Open threads

Research

Hypotheses, experiments, roadmaps, and research logs.

  1. Nonlinear Transform Source-Channel Coding for Semantic Communications

    NTSCC reframes DeepJSCC with learned compression priors, entropy-guided rate control, and a clearer source-channel tradeoff.

  2. Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation

    A close read of DT-JSCC/RIB, where robustness comes from preserving just enough redundant task information under digital modulation.

  3. Universal Joint Source-Channel Coding for Modulation-Agnostic Semantic Communication

    uJSCC is mainly a model-sharing argument for semantic communication across modulation orders, with switchable normalization doing the adaptation work.

  4. Vision Transformer-Based Semantic Communications With Importance-Aware Quantization

    ViT-IAQ uses pretrained attention as a bit-allocation signal, making semantic compression more modular but still dependent on calibration.

  5. Attention-Aware Semantic Communications for Collaborative Inference

    A practical edge-server inference scheme where a small ViT decides when to call the server and which patches are worth sending.

  6. Markov-Enforced Discrete Diffusion Model for Digital Semantic Symbol Error Correction

    SSCDM treats noisy semantic symbols as a Markovian correction problem rather than a generic diffusion-denoising task.