activity
20192024
most citedGCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

787 citations · 1.6k across the 22 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 6 cited

CogAgent: A Visual Language Model for GUI Agents

Wenyi Hong, Weihan Wang, Qingsong Lv +11

People are spending an enormous amount of time on digital devices through graphical user interfaces (GUIs), e.g., computer or smartphone screens. Large language models (LLMs) such…

cs.CV2023★ 77 cited

CogVLM: Visual Expert for Pretrained Language Models

Weihan Wang, Qingsong Lv, Wenmeng Yu +13

We introduce CogVLM, a powerful open-source visual language foundation model. Different from the popular shallow alignment method which maps image features into the input space of…

cs.CV2023★ 5 cited

Relay Diffusion: Unifying diffusion process across resolutions for image synthesis

Jiayan Teng, Wendi Zheng, Ming Ding +4

Diffusion models achieved great success in image synthesis, but still face challenges in high-resolution generation. Through the lens of discrete cosine transformation, we find the…

cs.LG2023

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs

Zhen Yang, Tinglin Huang, Ming Ding +5

In-Batch contrastive learning is a state-of-the-art self-supervised method that brings semantically-similar instances close while pushing dissimilar instances apart within a mini-b…

cs.CV2023★ 99 cited

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

Jiazheng Xu, Xiao Liu, Yuchen Wu +5

We present a comprehensive solution to learn and improve text-to-image models from human preference feedback. To begin with, we build ImageReward -- the first general-purpose text-…