Researcher / Builder / Engineer

Junjie Li.李骏杰

Researching and building secure, reliable AI systems.

AI for SecurityHarness EngineeringSoftware & Systems Security
Curiosity → experiments → systems

01Research focus

Questions worth working on.

Where security meets the systems we build—and the evidence we use to trust them.

01 /

AI security

Studying how LLM applications separate trusted tasks from untrusted content, and how defenses affect both security and utility.

Prompt injection / Trust boundaries / LLM applications
02 /

Harness engineering

Building structured datasets, controlled comparisons, and inspectable evaluation workflows for software and AI systems.

Reproducibility / Benchmark design / Empirical evaluation
03 /

Software & systems security

Modeling authorization logic and system behavior, then checking whether comparable execution paths enforce consistent rules.

Authorization / Logic vulnerabilities / System behavior

02Selected work

Ideas, put into practice.

A selection of research and engineering work. Built to understand, evaluate, and improve.

01

SpecGuard

Channel-aware defense for indirect prompt injection in LLM applications.

  • AI security
  • Python
  • BIPIA
  • Tensor Trust
Research notes

A black-box defense that separates trusted tasks from instructions embedded in untrusted content. The recorded local benchmark covers 1,546 curated records, four models, and six defenses; aggregate ASR changes from 0.671 to 0.322, with a documented utility trade-off. These are local results, not independent replication.

2026

Course research

02

HVCR

A benchmark for causal reasoning in physically grounded video scenarios.

  • Multimodal reasoning
  • PyBullet
  • Blender
  • OpenCV
Research notes

Contributed to controlled physics simulation, rendering, and video processing at Shanghai AI Laboratory. The work includes video-question construction and comparative evaluation of multimodal models and human responses; no current submission outcome is asserted.

2025

Project contributor · Shanghai AI Laboratory

03

DCASE / FISHER

Pretrained audio model transfer and fusion for industrial anomalous sound detection.

  • Audio intelligence
  • Self-supervised learning
  • Model fusion
Research notes

Explored self-supervised audio model transfer, generative audio augmentation, Bayesian-optimized ensembles, and multi-sampling-rate fusion. The available project status is recorded as of December 2025; rankings, publication status, and numerical results are not asserted.

2025

Research project

04

CLIP implementation

Image–text contrastive learning with controlled encoder and training experiments.

  • PyTorch
  • Contrastive learning
  • Flickr8k
Research notes

Implemented a CLIP-style dual encoder in PyTorch with an InfoNCE objective. Built a Flickr8k training pipeline using AdamW, cosine scheduling, and image augmentation, and explored BERT and Vision Transformer encoders. Retrieval metrics remain omitted pending evidence review.

2025

Model implementation study

Further explorations

04 PROJECTS

Reliable industrial sound detection

2026

Foundation-model transfer and reliable model selection for acoustic monitoring.

Research notes

Bachelor’s thesis research combining foundation-model transfer, reliable model selection, fusion calibration, and dual-channel evidence for industrial anomalous sound detection.

Logic vulnerability dataset

2026

A CVE/CWE-centered corpus for recurring logic-vulnerability scenarios and mechanisms.

Research notes

The reviewed repository snapshot from August 2026 records 2,626 analyzed rows across a 23-CWE allowlist, with a Python pipeline for structured scenario and mechanism reports. The counts describe that snapshot, not a live database.

JS Web authorization research

2026

An evidence-first workflow for authorization logic in JavaScript and TypeScript backends.

Research notes

A four-stage research method separating repository selection, safe-anchor discovery, authorization-context recovery, and V1/V2 comparison. It describes a conservative research workflow, not a validated one-command vulnerability scanner.

Robot vision utilities

Camera calibration and screen-based flower recognition for a robotics project.

Research notes

Computer-vision modules using OpenCV, NumPy, and Jupyter. The reviewed repository supports the implementation summary; it does not establish project dates, competition results, or an individual leadership role.

03Research journey

Across places. Through ideas.

A few places that have shaped how I think—and what I work on next.

An evolving map04 PLACES

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Selected · Singapore

Drag to explore · Select a place

Singapore

1.35°N / 103.82°E

2026.08 — PresentEducation

Beginning the PhD journey

Nanyang Technological University

PhD student in the College of Computing and Data Science, supervised by Prof. Xiaofeng Wang. Research interests include AI for security and harness engineering.

Different coordinates. Connected questions.04 PLACES 05 CHAPTERS

04Experience & education

Learning by doing.

Research experience

2026

Independent research

Authorization logic & LLM application security

Developing evidence-first workflows for logic-vulnerability analysis, historical case organization, and prompt-injection defense evaluation.

Related work

2025.06 — 2025.09

Shanghai AI Laboratory

Research intern

Contributed to a causal video-reasoning benchmark and a physics-based data-generation pipeline as a listed collaborator.

Related work

Education

2026.08 — Present

Nanyang Technological University

PhD Student · Computing and Data Science

Supervised by Prof. Xiaofeng Wang.

2022 — 2026

Tsinghua University

B.E. · Electronic Information Science and Technology

Department of Electronic Engineering. Thesis on reliable foundation-model transfer for industrial anomalous sound detection.

Related work

05Publications & writing

Research, in writing.

Manuscripts, research software, and reports. Each work is listed with its current documented status.

2025

Manuscript & research software

HVCR: Causal Evaluation of Large Multimodal Models in Human-like Video Reasoning

Yanxi Zhang, Junjie Li, Dongyan Zhao, Chaochao Lu

Repository-listed software citation

Co-authored work. No venue acceptance is asserted in the reviewed public record.

2026

Bachelor’s thesis

Reliable Foundation-Model Transfer for Industrial Anomalous Sound Detection

Department of Electronic Engineering, Tsinghua University

The reviewed public summary is available on this site.

2026

Course research report

SpecGuard: Channel-Aware Prompt Defense for Indirect Prompt Injection

Artificial Intelligence Safety and Governance course project

Results come from a recorded local benchmark, not an independently reproduced study.

06Recognition

Awards & recognition.

  • 2019

    Silver Medal · 20th Asian Physics Olympiad (APhO)

    Adelaide, Australia