1 code implementation • 13 Mar 2024 • Xingyu Lu, He Cao, Zijing Liu, Shengyuan Bai, Leqing Chen, Yuan YAO, Hai-Tao Zheng, Yu Li
Large language models are playing an increasingly significant role in molecular research, yet existing models often generate erroneous information, posing challenges to accurate molecular comprehension.
1 code implementation • 25 Jan 2024 • Tianhe Ren, Shilong Liu, Ailing Zeng, Jing Lin, Kunchang Li, He Cao, Jiayu Chen, Xinyu Huang, Yukang Chen, Feng Yan, Zhaoyang Zeng, Hao Zhang, Feng Li, Jie Yang, Hongyang Li, Qing Jiang, Lei Zhang
We introduce Grounded SAM, which uses Grounding DINO as an open-set object detector to combine with the segment anything model (SAM).
1 code implementation • 27 Nov 2023 • He Cao, Zijing Liu, Xingyu Lu, Yuan YAO, Yu Li
The rapid evolution of artificial intelligence in drug discovery encounters challenges with generalization and extensive training, yet Large Language Models (LLMs) offer promise in reshaping interactions with complex molecular data.
Ranked #20 on Molecule Captioning on ChEBI-20
no code implementations • 16 Oct 2023 • Yukai Shi, Jianan Wang, He Cao, Boshi Tang, Xianbiao Qi, Tianyu Yang, Yukun Huang, Shilong Liu, Lei Zhang, Heung-Yeung Shum
In this paper, we present TOSS, which introduces text to the task of novel view synthesis (NVS) from just a single RGB image.
1 code implementation • 27 Sep 2023 • June M. Liu, Donghao Li, He Cao, Tianhe Ren, Zeyi Liao, Jiamin Wu
This paper presents ChatCounselor, a large language model (LLM) solution designed to provide mental health support.
no code implementations • 2 Aug 2023 • Jiamin Wu, He Cao, Yuan YAO
Examples of such side information include the chemical and geometric features of the target protein, ligand-target compound interactions, and ligand chemical properties.
1 code implementation • 12 Jun 2023 • Tianhe Ren, Shilong Liu, Feng Li, Hao Zhang, Ailing Zeng, Jie Yang, Xingyu Liao, Ding Jia, Hongyang Li, He Cao, Jianan Wang, Zhaoyang Zeng, Xianbiao Qi, Yuhui Yuan, Jianwei Yang, Lei Zhang
To address this issue, we develop a unified, highly modular, and lightweight codebase called detrex, which supports a majority of the mainstream DETR-based instance recognition algorithms, covering various fundamental tasks, including object detection, segmentation, and pose estimation.
1 code implementation • 24 Feb 2023 • Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan YAO
One of the reasons is that the learned representations (i. e. features) from the imbalanced datasets are less effective than those from balanced datasets.
no code implementations • 28 Dec 2022 • He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan YAO, Lei Zhang
We further provide a hypothesis on the implication of disentangling the generative backbone as an encoder-decoder structure and show proof-of-concept experiments verifying the effectiveness of a stronger encoder for generative tasks with ASymmetriC ENcoder Decoder (ASCEND).