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20222026
most citedA Survey on Generative Diffusion Model

67 citations · 220 across the 37 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023★ 4 cited

Segment Anything in Defect Detection

Bozhen Hu, Bin Gao, Cheng Tan +2

Defect detection plays a crucial role in infrared non-destructive testing systems, offering non-contact, safe, and efficient inspection capabilities. However, challenges such as lo…

cs.AI2023

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training

Cheng Tan, Jingxuan Wei, Zhangyang Gao +5

Multimodal reasoning is a challenging task that requires models to reason across multiple modalities to answer questions. Existing approaches have made progress by incorporating la…

cs.LG2023★ 1 cited

General Point Model with Autoencoding and Autoregressive

Zhe Li, Zhangyang Gao, Cheng Tan +2

The pre-training architectures of large language models encompass various types, including autoencoding models, autoregressive models, and encoder-decoder models. We posit that any…

cs.CE2023★ 3 cited

VQPL: Vector Quantized Protein Language

Zhangyang Gao, Cheng Tan, Stan Z. Li

Is there a foreign language describing protein sequences and structures simultaneously? Protein structures, represented by continuous 3D points, have long posed a challenge due to…

cs.CV2023★ 1 cited

USTEP: Spatio-Temporal Predictive Learning under A Unified View

Cheng Tan, Jue Wang, Zhangyang Gao +2

Spatio-temporal predictive learning plays a crucial role in self-supervised learning, with wide-ranging applications across a diverse range of fields. Previous approaches for tempo…

cs.LG2023★ 4 cited

SemiReward: A General Reward Model for Semi-supervised Learning

Siyuan Li, Weiyang Jin, Zedong Wang +4

Semi-supervised learning (SSL) has witnessed great progress with various improvements in the self-training framework with pseudo labeling. The main challenge is how to distinguish…

q-bio.BM2023

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design

Cheng Tan, Yijie Zhang, Zhangyang Gao +4

While artificial intelligence has made remarkable strides in revealing the relationship between biological macromolecules' primary sequence and tertiary structure, designing RNA se…