32, no. 1, pp. 120-134, Jan. 2022. [Database]

• Xu Zhang, Geyong Min, Qilin Fan, Hao Yan, Dapeng Wu, and Zhan Ma, "A Light Weight Statistical Latency Measurement Platform at Scale," IEEE Trans. Industrial Informatics, vol. 18, no. 2, pp. 1186-1195, Feb. 2022.

• Dandang Ding, Xiang Gao, Chenran Tang, and Zhan Ma, "Neural Reference Synthesis for Inter Frame Coding," IEEE Trans. Image Processing, vol. 31, pp. 773-787, 2022. [Open Source]
  

• Ming Lu, Peiyao Guo, Huiqing Shi, Chuntong Cao, and Zhan Ma, "Transformer-based Image Compression," IEEE Data Compression Conference, Snow Bird, Utah, March 2022. 
  

2021

• Rongqi Zhang, Xu Zhang, Peiyao Guo, Qilin Fan, Hao Yin, and Zhan Ma, “QoE Models for Online Video Streaming,” Proc. of IUCC, London, UK, Dec. 2021
  

• Qi Yang, Hao Chen, Zhan Ma, Yiling Xu, Rongjun Tang, and Jun Sun, “Predicting the Perceptual Quality of Point Cloud: A 3D-to-2D Projection-Based Exploration,” IEEE Trans. Multimedia, vol. 23, pp. 3877-3891, Oct. 2021.

• Ming Cheng, Zhan Ma, M. Salman Asif, Yiling Xu, Haojie Liu, Wenbo Bao, and Jun Sun, “Dual Camera System for High Spatiotemporal Resolution Video Acquisition,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 43, no. 10, pp. 3275-3291, Oct. 2021. [Open Source]

• Weixin Hong, Tong Chen, Ming Lu, Shiliang Pu, and Zhan Ma, “Efficient Neural Image Decoding via Fixed-Point Inference,” IEEE Trans. Circuits and Systems for Video Technology, vol. 31, no. 9, pp. 3618-3630, Sept. 2021. [Open Source]

• Chunqiu Ding, and Zhan Ma, “Multi-Camera Color Correction via Hybrid Histogram Matching,”  IEEE Trans. Circuits and Systems for Video Technology, vol. 31, no. 9, pp. 3327 - 3337, Sept. 2021. [Open Source]

• Yan Wang, Shuyuan Zhu, Zhan Ma, Ruiqin Xiong, and Bing Zeng, “NTSDCN: New Three-Stage Deep Convolutional Image Demosaicking Network,” IEEE Trans. Circuits and Systems for Video Technology, vol. 31, no. 9, pp. 3725-3729, Sept. 2021.

• Haojie Liu, Ming Lu, Zhan Ma, Fan Wang, Zhihuang Xie, Xun Cao, and Yao Wang, “Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model,” IEEE Trans. Circuits and Systems for Video Technology, vol. 31, no. 8, pp. 3182-3196, Aug. 2021 [Open Source]

• 郭珮瑶，蒲致远，马展，“多相机系统：成像增强及应用”，激光与光电子学进展，58卷，18期，2021.

• Wenjie Zhu, Yiling Xu, Dandan Ding, Mike Nilsson, and Zhan Ma, “Lossy Point Cloud Geometry Compression via Region-wise Processing,” IEEE Trans. Circuits and Systems for Video Technology, vol. 31, no. 12, pp. 4575-4589, Dec. 2021.

• Zhiqian Jiang, Xu Zhang, Yiling Xu, Zhan Ma, Jun Sun and Yunfei Zhang, “Reinforcement Learning Based Rate Adaptation for 360-degree Video Streaming,” IEEE Trans. Broadcasting, vol.  67, no. 2, pp. 409 - 423, June 2021.

• Linyao Gao, Tingyu Fan, Jianqiang Wang, Yiling Xu, and Zhan Ma, “Point Cloud Geometry Compression via Neural Graph Sampling,” IEEE ICIP, Oct. 2021.

• Xining Wang, Tong Chen, and Zhan Ma, “Subjective Quality Optimized Efficient Image Compression,” IEEE CVPR CLIC Workshop, April 2021.

• Chengyu Wang， Qian Huang, Ming Cheng, Zhan Ma, and David J. Brady, “Deep Learning for Camera Autofocus,” IEEE Trans. Computational Imaging, vol. 7, pp. 258-271, Feb. 2021. [SPS Report]

• Dandan Ding, Zhan Ma, Di Chen, Qingshuang Chen, Zoe Liu, and Fengqing Zhu, “Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies,” Proceedings of the IEEE, vol. 109, no. 9, pp. 1494 - 1520, Sept. 2021. [Open Source]

• Tianfu Wang, Qilin Fan, Xiuhua Li, Xu Zhang, Qingyu Xiong, Shu Fu, and Min Gao, “DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning,” In Proc. of  IEEE ICC, June 2021, Montreal, CA. 

• Tong Chen, Haojie Liu, Zhan Ma, Qiu Shen, Xun Cao, and Yao Wang, “End-to-End Learnt Image Compression via Nonlocal Attention Optimization and Improved Context Modeling,” IEEE Trans. Image Processing, vol. 30, pp. 3179-3191, 2021. [Open Source][Baseline Model of IEEE 1857.11]

• Wenjie Zhu, Zhan Ma, Yiling Xu, Li Li, and Zhu Li, “View-Dependent Dynamic Point Cloud Compression,”  IEEE Trans. Circuits and Systems for Video Technology, vol. 31, no. 2, pp. 765-781, Feb. 2021.

• Xuefei Yan, David J. Brady, Weiping Zhang, Changzhi Yu, Yulin Jiang, Jianqiang Wang, Chao Huang, Zian Li, and Zhan Ma, “Compressive Sampling for Array Cameras,” SIAM Imaging Sciences, vol. 14, no. 1, pp. 156 -177, 2021.

• Hao Chen, Ming Lu, Zhan Ma, Xu Zhang, et al., “Learned Resolution Scaling Powered Gaming-as-a-Service at Scale,” IEEE Trans. Multimedia, vol. 23, pp. 584-596, Jan. 2021.

• Jianqiang Wang, Hao Zhu, Haojie Liu, and Zhan Ma, “Lossy Point Cloud Geometry Compression via End-to-End Learning,” IEEE Trans. Circuits and Systems for Video Technology, vol. 31, no. 12, pp. 4909-4932, Dec. 2021. [Open Source][YouTube Channel][PCGCv1 under investigation in MPEG AI PCC][2023 IEEE Outstanding Young Author Award]

• Jianqiang Wang, Dandan Ding, Zhu Li, and Zhan Ma, “Multiscale Point Cloud Geometry Compression,” IEEE DCC, Snow Bird, Utah, March 2021. [Open Source][Video][PCGCv2 under investigation in MPEG AI PCC]

2020

• Zhihao Li, and Zhan Ma, “Robust White Balance Estimation  Using Joint Attention and Angular Loss Optimization,” SPIE ICMV, Rome Italy, Nov. 2020 [The First Prize in the 2nd International Illumination Estimation Challenge (IEC)].

• Xu Zhang, Hao Yin, Dapeng Oliver Wu, Geyong Min, Haojun Huang, and Ying Zhang, “SSL: A Surrogate-based Method for Large-scale Statistical Latency Measurement,” IEEE Transactions on Services Computing, vol. 13, no. 5, pp. 958-968, Sep. 2020. 

• Xu Zhang, Kai Yang, Rongqi Zhang, Qilin Fan, Hong Tang, and Zhan Ma, “Demystifying the Largest Live Game Streaming Platform via Black-Box Measurement,” In Prof. of IEEE ISPA, Dec. 2020, Exeter, UK.

• David J. Brady, Lu Fang, and Zhan Ma, “Deep Learning for Camera Data Acquisition, Control and Image Estimation,” Advances in Optics and Photonics, vol. 12, no. 4, pp. 787-846, Dec. 2020.

• Tong Chen, Haojie Liu, Ming Lu, and Zhan Ma, “Neural Image Compression,” IEEE MMSP Grand Challenge  [Best Performing Image Coding Solution], Sept. 2020. [Open Source]

• Peiyao Guo, and Zhan Ma, “Low-light Color Imaging via Dual Camera Acquisition,” ACCV, Kyoto, JP, 2020.

• Zhiyuan Pu,  Peiyao Guo,  M. Salman Asif, and Zhan Ma, “Robust High Dynamic Range (HDR) Imaging with Complex Motion and Parallax,” ACCV, Kyoto, JP, 2020.

• Haojun Huang, Wang Miao, Geyong Min, Chengqiang Huang, Xu Zhang, and Chen Wang, “Resilient Range-Based d-Dimensional Localization for Mobile Sensor Networks,” IEEE/ACM Trans. Networking, 2020.  

• Shaowei Xie, Yiling Xu, Qiu Shen, Zhan Ma, and Wenjun Zhang, “Modeling the Perceptual Quality of Viewport Adaptive Omnidirectional Video Streaming,” IEEE Trans. Circuits and Systems for Video Technology, vol. 30, no. 9, pp. 3029-3042, Sep. 2020. 

• Zhihao Li, Haojie Liu, Lin Yang, and Zhan Ma, “In-Camera RAW Compression: A New Paradigm from Image Acquisition to Display,” 54th Asilomar Conference on Signals, Systems and Computers, August 2020.

• Qi Xia, Haojie Liu, and Zhan Ma, “Object-Based Image Coding: A Learning-Driven Revisit,” IEEE ICME, London, UK, July 2020. [Open Source]

• Tong Chen, and Zhan Ma, “Variable bitrate image compression with quality scaling factors,”  IEEE ICASSP, Barcelona, Spain, May 2020. [Open Source]

• Qi Yang, Zhan Ma, Yiling Xu, Le Yang, Wenjun Zhang, and Jun Sun, “Modeling the Screen Content Image Quality via Multiscale Edge Attention Similarity,” IEEE Trans. Broadcasting, vol. 66, no. 2, pp. 310-321, June. 2020. [dataset]

• Zhiqian Jiang, Xu Zhang, Wei Huang, Hao Chen, Yiling Xu, Jeng-Neng Hwang, Zhan Ma, Jun Sun, “A Hierarchical Buffer Management Approach to Rate Adaptation for 360-Degree Video Streaming,” IEEE Trans. Vehicular Technology, vol. 69, no. 2, pp. 2157-2170, Feb 2020.

• Hao Chen, Xu Zhang, Yiling Xu, Zhan Ma, and Wenjun Zhang, “Efficient Mobile Video Streaming via Context-Aware RaptorQ-Based Unequal Error Protection,” IEEE Trans. Multimedia, vol. 22, no. 2, pp. 459-473, Feb 2020. 

• Shaowei Xie, Yiling Xu, Yunqiao Li, Qiu Shen, Zhan Ma, and Wenjun Zhang, ”Perceptually Optimized Quality Adaptation of Viewport-Dependent Omnidirectional Video Streaming,” IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 1, pp. 146-160, Jan. 2020. [dataset]

• Haojie Liu, Han Shen, Lichao Huang, Ming Lu, Tong Chen, and Zhan Ma, “Learned Video Compression via Joint Spatial-Temporal Correlation Exploration,” AAAI, New York City,  Feb. 2020. [Poster Spotlight][1912.06348.pdf]

2019

• Hao Chen, Xu Zhang, Yiling Xu, Ju Ren, Jingtao Fan, Zhan Ma, and Wenjun Zhang, “T-Gaming: A Cost-Efficient Cloud Gaming System at Scale,” IEEE Trans. Parallel and Distributed Systems, vol. 30, no. 12, pp. 2849-2865, Dec. 2019. [This work has been adopted into a commercialized AnyGame to support thousands of gaming users daily!]

• Fanyi Duanmu, Zhan Ma, Meng Xu, and Yao Wang, “An HEVC-Compliant Fast Screen Content Transcoding Framework Based on Mode Mapping,” IEEE Trans. Circuits and Systems for Video Technology, vol. 29, no. 10, pp. 3068 - 3082, Oct. 2019. 

• Xu Zhang, Haojun Huang, Hao Yin, Dapeng Wu, Geyong Min, and Zhan Ma, “Resource Provisioning in the Edge for IoT Applications with Multi-Level Services,” IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4262 - 4271, June 2019.

• Zexun Jiang, Hao Yin, Yulei Wu, Yongqiang Lyu, Geyong Min, and Xu Zhang. “Constructing Novel Block Layouts for Webpage Analysis,” ACM Trans. Internet Technol. vol. 19, no. 3, July 2019.

• Xu Zhang, Hao Chen, Yangchao Zhao,  Zhan Ma, et al., “Improving Cloud Gaming Experience through Mobile Edge Computing,” IEEE Wireless Communications, vol. 26, no. 4, pp. 178-183, August 2019. 

• Dongchao Guo, Hao Yin, Cong Li, and Xu Zhang, “Average hopcount of the shortest path in tree-like components with finite size,” Physica A 519 (2019) 295–302.

• Felix Fernandes, Esmaeil Faramarzi, Xin Li, Zhan Ma, and Xavier Ducloux, "Mobile Display Power Reduction for Video using Standardized Metadata," IEEE Trans. Mobile Computing, vol. 18, no. 1, pp. 165-178, Jan. 2019. [This work has been standardized as part of ISO/IEC 23001-11.]

• Zhan Ma, Peiyao Guo, Yu Meng, Shaowei Xie, Qiaojian Qian, and Hao Chen, "Interactive Gigapixel Video Streaming via Multiscale Acceleration," SPIE Photonics Asia, Hangzhou, China, Oct. 2019.

• Haojie Liu, Tong Chen, Qiu Shen, and Zhan Ma, "Practical Stacked Non-local Attention Modules for Image Compression," IEEE CVPR Workshop and Challenge on Learned Image Compression, June 2019.

• Ming Lu, Tong Chen, Haojie Liu, and Zhan Ma, "Learned Image Restoration for VVC Intra Coding,"  IEEE CVPR Workshop and Challenge on Learned Image Compression, June 2019.

• Yiling Xu, Hao Chen, Yangchao Zhao, Wenjun Zhang, Qiu Shen, Xu Zhang, and Zhan Ma, "Neural Adaptive Transport Framework for Internet-scale Interactive Media Streaming Service," IEEE BMSB, Jeju, Korea, June 2019. [2019 IEEE Broadcast Technology Society Best Paper Award]

• Changxu Zhang, Tong Chen, Haojie Liu, Qiu Shen, and Zhan Ma, "LOOKING-AHEAD: Neural Future Video Frame Prediction," IEEE ICIP, 2019. 

• Ming Lu, Ming Cheng, Yiling Xu, Shiliang Pu, Qiu Shen, and Zhan Ma, "Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications," IEEE ICIP, 2019. [Top 10% Papers]

• Yuanyuan Zhao, Xuemei Hu, Hui Guo, Zhan Ma, Tao Yue, and Xun Cao, "Spectral Reconstruction from Dispersive Blur: A Novel Light Efficient Spectral Imager," IEEE CVPR, 2019. 

• Yuanyuan Zhao, Hui Guo, Zhan Ma, Xun Cao, Tao Yue, and Xuemei Hu, "Hyperspectral Imaging with Random Printed Mask," IEEE CVPR, 2019. 

• Qilin Fan, Hao Yin, Qiang He, Yuming Jiang, Sen Wang, Yongqiang Lyu, and Xu Zhang. "Neural Adaptive Caching Approach for Content Delivery Networks,"  IEEE ICSOC 2019.

• Qilin Fan, Hao Yin, Geyong Min, Sen Wang, Yongqiang Lyu, and Xu Zhang. "Content and Network Aware Replication and Scheduling Mechanism for User Generated Content Videos," IEEE UIC 2019.

• Yangchao Zhao, Xu Zhang, Kai Yang, Qilin Fan, Dongchao Guo, Yongqiang Lyu, Hao Yin and Zhan Ma, "Caching Salon: From Classical to Learning-Based Approaches," SOSE, 2019. [pdf]

• Kai Yang, Xu Zhang, Yangchao Zhao, Qilin Fan, Qin Gao, Yongqiang Lyu, Hao Yin and Zhan Ma, "Looking Into Online Gaming From Measurement Perspective," SOSE, 2019. [pdf]

• Qilin Fan, Hao Yin, Yuming Jiang, Yongqiang Lyu, Sen Wang, Haojun Huang, and Xu Zhang, "Resource Reservation and Request Routing for a Cloud-Based Content Delivery Network," SOSE, 2019. [pdf]

      2018 and Before

• Mingkai Huang, Qiu Shen, Zhan Ma, Alan C. Bovik, Praful Gupta, Rongbing Zhou, and Xun Cao, "Modeling the Perceptual Quality of Immersive Images Rendered on Head Mounted Displays: Resolution and Compression," IEEE Trans. Image Processing, vol. 27, no. 12, pp. 6039-6050, August 2018. [dataset][scripts].

• Qiu Shen, Juanjuan Cai, Linfeng Liu, Haojie Liu, Tong Chen, Long Ye, and Zhan Ma, "CodedVision: Towards Joint Image Understanding and Compression via End-to-End Learning," Pacific-Rim Conference on Multimedia, Hefei, China, Sept 21-22, 2018. [Best Paper Finalist]

• Ming Lu, Ming Cheng, Qiu Shen, Yiling Xu, and Zhan Ma, "Collaborative Video Processing for Networked Video Applications," ACM SIGCOMM Student Research Competition, Budapest, August 2018. [Finalist]

• Zexun Jiang, Ruifeng Kuang, Jiaying Gong, Hao Yin, Yongqiang Lyu, Xu Zhang. "What Makes a Great Mobile App? A Quantitative Study Using a New Mobile Crawler," SOSE, 2018.

• Haojun Huang, Hao Yin, Geyong Min, Junbao Zhang, Yulei Wu, Xu Zhang. "Energy-Aware Dual-Path Geographic Routing to Bypass Routing Holes in Wireless Sensor Networks," IEEE Trans. Mob. Comput. 17(6): 1339-1352 (2018)

• Haojie Liu, Tong Chen, Qiu Shen, Tao Yue, and Zhan Ma, "Deep Image Compression via End-to-End Learning," IEEE CVPR Workshop and Challenge on Learnt Image Compression, June 2018. 

• David J. Brady, Wubin Pang, Han Li, Zhan Ma, Tao Yue, and Xun Cao, "Parallel Cameras," Optica, vol. 5, no. 2, pp. 127-137, Feb. 2018.

• Yiling Xu, Qiu Shen, Xin Li, and Zhan Ma, "A cost-efficient cloud gaming system at scale," IEEE Network Magazine, Jan/Feb, 2018. [System In Wild]

• Qilin Fan, Hao Yin, Libo Jiao, Yongqiang Lyu, Haojun Huang, and Xu Zhang, "Towards Optimal Request Mapping and Response Routing for Content Delivery Networks,” IEEE Transactions on Service Computing, 2021. 

• Linsen Chen, Tao Yue, Xun Cao, Zhan Ma, Jinli Suo, and David Brady, "High-resolution spectral video acquisition,” Frontiers of Information Technology & Electronic Engineering, 2017.

• Peiyao Guo, Qiu Shen, Mingkai Huang, Rongbing Zhou, Xun Cao, and Zhan Ma, "Modeling Peripheral Vision Impact on Perceptual Quality of Immersive Images,” IEEE VCIP, St. Petersburg, FL, Dec. 2017

• Tong Chen, Haojie Liu, Qiu Shen, Tao Yue, Xun Cao, and Zhan Ma, "DeepCoder: A Deep Neural Network Based Video Compression," IEEE VCIP, St. Petersburg, FL, Dec. 2017 [The Very First Learning-based Video Coder]

• Fanyi Duanmu, Meng Xu, Yao Wang, Zhan Ma, "HEVC-Compliant Screen Content Transcoding Based on Mode Mapping and Fast Termination," IEEE VCIP, St. Petersburg, FL, Dec. 2017. 

• Linsen Chen, Cc Dong, Du Chen, Han Li, Yuanyuan Zhao, Xun Cao, and Zhan Ma, "Mobile Multispectral Video Streaming," ACM Multimedia (Thematic Workshops), pp. 126-134, 2017. 

• Zhan Ma, Tao Yue, Xun Cao, Yiling Xu, Xin Li, and Yongjin Wang, "Interactive Screen Video Streaming Based Pervasive Mobile Workstyle," IEEE Trans. Multimedia, vol. 9, no. 10, pp. 2322-2332, Oct. 2017.

• Yang Zhao, Tao Yue, Linsen Chen, Hongyuan Wang, Zhan Ma, David J Brady, and Xun Cao, "Heterogeneous camera array for multispectral light field imaging," Optics Express, vol. 25, no. 13, pp. 14008-14022, June 2017

• Hao Yin, Xu Zhang, Hongqiang Harry Liu, Yan Luo, Chen Tian, Shuoyao Zhao, and Feng Li, "Edge Provisioning with Flexible Server Placement," IEEE Transactions on Parallel and Distributed System, 28(4): 1031-1045, 2017

• Zhan Ma, Tao Yue, Xun Cao, Yiling Xu, Xin Li, and Yongjin Wang, "A Practical System towards the Secure, Robust and Pervasive Mobile Workstyle," IEEE VTC, Sydney, Australia, 4–7 June 2017. (Invited Paper)

• Jie Wu, Tao Yue, Qiu Shen, Xun Cao, Zhan Ma, "Multiple-image super-resolution using both reconstruction optimization and deep neural network,"  IEEE GlobalSIP,  Nov. 2017

• Haojun Huang, Junbao Zhang, Xu Zhang*, Benshun Yi, Qilin Fan, FengLi. "EMGR: Energy-efficient Multicast Geographic Routing in Wireless Sensor Networks." Computer Networks, Volume 129, Part 1, Pages 51-63, 2017.

• Haojun Huang, Hao Yin, Geyong Min, Xu Zhang*, Weixing Zhu, Yulei Wu. "Coordinate-Assisted Routing Approach to Bypass Routing Holes in Wireless Sensor Networks," IEEE Communications Magazine, 55(7): 180-185, 2017. 

• Hao Yin, Xu Zhang*, Shuoyao Zhao, Yan Luo, Chen Tian, Vyas Sekar. "Tradeoffs Between Cost and Performance for CDN Provisioning Based on Coordinate Transformation," IEEE Transactions on Multimedia, 19(11): 2583-2596, 2017. 

• Hao Yin, Wei Wang, Xu Zhang, Yongqiang Lyu, Geyong Min, and Dongchao Guo. "UMCR: User Interaction-Driven Mobile Content Retrieval," ACM Transactions on Intelligent Systems and Technology, 9(1):1-19, 2017. 

• Yao Liu, Mengbai Xiao, Ming Zhang, Xin Li, Mian Dong, Zhan Ma, Zhenhua Li, and Songqing Chen, "Content-Adaptive Display Power Saving for Internet Video Applications on Mobile Devices," ACM TOMM, vol. 12, no. 5s, Dec. 2016. [link]

• Haojun Huang, Hao Yin, Yan Luo, Xu Zhang, Geyong Min, and Qilin Fan. "Three-dimensional geographic routing in wireless mobile ad hoc and sensor networks." IEEE Network, 30(2): 82-90, 2016.

• Qilin Fan, Hao Yin, Zexun Jiang, Haojun Huang, Yan Luo, and Xu Zhang. "Adaptive Content Management for UGC Video Delivery in Mobile Internet Era," Mobile Information Systems, 3624860:1-3624860:9, 2016.

• Haojun Huang, Jiangguo Zhou, Wei Li, Junbao Zhang, Xu Zhang, and Guolin Hou. "Wearable Indoor Localization Approach in the Internet of Things," IET Networks, 5(5): 122-126, 2016.

• Fanyi Duanmu, Zhan Ma, Yao Wang, "Fast mode and partition decision using machine learning for intra-frame coding in HEVC screen content coding extension," IEEE Journal Emerging and Selected Topics in Circuits and Systems, vol. 6, no. 4., pp. 517 - 531, Dec. 2016. 

• Yao Liu, Mengbai Xiao, Ming Zhang, Xin Li, Mian Dong, Zhan Ma, Zhenhua Li, and Songqing Chen. "GoCAD: GPU-assisted Online Content Adaptive Display Power Saving for Mobile Devices in Internet Streaming," The 25th International World Wide Web Conference (WWW), Apr. 11-15, 2016, Montreal, Canada.

• Hao Zhang, Qiao Zhou, Ningning Shi, Feng Yang, Xin Feng, and Zhan Ma, "Fast Intra Mode Decision and Block Matching For HEVC Screen Content Compression," IEEE ICASSP, Shanghai, China, March 2016.

• Rongbing Zhou, Mingkai Huang, Shuyi Tan, Lijun Zhang, Du Chen, Jie Wu, Tao Yue, Xun Cao, and Zhan Ma, "Modeling the impact of spatial resolutions on perceptual quality of immersive image/video," IEEE IC3D, Liege, Belgium, 13-14 Dec. 2016.

• Chengzhi Wang, Bo Li, Jie Wang, Hao Zhang, Hao Chen, Yiling Xu, Zhan Ma, "Single-input-multiple-ouput transcoding for video streaming," IEEE MMSP, Montreal, QC, Canada, 21-23 Sept. 2016. [Link]

• Meng Xu, Zhan Ma, Yao Wang, "One-pass Mode and Motion Decision for Multilayer Quality Scalable Video Coding," IEEE Trans. Image Processing, vol. 24, no. 11., pp. 4250-4262, Nov. 2015.

• Felix Fernandes, Xavier Ducloux, Zhan Ma, Esmaeil Faramarzi, Patrick Gendron and Jiangtao Wen, "The Green Metadata Standard for Energy-Efficient Video Consumption," IEEE Multimedia, 2015

• J. Hou, S. Wan, Zhan Ma, and L.-P. Chau, "A Linear Dependent Rate-Quantization Model for Scalable Video Enhancement Layer Encoding," IEEE ISCAS, Lisbon, Portugal, May 2015.

• Yiling Xu, Wei Huang, Wei Wang, Fanyi Duanmu, Zhan Ma, "2-D Index Map Coding for HEVC Screen Content Compression," IEEE DCC, Snowbird, UT, April 2015.

• Y. Liu, M. Xiao, M. Zhang, X. Li, M. Dong, Z. Ma, Z. Li, S. Chen, "Content-Adaptive Display Power Saving in Internet Mobile Streaming," ACM NOSSDAV, Portland, OR, March 2015.

• Maged Elkashlan, Zhan Ma, Yao Wang, Mohsen Guizani, Lei Shu, George K. Karagiannidis, Trung Q. Duong, "Green media: the future of wireless multimedia networks," IEEE Wireless Commun. vol. 21, no. 4, pp. 10-12, 2014.

• Zhan Ma, Wei Wang, Meng Xu, and Haoping Yu, "Advanced screen content coding using color table and index map," IEEE Trans. Image Processing, vol. 23, no. 10, pp. 4399 - 4412, Oct. 2014.

• Hao Zhang and Zhan Ma, "Fast intra mode decision for high-efficiency video coding (HEVC)," IEEE Trans. Circuits and Systems for Video Technology, vol. 24, no. 4, pp. 660 - 668, April 2014.

• Xia Hua, Jinjie Xu, Xiaoli Ji, Feng Yan, Zhan Ma, Xun Cao, "Adaptive 3D content generation via depth video based rendering," IEEE IC3D, 2014.

• Meng Xu, Zhan Ma, Wei Wang, Xian Wang, Haoping Yu, "Low-complexity dictionary based lossless screen content coding," IEEE ICIP, Paris, France, Oct. 2014.

• Zhan Ma, Xin Feng, and Meng Xu, "Advanced screen content coding using color table and index map," IEEE ICME Workshops, Chengdu, China, July 2014.

• Junhui Hou, Shuai Wan, Zhan Ma, and Lap-Pui Chau, "Consistent Video Quality Control in Scalable Video Coding Using Dependent Distortion Quantization Model," IEEE Trans. Broadcasting, vol.59, no. 4, pp. 717-724, December 2013. 

• Hao Yin, Xu Zhang, Tongyu Zhan, Ying Zhang, Geyong Min, and Dapeng Oliver Wu. "NetClust: a Framework for Scalable and Pareto-Optimal Media Server Placement," IEEE Transaction on Multimedia, 15(8), 2114-2124, Dec. 2013.

• Zhan Ma, Felix Fernandes, and Yao Wang, “Analytical Rate Model for Compressed Video Considering Impacts Of Spatial, Temporal and Amplitude Resolutions,” IEEE ICME Workshops, San Jose, CA, July 2013

• Qirong Ma, Zhan Ma, Polin Lai, and Felix. C. A. Fernandes, "Deringing filter for scalable video coding," IEEE ICME Short Paper, 2013.

• Hao Zhang, and Zhan Ma, "Early termination schemes for fast intra prediction in high-efficiency video coding," IEEE ISCAS, Beijing, China, May 2013.

• Xiang Chen, Yiran Chen, Zhan Ma, and Felix C. A. Fernandes, “How is energy consumed in smartphone display applications,” ACM Hotmobile, Feb. 2013.

• Zhan Ma, Meng Xu, Yen-Fu Ou, and Yao Wang, “Modeling Rate and Perceptual Quality of Video as Functions of Quantization and Frame Rate and Its Applications,” IEEE Trans. Circuits and Systems for Video Technology, vol. 22, no. 5, pp. 671-682, May 2012.

• Hao Zhang, and Zhan Ma, "Fast intra prediction for High-efficiency video coding," Pacific-Rim Conf. on Multimedia, December  2012.

• Junhui Hou, Shuai Wan, Zhan Ma, Fuzheng Yang, and Lap-Pui Chau, "A new rate-quantization model for H.264/AVC low-delay rate control,"  Pacific-Rim Conf. on Multimedia, December 2012. 

• Xin Li, Zhan Ma, and Felix. C. A. Fernandes, "Modeling Power Consumption for Video Decoding on Mobile Platform and Its Application to Power-Rate Constrained Streaming," IEEE VCIP, San Diego, CA, Nov. 2012.

• Xin Li, Mian Dong, Zhan Ma, and Felix C. A. Fernandes, "GreenTube: Power Optimization for Mobile Video Streaming via Dynamic Cache Management," ACM Multimedia, Nara, Japan, Oct. 2012.

• Hao Hu, Zhan Ma, and Yao Wang, "Optimization of spatial, temporal and amplitude resolution for rate-constrained video coding and scalable video adaptation,"  IEEE ICIP, Orlando, FL, Sept. 2012.

• Xin Li, Zhan Ma, and Felix C. A. Fernandes, “Unified complexity model for H.264/AVC video coding on a mobile platform,” IEEE ICIP, Orlando, FL, Sept. 2012

• Zhan Ma, Felix C. A. Fernandes, and Yao Wang, “Power-Rate-Quality Optimized Scalable Video Adaptation,” IEEE CISS, Princeton NJ, March. 2012.

• K. S. Vadivel, F. Fernandes, Zhan Ma, P.-L. Lai, and A. Saxena, “Perceptual similarity based robust low-complexity video fingerprinting,” IEEE ICASSP, Kyoto, Japan, March. 2012

• Zhan Ma, Hao Hu, and Yao Wang, “On Complexity Modeling of H.264/AVC Video Decoding and Its Application for Energy Efficient Decoding,” IEEE Trans. Multimedia, vol. 13, no. 6, pp. 1240-1255, December 2011. [This work has been standardized as one part of ISO/IEC 23001-11]

• Yen-Fu Ou, Zhan Ma, and Yao Wang, “Perceptual Quality Assessment of Video Considering both Frame Rate and Quantization Artifacts,” IEEE Trans. Circuits and Systems for Video Technology, vol. 21, no. 3, pp. 286-298, March 2011.

• Zhan Ma, and Andrew Segall, “Low resolution decoding for high-efficiency video coding,” IASTED Signal and Image Processing Conference, Dallas, TX, December. 2011

• Zhan Ma and Andrew Segall, “Frame Buffer Compression for Low-power Video Coding,” IEEE ICIP, Brussels, Belgium, Sept. 2011.

• Zhan Ma, Meng Xu, Kyeong Yang, and Yao Wang, “Modeling Rate and Perceptual Quality of Video and Its Application to Frame Rate Adaptive Rate Control,” IEEE ICIP, Brussels, Belgium, Sept. 2011.

• Yen-Fu Ou, Yuanyi Xue, Zhan Ma, and Yao Wang, "A perceptual video quality model for mobile platform considering the impact of spatial, temporal, and amplitude resolutions," IEEE IVMSP, June 2011.

• Yuanyi Xue, Yen-Fu Ou, Zhan Ma and Yao Wang, ''Perceptual Video Quality Assessment On A Mobile Platform Considering Both Spatial Resolution And Quantization Artifacts,'' PacketVideo, Hong Kong, December 2010.

• Zhan Ma, Jiancong Luo, Peng Yin, Cristina Gomila and Yao Wang, “Smoothed Reference Inter-layer Texture Prediction for Bit Depth Scalable Video Coding,” SPIE VCIP, San Jose, Jan. 2010.

• Yen-Fu Ou, Zhan Ma, and Yao Wang, “Modeling the Impact of Frame Rate and Quantization Stepsizes and Their Temporal Variations on Perceptual Video Quality: A Review of Recent Works," IEEE CISS, Princeton, NJ, March 2009.

• Yao Wang, Zhan Ma, and Yen-Fu Ou, “Modeling Rate and Perceptual Quality of Scalable Video as Functions of Quantization and Frame Rate and Its Application in Scalable Video Adaptation,”  PacketVideo, Seattle, WA, May 2009, (Invited paper).

• Yen-Fu Ou, Zhan Ma and Yao Wang, “A Novel Quality Metric for Compressed Video Considering both Frame Rate and Quantization Artifacts,” IEEE VPQM, Arizona, 2009.

• Zhan Ma, Zhongbo Zhang, and Yao Wang, “Complexity Modeling of H.264 Entropy Decoding,” IEEE ICIP, San Diego, CA, Oct. 2008.

• Zhan Ma and Yao Wang, “Complexity Modeling of SVC Decoding,” IEEE ICASSP, Las Vegas, NV, April 2008.

• Yen-Fu Ou, Tao Liu, Zhi Zhao, Zhan Ma, and Yao Wang, “Modeling the Impact of Frame Rate on Perceptual Quality of Video,” IEEE ICIP, San Diego, CA, Oct. 2008.

• Xu Han, Wenyu Liu, Xin Jin, and Zhan Ma, "Adaptive quantization for interlaced video coding," IEEE WiCom, Wuhan, China 2006.

• Juan Liu, Bin Feng, Zhan Ma, and Wenyu Liu, "Adaptive Motion Vector Prediction Based on Spatiotemporal Correlation," IEEE WiCom, Wuhan, China, 2006.

• Zhan Ma, Xin Jin, Wenyu Liu, and Guangxi Zhu, "Complexity analysis of AVS-M Jiben profile decoder," IEEE ISPACS, Hong Kong, December 2005.

• Zhan Ma, Xin Jin, Wenyu Liu, Li Yu, and Guangxi Zhu, "Overview of AVS-M video coding standard," Journal of Video Engineering, vol.7, pp.16-20, 2005