Jiangbin Zheng

According to our database, Jiangbin Zheng authored at least 35 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction.

Jiangbin Zheng, Qianhui Xu, Ruichen Xia, Stan Z. Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design.

Jiangbin Zheng, Ge Wang, Han Zhang, Stan Z. Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment.

Zijia Song, Zelin Zang, Yelin Wang, Guozheng Yang, Jiangbin Zheng, Kaicheng yu, Wanyu Chen, Stan Z. Li

CoRR, 2024

Graph-level Protein Representation Learning by Structure Knowledge Refinement.

Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li

CoRR, 2024

Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure.

Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases.

Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CCPL: Cross-Modal Contrastive Protein Learning.

Jiangbin Zheng, Stan Z. Li

Proceedings of the Pattern Recognition - 27th International Conference, 2024

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

Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Progressive Multi-Modality Learning for Inverse Protein Folding.

Jiangbin Zheng, Stan Z. Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MogaNet: Multi-order Gated Aggregation Network.

Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning.

Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction.

Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.

Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MMDesign: Multi-Modality Transfer Learning for Generative Protein Design.

Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li

CoRR, 2023

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

Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan Z. Li

CoRR, 2023

Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning.

Zihan Liu, Ge Wang, Jiaqi Wang, Jiangbin Zheng, Stan Z. Li

CoRR, 2023

Lightweight Contrastive Protein Structure-Sequence Transformation.

Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li

CoRR, 2023

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

Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li

CoRR, 2023

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions.

Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization.

Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Protein Language Models and Structure Prediction: Connection and Progression.

Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li

CoRR, 2022

Efficient Multi-order Gated Aggregation Network.

Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li

CoRR, 2022

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

Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li

CoRR, 2022

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

Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering.

Chong Wu, Jiangbin Zheng, Zhenan Feng, Houwang Zhang, Le Zhang, Jiawang Cao, Hong Yan

IEEE Trans. Circuits Syst. Video Technol., 2021

Enhancing Neural Sign Language Translation by highlighting the facial expression information.

Jiangbin Zheng, Yidong Chen, Chong Wu, Xiaodong Shi, Suhail Muhammad Kamal

Neurocomputing, 2021

Generating Diverse Back-Translations via Constraint Random Decoding.

Yiqi Tong, Yidong Chen, Guocheng Zhang, Jiangbin Zheng, Hongkang Zhu, Xiaodong Shi

Proceedings of the Machine Translation - 17th China Conference, 2021

2020

An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences.

Jiangbin Zheng, Zheng Zhao, Min Chen, Jing Chen, Chong Wu, Yidong Chen, Xiaodong Shi, Yiqi Tong

Comput. Intell. Neurosci., 2020

Common Laws Driving the Success in Show Business.

Chong Wu, Zhenan Feng, Jiangbin Zheng, Houwang Zhang

Comput. Intell. Neurosci., 2020

A Study on Differences between Simplified and Traditional Chinese Based on Complex Network Analysis of the Word Co-Occurrence Networks.

Zhongqiang Jiang, Dongmei Zhao, Jiangbin Zheng, Yidong Chen

Comput. Intell. Neurosci., 2020

A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme Information.

Yiqi Tong, Jiangbin Zheng, Hongkang Zhu, Yidong Chen, Xiaodong Shi

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Technical Approaches to Chinese Sign Language Processing: A Review.

Suhail Muhammad Kamal, Yidong Chen, Shaozi Li, Xiaodong Shi, Jiangbin Zheng

IEEE Access, 2019