Jinghao Wen Jinghao Wen

Hi, I'm Jinghao Wen —
PhD student, bartender & reader.

I am a PhD student in the Department of Electrical and Computer Engineering, Villanova University, advised by Prof. Xun Jiao. My current research interests lie in Machine Learning System, Robust AI, Efficient AI and Bio-inspired Computing.

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About Me

I am a PhD student in the Department of Electrical and Computer Engineering, Villanova University, advised by Prof. Xun Jiao. My current research interests lie in Machine Learning System, Robust AI, Efficient AI and Bio-inspired Computing. Overall research focuses on developing high-performant, energy-efficient, and robust-and-reliable AI/ML systems, using a cross-layer full-stack approach spanning hardware, software, and algorithm. I got my bachelor's degree from the School of Computer Science at Central China Normal University. During my undergraduate studies, I joined the Intelligent Robot Laboratory and, under the guidance of Prof. Xi Peng, engaged in projects and research related to embodied intelligence, human-computer interaction, and computer vision. In addition, I joined the SmartSystems Laboratory at the University of Florida. Under the guidance of Prof. Christophe Bobda, I conducted research on intelligent embedded systems, intelligent sensing, and robotics technology. The focus was on runtime optimization, researching the design and runtime operation of high-performance adaptive architectures, and applying it to fields such as image processing, embedded optimization, security and control.

I firmly believe that people need a lasting inner drive to maintain curiosity, awe and respect for all people and things, whether they know or not, without losing rational thinking or emotional observation. This is not only about scientific research, but more importantly, about life. Therefore, beyond scientific research, I also try to keep myself perceiving and exploring life: to experience different lifestyles and get to know different people; Taste and document various foods (exploring nearly fifty restaurants in New York one after another); Obtained the bartender certificate in New York. Read books of different themes; Record the moments along the way with a camera during the trip. Pick up the guitar that has been forgotten for many years again; Even at one point, he tried to use tarot cards to peek into some unknowns - although it still seems absurd now...

Research Interests

Machine Learning System Robust AI Efficient AI Bio-inspired Computing Medical AI

Publications ( show selected / show all by date / show all by topic )

Topics: Robust AI / Efficient AI / Bio-inspired Computing / Medical AI (*/†: indicates equal contribution.)
Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding
Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding
Huayu Li, ZhengXiao He, Siyuan Tian, Jinghao Wen, Ao Li
The European Chapter of the ACL (EACL), 2026
PaperCode
Improving Efficiency and Reliability of Computer Vision Models in Real-World Deployment with MX Quantization
Improving Efficiency and Reliability of Computer Vision Models in Real-World Deployment with MX Quantization
Jinghao Wen, Ruixuan Wang, Shaohuang Wang, Xun Jiao
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Paper
Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization
Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization
Huayu Li, ZhengXiao He, Siyuan Tian, Jinghao Wen, Ao Li
International Conference on Machine Learning (ICML), 2026
Paper
MILEAM: Modeling Input-Aware Logic Errors of Approximate Multipliers using Machine Learning
MILEAM: Modeling Input-Aware Logic Errors of Approximate Multipliers using Machine Learning
Jinghao Wen, Dongning Ma, Xun Jiao
IEEE International Symposium on Circuits and Systems (ISCAS), 2026
PaperSlides
Beyond Sampling: Classwise Loss Optimization for Imbalanced Deep Learning Recommendation Systems
Beyond Sampling: Classwise Loss Optimization for Imbalanced Deep Learning Recommendation Systems
Xulei Zhang*, Jinghao Wen*, Xun Jiao
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026
PaperCode
Revisiting Lottery Ticket Hypothesis: Toward Efficient and Robust Deep Neural Networks
Revisiting Lottery Ticket Hypothesis: Toward Efficient and Robust Deep Neural Networks
Ruixuan Wang, Jinghao Wen, Xun Jiao
Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), 2026
Paper
HDFlow: A Multi-layer Design and Evaluation Framework for Hyperdimensional Computing
HDFlow: A Multi-layer Design and Evaluation Framework for Hyperdimensional Computing
Jinghao Wen, Dongning Ma, Sizhe Zhang, Xun Jiao
The International Joint Conference on Neural Networks (IJCNN), 2026
Paper
Neuro-Symbolic AI vs. Vector Symbolic Architectures: Learning, Architecture and Reasoning
Neuro-Symbolic AI vs. Vector Symbolic Architectures: Learning, Architecture and Reasoning
Jinghao Wen, Zhengxiao He, Shaohuang Wang, Xun Jiao
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2026
Paper
Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing
Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing
Jinghao Wen, Dongning Ma, Sizhe Zhang, Hasshi Sudler, Xun Jiao
IEEE Biomedical Circuits and Systems Conference (BioCAS), 2025
Paper
A Comparative Study of Structured and Narrative EHR Data for 30-Day Readmission Risk Assessment
A Comparative Study of Structured and Narrative EHR Data for 30-Day Readmission Risk Assessment
Zhengxiao He, Huayu Li, Siyuan Tian, Jinghao Wen, Geng Yuan, Ao Li
Electronics, 2025
Paper
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Work Experience

Lagram
Startup · Current
Co-Founder & Machine Learning Engineer — Lagram Technologies
Co-founded an AI-driven compliance automation startup for Testing, Inspection, and Certification (TIC), building machine learning systems for regulatory reasoning, hybrid document retrieval, knowledge graphs, and traceable report generation. Supported early commercial deployment with international TIC companies including Intertek and DEKRA.
2025 – Present
Lagram
Research · Internship
Machine Learning Engineering Intern (Research-Oriented) — Internet Think Tank, Inc.
Developed HDCoin, a proof-of-useful-work blockchain framework that replaces conventional mining with useful training and verification of trustworthy biomedical Hyperdimensional Computing (HDC) models. Designed distributed HDC mining and verification pipelines and evaluated model performance, mining difficulty, and fairness across multiple biomedical datasets.
Fall 2025
Momenta
Internship
Project Product Manager & Algorithm Engineer Intern — Momenta (Autonomous Driving Company)
Supported end-to-end autonomous driving R&D projects by coordinating cross-functional teams, translating road-test and client requirements into engineering tasks, and contributing to obstacle avoidance and emergency decision-making algorithms. Completed 3,000+ miles of real-world highway testing, analyzing abnormal scenarios and validating algorithm performance to improve emergency response logic and scenario coverage.
Spring 2024
View full work experience →

Other Activities

Services
  • 2024-2026Reviewer — AAAI, IJCNN, ICASSP, TCAD, MWSCAS
  • 2024-2026Session Chair — IJCNN, MWSCAS
  • 2023Volunteer — China Robot Competition and RoboCup China Open
Teaching & Mentorship
  • 2026Intern Mentor — Xianglong Yu (UPenn, graduate student)
  • 2026Teaching Assistant — ECE 1261: Engineering Programming & Applications Lab (Villanova University, Spring 2026)
  • 2023Teaching Assistant — Advanced Language Programming Experimental Course (Central China Normal University, Fall 2023)
  • 2022Teaching Assistant — Data Structure (Central China Normal University, Spring 2022)

Awards & Competition

  • 2026🏆 Scholarship — Google Cloude Research Credits Scholarship · Google
  • 2024🏆 Fellowship — Yongping'89 and Fei Lin'89 Gu Endowed Graduate Engineering Fellowship · Villanova University
  • 2023🥈 Silver Medal — Multi-Objective Recommender System Competition, Kaggle · top4%, 2587 teams
  • 2023🥈 2nd Prize — 16th China College Students Computer Design Competition · national level
  • 2022🥇 1st Prize — 2022 China Robot Competition & RoboCup China Open (dance robot) · national level
  • 2022🥈 2nd Prize — 2022 China Robot Competition & RoboCup China Open (creative robot) · national level
© 2025 Jinghao Wen · Last updated March 2026