Merge mode based fast inter prediction for HEVC. - Zhengxue Cheng; Heming Sun; Dajiang Zhou; Shinji Kimura (VCIP, 2015)

Subjective QoE based HEVC encoder adaptation scheme for multi-user video streaming. - Zhengxue Cheng; Lianghui Ding; Wei Huang 012; Feng Yang 006; Liang Qian (BMSB, 2016)

A unified QoE prediction framework for HEVC encoded video streaming over wireless networks. - Zhengxue Cheng; Lianghui Ding; Wei Huang 012; Feng Yang 006; Liang Qian (BMSB, 2017)

A low-cost approximate 32-point transform architecture. - Heming Sun; Zhengxue Cheng; Amir Masoud Gharehbaghi; Shinji Kimura; Masahiro Fujita (ISCAS, 2017)

A Pre-Saliency Map Based Blind Image Quality Assessment via Convolutional Neural Networks. - Zhengxue Cheng; Masaru Takeuchi; Jiro Katto (ISM, 2017)

Accelerating HEVC Inter Prediction with Improved Merge Mode Handling. - Zhengxue Cheng; Heming Sun; Dajiang Zhou; Shinji Kimura (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

A QoE-Driven Encoder Adaptation Scheme for Multi-User Video Streaming in Wireless Networks. - Liang Qian; Zhengxue Cheng; Zheng Fang 005; Lianghui Ding; Feng Yang 006; Wei Huang 012 (IEEE Trans. Broadcast., 2017)

Performance Comparison of Convolutional AutoEncoders, Generative Adversarial Networks and Super-Resolution for Image Compression. - Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto (CVPR Workshops, 2018)

A Fast No-Reference Screen Content Image Quality Prediction Using Convolutional Neural Networks. - Zhengxue Cheng; Masaru Takeuchi; Kenji Kanai; Jiro Katto (ICME Workshops, 2018)

Deep Inverse Tone Mapping Optimized for High Dynamic Range Display. - Katsuhiko Hirao; Zhengxue Cheng; Masaru Takeuchi; Jiro Katto (ICTC, 2018)

Light-Weight Video Coding Based on Perceptual Video Quality for Live Streaming. - Yusuke Sakamoto; Shintaro Saika; Masaru Takeuchi; Tatsuya Nagashima; Zhengxue Cheng; Kenji Kanai; Jiro Katto; Kaijin Wei; Ju Zengwei; Xu Wei (ISM, 2018)

Deep Convolutional AutoEncoder-based Lossy Image Compression. - Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto (PCS, 2018)

Perceptual Quality Driven Adaptive Video Coding Using JND Estimation. - Masaru Takeuchi; Shintaro Saika; Yusuke Sakamoto; Tatsuya Nagashima; Zhengxue Cheng; Kenji Kanai; Jiro Katto; Kaijin Wei; Ju Zengwei; Xu Wei (PCS, 2018)

A Fully-Blind and Fast Image Quality Predictor with Convolutional Neural Networks. - Zhengxue Cheng; Masaru Takeuchi; Kenji Kanai; Jiro Katto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Learning Image and Video Compression Through Spatial-Temporal Energy Compaction. - Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto (CVPR, 2019)

Deep Residual Learning for Image Compression. - Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto (CVPR Workshops, 2019)

Convolutional Neural Network based Inverse Tone Mapping for High Dynamic Range Display using LUCORE. - Katsuhiko Hirao; Zhengxue Cheng; Masaru Takeuchi; Jiro Katto (ICCE, 2019)

Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images. - Masaki Yasumaru; Zhengxue Cheng; Ryota Yoloyama; Kenji Kanai; Jiro Katto (ICCE, 2019)

Perceptual Quality Study on Deep Learning Based Image Compression. - Zhengxue Cheng; Pinar Akyazi; Heming Sun; Jiro Katto; Touradj Ebrahimi (ICIP, 2019)

Dual Learning-based Video Coding with Inception Dense Blocks. - Chao Liu 027; Heming Sun; Junan Chen; Zhengxue Cheng; Masaru Takeuchi; Jiro Katto; Xiaoyang Zeng; Yibo Fan (PCS, 2019)

Heel-Contact Gait Phase Detection Based on Specific Poses with Muscle Deformation. - Tamon Miyake; Zhengxue Cheng; Satoshi Hosono; Shintaro Yamamoto; Satoshi Funabashi; Cheng Zhang 007; Emi Tamaki (ROBIO, 2019)

Methods for Adaptive Video Streaming and Picture Quality Assessment to Improve QoS/QoE Performances. - Kenji Kanai; Bo Wei 001; Zhengxue Cheng; Masaru Takeuchi; Jiro Katto (IEICE Trans. Commun., 2019)

Approximate DCT Design for Video Encoding Based on Novel Truncation Scheme. - Heming Sun; Zhengxue Cheng; Amir Masoud Gharehbaghi; Shinji Kimura; Masahiro Fujita (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Low Bitrate Image Compression with Discretized Gaussian Mixture Likelihoods. - Zhengxue Cheng; Heming Sun; Jiro Katto (CVPR Workshops, 2020)

Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules. - Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto (CVPR, 2020)

HEVC Video Coding with Deep Learning Based Frame Interpolation. - Joi Shimizu; Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto (GCCE, 2020)

Learned Lossless Image Compression with A Hyperprior and Discretized Gaussian Mixture Likelihoods. - Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto (ICASSP, 2020)

Scalable Learned Image Compression With A Recurrent Neural Networks-Based Hyperprior. - Rige Su; Zhengxue Cheng; Heming Sun; Jiro Katto (ICIP, 2020)

End-To-End Learned Image Compression With Fixed Point Weight Quantization. - Heming Sun; Zhengxue Cheng; Masaru Takeuchi; Jiro Katto (ICIP, 2020)

Energy Compaction-Based Image Compression Using Convolutional AutoEncoder. - Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto (IEEE Trans. Multim., 2020)

Enhanced Intra Prediction for Video Coding by Using Multiple Neural Networks. - Heming Sun; Zhengxue Cheng; Masaru Takeuchi; Jiro Katto (IEEE Trans. Multim., 2020)

Perceptual Image Compression Using Relativistic Average Least Squares GANs. - Zhengxue Cheng; Ting Fu; Jiapeng Hu; Li Guo 006; Shihao Wang; Xiongxin Zhao; Dajiang Zhou; Yang Song (CVPR Workshops, 2021)

Gait Phase Detection Based on Muscle Deformation with Static Standing-Based Calibration. - Tamon Miyake; Shintaro Yamamoto; Satoshi Hosono; Satoshi Funabashi; Zhengxue Cheng; Cheng Zhang 007; Emi Tamaki; Shigeki Sugano (Sensors, 2021)

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. - Marcos V. Conde; Eduard Zamfir; Radu Timofte; Daniel Motilla; Cen Liu; Zexin Zhang; Yunbo Peng; Yue Lin 002; Jiaming Guo; Xueyi Zou; Yuyi Chen; Yi Liu; et al. (CVPR Workshops, 2023)

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. - Maksim Smirnov; Aleksandr Gushchin; Anastasia Antsiferova; Dmitriy S. Vatolin; Radu Timofte; Ziheng Jia; Zicheng Zhang; Wei Sun 029; Jiaying Qian; Yuqin Cao; Yinan Sun; Yuxin Zhu; et al. (ECCV Workshops (10), 2024)

Rate-aware Compression for NeRF-based Volumetric Video. - Zhiyu Zhang; Guo Lu; Huanxiong Liang; Zhengxue Cheng; Anni Tang; Li Song 001 (ACM Multimedia, 2024)

AsymLLIC: Asymmetric Lightweight Learned Image Compression. - Shen Wang 013; Zhengxue Cheng; Donghui Feng 003; Guo Lu; Li Song 001; Wenjun Zhang 001 (VCIP, 2024)

Coarse-to-fine Transformer For Lossless 3D Medical Image Compression. - Xiaoxuan Yang; Guo Lu; Donghui Feng 003; Zhengxue Cheng; Guosheng Yu; Li Song 001 (VCIP, 2024)

Efficient Bitrate Ladder Construction for Per-Shot Adaptive Encoding. - Yan Zhao; Zhengxue Cheng; Guo Lu; Rong Xie; Li Song 001 (VCIP, 2024)

Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration. - Yuhong Zhang; Hengsheng Zhang; Xinning Chai; Zhengxue Cheng; Rong Xie; Li Song 001; Wenjun Zhang 001 (CoRR, 2024)

Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression. - Ruijie Chen; Qi Mao; Zhengxue Cheng (CoRR, 2024)

Long-Term and Short-Term Information Propagation and Fusion for Learned Video Compression. - Shen Wang 013; Donghui Feng 003; Guo Lu; Zhengxue Cheng; Li Song 001; Wenjun Zhang 001 (IEEE Trans. Broadcast., 2024)

VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression. - Qiang Hu 003; Houqiang Zhong; Zihan Zheng; Xiaoyun Zhang 001; Zhengxue Cheng; Li Song 001; Guangtao Zhai; Yanfeng Wang 001 (AAAI, 2025)

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression. - Junxuan Zhang; Zhengxue Cheng; Yan Zhao; Shihao Wang; Dajiang Zhou; Guo Lu; Li Song (AAAI, 2025)

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression. - Chuqin Zhou; Guo Lu; Jiangchuan Li; Xiangyu Chen; Zhengxue Cheng; Li Song 001; Wenjun Zhang 001 (AAAI, 2025)

Linear Attention Modeling for Learned Image Compression. - Donghui Feng 003; Zhengxue Cheng; Shen Wang 013; Ronghua Wu; Hongwei Hu; Guo Lu; Li Song 001 (CVPR, 2025)

Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution. - Xinning Chai; Yao Zhang; Yuxuan Zhang; Zhengxue Cheng; Yingsheng Qin; Yucai Yang; Li Song (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results. - Xin Li; Kun Yuan; Bingchen Li; Fengbin Guan; Yizhen Shao; Zihao Yu; Xijun Wang; Yiting Lu; Wei Luo; Suhang Yao; Ming Sun; Chao Zhou; et al. (CVPR Workshops, 2025)

Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution. - Yiwen Wang; Ying Liang; Yuxuan Zhang; Xinning Chai; Zhengxue Cheng; Yingsheng Qin; Yucai Yang; Rong Xie; Li Song 001 (CVPR Workshops, 2025)

Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-Generated Image Compression. - Ruijie Chen; Qi Mao 002; Zhengxue Cheng (DCC, 2025)

Rate-Aware Learned Speech Compression. - Jun Xu; Zhengxue Cheng; Guangchuan Chi; Yuhan Liu; Yuelin Hu; Li Song (ISCAS, 2025)

SemanticColorizer: Improving color semantic rationality for vivid automatic image colorization. - Xinning Chai; Zhengxue Cheng; Hengsheng Zhang; Rong Xie; Li Song 001 (Displays, 2025)

Large Language Model for Lossless Image Compression with Visual Prompts. - Junhao Du; Chuqin Zhou; Ning Cao; Gang Chen; Yunuo Chen 002; Zhengxue Cheng; Li Song 001; Guo Lu; Wenjun Zhang 001 (CoRR, 2025)

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report. - Bin Ren; Hang Guo; Lei Sun 016; Zongwei Wu; Radu Timofte; Yawei Li 001; Yao Zhang; Xinning Chai; Zhengxue Cheng; Yingsheng Qin; Yucai Yang; Li Song; et al. (CoRR, 2025)

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results. - Xin Li; Kun Yuan 003; Bingchen Li; Fengbin Guan; Yizhen Shao; Zihao Yu; Xijun Wang; Yiting Lu; Wei Luo; Suhang Yao; Ming Sun; Chao Zhou; et al. (CoRR, 2025)

DualComp: End-to-End Learning of a Unified Dual-Modality Lossless Compressor. - Yan Zhao; Zhengxue Cheng; Junxuan Zhang; Qunshan Gu; Qi Wang; Li Song (CoRR, 2025)

TacCompress: A Benchmark for Multi-Point Tactile Data Compression in Dexterous Manipulation. - Yang Li; Yan Zhao; Zhengxue Cheng; Hengdi Zhang (CoRR, 2025)

Perceptual Quality Assessment for Embodied AI. - Chunyi Li; Jiaohao Xiao; Jianbo Zhang; Farong Wen; Zicheng Zhang; Yuan Tian 017; Xiangyang Zhu; Xiaohong Liu 001; Zhengxue Cheng; Weisi Lin; Guangtao Zhai (CoRR, 2025)

D-FCGS: Feedforward Compression of Dynamic Gaussian Splatting for Free-Viewpoint Videos. - Wenkang Zhang; Yan Zhao; Qiang Wang; Li Song 001; Zhengxue Cheng (CoRR, 2025)

SSP-IR: Semantic and Structure Priors for Diffusion-Based Realistic Image Restoration. - Yuhong Zhang; Hengsheng Zhang; Zhengxue Cheng; Rong Xie; Li Song 001; Wenjun Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Semantic and Temporal Integration in Latent Diffusion Space for High-Fidelity Video Super-Resolution. - Yiwen Wang; Xinning Chai; Yuhong Zhang; Zhengxue Cheng; Jun Zhao; Rong Xie; Li Song 001 (CoRR, 2025)

PA-HOI: A Physics-Aware Human and Object Interaction Dataset. - Ruiyan Wang; Lin Zuo; Zonghao Lin; Qiang Wang; Zhengxue Cheng; Rong Xie; Jun Ling; Li Song (CoRR, 2025)

Static and Plugged: Make Embodied Evaluation Simple. - Jiahao Xiao; Jianbo Zhang; BoWen Yan; Shengyu Guo; Tongrui Ye; Kaiwei Zhang; Zicheng Zhang; Xiaohong Liu 001; Zhengxue Cheng; Lei Fan; Chuyi Li; Guangtao Zhai (CoRR, 2025)

OmniVTLA: Vision-Tactile-Language-Action Model with Semantic-Aligned Tactile Sensing. - Zhengxue Cheng; Yiqian Zhang; Wenkang Zhang; Haoyu Li; Keyu Wang; Li Song; Hengdi Zhang (CoRR, 2025)

Comp-X: On Defining an Interactive Learned Image Compression Paradigm With Expert-driven LLM Agent. - Yixin Gao; Xin Li 082; Xiaohan Pan; Runsen Feng; Bingchen Li; Yunpeng Qi; Yiting Lu; Zhengxue Cheng; Zhibo Chen 001; Jörn Ostermann (CoRR, 2025)