ISO MPEG

• J. Wang, R. Xue, J. Li, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, D. Wang, "[AI-3DGC] On the Training Datasets for Attribute Compression", MPEG m62176, Jan. 2023

• R. Xue, J. Wang, J. Li, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, D. Wang, "[AI-3DGC] [EE5.1-related] [EE5.3-related] Dynamic Point Cloud Geometry Compression for LiDAR Point Cloud with Ego-Motion Compensation", MPEG m62177, Jan. 2023

• J. Wang, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, and D. Wang, [AI-3DGC][EE5.3-Related] Dynamic SparsePCGC Update", MPEG m61006, Oct. 2022.

• J. Wang, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, and D. Wang, "[AI-3DGC] Lossless SparsePCAC: Multiscale Sparse Representation for Lossless Point Cloud Attribute Compression", MPEG m61007, Oct. 2022.
  

• X. Wang, Z.Ma, V. Zakharchenko, Y. Yu, H. Wei, and D. Wang, "[V-DMC] Displacement Reverse Packing for Dynamic Mesh Coding", MPEG m60954, Oct. 2022. [Adopted]
  

• J. Wang, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, D. Wang, "[AI-3DGC][EE13.54-related] SparsePCGCv1 Update: Improvements on Dense/Sparse/LiDAR Point Clouds", MPEG m60352, July 2022.

• R. Xue, J. Wang, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, D. Wang, "[AI-3DGC][EE13.54-related] SparsePCGCv2: Multihead Neighborhood Point Attention for Sparse Point Clouds", MPEG m60353, July 2022.

• J. Wang, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, D. Wang, "[AI-3DGC][EE13.54-related] SparsePCGCv3: Dynamic SparsePCGC with Inter Frame Prediction", MPEG m60354, July 2022.
  

• J. Wang, R. Xue, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, D. Wang, "[AI-3DGC] [EE13.54-related] SparsePCGCv2: Improved SparsePCGC with attention mechanism", MPEG m59552, April 2022.

• J. Wang, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, D. Wang, "[AI-3DGC][EE13.54-Related] Point Cloud Geometry Compression Using Sparse Tensor-based Multiscale Representation", MPEG m59035, Jan. 2022.

• J. Wang, Z. Ma, H. Wei, Y. Yu, V. Zakharchenko, D. Wang, "[AI-3DGC] Point Cloud Attribute Compression Using Sparse Tensor Representation", MPEG m59037, Jan. 2022.
  

• Ming Lu, Zhan Ma, Z. Dai, and D. Wang, "EE1-Related: Tests on Decomposition, Compression, Synthesis (DCS)-based Technology", JVET-W0125, July 2021.

• Ming Lu, Zhan Ma, Z. Dai, and D. Wang, "EE1: Tests on Decomposition, Compression, Synthesis (DCS)-based Technology", JVET-V0149, April 2021.

• Ming Lu, Zhan Ma, L. Xu, and D. Wang, "EE: Tests on Decomposition, Compression, Synthesis (DCS)-based Technology", JVET-U0096, Jan. 2021.
  

• Ming Lu, and Zhan Ma, "[DNNVC] Decomposition, Compression, Synthesis (DCS)-based Framework: A New Exploration on Video Coding", JVET-T0125/MPEG m55553, Oct. 2020

• Haojie Liu, Tong Chen, Ming Lu, Zhan Ma, Yao Wang, Zhihuang Xie, Fan Wang, Dong Wang, Lin Yang, "[DNNVC] End-to-end neural video coding - from pixel prediction to feature sensing", m54341, Online, June 2020.

• Qi Xia, Haojie Liu, Zhan Ma, Zhihuang Xie, Fan Wang, Dong Wang, "[VCM] Object-based neural image coding: compression and task evidence", m54342, Online, June 2020.

• Zhihao Li, Zhan Ma, Lin Yang, Li Wang, "[VCM] Camera RAW image coding via end-to-end leaerning", m54343, Online, June 2020.

• Zhan Ma, "Objective metric for predicting the perceptual quality of immersive video", m54344, Online, June 2020.
  

• Zhan Ma, Ming Cheng, Yiling Xu, Lin Yang, '[VCM] Learnt Synthesis of High Spatiotemporal Video Acquisition for Surveillance and Autonomous Driving', m52798, Brussels, Jan. 2020. 

• Zhan Ma, Qi Xia, Haojie Liu, Lin Yang, '[VCM] Learnt Object Coding for Machine Intelligence', m52797, Brussels, Jan. 2020.

• Yongxiong Ren, Tong Chen, Yinbo Shi, Yequn Zhan, Yi Fan, Bin Yang, Patrick Dong, Xiaochun Li, Kimble Dong, Zhan Ma, Manouchehr Rafie, Lin Yang, '[VCM] Neural Image Compression for Large Scale Machine Processing', m52540, Brussels, Jan. 2020

• Yiling Xu, Jiaoyang Yin, Qi Yang, Wenjun Zhang, Zhan Ma, Jenq-Neng Hwang, "[NBMP] Use case and requirement for video content control for NBMP', m52296, Brussels, Jan. 2020.

• Zhan Ma, Haojie Liu, Tong Chen, and Lin Yang, "Joint Image Content Understanding and Compression via Learning for VCM", m51383, Geneva, CH, Oct. 2019. [Standardization Group Launched]

• Yiling Xu, Qi Yang, Wenjun Zhang, Zhan Ma, and Jenq-renq Hwang, "NBMP function update based on workflow management', m49040, Gothenburg, Sweden, July 2019 [Adopted].

• Yiling Xu, Zhe Li, Qi Yang, Wenjun Zhang, Zhan Ma, Jenq-Neng Hwang, "[PCC&SYSTEM] Comments on Storage of V-PCC', m47437, March 2019. 

• Yiling Xu, Wenjun Zhang, Zhan Ma, Shaowei Xie, Yunqiao Li, "[OMAF] Region-wise Spatial Label based on user consumption information', M41580, Oct. 2017

• Yiling Xu, Zhan Ma, Qiu Shen, Ming Cheng, Teng Li, Wenjun Zhang, "Update for additional use case and requirement for network-based media processing: multi-client interacting', M41873, Oct. 2017

• Yiling Xu, Zhan Ma, Qiu Shen, Teng Li, Ming Cheng, Wenjun Zhang, Zhengneng Huang, "Additional use case and requirement for network distributed video coding: Cache', M40443, April 2017
  

• Zhan Ma, Yiling Xu, Qiu Shen, Ming Cheng, Teng Li, Wenjun Zhang, "Use case and Requirements for Fine-grain Tile or Sub-picture', M40441, April 2017

• Zhan Ma, Yiling Xu, Yunqiao Li, Shaowei Xie, Wenjun Zhang, '[OMAF] Spatial label for ROI indication based on user consumption information', M41015, July 2017

• Yiling Xu, Ying Hu, Shaowei Xie, Wenjun Zhang, Zhan Ma, "FOV Indication Message for Adaptive VR Streaming", M39820, Jan. 2017
  

• Yiling Xu, Ying Hu, Shaowei Xie, Wenjun Zhang, Zhan Ma, "Session control modification in VoD case', M39822, Jan. 2017

• Yiling Xu, Ying Hu, Shaowei Xie, Wenjun Zhang, Zhan Ma, "Start time in session control of VoD case”, M39823, Jan. 2017

IEEE 1857

• Xining Wang, Tong Chen, Ming Lu, Zhan Ma, Fangdong Chen, “Context model acceleration for NIC: Multistage context model and entropy engine optimization”, VC-43-M378, Apr. 2023.

• Ming Lu, Tong Chen, Xining Wang, Fangdong Chen, Shiliang Pu, and Zhan Ma, "Response to the Call for Proposals on Neural Network-Based Image Coding by Team um3daK", VC-38-M329, June 2022.

• Tong Chen, Ming Lu, Xining Wang, Fangdong Chen, Shiliang Pu, and Zhan Ma, "Towards Robust Neural Image Compression", VC-38-M346, June 2022.

• Tong Chen, Zhihao Duan, Li Wang, and Zhan Ma, "Towards the Standardization of NIC", VC-34-M296, June 2021.
  

• Xining Wang, Tong Chen, Zhan Ma, Dong Wang, Zhihuang Xie, Fan Wang, "Codec using overlapping blocks", VC-32-M273, Dec. 2020.

• Xining Wang, Tong Chen, Zhan Ma, Dong Wang, Zhihuang Xie, Fan Wang, "The impact of block size on codec performance", VC-32-M273, Dec. 2020.
  

• Tong Chen, Haojie Liu, Ming Lu, and Zhan Ma, “Description of Deep Learning-Based Image Compression Technology Proposal by Nanjing University”, VC-30-M256, June 2020. (低码率大幅超越HEVC图像编码；超低码率视觉质量大幅领先VVC图像编码；核心模块组织新一代图像编码参考模型。)

AVS

• 马展，夏琪，刘浩杰，徐陆航，谢志煌，王东，“基于目标的端到端智能视频编码”，AVS-M6470，June 2021

• 马展，夏琪，刘浩杰，徐陆航，谢志煌，王东，“基于多目标的端到端智能编码及其应用”，AVS-M6468，June 2021

• 陆明, 马展，徐陆航，戴震宇，王东，“Decomposition, Compression, & Syntehsis (DCS)-based Video Coding”, M5985, Dec. 2020.

• 李智昊, 马展，丁丹丹，王莉，“图像原始数据压缩：初步探索与建议”, M5984, Dec. 2020.
  

• 徐异凌, 杨琦, 马展, 许晓中, “面向人眼视觉任务的点云质量评价需求提案”, M5287, June 2020.

• 马展, 陈浩, “云游戏系统分析及标准化建议”, M5293, June 2020.

• 王剑强, 马展, “多尺度点云几何属性编码 （Multiscale Point Cloud Geometry Compression)”, M5294, June 2020.

• 李智昊, 马展, “RAW图像视频编码技术及标准化建议”, M5295, June 2020.

• 马展, “端到端图像视频智能编码进展报告”, M5296, June 2020. (发布E2E AI Model 2.0)

• 马展, “移动视频质量评价模型建议”, M5313, June 2020. （接收为移动视频参考模型）

• 杨琦, 徐异凌, 马展, “关于面向人眼视觉任务的点云质量评价模型”, M5427, June 2020.

• 夏琪，刘浩杰，马展，"基于端到端学习的对象编码"，M5446，June 2020. (合并进入E2E AI模型分支）

• 马展，马思伟，徐异凌，虞露，“基于端到端学习的视频图像压缩传输标准需求建议（AVS-AI）”，M4794，June 2019.（成立小组进行E2E压缩工作）

• 沈秋，许刘泽，陆明，马展，徐异凌，陈浩，钱鞘剑，“沉浸媒体系统_交互反馈信息中的旋转表达”，M4855， June 2019.

• 马展，王剑强，朱昊，沈秋，叶龙，徐异凌，“AVS E2E-AI点云压缩性能报告及基础模型建议”， M4948，August 2019.  (接收为点云基础模型进行探索研究和标准化)

• 马展，刘浩杰，陈彤，陆明，沈秋，“AVS E2E AI视频压缩性能报告及基础模型建议”，M4949，August 2019. (接收为智能编码基础模型进行探索研究和标准化)

• 马展，沈秋，徐异凌，陈浩，谢绍伟， 巫梦飞，李昕，熊涛，左晶，王凡钊， David J Brady，“沉浸式媒体系统传输新需求”, M4271, 2017/8/22

• 陈彤，刘浩杰，沈秋，马展, '基于端到端学习的图像压缩|', M4415, June 2018. 

• 马展，沈秋, 徐异凌，陈浩，谢绍伟,  巫梦飞，李昕, 熊涛，左晶，王凡钊, David J. Brady, '沉浸式视频处理与传输关键技术', M4378, June 2018.

• 刘浩杰，陈彤，沈秋，马展, '智能编码技术调研与性能测试', M4377, June 2018.

• 徐异凌，黄倩，李韵乔, 马展，沈秋, '基于智能媒体传输-SMT的沉浸媒体资源描述子', M4424, June 2018. (Adopted)

• 马展，沈秋, 徐异凌，李哲，谢绍伟, '沉浸媒体系统智能媒体传输-SMT交互反馈信令', M4425, June 2018. (Adopted)

• 沈秋，马展，徐异凌，黄倩，谢绍伟，高粼遥，李韵乔，陈浩，宋翼，邸佩云，王业奎，巫梦飞，李昕，“沉浸媒体系统：交互反馈信息”，M4589，Dec 2018. (Adopted)

• 马展, 曹汛, 徐异凌, 谢绍伟, 胡颖, 陈浩, 李昕, “沉浸式媒体的传输系统框架”, M0006, 2016/4/1
  

• Yiling Xu, Ying Hu, Ming Chen, Liangji Ma, Shaowei Xie, Zhan Ma, Tong Chen, Haojie Liu, “FoV indication message for VR Video in SMT”, M1076, 2016/12/15

• Yiling Xu, Ying Hu, Ming Chen, Liangji Ma, Shaowei Xie, Zhan Ma, Tong Chen, Haojie Liu, “nteraction and Feedback Mechanism for Immersive Media in SMT”, M1052, 2016/12/15

• 徐异凌，马展，谢绍伟，陈浩，“智能媒体传输（SMT）框架”, M3812, August 2015.

JPEG AI & Pleno

• Xining Wang, Tong Chen, Ming Lu, Zongmiao Ye, Fangdong Chen, Zhan Ma, Yaojun Wu, Semih Esenlik, Kai Zhang, Li Zhang, “CPM-[JPEG AI CE] Report of 3.11-Acceleration of Context Modules”, ISO-IEC JTC 1-SC 29-WG 1 m99064, Apr. 2023. [Adopted]

• Yuzhuo Kong, Tong Chen, Ming Lu, Fangdong Chen, Zhan Ma1, “JPEG AI CE3.2: Simplification of Attention Modules in JPEG AI VM by Nanjing University”, ISO-IEC JTC 1-SC 29-WG 1 m99044 Apr. 2023.

• Xining Wang, Ming Lu, TongChen, Yuzhuo Kong, Fangdong Chen, Zhan Ma, "Multistage context model for JPEG AI VM",  ISO/IEC JTC 1/SC 29 /WG 1 M98085, Jan. 2023. 

• Ming Lu, Tong Chen, Yuzhuo Kong, Shilian Pu, Fangdong Chen, Zhan Ma, "Simplified RNAB model in analysis and synthesis transform", ISO/IEC JTC 1/SC29/WG1 wg1m98084, Jan. 2023.

• J. Zhang, D. Ding, and Z. Ma, “Removing Compression Artifact for Point Cloud Attribute ”, JPEG WG1m98062, Jan. 2023.

• Tong Chen, Ming Lu, Zhihao Duan, Xining Wang, Muchen Dong, Fengqing Zhu, Fangdong Chen, Shiliang Pu, and Zhan Ma, "NJUVISION Response to the JPEG AI Call for Proposals", wg1m96066, July 2022.