I am currently a first-year CS PhD student at Rutgers University supervised by Professor Zheng(Eddy)Zhang working on quantum machine learning. I received my bachelor degree in the CS Department (by courtesy) at Lanzhou University(since 2019) majoring in CS and I was affiliated with the Centers for Computer Software and Theory with Prof. Yonggang Lu . Before my first year in Rutgers, I was an intern in Westlake University supervised by Prof. Fajie Yuan researching on AI + Biology.

 📈Blogs

• 2025.02.22:   Actively collaborating with Lawrence Berkeley National Lab on Compiling Fermions.
• 2025.01.25:   One paper on code generation preparing for Neural ips 2025.

  🔥 News

• 2025.03.23:  🎉🎉 One paper on Hybrid-CV-DV is accepted as first-co-author at ISCA 2025
• 2024.12.06:  🎉🎉 Following my phd supervisor eddy to visit Berkeley Lawrence National lab
• 2024.10.26:  🎉🎉 Congrats to Hongji!One paper accepted at WSDM(THU-A) 2025 with four WAs and 1 AC!
• 2024.09.01:  🎉🎉 I’m beginning my journey in Rutgers University
• 2024.07.10:  🎉🎉 Our survey paper on community detection has been published in Neurocomputing 2024(IF:6.0, SCI Q2, JCR Q1)
• 2024.05.10:  🎉🎉 Congrats to Sony, a paper regarding multi-modal alignment in sentiment analysis is accepted in IJCNN2024(CCF C, oral)
• 2023.08.01:  🎉🎉 I gave an oral presentation at ICIC 2023(CCF C, oral) for my paper regarding community detection.

  📝 Publications

  * denotes equal contribution, ** denotes corresponding author

• A comprehensive review of community detection in graphs NeuroComputing

Jiakang Li† , Songning Lai†, Zhihao Shuai, Yuan Tan…, **Yonggang Lu

• Community Detection Using Revised Medoid-Shift Based on KNN ICIC2023 (oral)

Jiakang Li, Xiaokang Peng, Jie Hou, Wei Ke, **Yonggang Lu

• Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning IJCNN 2024 (oral)

Sony Lai, Jiakang Li, Guinan Guo, Xifeng Hu…

• Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration WSDM 2025 (oral)

Hongji Li, Hanwen Du, Youhua Li, …Jiakang Li, Yongxin Ni**

🌟 Research Experience

• 2022.01-2023.04 Research Intern at Lanzhou University advised by Prof. Yonggang Lu

Machine Learning clustering algorithm as well as its application on community detection, Lanzhou

• 2023.04-2023.11 Research Intern at Westlake University advised by Dr. Fajie Yuan

Ai 4 Science with problems focusing on Protein-Protein-Interaction prediction using deep learning method, Hangzhou

🎖 Honors and Awards

• 2020.12 Lanzhou University Second-Class Scholarship.
• 2021.12 Lanzhou University Second-Class Scholarship.
• 2022.12 Lanzhou University Third-Class Scholarship.
• 2020.12/2021.12/2022.12 University-wide Learning Model.

📖 Educations

• 2024.09 - (now), CS Phd in Rutgers University.
• 2021.01 - 2021.06, Exchange student in University of California, Berkeley, UCB(EECS)
• 2021.01 - 2021.02, Winter course on Vision Science(Cognitive Lab), Massachusetts Institute of Technology，MIT(EECS)
• 2019.09 - 2023.06, B.S. in Lanzhou University with GPA ranking top 13%.

🚀 Teaching Experience

• Teaching Assitant , CS206: Discrete Structures, Rutgers University, 2024 Fall
• Teaching Assitant , CS415: Compilers, Rutgers University, 2025 Spring

 📈Academic Service

-Reviewer for ICME 2025, IJCNN 2025

💬 Invited Talks

• xxxx.xx.xx, Hopefully there will be some in the future

💻 Internships

• 2022.06 - 2022.10, Trip.com携程, Shanghai, China.

I interned as a machine leanring algorithm intern in airline ticket department, where I helped to impove the accuracy for predicting the airline tickets prices; Also I was responsible for risk management project, I trained a machine learning model and improve its precision for capturing malicious users to 90% compared with its previous update five years ago.