2025

06 月

06-10 论文笔记《IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from...》 06-10 论文笔记《LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data》 06-10 论文笔记《Layout-Agnostic Human Activity Recognition in Smart Homes through TDOST》 06-09 论文笔记《IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Models》 06-09 论文笔记《BabyNet: A Lightweight Network for Infant Reaching Action Recognition in Unconstrained ...》 06-08 论文笔记《TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition》 06-07 论文笔记《Leveraging Foundation Models for Zero-Shot IoT Sensing》 06-06 论文笔记《LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing Applications》 06-06 论文笔记《Time-Series Representation Learning via Temporal and Contextual Contrasting》 06-05 论文笔记《Challenges in Video-Based Infant Action Recognition: A Critical Examination of the SOTA》 06-05 论文笔记《CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking》 06-04 论文笔记《Posture-based Infant Action Recognition in the Wild with Very Limited Data》 06-04 论文笔记《ImageBind: One Embedding Space To Bind Them All》 06-03 论文笔记《Bi-DeepViT: Binarized Transformer for Efficient Sensor-Based Human Activity Recognition》 06-02 论文笔记《UniMTS: Unified Pre-training for Motion Time Series》

05 月

05-27 论文笔记《Potential of LLM for Activity Recognition in ADL: A Systematic Review 05-26 论文笔记《Practically Adopting Human Activity Recognition》 05-25 论文笔记《ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking》 05-22 论文笔记《LLAVIDAL : A Large LAnguage VIsion Model for Daily Activities of Living》 05-20 论文笔记《MobHAR: Source-free Knowledge Transfer for Human Activity Recognition on Mobile Devices》 05-19 论文笔记《SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition》 05-17 论文笔记《OneLLM: One Framework to Align All Modalities with Language》 05-17 论文笔记《Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition》 05-16 论文笔记《CrossHAR: Generalizing Cross-dataset Human Activity Recognition...Self-Supervised Pretraining》 05-15 论文笔记《Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment》 05-14 论文笔记《MMBind: Unleashing the Potential of Distributed and ... Multimodal Learning in IoT》 05-14 论文笔记《MEMO: Test Time Robustness via Adaptation and Augmentation》 05-12 论文笔记《Post-pre-training for Modality Alignment in Vision-Language Foundation Models》 05-10 论文笔记《Improving TTA via Shift-agnostic Weight Regularization and Nearest Source Prototypes》 05-09 论文笔记《On-demand Test-time Adaptation for Edge Devices》 05-06 论文笔记《TTA杂记（二）》

04 月

04-28 论文笔记《CAFA: Class-Aware Feature Alignment for Test-Time Adaptation》 04-27 论文笔记《FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus》 04-26 论文笔记《Towards Stable Test-Time Adaptation in Dynamic Wild World》 04-25 论文笔记《Feature Augmentation based Test-Time Adaptation》 04-25 论文笔记《BoTTA: Benchmarking on-device Test Time Adaptation》 04-24 论文笔记《L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer》 04-23 论文笔记《Real-Time Video Inference on Edge Devices via Adaptive Model Streaming》 04-21 论文笔记《Feature Alignment and Uniformity for Test Time Adaptation》 04-21 论文笔记《Modality-Collaborative Test-Time Adaptation for Action Recognition》 04-19 论文笔记《MOS: MODEL SYNERGY FOR TEST-TIME ADAPTATION ON LIDAR-BASED 3D OBJECT DETECTION》 04-17 论文笔记《Towards Robust Multimodal Open-set TTA via Adaptive Entropy-aware Optimization》 04-15 论文笔记《MECTA: Memory-Economic Continual Test-time Adaptation》 04-12 论文笔记《Attention Bootstrapping for Multi-Modal Test-Time Adaptation》 04-11 论文笔记《Unsupervised Domain Adaptive Visual Question Answering in the era of MLLMs》 04-09 论文笔记《TTA杂记》 04-03 论文笔记《Test-Time Model Adaptation with Only Forward Passes》 04-03 论文笔记《Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos》 04-02 论文笔记《Test-Time Model Adaptation for Visual Question Answering...》 04-01 论文笔记《TinyTTA: Efficient Test-Time Adaptation via Early-Exit Ensembles on Edge Devices》

03 月

03-31 论文笔记《Tent: Fully Test-time Adaptation by Entropy Minimization》 03-29 论文笔记《Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises》 03-28 论文笔记《Test-time Adaptation against Multi-modal Reliability Bias》 03-27 论文笔记《LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation...》 03-27 论文笔记《Video Test-Time Adaptation for Action Recognition》 03-26 论文笔记《Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors》 03-25 论文笔记《Cross-Device Collaborative Test-Time Adaptation》 03-24 论文笔记《Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation...》 03-24 论文笔记《Cloud-Device Collaborative Learning for Multimodal Large Language Models》 03-23 论文笔记《An Image is Worth 1/2 Tokens After Layer 2: Plug-and-PLay Acceleration for VLLM Inference》 03-22 论文笔记《Janus: Collaborative Vision Transformer Under Dynamic Network Environment》 03-21 论文笔记《Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference》 03-20 论文笔记《Self-Adapting Large Visual-Language Models to Edge Devices...》 03-19 论文笔记《HPipe: Large Language Model Pipeline Parallelism for Long Context...》 03-18 论文笔记《From Hours to Minutes: Lossless Acceleration ... 100K Tokens》 03-12 论文笔记《DistServe: Disaggregating Prefill and Decoding for...》 03-11 论文笔记《DeepSeek-V3 & R1》

02 月

02-26 论文笔记《Efficient Memory Management ... Serving with PagedAttention》 02-09 大语言模型及其应用

2024

12 月

12-02 论文笔记《Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments》

11 月

11-26 论文笔记《Agglomerative Federated Learning: Empowering Larger...》 11-24 论文笔记《ZeRO++: Extremely Efficient Collective Communication for Giant Model Training》 11-13 论文笔记《EdgeShard: Efficient LLM Inference via Collaborative Edge Computing》

09 月

09-20 论文笔记《Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services》 09-17 论文笔记《Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey》 09-02 [MIT6.5940] Lect 18 Distributed Training (Ⅱ)

08 月

08-31 [MIT6.5940] Lect 17 Distributed Training (Ⅰ) 08-28 [MIT6.5940] Lect 15 GAN, Video and Point Cloud 08-27 [MIT6.5940] Lect 14 Vision Transformer 08-25 [MIT6.5940] Lect 13 Transformer and LLM (Ⅱ) 08-22 [MIT6.5940] Lect 12 Transformer and LLM (Ⅰ) 08-20 [MIT6.5940] Lect 11 TinyEngine and Parallel Processing 08-19 [MIT6.5940] Lect 10 MCUNet: TinyML on Microcontrollers 08-15 [MIT6.5940] Lect 9 Knowledge Distillation

07 月

07-01 [MIT6.5940] Lect 7&8 Neural Architecture Search

06 月

06-25 [MIT6.5940] Lect 5&6 Quantization 06-12 [MIT6.5940] Lect 3&4 - Pruning and Sparsity 06-10 [MIT6.5940] Lect 2 - Basics of Neural Networks 06-08 考研经验贴---英语---88分 06-08 考研经验贴---数二---138分 06-08 考研经验贴---408---133分