Lattice AI Research

Research focus

Inference & Quantization (2)Training Efficiency & Optimization (2)Computer Vision (1)Distributed Systems & Hardware (1)

Frequent co-authors

Haocheng Xi (2)Bowen Xue (1)Zihan Min (1)Xingyang Li (1)

Papers (2)

Jul 7, 2026

FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models

FourTune slashes memory overhead by 2.25x while matching the performance of full-precision fine-tuning in diffusion models.

Bowen Xue, Zihan Min, Xingyang Li +5

Computer Vision Inference & Quantization Training Efficiency & Optimization

Mar 10, 2026

BAIRMar 10, 2026·also NVIDIA, Tsinghua AI, Soyeon Caren Han is the corresponding

Flash-KMeans: Fast and Memory-Efficient Exact K-Means

K-means, previously relegated to offline processing, gets a 17.9x speed boost on modern GPUs thanks to Flash-KMeans' clever IO and contention optimizations.

Shuo Yang, Shuo Yang, Haocheng Xi +16

Distributed Systems & Hardware Inference & Quantization Training Efficiency & Optimization

Yujun Lin

Publication activitypapers/week, last 8 weeks

Research focus

Frequent co-authors

Papers (2)

Search

Yujun Lin

Publication activitypapers/week, last 8 weeks

Research focus

Frequent co-authors

Papers (2)