Jiangbin Zheng

45 papers A* 12A 1B 1Misc 3Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges. AAAI Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li
2025	Misc	`conf`	DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction. ICASSP Jiangbin Zheng, Qianhui Xu, Ruichen Xia, Stan Z. Li
2025	J	`jnl`	Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges. CoRR Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li
2025	J	`jnl`	Multimodal Regression for Enzyme Turnover Rates Prediction. CoRR Bozhen Hu, Cheng Tan, Siyuan Li, Jiangbin Zheng, Sizhe Qiu, Jun Xia, Stan Z. Li
2025	Misc	`conf`	Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design. ICASSP Jiangbin Zheng, Ge Wang, Han Zhang, Stan Z. Li
2024	A*	`conf`	AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. NeurIPS Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
2024	—	`conf`	CCPL: Cross-Modal Contrastive Protein Learning. ICPR (27) Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction. CoRR Jiangbin Zheng, Qianhui Xu, Ruichen Xia, Stan Z. Li
2024	A*	`conf`	Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li
2024	J	`jnl`	Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment. CoRR Zijia Song, Zelin Zang, Yelin Wang, Guozheng Yang, Jiangbin Zheng, Kaicheng Yu, Wanyu Chen, Stan Z. Li
2024	J	`jnl`	Graph-level Protein Representation Learning by Structure Knowledge Refinement. CoRR Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li
2024	A*	`conf`	Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. NeurIPS Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li
2024	A*	`conf`	MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign. ACM Multimedia Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li
2024	J	`jnl`	MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign. CoRR Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li
2024	A*	`conf`	MogaNet: Multi-order Gated Aggregation Network. ICLR Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
2024	J	`jnl`	Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design. CoRR Jiangbin Zheng, Ge Wang, Han Zhang, Stan Z. Li
2024	A	`conf`	Progressive Multi-Modality Learning for Inverse Protein Folding. ICME Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. ICML Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li
2024	J	`jnl`	VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li
2023	A*	`conf`	CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CVPR Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li
2023	J	`jnl`	CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CoRR Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li
2023	J	`jnl`	Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning. CoRR Zihan Liu, Ge Wang, Jiaqi Wang, Jiangbin Zheng, Stan Z. Li
2023	J	`jnl`	Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. CoRR Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li
2023	J	`jnl`	Lightweight Contrastive Protein Structure-Sequence Transformation. CoRR Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li
2023	J	`jnl`	MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li
2023	J	`jnl`	Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR 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
2023	A*	`conf`	Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li
2023	Misc	`conf`	Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. ICASSP Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	Efficient Multi-order Gated Aggregation Network. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
2022	J	`jnl`	Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. CoRR Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li
2022	J	`jnl`	Protein Language Models and Structure Prediction: Connection and Progression. CoRR Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	Star topology convolution for graph representation learning. Complex Intell. Syst. Chong Wu, Zhenan Feng, Jiangbin Zheng, Houwang Zhang, Jiawang Cao, Hong Yan
2022	—	`conf`	Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. ACL (1) Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
2022	J	`jnl`	Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. CoRR Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
2021	J	`jnl`	Enhancing Neural Sign Language Translation by highlighting the facial expression information. Neurocomputing Jiangbin Zheng, Yidong Chen, Chong Wu, Xiaodong Shi, Suhail Muhammad Kamal
2021	J	`jnl`	Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering. IEEE Trans. Circuits Syst. Video Technol. Chong Wu, Jiangbin Zheng, Zhenan Feng, Houwang Zhang, Le Zhang, Jiawang Cao, Hong Yan
2021	—	`conf`	Generating Diverse Back-Translations via Constraint Random Decoding. CCMT Yiqi Tong, Yidong Chen, Guocheng Zhang, Jiangbin Zheng, Hongkang Zhu, Xiaodong Shi
2020	B	`conf`	A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme Information. COLING Yiqi Tong, Jiangbin Zheng, Hongkang Zhu, Yidong Chen, Xiaodong Shi
2020	J	`jnl`	A Study on Differences between Simplified and Traditional Chinese Based on Complex Network Analysis of the Word Co-Occurrence Networks. Comput. Intell. Neurosci. Zhongqiang Jiang, Dongmei Zhao, Jiangbin Zheng, Yidong Chen
2020	J	`jnl`	An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences. Comput. Intell. Neurosci. Jiangbin Zheng, Zheng Zhao, Min Chen, Jing Chen, Chong Wu, Yidong Chen, Xiaodong Shi, Yiqi Tong
2020	J	`jnl`	Common Laws Driving the Success in Show Business. Comput. Intell. Neurosci. Chong Wu, Zhenan Feng, Jiangbin Zheng, Houwang Zhang
2019	J	`jnl`	Technical Approaches to Chinese Sign Language Processing: A Review. IEEE Access Suhail Muhammad Kamal, Yidong Chen, Shaozi Li, Xiaodong Shi, Jiangbin Zheng