Technical Approaches to Chinese Sign Language Processing: A Review. - Suhail Muhammad Kamal; Yidong Chen 001; Shaozi Li; Xiaodong Shi; Jiangbin Zheng 002 (IEEE Access, 2019)

A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme Information. - Yiqi Tong; Jiangbin Zheng 002; Hongkang Zhu; Yidong Chen 001; Xiaodong Shi (COLING, 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 002; Yidong Chen 001 (Comput. Intell. Neurosci., 2020)

Common Laws Driving the Success in Show Business. - Chong Wu; Zhenan Feng; Jiangbin Zheng 002; Houwang Zhang (Comput. Intell. Neurosci., 2020)

An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences. - Jiangbin Zheng 002; Zheng Zhao; Min Chen; Jing Chen; Chong Wu; Yidong Chen 001; Xiaodong Shi; Yiqi Tong (Comput. Intell. Neurosci., 2020)

Generating Diverse Back-Translations via Constraint Random Decoding. - Yiqi Tong; Yidong Chen 001; Guocheng Zhang; Jiangbin Zheng 002; Hongkang Zhu; Xiaodong Shi (CCMT, 2021)

Enhancing Neural Sign Language Translation by highlighting the facial expression information. - Jiangbin Zheng 002; Yidong Chen 001; Chong Wu; Xiaodong Shi; Suhail Muhammad Kamal (Neurocomputing, 2021)

Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering. - Chong Wu; Jiangbin Zheng 002; Zhenan Feng; Houwang Zhang; Le Zhang; Jiawang Cao; Hong Yan 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. - Jiangbin Zheng 002; Yile Wang 001; Ge Wang; Jun Xia 001; Yufei Huang 002; Guojiang Zhao; Yue Zhang 004; Stan Z. Li (ACL (1), 2022)

Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. - Jiangbin Zheng 002; Siyuan Li 002; Cheng Tan 012; Chong Wu; Yidong Chen 001; Stan Z. Li (CoRR, 2022)

Efficient Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2022)

Protein Language Models and Structure Prediction: Connection and Progression. - Bozhen Hu; Jun Xia 001; Jiangbin Zheng 002; Cheng Tan 012; Yufei Huang 002; Yongjie Xu; Stan Z. Li (CoRR, 2022)

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. - Jiangbin Zheng 002; Yile Wang 001; Cheng Tan 012; Siyuan Li 002; Ge Wang; Jun Xia 001; Yidong Chen 001; Stan Z. Li (CVPR, 2023)

Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. - Jun Xia 001; Ge Wang; Bozhen Hu; Cheng Tan 012; Jiangbin Zheng 002; Yongjie Xu; Stan Z. Li (ICASSP, 2023)

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. - Jun Xia 001; Lecheng Zhang; Xiao Zhu; Yue Liu 008; Zhangyang Gao; Bozhen Hu; Cheng Tan 012; Jiangbin Zheng 002; Siyuan Li 002; Stan Z. Li (NeurIPS, 2023)

Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. - Yufei Huang 002; Lirong Wu; Haitao Lin; Jiangbin Zheng 002; Ge Wang; Stan Z. Li (CoRR, 2023)

Lightweight Contrastive Protein Structure-Sequence Transformation. - Jiangbin Zheng 002; Ge Wang; Yufei Huang 002; Bozhen Hu; Siyuan Li 002; Cheng Tan 012; Xinwen Fan; Stan Z. Li (CoRR, 2023)

Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning. - Zihan Liu; Ge Wang; Jiaqi Wang; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2023)

Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. - Yufei Huang 002; Siyuan Li 002; Jin Su; Lirong Wu; Odin Zhang; Haitao Lin; Jingqi Qi; Zihan Liu; Zhangyang Gao; Yuyang Liu; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2023)

MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. - Jiangbin Zheng 002; Siyuan Li 002; Yufei Huang 002; Zhangyang Gao; Cheng Tan 012; Bozhen Hu; Jun Xia 001; Ge Wang; Stan Z. Li (CoRR, 2023)

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. - Cheng Tan 012; Zhangyang Gao; Lirong Wu; Jun Xia 001; Jiangbin Zheng 002; Xihong Yang; Yue Liu 008; Bozhen Hu; Stan Z. Li (AAAI, 2024)

Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. - Yufei Huang 002; Siyuan Li 002; Lirong Wu; Jin Su; Haitao Lin; Odin Zhang; Zihan Liu; Zhangyang Gao; Jiangbin Zheng 002; Stan Z. Li (AAAI, 2024)

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. - Jun Xia 001; Shaorong Chen; Yue Liu 008; Zhangyang Gao; Jiangbin Zheng 002; Xihong Yang; Stan Z. Li (ICDE, 2024)

MogaNet: Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (ICLR, 2024)

Progressive Multi-Modality Learning for Inverse Protein Folding. - Jiangbin Zheng 002; Stan Z. Li (ICME, 2024)

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. - Cheng Tan 012; Zhangyang Gao; Hanqun Cao; Xingran Chen; Ge Wang; Lirong Wu; Jun Xia 001; Jiangbin Zheng 002; Stan Z. Li (ICML, 2024)

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Di Wu 057; Cheng Tan 012; Jiangbin Zheng 002; Yufei Huang 002; Stan Z. Li (ICML, 2024)

CCPL: Cross-Modal Contrastive Protein Learning. - Jiangbin Zheng 002; Stan Z. Li (ICPR (27), 2024)

MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign. - Jiangbin Zheng 002; Han Zhang; Qianqing Xu; An-Ping Zeng 001; Stan Z. Li (ACM Multimedia, 2024)

AdaNovo: Towards Robust emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. - Jun Xia 001; Shaorong Chen; Jingbo Zhou; Xiaojun Shan; Wenjie Du 003; Zhangyang Gao; Cheng Tan 012; Bozhen Hu; Jiangbin Zheng 002; Stan Z. Li (NeurIPS, 2024)

Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. - Bozhen Hu; Cheng Tan 012; Jun Xia 001; Yue Liu 008; Lirong Wu; Jiangbin Zheng 002; Yongjie Xu; Yufei Huang 002; Stan Z. Li (NeurIPS, 2024)

Graph-level Protein Representation Learning by Structure Knowledge Refinement. - Ge Wang; Zelin Zang; Jiangbin Zheng 002; Jun Xia 001; Stan Z. Li (CoRR, 2024)

Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment. - Zijia Song; Zelin Zang; Yelin Wang; Guozheng Yang; Jiangbin Zheng 002; Kaicheng yu; Wanyu Chen; Stan Z. Li (CoRR, 2024)

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design. - Jiangbin Zheng 002; Ge Wang; Han Zhang; Stan Z. Li (ICASSP, 2025)

DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction. - Jiangbin Zheng 002; Qianhui Xu; Ruichen Xia; Stan Z. Li (ICASSP, 2025)