1 citations · 1 across the 4 of their papers we have counts for
5 papers
InferOpt: Constrained Multi-Objective Search for LLM Inference Configurations
Qi Chen, Yingying Cheng, Zhaoyi Sun +3
Serving an LLM means setting dozens of inference-time knobs, from per-layer KV retention to per-layer expert counts. Practice sets them with mechanism-specific heuristics that retu…
Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training
Yingying Cheng, Jinquan Shi, Li Zhou +4
Quantization-aware training (QAT) with low-bit floating-point formats enables efficient LLM deployment, yet introduces subtle failure modes invisible to standard training metrics.…
TextBoost: Boosting Scene Text Fidelity in Ultra-low Bitrate Image Compression
Bingxin Wang, Yuan Lan, Zhaoyi Sun +2
Ultra-low bitrate image compression faces a critical challenge: preserving small-font scene text while maintaining overall visual quality. Region-of-interest (ROI) bit allocation c…
T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network based on Tensor T-product Operator
Feiyang Han, Yun Miao, Zhaoyi Sun +1
Image classification is one of the most fundamental tasks in Computer Vision. In practical applications, the datasets are usually not as abundant as those in the laboratory and sim…
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression
Yuan Lan, Liang Qin, Zhaoyi Sun +2
Neural-network-based approaches recently emerged in the field of data compression and have already led to significant progress in image compression, especially in achieving a highe…