CV

Work Experience

• Research Assistant Professor(RAP) (Jul 2024 - Present)
  • Hong Kong Institute of Innovation, Chinese Academy of Sciences (HKII-CAS)
  • Supervisors: Prof. Zhen Lei and Prof. Jiebo Luo
  • Research Focus: AI Foundation Models, AI for Science (Life Science), and Medical AI.
• Visiting Scholar (Nov 2023 - May 2024)
  • National University of Singapore (NUS)
  • Advisor: Prof. Yang You
  • Research Focus: Large scale optimization and foundation models.

Education

• Ph.D. in Electronic Science and Technology (Sept 2020 - Jun 2024)
  • Zhejiang University (Jointly trained with Westlake University)
  • Advisor: Prof. Stan Z. Li (IEEE Fellow)
  • Thesis: Deep Manifold Learning and its Applications in Bioinformatics.
• M.S. in Computer Science (Sept 2017 - Jun 2020)
  • Zhejiang University of Technology - Computer Science and Technology College
  • Honor: Outstanding Graduate, National Scholarship.
• B.E. in Automation (Sept 2013 - Jun 2017)
  • Zhejiang University - City College
  • Honor: Outstanding Graduate, National Scholarship.

Research Interests

• AI for Life Science: Single-cell analysis, Spatial transcriptomics, Molecular modeling, Phylogenetic inference.
• Medical AI: LLM agents for medical reasoning, Multi-modal clinical diagnosis.
• Fundamental AI: Manifold learning, Geometric deep learning, Trustworthy AI.

Skills

• Programming: Python, C/C++, MATLAB, Shell.
• Frameworks: PyTorch, TensorFlow, Scanpy, HuggingFace.
• Tools: Git, Docker, LaTeX, Linux.
• Languages: English (Professional), Mandarin (Native).

Academic Service

• Journal Reviewer:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Visualization and Computer Graphics (TVCG)
  • Briefings in Bioinformatics (BIB)
  • Nature Communications
• Conference Reviewer:
  • CVPR, ICCV, ECCV
  • NeurIPS, ICML, ICLR, AAAI, IJCAI

Publications

ReGenHOI: Unifying Reconstruction and Generation for 3D Human–Object Interaction Understanding

Miao Xu, Xiangyu Zhu, Zidu Wang, Xusheng Liang, Bao Li, Jinlin Wu, Zelin Zang, Zhen Lei. (2026). "ReGenHOI: Unifying Reconstruction and Generation for 3D Human–Object Interaction Understanding." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning

Zelin Zang, Wenyi Gu, Siqi Ma, Dan Yang, Yue Shen, Zhu Zhang, Guohui Fan, Wing-Kuen Ling, Fuji Yang. (2026). "A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning." IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

TCG-LLM: Physics-aware Fine-tuning with Quality-based Reward Shaping for Tropical Cyclogenesis Detection and Localization

Zhaoyang Ma, Zelin Zang, Dongfang Ma. (2026). "TCG-LLM: Physics-aware Fine-tuning with Quality-based Reward Shaping for Tropical Cyclogenesis Detection and Localization." ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026, AI4Sciences Track.

scHelix: Asymmetric Dual-Stream Integration via Explicit Gene-Level Disentanglement

Xichen Yan*, Zelin Zang*, Changxi Chi, Jingbo Zhou, Chang Yu, Jinlin Wu, Shenghui Cheng, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li. (2026). "scHelix: Asymmetric Dual-Stream Integration via Explicit Gene-Level Disentanglement." ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026, AI4Sciences Track.

HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference

Zelin Zang, WenZhe Li, Yongjie Xu, Chang Yu, Changxi Chi, Jingbo Zhou, Zhen Lei, Stan Z. Li. (2026). "HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference." International Conference on Machine Learning (ICML).

Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation

Changxi Chi, Jun Xia, Yufei Huang, Zhuoli Ouyang, Cheng Tan, Yunfan Liu, Jingbo Zhou, Chang Yu, Liangyu Yuan, Siyuan Li, Zelin Zang, Stan Z. Li. (2026). "Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation." International Conference on Learning Representations (ICLR).

CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological Modeling

Chang Yu, Siyuan Li, Zicheng Liu, Jingbo Zhou, Xianglong Guo, Kai Yu, Yuqing Zhou, Ken Li, Zelin Zang, Zhen Lei, Stan Z. Li. (2026). "CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological Modeling." International Conference on Learning Representations (ICLR).

VeriLLMed: Visual Debugging of Medical Large Language Models with Knowledge Graphs

Yurui Xiang, Xingyi Mao, Rui Sheng, Zixin Chen, Zelin Zang, Yuyang Wu, Haipeng Zeng, Huamin Qu, Yushi Sun, Yanna Lin. (2026). "VeriLLMed: Visual Debugging of Medical Large Language Models with Knowledge Graphs." IEEE Visualization and Visual Analytics (VIS).

CellPrism: A Visual Analytics System for Exploring AI-Driven Virtual Cells in Drug Discovery

Chuhan Shi, Zijian Guo, Zelin Zang, Chengbo Zheng, Ding Ding, Rui Sheng. (2026). "CellPrism: A Visual Analytics System for Exploring AI-Driven Virtual Cells in Drug Discovery." IEEE Visualization and Visual Analytics (VIS).

Adaptive Prototype-guided Personalized Propagation for Heterophilic Graphs with Missing Data

Mengran Li, Wenbin Xing, Zelin Zang, Bo Li, Chengyang Zhang, Yong Zhang, Junzhou Chen, Ronghui Zhang, Yongfu Li, Chuan Hu, Xiaolei Ma, Zibin Zheng. (2026). "Adaptive Prototype-guided Personalized Propagation for Heterophilic Graphs with Missing Data." IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models

Siqi Ma, Jiajie Huang, Bolin Yang, Fan Zhang, Jinlin Wu, Yue Shen, Guohui Fan, Zhu Zhang, Zelin Zang. (2026). "MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models." AAAI Conference on Artificial Intelligence (AAAI).

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges

Changxi Chi, Yufei Huang, Jun Xia, Jingbo Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li. (2026). "Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges." AAAI Conference on Artificial Intelligence (AAAI).

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling

Mengran Li*, Zelin Zang*, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li. (2026). "Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling." AAAI Conference on Artificial Intelligence (AAAI).

UniSurg: A Video-Native Foundation Model for Universal Understanding of Surgical Videos

Jinlin Wu, Filip Holm, Chuang Chen, Aoxiao Wang, Yutong Hu, Xiangyu Ye, Zelin Zang, Miao Xu, Lei Zhou, Hongliang Liao, et al. (2026). "UniSurg: A Video-Native Foundation Model for Universal Understanding of Surgical Videos." arXiv preprint arXiv:2602.05638.

CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery

Rui Sheng, Zelin Zang, Jiachen Wang, Yan Luo, Zixin Chen, Yan Zhou, Shaolun Ruan, Huamin Qu. (2026). "CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery." IEEE Transactions on Visualization and Computer Graphics (TVCG).

Expanding the RNA Virus Universe by Deep Learning Discovery with Rider

Gaoyang Luo*, Zelin Zang*, et al. (2026). "Expanding the RNA Virus Universe by Deep Learning Discovery with Rider." Under Review at Nature Methods.

Single Cell Lineage Foundation Model

Zelin Zang, et al. (2026). "Single Cell Lineage Foundation Model." Under Review at Nature Machine Intelligence.

Multi-center multi-omics integration predicts individualized prognosis in medullary thyroid carcinoma

Yan Zhou*, Yingrui Wang*, Xiao Shi*, Jiatong Wang*, Zelin Zang*, Likun Zhang*, Zhiqiang Gui, Xue Cai, Pingping Hu, Jiaxi Wang, Hanqing Liu, Zhihong Wang, Haixia Guan, Xiaohong Wu, Cenkai Shen, Yi He, Mo Li, Hao Zhang, Jianbiao Wang, Yijun Wu, Chuang Chen, Yi Zhu, Yaoting Sun, Zhiyan Liu, Yu Wang, Tiannan Guo. (2026). "Multi-center multi-omics integration predicts individualized prognosis in medullary thyroid carcinoma." Nature Communications, 17(432).

MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference

Zelin Zang, Chenrui Duan, Siyuan Li, Jinlin Wu, BingoWing-Kuen Ling, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li. (2026). "MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference." Transactions on Machine Learning Research.

DMT-ME: MOE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and Visualization

Zelin Zang, Yuhao Wang, Jinlin Wu, Hong Liu, Yue Shen, Zhen Lei, Stan Z. Li. (2026). "DMT-ME: MOE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and Visualization." IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

The Dawn of Agentic EDA: A Survey of Autonomous Digital Chip Design

Zelin Zang, Yutong Song, Bingo Wing-Kuen Ling, Aoxiao Wang, Fuji Yang. (2025). "The Dawn of Agentic EDA: A Survey of Autonomous Digital Chip Design." arXiv preprint arXiv:2512.23189.

FGeneBERT: Function-driven pre-trained gene language model for metagenomics

Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He, Siyuan Li, Zihan Liu, Zhen Lei, Ju-Sheng Zheng, Stan Z. Li. (2025). "FGeneBERT: Function-driven pre-trained gene language model for metagenomics." Briefings in Bioinformatics.

Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes

Miao Xu, Xiangyu Zhu, Jinlin Wu, Ming Feng, Zelin Zang, Hongbin Liu, Zhen Lei. (2025). "Reconstructing 3D Hand-Instrument Interaction from a Single 2D Image in Medical Scenes." Medical Image Computing and Computer Assisted Intervention (MICCAI).

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing

Yufei Huang, Bangyan Liao, Yuqi Hu, Haitao Lin, Lirong Wu, Siyuan Li, Cheng Tan, Zicheng Liu, Yunfan Liu, Zelin Zang, Chang Yu, Zhen Lei. (2025). "DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series

Hong Liu, Xiuxiu Qiu, Yiming Shi, Zelin Zang. (2025). "USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series." ICASSP 2025.

Deep Multimanifold Transformation-Based Multivariate Time Series Fault Detection

Hong Liu, Xiuxiu Qiu, Yiming Shi, Miao Xu, Zelin Zang, Zhen Lei. (2025). "Deep Multimanifold Transformation-Based Multivariate Time Series Fault Detection." IEEE TNNLS.

MuST: Advancing Unified Spatial Transcriptomics Multitask Analysis with Multimodal Structure Transformation

Zelin Zang, Liangyu Li, Yongjie Xu, Chenrui Duan, Yue Shen, Yi Sun, Zhen Lei, Stan Z. Li. (2025). "MuST: Advancing Unified Spatial Transcriptomics Multitask Analysis with Multimodal Structure Transformation." Briefings in Bioinformatics.

Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation

Zelin Zang*, Yongjie Xu*, Bozhen Hu, Yue Yuan, Cheng Tan, Jun Xia, Stan Z. Li. (2025). "Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation." Briefings in Bioinformatics.

A review of artificial intelligence based biological-tree construction: Priorities, methods, applications and trends

Zelin Zang, Yongjie Xu, Chenrui Duan, Jinlin Wu, Stan Z. Li, Zhen Lei. (2025). "A review of artificial intelligence based biological-tree construction: Priorities, methods, applications and trends." Information Fusion.

PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation

Chenrui Duan*, Zelin Zang*, Siyuan Li, Yongjie Xu, Stan Z. Li. (2024). "PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation." NeurIPS 2024.

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation

Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Li, Yang You. (2024). "DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation." International Conference on Machine Learning (ICML).

Neural network diffusion

Kai Wang, Dongwen Tang, Boya Zeng, Yida Yin, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You. (2024). "Neural network diffusion." arXiv preprint arXiv:2402.13144.

The heterophilic graph learning handbook: Benchmarks, models, theoretical analysis, applications and challenges

Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Zelin Zang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka. (2024). "The heterophilic graph learning handbook: Benchmarks, models, theoretical analysis, applications and challenges." arXiv preprint arXiv:2407.09618.

DMTEV: An Explainable Deep Network for Dimension Reduction

Zelin Zang, Shenghui Cheng, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li. (2024). "DMTEV: An Explainable Deep Network for Dimension Reduction." IEEE Transactions on Visualization and Computer Graphics (TVCG).

Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier

Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li. (2023). "Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier." ICCV 2023.

UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection

Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li. (2023). "UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection." Neural Networks.

Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction

Yongjie Xu*, Zelin Zang*, Jun Xia, Cheng Tan, Yulan Geng, Stan Z. Li. (2023). "Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction." Communications Biology.

Protein structure and folding pathway prediction based on remote homologs recognition using PAthreader

Kailong Zhao, Yuhao Xia, Fujin Zhang, Zelin Zang, Stan Z. Li, Guijun Zhang. (2023). "Protein structure and folding pathway prediction based on remote homologs recognition using PAthreader." Communications biology.

Architecture-Agnostic Masked Image Modeling–From ViT back to CNN

Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Li. (2023). "Architecture-Agnostic Masked Image Modeling--From ViT back to CNN." International Conference on Machine Learning (ICML23).

Machine learning for predictive deployment of UAVs with multiple access

Feiyang Guo, Linyan Lu, Zelin Zang, Mohammad Shikh-Bahaei. (2023). "Machine learning for predictive deployment of UAVs with multiple access." IEEE Open Journal of the Communications Society.

Align yourself: Self-supervised pre-training for fine-grained recognition via saliency alignment

Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li. (2023). "Align yourself: Self-supervised pre-training for fine-grained recognition via saliency alignment." IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

DLME: Deep Local-flatness Manifold Embedding

Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li. (2022). "DLME: Deep Local-flatness Manifold Embedding." ECCV 2022.

Artificial intelligence defines protein-based classification of thyroid nodules

Yaoting Sun*, Sathiyamoorthy Selvarajan*, Zelin Zang*, Wei Liu, Yi Zhu, Hao Zhang, Wanyuan Chen, Hao Chen, Lu Li, Xue Cai, Huanhuan Gao, Zhicheng Wu, Yongfu Zhao, Lirong Chen, Xiaodong Teng, Sangeeta Mantoo, Tony Kiat-Hon Lim, Bhuvaneswari Hariraman, Serene Yeow, Syed Muhammad Fahmy Alkaff, Sze Sing Lee, Guan Ruan, Qiushi Zhang, Tiansheng Zhu, Yifan Hu, Zhen Dong, Weigang Ge, Qi Xiao, Weibin Wang, Guangzhi Wang, Junhong Xiao, Yi He, Zhihong Wang, Wei Sun, Yuan Qin, Jiang Zhu, Xu Zheng, Linyan Wang, Xi Zheng, Kailun Xu, Yingkuan Shao, Shu Zheng, Kexin Liu, Ruedi Aebersold, Haixia Guan, Xiaohong Wu, Dingcun Luo, Wen Tian, Stan Ziqing Li, Oi Lian Kon, Narayanan Gopalakrishna Iyer, Tiannan Guo. (2022). "Artificial intelligence defines protein-based classification of thyroid nodules." Cell Discovery.

Deep manifold embedding of attributed graphs

Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li. (2022). "Deep manifold embedding of attributed graphs." Neurocomputing.

Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation

Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li. (2022). "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation." IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements

Kai Zhou*, Yaoting Sun*, Lu Li*, Zelin Zang*, Jing Wang, Jun Li, Junbo Liang, Fangfei Zhang, Qiushi Zhang, Weigang Ge, Li Yang, Hao Chen, Lu He, Xiaohong Wu, Mingfeng Pei, Hong Zhu, Junhong Xiao, Jinming Li, Sujie Cao, Han Yu, Dingcun Luo, Cheng Zhang, Yi Zhu, Baofu Chen, Stan Z. Li, Tiannan Guo. (2021). "Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements." Computational and structural biotechnology journal.

Phenotype classification using proteome data in a data-independent acquisition tensor format

Fangfei Zhang, Shaoyang Yu, Lirong Wu, Zelin Zang, Xiao Yi, Jiang Zhu, Cong Lu, Ping Sun, Yaoting Sun, Sathiyamoorthy Selvarajan, Lirong Chen, Xiaodong Teng, Yongfu Zhao, Guangzhi Wang, Junhong Xiao, Shiang Huang, Oi Lian Kon, N. Gopalakrishna Iyer, Stan Z. Li, Zhongzhi Luan, Tiannan Guo. (2020). "Phenotype classification using proteome data in a data-independent acquisition tensor format." Journal of the American Society for Mass Spectrometry.

Markov-lipschitz deep learning

Stan Z. Li, Zelin Zang, Lirong Wu. (2020). "Markov-lipschitz deep learning." arXiv preprint arXiv:2006.08256.

Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition

Guoqi Chen, Wanliang Wang, Zheng Wang, Honghai Liu, Zelin Zang, Weikun Li. (2020). "Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition." Applied Intelligence.

Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation

Zelin Zang, Wanliang Wang, Yuhang Song, Linyan Lu, Weikun Li, Yule Wang, Yanwei Zhao. (2019). "Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation." Computational intelligence and neuroscience.

Precise control and prediction of the greenhouse growth environment of Dendrobium candidum

Jin-Ting Ding, Hang-Yao Tu, Ze-Lin Zang, Min Huang, Sheng-Jun Zhou. (2018). "Precise control and prediction of the greenhouse growth environment of Dendrobium candidum." Computers and electronics in agriculture.

Talks

Multi-Modal Molecular Dynamics: Research Planning and Strategic Directions

November 25, 2025

Planning Meeting at CAIR Strategic Research Planning Session, Hong Kong

Virtual Cell Foundation Models: Technical Architecture and Implementation

November 24, 2025

Technical Proposal at BGI Virtual Cell Project Planning Meeting, Shenzhen, China

Mass Spectrometry-Based Proteomics for Cancer Subtyping and Prognosis Prediction

November 24, 2025

Research Seminar at BGI Proteomics Research Seminar, Shenzhen, China

Deep Learning for Spatial Transcriptomics: Coverage and Resolution Enhancement

November 14, 2025

Academic Seminar at Computational Biology Research Seminar, Beijing, China

Industrial AI Agent System: Mid-term Progress and Technical Achievements

August 19, 2025

Progress Report at Rootcloud AI Project Review Meeting, Shanghai, China

Medical Artificial Intelligence: Bridging Research and Clinical Practice

July 09, 2025

Seminar Presentation at Medical AI Research Seminar (Ant Group Collaboration), Hangzhou, China

AI Virtual Cell: Building Computational Models of Cellular Systems

June 25, 2025

Project Proposal at CAIR Research Proposal Presentation, Hong Kong

AI for Precision Medicine: From Data to Clinical Insights

June 12, 2025

Workshop Presentation at Guangzhou Health Data Intelligence Workshop, Guangzhou, China

Proteomics Meets Single-Cell: Integration and Analysis Progress

October 26, 2024

Progress Report at Proteomics and Single-Cell Biology Workshop, Shanghai, China

Multi-Modal Learning for Complex Biological Systems: Challenges and Opportunities

October 26, 2024

Keynote Speech at Multi-Modal Biological Data Integration Symposium (Opening Ceremony), Beijing, China

Deep Manifold Learning for High-Dimensional Data Analysis: Methods, Theory, and Applications

October 24, 2024

Ph.D. Dissertation Defense at Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China

Foundation Models for Medical Diagnosis and Clinical Decision Support

October 08, 2024

Invited Lecture at West Coast AI in Healthcare Conference, San Francisco, CA, USA

Cell Annotation and Matching Methods for Single-Cell Analysis

September 23, 2024

Research Talk at Computational Biology Seminar, Beijing, China

Deep Learning for High-Dimensional Data Analysis and Visualization

September 14, 2024

Forum Presentation at High-Dimensional Data Analysis Research Forum, Shanghai, China

Recent Developments in Retrieval-Augmented Generation for Scientific Applications

September 04, 2024

Technical Seminar at AI Technology Forum, Hangzhou, China

Single-Cell Foundation Models and Cell Knowledge Base Construction

August 15, 2024

Research Preview at BGI Research Seminar, Shenzhen, China

Phylogenetic Tree Generation and Evolutionary Analysis Using Deep Learning

August 12, 2024

Research Seminar at CAIR (Centre for Artificial Intelligence Research), Hong Kong, Hong Kong

Technical Discussion on Large-Scale Model Training and Optimization

July 31, 2024

Technical Discussion at Team Technical Meeting, Hangzhou, China

Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch

July 31, 2024

Poster Presentation at International Conference on Machine Learning (ICML 2024), Vienna, Austria

Research Presentation: AI for Biological Sciences and Medical Applications

June 27, 2024

Job Talk at Westlake University / Zhejiang University Joint Faculty Interview, Hangzhou, China

Deep Learning for Proteomics-Based Cancer Classification and Prognosis

May 24, 2024

Research Talk at BGI Genomics (Hangzhou Genomics Institute), Hangzhou, China

Geometric Deep Learning for Drug Discovery and Single-Cell Omics

April 01, 2024

Research Talk at Biomedical AI Symposium, Hangzhou, China

High-Performance Computing for AI: Scalable Deep Learning Systems

March 12, 2024

Lecture at National University of Singapore, HPC-AI Lab, Singapore

Diffusion-Based Data Augmentation for Unsupervised Contrastive Learning

April 21, 2023

Research Presentation at Lab Research Seminar, Hangzhou, China

FINE Review: AI for Science Research Progress and Applications

April 06, 2023

Presentation at FINE Research Assessment, Beijing, China

Deep Manifold Transformation for Explainable Visualization (DMTEV)

March 22, 2023

Talk at Fudan University, School of Computer Science, Shanghai, China

Teaching

Deep Learning - Graduate Course (Teaching Assistant)

Deep Learning - Graduate Course (Teaching Assistant)

Service and leadership