no code implementations • 5 Aug 2024 • Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li
Enzyme design plays a crucial role in both industrial production and biology.
no code implementations • 13 May 2024 • Siyuan Li, Zedong Wang, Zicheng Liu, Di wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li
In this paper, we introduce VQDNA, a general-purpose framework that renovates genome tokenization from the perspective of genome vocabulary learning.
1 code implementation • 19 Mar 2024 • Qiangguo Jin, Hui Cui, Changming Sun, Yang song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su
To address these issues, we first propose a novel inter- and intra-uncertainty regularization method to measure and constrain both inter- and intra-inconsistencies in the teacher-student architecture.
no code implementations • 8 Mar 2024 • Bozhen Hu, Cheng Tan, Lirong Wu, Jiangbin Zheng, Jun Xia, Zhangyang Gao, Zicheng Liu, Fandi Wu, Guijun Zhang, Stan Z. Li
Protein representation learning plays a crucial role in understanding the structure and function of proteins, which are essential biomolecules involved in various biological processes.
no code implementations • 5 Jan 2024 • Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li
The mainstream method is utilizing contrastive learning to facilitate graph feature extraction, known as Graph Contrastive Learning (GCL).
1 code implementation • 11 Dec 2023 • Jiangbin Zheng, Stan Z. Li
While deep generative models show promise for learning inverse protein folding directly from data, the lack of publicly available structure-sequence pairings limits their generalization.
no code implementations • 14 Oct 2023 • Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan. ZQ. Li
To study this problem, we identify a Protein 3D Graph Structure Learning Problem for Robust Protein Property Prediction (PGSL-RP3), collect benchmark datasets, and present a protein Structure embedding Alignment Optimization framework (SAO) to mitigate the problem of structure embedding bias between the predicted and experimental protein structures.
1 code implementation • 4 Oct 2023 • Zihan Liu, Ge Wang, Jiaqi Wang, Jiangbin Zheng, Stan Z. Li
Peptides are formed by the dehydration condensation of multiple amino acids.
1 code implementation • ICASSP 2023 • Wenjie Liu, Bingshu Wang, Jiangbin Zheng, Wenmin Wang
Thirdly, we propose an adaptive text contrast enhancement strategy to generate shadow-free results with comfortable visual perception across shadow and non-shadow regions.
1 code implementation • 21 Apr 2023 • Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
In this paper, we propose a \textit{simple yet effective} model that can co-design 1D sequences and 3D structures of CDRs in a one-shot manner.
no code implementations • 19 Mar 2023 • Jiangbin Zheng, Stan Z. Li
Effective protein representation learning is crucial for predicting protein functions.
1 code implementation • CVPR 2023 • Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li
In this work, we propose a novel contrastive visual-textual transformation for SLR, CVT-SLR, to fully explore the pretrained knowledge of both the visual and language modalities.
no code implementations • 5 Feb 2023 • Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li
Learning meaningful protein representation is important for a variety of biological downstream tasks such as structure-based drug design.
1 code implementation • 2 Dec 2022 • Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li
In this work, we reformulate the RNA secondary structure prediction as a K-Rook problem, thereby simplifying the prediction process into probabilistic matching within a finite solution space.
1 code implementation • 30 Nov 2022 • Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li
The prediction of protein structures from sequences is an important task for function prediction, drug design, and related biological processes understanding.
7 code implementations • 7 Nov 2022 • Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di wu, ZhiYuan Chen, Jiangbin Zheng, Stan Z. Li
Notably, MogaNet hits 80. 0\% and 87. 8\% accuracy with 5. 2M and 181M parameters on ImageNet-1K, outperforming ParC-Net and ConvNeXt-L, while saving 59\% FLOPs and 17M parameters, respectively.
Ranked #1 on Instance Segmentation on COCO val2017
no code implementations • 1 Nov 2022 • Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li
Therefore, we propose to introduce additional word-level semantic knowledge of sign language linguistics to assist in improving current end-to-end neural SLT models.
1 code implementation • ACL 2022 • Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
Although contextualized embeddings generated from large-scale pre-trained models perform well in many tasks, traditional static embeddings (e. g., Skip-gram, Word2Vec) still play an important role in low-resource and lightweight settings due to their low computational cost, ease of deployment, and stability.
Ranked #1 on Word Similarity on WS353
no code implementations • 13 Jan 2022 • Bingshu Wang, Jiangbin Zheng, C. L. Philip Chen
Representative algorithms are described in detail, coupled with some typical techniques that are described briefly.
1 code implementation • COLING 2020 • Yiqi Tong, Jiangbin Zheng, Hongkang Zhu, Yidong Chen, Xiaodong Shi
Research on document-level Neural Machine Translation (NMT) models has attracted increasing attention in recent years.
no code implementations • 5 Jun 2020 • Xinxin Zuo, Sen Wang, Jiangbin Zheng, Weiwei Yu, Minglun Gong, Ruigang Yang, Li Cheng
First, based on a generative human template, for every two frames having sufficient overlap, an initial pairwise alignment is performed; It is followed by a global non-rigid registration procedure, in which partial results from RGBD frames are collected into a unified 3D shape, under the guidance of correspondences from the pairwise alignment; Finally, the texture map of the reconstructed human model is optimized to deliver a clear and spatially consistent texture.
no code implementations • 5 Mar 2018 • Yue Xi, Jiangbin Zheng, Xiangjian He, Wenjing Jia, Hanhui Li
Tiny face detection aims to find faces with high degrees of variability in scale, resolution and occlusion in cluttered scenes.
no code implementations • ICCV 2017 • Xinxin Zuo, Sen Wang, Jiangbin Zheng, Ruigang Yang
In this paper we present a novel approach for depth map enhancement from an RGB-D video sequence.
no code implementations • ICCV 2015 • Xinxin Zuo, Chao Du, Sen Wang, Jiangbin Zheng, Ruigang Yang
We discovered that these internal contours, which are results of convex parts on an object's surface, can lead to a tighter fit than the original visual hull.