Search Results for author: Jiangbin Zheng

Found 24 papers, 11 papers with code

MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign

no code implementations5 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.

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling

no code implementations13 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.

Quantization

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation

1 code implementation19 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.

Image Segmentation Semantic Segmentation

Advances of Deep Learning in Protein Science: A Comprehensive Survey

no code implementations8 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.

Deep Learning Drug Discovery +4

Graph-level Protein Representation Learning by Structure Knowledge Refinement

no code implementations5 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).

Contrastive Learning Property Prediction +1

Progressive Multi-Modality Learning for Inverse Protein Folding

1 code implementation11 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.

cross-modal alignment Data Augmentation +4

Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction

no code implementations14 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.

Graph structure learning Property Prediction +2

Shadow Removal of Text Document Images Using Background Estimation and Adaptive Text Enhancement

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.

Binarization Document Shadow Removal +1

Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer

1 code implementation21 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.

Specificity

CCPL: Cross-modal Contrastive Protein Learning

no code implementations19 Mar 2023 Jiangbin Zheng, Stan Z. Li

Effective protein representation learning is crucial for predicting protein functions.

Masked Language Modeling Protein Design +2

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment

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.

cross-modal alignment Sign Language Recognition

Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy

no code implementations5 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.

Diversity

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

1 code implementation2 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.

Protein Language Models and Structure Prediction: Connection and Progression

1 code implementation30 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.

Protein Folding Protein Language Model +1

MogaNet: Multi-order Gated Aggregation Network

7 code implementations7 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.

3D Human Pose Estimation Image Classification +6

Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation

no code implementations1 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.

Sign Language Translation Translation

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings

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.

Word Embeddings Word Similarity

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

no code implementations13 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.

Benchmarking Lesion Segmentation +1

SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images

no code implementations5 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.

Beyond Context: Exploring Semantic Similarity for Tiny Face Detection

no code implementations5 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.

Face Detection Metric Learning +2

Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction

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.

Contour Detection Surface Reconstruction +2

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