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20242026
most citedPhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systems

Zhixu Du, Yiran Chen

Physical automation is scaling toward fleets of embodied machines commanded by an AI brain. Early deployments already run factories and warehouses at production rates beyond any hu…

cs.OS2026

Nixie: Efficient, Transparent Temporal Multiplexing for Consumer GPUs

Yechen Xu, Yifei Wang, Nathanael Ren +2

Consumer machines are increasingly running large ML workloads such as large language models (LLMs), text-to-image generation, and interactive image editing. Unlike datacenter GPUs,…

cs.LG2025

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models

Zishan Shao, Yixiao Wang, Qinsi Wang +6

Singular Value Decomposition (SVD) has recently seen a surge of interest as a simple yet powerful tool for large language models (LLMs) compression, with a growing number of works…

cs.LG2025

MoE-GPS: Guidlines for Prediction Strategy for Dynamic Expert Duplication in MoE Load Balancing

Haiyue Ma, Zhixu Du, Yiran Chen

In multi-GPU Mixture-of-Experts (MoE) network, experts are distributed across different GPUs, which creates load imbalance as each expert processes different number of tokens. Rece…

cs.CV2024

CinePreGen: Camera Controllable Video Previsualization via Engine-powered Diffusion

Yiran Chen, Anyi Rao, Xuekun Jiang +5

With advancements in video generative AI models (e.g., SORA), creators are increasingly using these techniques to enhance video previsualization. However, they face challenges with…

cs.CV2024★ 1 cited

PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models

Fanqing Meng, Wenqi Shao, Lixin Luo +8

Text-to-image (T2I) models have made substantial progress in generating images from textual prompts. However, they frequently fail to produce images consistent with physical common…