Jixiang Luo

Orcid: 0009-0002-4698-7835

According to our database1, Jixiang Luo authored at least 29 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Efficiently Aligning Draft Models via Parameter- and Data-Efficient Adaptation.
CoRR, March, 2026

TeleMem: Building Long-Term and Multimodal Memory for Agentic AI.
CoRR, January, 2026

Boosting Large Language Models for Mental Manipulation Detection via Data Augmentation and Distillation.
Proceedings of the ACM Web Conference 2026, 2026

STMI: Segmentation-Guided Token Modulation with Cross-Modal Hypergraph Interaction for Multi-Modal Object Re-Identification.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Generative Video Compression: Towards 0.01% Compression Rate for Video Transmission.
CoRR, December, 2025

Beyond Heuristics: A Decision-Theoretic Framework for Agent Memory Management.
CoRR, December, 2025

EV-NVC: Efficient Variable bitrate Neural Video Compression.
CoRR, November, 2025

TeleEgo: Benchmarking Egocentric AI Assistants in the Wild.
CoRR, October, 2025

Infinite Video Understanding.
CoRR, July, 2025

Conversational Agents: From RAG to LTM.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Rethinking Learned Image Compression: Context is All You Need.
CoRR, 2024

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

Task-Aware Encoder Control for Deep Video Compression.
CoRR, 2024

Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization.
CoRR, 2024

Task-Aware Encoder Control for Deep Video Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learned Lossless Compression for JPEG via Frequency-Domain Prediction.
CoRR, 2023

Bit Allocation using Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Unified Learning-Based Lossy and Lossless Jpeg Recompression.
Proceedings of the IEEE International Conference on Image Processing, 2023

Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Evaluating the Practicality of Learned Image Compression.
CoRR, 2022

Efficient Decoder for Learned Image Compression via Structured Pruning.
Proceedings of the Data Compression Conference, 2022

Video Compression via Inter-frame Chroma Prediction.
Proceedings of the Data Compression Conference, 2022

PO-ELIC: Perception-Oriented Efficient Learned Image Coding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising.
CoRR, 2021

Learned Image Compression with Channel-Wise Grouped Context Modeling.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Lossless Compression for Video Streams with Frequency Prediction and Macro Block Merging.
Proceedings of the 31st Data Compression Conference, 2021

2020
Spatial-Channel Context-Based Entropy Modeling for End-to-end Optimized Image Compression.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding.
Proceedings of the Data Compression Conference, 2020


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