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1 | 1 | { |
2 | 2 | "basics": { |
3 | 3 | "name": "Keyu He", |
4 | | - "label": "Student, Undergraduate Researcher", |
5 | | - "image": "", |
6 | | - "email": "frankhe@usc.edu", |
| 4 | + "label": "MIIS Graduate Student, NLP Researcher", |
| 5 | + "image": "keyu.jpg", |
| 6 | + "email": "keyuhe@cmu.edu", |
7 | 7 | "phone": "(213) 713-2973", |
8 | 8 | "url": "https://keyu-he.github.io/", |
9 | | - "summary": "Undergraduate double major in Computer Science and Applied & Computational Mathematics with a minor in Artificial Intelligence Applications. Passionate about explainable NLP systems, interpretable machine learning, and cross-disciplinary AI research.", |
| 9 | + "summary": "Master of Intelligent Information Systems (MIIS) student at Carnegie Mellon University. Previously earned B.S. from USC with double major in Computer Science and Applied & Computational Mathematics. Passionate about explainable NLP systems, building user trust in AI, and cross-disciplinary AI research.", |
10 | 10 | "location": { |
11 | | - "city": "Los Angeles", |
12 | | - "region": "California", |
| 11 | + "city": "Pittsburgh", |
| 12 | + "region": "Pennsylvania", |
13 | 13 | "countryCode": "US" |
14 | 14 | }, |
15 | 15 | "profiles": [] |
16 | 16 | }, |
17 | 17 | "education": [ |
| 18 | + { |
| 19 | + "institution": "Carnegie Mellon University", |
| 20 | + "location": "Pittsburgh, PA", |
| 21 | + "url": "https://www.cmu.edu/", |
| 22 | + "area": "Master of Intelligent Information Systems (MIIS)", |
| 23 | + "studyType": "Master's", |
| 24 | + "startDate": "2025-08-01", |
| 25 | + "endDate": "2027-05-01", |
| 26 | + "score": "", |
| 27 | + "summary": "Graduate program focusing on intelligent information systems, NLP research, and AI systems. Conducting research on explainable AI and socially intelligible AI." |
| 28 | + }, |
18 | 29 | { |
19 | 30 | "institution": "University of Southern California", |
20 | 31 | "location": "Los Angeles, CA", |
|
24 | 35 | "startDate": "2021-08-01", |
25 | 36 | "endDate": "2025-05-01", |
26 | 37 | "score": "GPA: 3.98/4.00", |
27 | | - "summary": "Minor in Artificial Intelligence Applications. Dean’s List every semester and member of Phi Kappa Phi Honor Society.", |
| 38 | + "summary": "Minor in Artificial Intelligence Applications. USC Dornsife Dean's List & USC Viterbi Dean's List (2021-2025). USC Center for Undergraduate Research in Viterbi Engineering (CURVE) fellow with $6,750 in research funding (Spring 2024 - Spring 2025). USC Academic Achievement Award covering $24,000 in tuition.", |
28 | 39 | "courses": [ |
29 | 40 | "Language Models in Natural Language Processing (A)", |
30 | 41 | "Applied Machine Learning for Natural Language Processing (A)", |
31 | | - "Introduction to Machine Learning (A)", |
32 | 42 | "Applications of Machine Learning (A)", |
33 | | - "Professional C++ (A)", |
34 | | - "Introduction to Artificial Intelligence (A)", |
35 | 43 | "Applied Neural Networks (A)", |
| 44 | + "Introduction to Artificial Intelligence (A)", |
36 | 45 | "Capstone: Design and Construction of Large Software Systems (A)", |
37 | 46 | "Software Engineering (A)", |
38 | | - "Video Game Programming (A)", |
39 | | - "Introduction to Data Analysis (A)", |
40 | | - "Introduction to Computer Systems (A)", |
41 | | - "Introduction to Embedded Systems (A)", |
42 | | - "Introduction to Operating Systems (A)", |
43 | | - "Introduction to Internetworking (A)", |
44 | | - "Data Structure and Object-Oriented Design (A)", |
45 | | - "Introduction to Algorithms and the Theory of Computing (A-)", |
46 | | - "Linear Algebra and Differential Equations (A)", |
47 | | - "Probability Theory (A)", |
48 | 47 | "Mathematical Statistics (A)", |
| 48 | + "Probability Theory (A)", |
| 49 | + "Linear Algebra and Differential Equations (A)", |
49 | 50 | "Numerical Methods (A)", |
50 | | - "Advanced Writing Communication for Engineers (A)" |
| 51 | + "Data Structure and Object-Oriented Design (A)", |
| 52 | + "Introduction to Algorithms and the Theory of Computing (A-)" |
51 | 53 | ] |
52 | 54 | } |
53 | 55 | ], |
54 | 56 | "publications": [ |
55 | 57 | { |
56 | 58 | "name": "ELI-Why: Evaluating the Pedagogical Utility of LLM Explanations", |
57 | 59 | "author": "Brihi Joshi*, <b>Keyu He*</b>, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren", |
58 | | - "publisher": "ACL Findings", |
| 60 | + "publisher": "Findings of ACL 2025", |
59 | 61 | "releaseDate": "2025-02", |
60 | 62 | "summary": "Evaluate the pedagogical utility of LLMs in tailoring explanations to users with different educational backgrounds.", |
61 | 63 | "url": "../assets/pdf/ELI_Why_Evaluating_the_Pe.pdf" |
|
81 | 83 | "publisher": "Technical Report", |
82 | 84 | "releaseDate": "2023-12", |
83 | 85 | "url": "../assets/pdf/Enhancing-Debugging.pdf", |
84 | | - "summary": "" |
| 86 | + "summary": "Study on improving LLM debugging through prompt engineering techniques. Evaluated few-shot learning and chain-of-thought approaches on GPT-3.5, revealing limitations in current debugging capabilities." |
85 | 87 | } |
86 | 88 | ], |
87 | 89 | "projects": [ |
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