activity
20222025
most citedInstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

20 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

On Structured State-Space Duality

Jerry Yao-Chieh Hu, Xiwen Zhang, Ali ElSheikh +2

Structured State-Space Duality (SSD) [Dao & Gu, ICML 2024] is an equivalence between a simple Structured State-Space Model (SSM) and a masked attention mechanism. In particular, a…

cs.LG2025

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions

Jerry Yao-Chieh Hu, Xiwen Zhang, Maojiang Su +2

We study the computational limits of learning -bit Boolean functions (specifically, , , and their noisy variants), using a minimalist single-head soft…

cs.CV2025★ 2 cited

On the Perception Bottleneck of VLMs for Chart Understanding

Junteng Liu, Weihao Zeng, Xiwen Zhang +3

Chart understanding requires models to effectively analyze and reason about numerical data, textual elements, and complex visual components. Our observations reveal that the percep…

cs.CL2024

Diving into Self-Evolving Training for Multimodal Reasoning

Wei Liu, Junlong Li, Xiwen Zhang +3

Self-evolving trainin--where models iteratively learn from their own outputs--has emerged as a key approach for complex reasoning tasks, addressing the scarcity of high-quality cha…

cs.CL2024

DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Yuxuan Tong, Xiwen Zhang, Rui Wang +2

Solving mathematical problems requires advanced reasoning abilities and presents notable challenges for large language models. Previous works usually synthesize data from proprieta…

cs.LG2023★ 20 cited

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Xingchao Liu, Xiwen Zhang, Jianzhu Ma +2

Diffusion models have revolutionized text-to-image generation with its exceptional quality and creativity. However, its multi-step sampling process is known to be slow, often requi…

cs.LG2022★ 17 cited

FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours

Shenggan Cheng, Xuanlei Zhao, Guangyang Lu +7

Protein structure prediction helps to understand gene translation and protein function, which is of growing interest and importance in structural biology. The AlphaFold model, whic…