Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding. - Jixiang Luo; Shaohui Li; Wenrui Dai; Yuhui Xu; De Cheng; Gang Li; Hongkai Xiong (DCC, 2020)

Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized Image Compression. - Chongxin Li; Jixiang Luo; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (VCIP, 2020)

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging. - Jixiang Luo; Shaohui Li; Wenrui Dai; De Cheng; Gang Li; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2021)

Learned Image Compression with Channel-Wise Grouped Context Modeling. - Liang Yuan; Jixiang Luo; Shaohui Li; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (ICIP, 2021)

RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising. - Kecheng Chen; Jiayu Sun; Jiang Shen; Jixiang Luo; Xinyu Zhang; Xuelin Pan; Dongsheng Wu; Yue Zhao; Miguel Bento; Yazhou Ren 001; Xiaorong Pu (CoRR, 2021)

PO-ELIC: Perception-Oriented Efficient Learned Image Coding. - Dailan He; Ziming Yang; Hongjiu Yu; Tongda Xu; Jixiang Luo; Yuan Chen; Chenjian Gao; Xinjie Shi; Hongwei Qin; Yan Wang 080 (CVPR Workshops, 2022)

Video Compression via Inter-frame Chroma Prediction. - Rulin Huang; Shaohui Li; Wenrui Dai; Jixiang Luo; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2022)

Efficient Decoder for Learned Image Compression via Structured Pruning. - Liewen Liao; Shaohui Li; Jixiang Luo; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (DCC, 2022)

Evaluating the Practicality of Learned Image Compression. - Hongjiu Yu; Qiancheng Sun; Jin Hu; Xingyuan Xue; Jixiang Luo; Dailan He; Yilong Li; Pengbo Wang; Yuanyuan Wang; Yaxu Dai; Yan Wang 080; Hongwei Qin (CoRR, 2022)

Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis. - Haoran Lv; Junyi Liu; Henan Wang; Yaoming Wang; Jixiang Luo; Yaxiao Liu (EACL, 2023)

Unified Learning-Based Lossy and Lossless Jpeg Recompression. - Jianghui Zhang; Yuanyuan Wang; Lina Guo; Jixiang Luo; Tongda Xu; Yan Wang 105; Zhi Wang; Hongwei Qin (ICIP, 2023)

Bit Allocation using Optimization. - Tongda Xu; Han Gao; Chenjian Gao; Yuanyuan Wang; Dailan He; Jinyong Pi; Jixiang Luo; Ziyu Zhu; Mao Ye 001; Hongwei Qin; Yan Wang 080; Jingjing Liu; et al. (ICML, 2023)

Learned Lossless Compression for JPEG via Frequency-Domain Prediction. - Jixiang Luo; Shaohui Li; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong (CoRR, 2023)

Task-Aware Encoder Control for Deep Video Compression. - Xingtong Ge; Jixiang Luo; Xinjie Zhang; Tongda Xu; Guo Lu; Dailan He; Jing Geng; Yan Wang 105; Jun Zhang 004; Hongwei Qin (CVPR, 2024)

Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization. - Jixiang Luo; Yan Wang; Hongwei Qin (CoRR, 2024)

Task-Aware Encoder Control for Deep Video Compression. - Xingtong Ge; Jixiang Luo; Xinjie Zhang; Tongda Xu; Guo Lu; Dailan He; Jing Geng; Yan Wang 080; Jun Zhang; Hongwei Qin (CoRR, 2024)

Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression. - Jixiang Luo (CoRR, 2024)

Rethinking Learned Image Compression: Context is All You Need. - Jixiang Luo (CoRR, 2024)

SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding. - Qianqian Sun; Jixiang Luo; Dell Zhang; Xuelong Li 001 (CoRR, 2025)

Infinite Video Understanding. - Dell Zhang; Xiangyu Chen 006; Jixiang Luo; Mengxi Jia; Changzhi Sun; Ruilong Ren; Jingren Liu; Hao Sun; Xuelong Li 001 (CoRR, 2025)