openreviewYiquan Wang(王一权)
|
School of Mathematics and System Sciences, Xinjiang University (Urumqi, Xinjiang)
Artificial Intelligence
Deep Learning
AI for Science
Bioinformatics
Computational Biology
Mathematical Modeling
Neuroscience
|
Personal Profile
At present, more than 10 SCI/EI papers have been published, and 3 papers have been presented at the top AI conference ICLR. In my undergraduate studies, I plan to advance through three stages and two main themes. The promotion of three stages of vacation: summer school at top domestic universities, internship at top domestic enterprises, and summer study at overseas universities, striving to enrich one's social insights and exercise personal cognitive abilities. During the semester, there will be two main themes: achieving a deep integration of learning and application in undergraduate courses at Xinjiang University and research training at Tsinghua University Tsien Excellence in Engineering Program (ESRT, ORIC).
Education
Undergraduate：
Xinjiang University School of Mathematics and System Sciences--National Base for Research and Teaching Talents in Basic Sciences "Mathematics"--Major in Mathematics and Applied Mathematics , 2023.09-2027.06
Main Courses: Mathematical Analysis, Advanced Algebra, Analytical Geometry, Partial Differential Equations, Functional Analysis, etc. See Mathematics Base Introduction
Joint Training：
Tsinghua University Tsien Excellence in Engineering Program - Shenzhen X-Institute , 2024.06-2027.06
Main Research: ESRT, ORIC, SURF See Qian Class Step-by-Step Training Program
Visiting Student：
Shenzhen Bay Laboratory-Institute of Neurological and Psychiatric Disorders-Wen Yuan Research Group, 2025.07-2025.09
Research Interests: Neuroscience, Biochemistry, Computational Biology
Research Experience
My research direction is AI for Science, focusing on the cross fusion of deep learning, bioinformatics, and mathematical modeling, with the aim of using artificial intelligence technology to study the mechanisms of diseases. I am committed to using advanced deep learning algorithms to deeply analyze complex patterns in biological data, and combining them with insights from bioinformatics and rigorous mathematical models to develop efficient and accurate biological mathematical models, ultimately achieving earlier and more accurate analysis of disease mechanisms and risk assessment and prediction.
Selected Papers
Yiquan Wang.*, Minnuo Cai., Tin-Yeh Huang. AI for disease prediction: Performance insights and key limitations. Journal of Clinical Neuroscience. (First and corresponding author)
Yiquan Wang.* Jiaying Wang., Tin-Yeh Huang., et.al. STGCN-LSTM for Olympic Medal Prediction: Dynamic Power Modeling and Causal Policy Optimization. ICML 2025 Workshop. (Co-first and corresponding author)
Xu Wang., Yiquan Wang., Tin-Yeh Huang. Crypto-ncRNA: Non-coding RNA (ncRNA) Based Encryption Algorithm. ICLR 2025 Workshop. (Co-first author)
Xu Wang., Yiquan Wang.*, Jiazhuo Pan. Digital Art Creation and Copyright Protection in Pollock Style Using GANs, Fractal Analysis, and NFT Generation. ICLR 2025 Workshop. (Co-first and corresponding author)
Xu Wang., Yiquan Wang. Yuhua Dong., et.al. Symphony of Fate: Weaving Life through the Music of Amino Acids.ICML 2025 Workshop. (Co-first author)
Xu Wang.*, Yiquan Wang. et.al. A Personalized MOOC Learning Group and Course Recommendation Method Based on Graph Neural Network and Social Network Analysis. ICML 2025 Workshop. (Co-first author)
Xu Wang., Longji Xu., Yiquan Wang*. et.al. Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing Strategies. ICML 2025 Workshop. (Corresponding author)
Xu Wang., Fengzhou Wang., Yiquan Wang. Dialogues between adam and eve: exploration of unknown civilization language by llm. ICLR 2025 Workshop.
Yiquan Wang.*, Jialin Zhang., Yuhan Chang. A probability prediction model for flood disasters based on Multi-layer Perceptron. 2024 International Conference on Computational Modeling and Applied Mathematics. (CMAM 2024) JPCS.
Jiaying Wang., Yiquan Wang.* Multi-stage Crop Planting Strategy Optimisation Model Based on PSO Algorithm. The 3rd International Conference on Electronic Information Technology. (EIT 2024) IEEE. (Corresponding author)
Note: *Corresponding author
All articles on Google Scholar.
Academic Participation
Reviewer
ICML 2025 Workshop: 2nd AI for Math link
ICLR 2025 Workshop on AI for Nucleic Acids link
ICLR 2025 Workshop: The 1st Workshop on GenAI Watermarking link
Mini-Reviews in Medicinal Chemistry link
Current Science link
F1000 Research link
Research Projects
-
2025 College Student Innovation Training Project (National Level Project; Student Advisor): Copy Number Variation Conditional Diffusion Model: For Alzheimer's Disease Risk Assessment, 2025.4-2026.4
Main Content: This project aims to integrate copy number variation (CNV) features from whole-genome sequencing data with multi-dimensional clinical data such as metabolic indicators. Leveraging the success of diffusion models in processing high-dimensional simulation data and protein phenotype prediction, we will construct a comprehensive framework consisting of CNV feature encoding, genomic region attention, and conditional U-Net diffusion modules. This will simulate CNV distribution changes and evolutionary processes in the genome, analyze the specific role of CNV in regulating Alzheimer's disease pathways, and ultimately improve disease risk assessment and early intervention accuracy. Supervisor: Associate Professor Kai Wei (Xinjiang University, Thousand Talents Program)
Keywords: Diffusion; Copy Number Variation; WGS; Alzheimer's disease
-
2024 Chinese Academy of Sciences Undergraduate Innovation Practice Training Program (National Level Project; First Responsible Person): Extraction and Analysis of Global Heatwave Disaster Adaptation Elements Based on Multimodal BERT Model, 2024.11-2025.9
Main Content: This research uses a multimodal BERT model to integrate text, images, and structured data to precisely identify key factors affecting heatwave adaptation. The research results will provide solid theoretical and data support for formulating scientific global heatwave response strategies and enhance society's overall disaster adaptation capabilities. Supervisor: Researcher Yong Ge (Institute of Geographic Sciences and Natural Resources Research, CAS, Distinguished Young Scholar)
Keywords: Large Language Model; Spatial Analysis; BERT
-
2024 College Student Innovation Training Project (Autonomous Region Level Project; First Responsible Person): Research on the Generation Cyclability of Cartesian Product Graphs and Related Problems, 2024.03-2025.6
Main Content: This project mainly focuses on studying the generation cyclability of the n-th Cartesian product graphs of complete graphs. Currently, there are research results on the generation cyclability of n-th Cartesian product graphs of complete graphs with two vertices and three vertices. I mainly study the generation cyclability of n-th Cartesian product graphs of complete graphs with at least 4 vertices. Supervisor: Associate Professor Yimingjiang Shabier
Keywords: Graph Theory; Basic Mathematics
-
Tsinghua University Qian Xuesen Class ESRT: Symphony of Fate: Weaving Life through the Music of Amino Acids, 2024.8
Main Content: We transform protein sequence and structure information into musical encoding, exploring multidimensional functional relationships through spectral analysis. In our experiments, we analyzed the musical spectra mapped from over 2,000 proteins using machine learning models such as multi-layer perceptron and XGBoost, achieving a classification accuracy of 91.04% and a cross-validation score rate of up to 99.68%. Additionally, the proposed musical encoding harmony index significantly correlates with protein functions (such as enzyme activity). This research provides new theoretical insights for directed evolution and protein design. Supervisor: Associate Professor Yanhong Qin
Keywords: Machine Learning, Music Encoding, Protein Design, Function Prediction
Project Address:GitHub/Symphony_of_Fate
-
Research on Elderly Companionship Solutions Based on Artificial Intelligence Digital Twin Technology, 2024.12-2026.9
Main Content: This project, centered on artificial intelligence digital twin technology, aims to alleviate the lack of family companionship for the elderly in China's aging society, bridge the digital divide for older adults, and enhance primary and secondary school students' artificial intelligence practical capabilities. Implemented by Shenzhen X - Institute in collaboration with ByteDance and other organizations, the project is divided into preparation, implementation, and promotion phases. It plans to facilitate students in customizing personalized digital twins for the elderly, enhancing intergenerational communication, and exploring application scenarios of AI large models in social welfare. The project not only provides companionship and psychological support for the elderly at a spiritual level but also opens up a new path for Chinese-style elderly care while promoting artificial intelligence education and social innovation development. Through multi-party collaboration, risk management, and media promotion, the project will achieve the goal of progressing from pilot programs to nationwide promotion, with significant social, educational, and technological implications. Supervisor: Min Tang (Former Counselor of the State Council)
Keywords: Artificial Intelligence; Social Innovation
Learning Experience
Tsinghua University-Peking University Center for Life Sciences (Tsinghua) 2025 Summer Camp 2025.07 See Link
Shenzhen Academy of Medical Sciences / Shenzhen Bay Laboratory Summer Research 2025.07-2025.09
Tsinghua University Qian Xuesen Mechanics Class and Shenzhen X - Institute — Zero One Scholar (Long-term Training) 2024.06-2027.06
AI Winter School 2025 - CFPU/Brown University Department of Physics 2025.1
CAAI Artificial Intelligence and Technology Ethics Training Course by China Association for Artificial Intelligence 2024.9-2024.12
2024 Fudan University Summer School of Mathematical Logic 2024.08 See Link
Jinan University 2024 Guangdong Thousand Villages Survey Project 2024.08 See Link
Wuhan University National Tianyuan Mathematics Central Center - "Mathematics and Algorithms Triggered by Irrational Numbers" Discussion Class 2024.03-2024.6 See Link
Xinjiang University Innovation Laboratory/"Want to Put Memories Together for You" CTF Team Member 2024.03-2024.6 See Link
Internship Experience
Beijing Frontier Research Center for Biological Structure, Tsinghua University 2026.06-present: I developed the Polypeptide Structure Database and have been engaged in work on protein and polypeptide design.
Huawei Mindspore Community & Chinese Academy of Sciences Institute of Software Open Source Internship 2024.09-2025.3: I utilized machine learning, artificial intelligence, and other technologies to implement VGG19-based Pollock style transfer paintings with fractal and turbulence feature extraction and NFT tag generation. Currently reported by Huawei Official Account
Bose Quantum "Spark People" Community Intern 2024.09-present
Competition Honors
The Mathematical Contest in Modeling (MCM) Honorable Mention, 2025.5
2024 Alibaba Cloud Tianchi University Student Competition National Finals 17th Place, 2024.10See Link
2024 14th APMCM Asia-Pacific Mathematical Modeling Competition National Third Prize, 2024.08
"Alpha Egg Cup" 2024 National Amateur Go King Championship and "Commercial Travel Grand Canal Cup" City Go Competition 15th Place, 2024.07
Xinjiang Youth Amateur Go Dan Level Competition 53rd Place, 2024.05
Hunan Province Spring Cup Go Competition 7th Place, 2024.02
National Youth Intellectual Sports Meeting Go Competition 9th Place, 2024.02
Xinjiang University Vulnerability Reporting Honor, 2023.10
2023 Xinjiang "Tianshan Fixed Network Cup" Network Security Skills Competition 7th Place, 2023.10
In addition, I developed a Course Website for Shenzhen X - Institute
About Tsinghua University Tsien Excellence in Engineering Program - Shenzhen X-Institute:
Shenzhen X-Institute originated from the Tsinghua University "Xuetang Plan" Qian Xuesen Mechanics Class (abbreviated as "Tsinghua Qian Class"). Founded in 2009, Tsinghua Qian Class is one of the 66 pilot projects of the National "Outstanding Student Training Experimental Program for Basic Disciplines" and the "Tsinghua Xuetang Talent Training Plan". It is the only experimental class not positioned in a single discipline, but focused on engineering foundations (or interdisciplinary innovation across mechanics and all engineering technology disciplines). Its mission is to discover and cultivate innovative talents who aspire to change the world and benefit humanity through technology, explore future innovative talent training models, and answer "Qian Xuesen's Question".