About Me
Hello! I’m a passionate undergrad researcher at the intersection of machine learning, mathematics, and real-world applications.
I am currently advised by Professor Jun Zhu at Tsinghua University. I am interested in machine learning, with a broad focus on optimization, AI for Science and human-AI interaction.
I am also exploring the integration of human knowledge with DL and RL (in the context of LLMs) to build more intelligent and robust agents.
During my summer intership at Stanford, I am fortunate to work with PhD candidate Jackie Yang under the guidance of Professor James Landay and Professor Monica Lam.
We developed the first socially appropriate whispered voice input method using earbuds.
The cross-lingual learning ability and hidden knowledge distribution in large models were particularly fascinating to me.
I’ll be starting my Ph.D. in Computing and Mathematical Sciences at Caltech from Fall 2024!
Research Interests
- Machine Learning: I aim to leverage AI to unravel the complexities of the real world and discover novel scientific principles.
Recognizing the limitations of purely data-driven approaches, I plan to foster a bi-directional flow of representation and knowledge to improve capability and robustness in scientific machine learning and machine learning as a whole.
- Human-AI Interaction: I aim to contribute to the field of technical human-computer interaction by developing novel solutions that address human challenges.
My focus is on bridging the gap between technical innovation and real-world application, facilitating interaction through AI and with AI in an advanced and socially responsible manner.
News
- [Sept. 2024] Our paper, “PINNacle: A Comprehensive Benchmark of PINNs for Solving PDEs,” has been accepted to NeurIPS 2024 Datasets and Benchmarks Track!
- [Jul. 2024] I graduated with honors from Tsinghua University, recognized as an Outstanding Graduate by both the Beijing Ministry of Education and Zhili College.
- [Jan. 2024] I’ll embark on an educational journey to Australia and New Zealand, sponsored by Tsinghua University’s Spark Program. Feel free to reach out!
- [Jul. 2023] I’ll travel to Hawaii to attend ICML 2023!
- [Jun. 2023] I’m heading to California for a fully-funded summer research program at Stanford!
- [Apr. 2023] Our paper on PINN optimization has been accepted to ICML 2023!
Publications
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NeurIPS
Zhongkai Hao*, Jiachen Yao*, Chang Su*, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, and Jun Zhu.
Conference on Neural Information Processing Systems (NeurIPS), 2024.
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Jackie Yang*, Jiachen Yao*, Yingtian Shi, Monica Lam, and James Landay.
In submission, 2024.
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Songming Liu, Chang Su*, Jiachen Yao*, Zhongkai Hao, Hang Su, Youjia Wu, and Jun Zhu.
In submission, 2024.
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ICML
Jiachen Yao*, Chang Su*, Zhongkai Hao, Songming Liu, Hang Su, and Jun Zhu.
International Conference on Machine Learning (ICML), 2023.
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CHI
Yue Qin, Chun Yu, Wentao Yao, Jiachen Yao, Chen Liang, Yueting Weng, Yukang Yan,and Yuanchun Shi.
Conference on Human Factors in Computing Systems (CHI), 2023.
* denotes equal contribution
Honors and Awards
Undergrad Honors
Personal Interests
Hobbies
Technical Skills
- Python, C/C++, JavaScript/TypeScript, MATLAB
- PyTorch, Huggingface, React, Vue
- Linux, Git, Docker
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