Tinghe Zhang
Software College, Northeastern University
Biography
I am an undergraduate student at Northeastern University (2023–2027), majoring in Computer Security at the Software College (GPA 4.24/5.0, ranked 1/93, top 1.01%). My research interests include LLM reasoning, AI Security, Computer vision, and Embodied AI. I am currently a research intern at the THU College of AI, working on reasoning models and autonomous driving with 3D point-cloud inputs.
I deeply believe in JEPA.
I proposed a new concept "Symbiotic AI" (I gonna write something to explain what it is like. Wait for my link.)
“What I cannot create, I do not understand.” — Richard Feynman
π If you are interested in my research or would like to collaborate (both research/business) or just wanna make a friend, feel free to reach out via email.
News
- 2026/05 One paper submitted to EMNLP 2026. Good luck π!
- 2026/05 One paper submitted to Neurips 2026. Good luck π!
- 2026/04 One paper submitted to ACM MM 2026. Good luck π!
- 2026/04 TOPOSHIELD accepted to ACL Findings 2026 (collaboration with SEU).π
- 2026/01 Started research internship at THU College of AI on LLM reasoning & embodied AI.
- 2025/12 Awarded the National Scholarship (top 0.2%).
- 2025/10 Won National First Prize (The Only Champion) at the “Challenge Cup” AI Main Competition (Β₯100,000).π₯³
- 2025/08 National First Prize at the National College Student Information Security Competition.π₯³
- 2025/05 Paper on distributed matrix multiplication accepted at IEEE NGDN 2025.π
- 2025/05 National First Prize at the National Software Innovation Contest.π₯³
- 2025/01 Paper on cross-lingual SLU accepted at ICASSP 2025 (collaboration with PKU).π
- 2024/09 Completed research internship at MIT; PWT paper published at IEEE UV 2024.π
- 2023/09 Started my academic journey at Northeastern University.
Experience
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THU College of AI Current Research Intern — Reasoning models (SFT, RL, test-time scaling) & embodied AI for autonomous driving.Dec 2025 – Present
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MIT Research Intern — Advancing Alzheimer’s PET synthesis from MRI with enhanced pathological feature preservation.Jul – Sep 2024
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Northeastern University Research — Secure distributed matrix multiplication; trajectory prediction with planning/reaction decomposition.2024 – Present
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Peking University Collaboration — Zero-shot cross-lingual spoken language understanding with syntax-aware contrastive learning.Aug – Oct 2024
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Southeast University Collaboration — Multi-agent security via spatio-temporal risk-aware topological evolution (TOPOSHIELD).Nov 2025 – Jan 2026
Selected Publications
co-first author · Full list on Google Scholar
Education
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Northeastern University B.Eng. in Computer Security · Software College GPA 4.24/5.0 · ranked 1/93 (top 1.01%) · IELTS 7.0Sep 2023 – Jun 2027 (expected)
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Liaoning Experimental High School High School Diploma2020 – 2023
Selected Honors & Awards
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National Scholarship Top 0.2%2025
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NEU First-Class Scholarship Top 3%2025
Projects & Competitions
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“Challenge Cup” AI Main Competition National First Prize (The Only Champion) · Β₯100,000Jun – Oct 2025
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National College Student Information Security Competition National First Prize · Β₯6,000Apr – Aug 2025
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National Software Innovation Contest National First Prize · Β₯15,000Jul – Sep 2024
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National College Student Innovation and Entrepreneurship Training Program National level · Leader · Excellent · Β₯15,000Nov 2024 – 2026
Open Source Projects
Co-developer
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NovelClaw 323 · 43 · Dynamic-memory-first collaborative AI for long-form story generation
Co-developer
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E2C-Paradigm 28 · 1 · High Efficient Reasoning Paradigm
Developer
Co-contributor
Activities & Services
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Communist Youth League Branch Secretary Software College, NEUSep 2024 – Present
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Student Representative of College Software College, NEUNov 2024 – Present
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Vice Chair, NEU–Huawei Singularity Club δΈε倧ε¦-εδΈΊε₯ηΉδΏ±δΉι¨May 2025 – Present
Research Vision
Reasoning in Large Language Models Current
Focused on a framework with SFT, RL, and test-time scaling to improve the reasoning ability of LLMs. @ THU College of AI.
Embodied AI & Autonomous Driving Current
Exploring autonomous driving with 3D point-cloud inputs. @ THU College of AI.
Long-term Research Goals
1. Moving Beyond Statistical Correlation, Toward True Understanding. I believe mainstream paradigms like the Transformer represent a highly efficient statistical shortcut rather than a genuine path to comprehension. My core pursuit is to conceive a novel architecture that enables intrinsic learning and autonomous reasoning in machines.
2. Abandoning the “General” Mirage, Embracing Domain Breakthroughs. I do not pursue the AGI fantasy of one model to solve everything. Instead, I find the vision of specialist superintelligence both feasible and compelling: building systems capable of assimilating knowledge, refining reasoning, and surpassing human expertise within a specific domain.