CNShanghai Jiao Tong UniversitySchool of Integrated Circuits (Information and Electronic Engineering)
Guo Lu
副教授
Works on learned video coding and multimedia processing.
Guo Lu's lab at SJTU works on video understanding. 52 papers since 2023, 26 at top venues, mostly ACM MM and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 50%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 18 papers2026 · T1 7 · collecting
- 17 papers2025 · T1 11
- 13 papers2024 · T1 5
- 4 papers2023 · T1 3
T1 venuesOtherVenues: ACM MM, CVPR, TIP, ECCV, AAAI
Research focuspaper titles that use each topic's words
- Video understanding22 papers
- learned9 papers
- coding2 papers
- video coding1 paper
- multimedia processing0 papers
Paper list
From the lab homepage.
202618 papers
- CVPR (T1)Adaptive Learned Image Compression with Graph Neural Networks
- TIP (T1)Compressing 3D Gaussian Splatting via Cross-Representation Priors
- ICLR (T1)Content-aware mamba for learned image compression
- TOMMDiff-VF: Training-free High-quality Long Video Generation via Diffusion Model
- IEEE TCCNDiT-JSCC: Rethinking Deep JSCC With Diffusion Transformers and Semantic Representations
- IEEE T-CSVTDual-Representation Image Compression at Ultra-Low Bitrates via Explicit Semantics and Implicit Textures
- ACM MMEvery Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression
- IEEE TBCFree-GVC: Towards Training-Free Extreme Generative Video Compression with Temporal Coherence
- IEEE COMSTGenerative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
- ACM MMGVC-RT: Towards Real-Time Generative Video Compression at Ultra-Low Bitrates
- IEEE T-CSVTLarge language model for lossless image compression with visual prompts
- IEEE TMCLoss-Resilient Semantic Communication over Packet-Loss Networks at Extreme-Low Bandwidth
202517 papers
- PCSA Multi-Grid Implicit Neural Representation for Multi-View Videos
- AAAI (T1)Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
- ISCASDifferentiable VMAF: A trainable metric for optimizing video compression codec
- WCSPEfficient Video Semantic Transmission Needs Generative Latent Priors
- NeurIPS (T1)H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting
- CVPR (T1)Image Quality Assessment: From Human to Machine Preference
- TIP (T1)Implicit-Explicit Integrated Representations for Multi-View Video Compression
- TIP (T1)Instance-Adaptive Spatial-Temporal Enhancement for Efficient Video Compression
- ICCV (T1)Knowledge Distillation for Learned Image Compression
- AAAI (T1)L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
- CVPR (T1)Linear Attention Modeling for Learned Image Compression
- TIP (T1)MISC: Ultra-Low Bitrate Image Semantic Compression Driven by Large Multimodal Model
202413 papers
- IEEE T-CSVTA Character Position-Aware Compression Framework for Screen Text Image
- TPAMI (T1)A Coding Framework and Benchmark Towards Low-Bitrate Video Understanding
- VCIPAsymLLIC: Asymmetric Lightweight Learned Image Compression
- VCIPCoarse-to-fine Transformer For Lossless 3D Medical Image Compression
- VCIPEfficient Bitrate Ladder Construction for Per-Shot Adaptive Encoding
- ACM MMEfficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization
- ECCV (T1)Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compression
- ECCV (T1)GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
- IEEE T-BCLong-Term and Short-Term Information Propagation and Fusion for Learned Video Compression
- ICLR (T1)Neural rate control for learned video compression
- IEEE T-CSVTPreprocessing Enhanced Image Compression for Machine Vision
- ACM MMRate-aware Compression for NeRF-based Volumetric Video
20234 papers
- TIP (T1)CBANet: Toward Complexity and Bitrate Adaptive Deep Image Compression Using a Single Network
- VCIPHigh-Fidelity Free-View Talking Head Synthesis for Low-Bandwidth Video Conference
- ICCV (T1)Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression
- VLDB (T1)TVM: A Tile-based Video Management Framework
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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