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Jiangbin Zheng  (Ph.D Candidate) Zhejiang University & Westlake University , Hangzhou, China Languages: Chinese, English Email: zhengjiangbin(at)westlake.edu.cn / zhengjiangbin(at)zju.edu.cn Hobbies: Sports, Photography, Writing, Software Design [Google Scholar] [GitHub]

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Biography [Top]

Jiangbin Zheng is pursuing his Ph.D at AI Lab, Westlake University, China, under the supervision of Chair Prof. Stan Z. Li (IEEE Fellow). He is currently focusing on AI for Life Science (e.g., AI + protein design, AI + enzyme engineering). Previously he focused on Natural Language Processing (NLP), Computer Vision (CV), Multi-modality research (e.g., AI for Sign Language Translation) at NLP Lab, Xiamen University, China.

RESEARCH INTERESTS: AI for Life Science, Multi-Modality, NLP, CV.

Selected Projects  [Top]

Publications  [Top]

Selected Publications:
	MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign [C] Jiangbin Zheng, Han Zhang, Qianqing Xu, An-Ping Zeng, Stan Z. Li* ACM MULTIMEDIA 2024 (ACMMM 2024) [Paper] [Code] [BibTex]
	Progressive Multi-Modality Learning for Inverse Protein Folding [C] Jiangbin Zheng, Stan Z. Li* IEEE Conference on Multimedia Expo 2024 (ICME 2024) (Oral) [Paper] [Code] [BibTex]
	CCPL: Cross-modal Contrastive Protein Learning [C] Jiangbin Zheng, Stan Z. Li* 27th International Conference on Pattern Recognition (ICPR 2024) [Paper] [BibTex]
	CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment [C] Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li* The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) (Highlight/Oral presentation; Acceptance rate: 2.5% of submitted papers) [Paper] [Code] [BibTex]
	Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings [C] Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li* Annual Meeting of the Association for Computational Linguistics (ACL 2022) [Paper] [Code] [BibTex]
	Enhancing Neural Sign Language Translation by Highlighting the Facial Expression Information [J] Jiangbin Zheng, Yidong Chen, ChongWu, XiaodongShi, Suhail Muhammad Kamala Neurocomputing, 2021 [Paper] [BibTex]
	A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme Information [C] Yiqi Tong†, Jiangbin Zheng†, Hongkang Zhu, Yidong Chen, Xiaodong Shi (Co-1st Author) The 28th International Conference on Computational Linguistics (COLING 2020) [Paper] [BibTex]
	An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences [J] Jiangbin Zheng, Zheng Zhao, Min Chen, Jing Chen, Chong Wu, Yidong Chen, Xiaodong Shi, Yiqi Tong Computational Intelligence and Neuroscience (CIN), 2020 [Paper] [BibTex]
	Moganet: Multi-order gated aggregation network [C] Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li* The Twelfth International Conference on Learning Representations (ICLR 2023) [Paper] [BibTex]
	DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning [C] Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li* 2024 IEEE 40th International Conference on Data Engineering (ICDE 2024) [Paper] [BibTex]
	Cross-gate mlp with protein complex invariant embedding is a one-shot antibody designer [C] Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li* Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024) [Paper] [BibTex]
	Protein 3d graph structure learning for robust structure-based protein property prediction [C] Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li* Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024) [Paper] [BibTex]
	Understanding the limitations of deep models for molecular property prediction: Insights and solutions [C] Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z Li* Advances in Neural Information Processing Systems (NeurIPS 2023) [Paper] [BibTex]
	Wordreg: Mitigating the gap between training and inference with worst-case drop regularization [C] Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z Li* ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023) [Paper] [BibTex]
	Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering [J] Chong Wu, Jiangbin Zheng, Zhenan Feng, Houwang Zhang, Le Zhang, Jiawang Cao, Hong Yan IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2020 [Paper] [BibTex]
	Star Topology Convolution for Graph Representation Learning [J] Chong Wu, Zhenan Feng, Jiangbin Zheng, Houwang Zhang, Jiawang Cao, Hong Yan Complex & Intelligent Systems, 2022 [Paper] [BibTex]
	Generating Diverse Back-Translations via Constraint Random Decoding [C] Yiqi Tong, Yidong Chen, Guocheng Zhang, Jiangbin Zheng, Hongkang Zhu, Xiaodong Shi Conference CCMT, 2021 (Oral) [Paper] [BibTex]
	Technical Approaches to Chinese Sign Language Processing: A Review [J] Suhail Muhammad Kamal, Yidong Chen, Shaozi Li, Xiaodong Shi, Jiangbin Zheng IEEE ACCESS, 2019 [Paper] [BibTex]

Open Sources  [Top]

• Awesome AI Sign Language Papers [Github]
  If you are new or interested in AI sign language field, we highly recommend you browse this repository. We have collected papers on AI Sign Language (SL) comprehensively and categorized them according to different criteria (by time, type of research, institution, etc.).
• CVT-SLR [Github]
  Official code of the CVPR 2023 paper (Highlight presentation) CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment
• Context2Vector [Github]
  Official code of the ACL 2022 paper Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings

Selected Awards  [Top]

Academic Services  [Top]

Research Intern  [Top]

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