I am a first-year CS Phd student at University of Southern California (USC), in the Viterbi School and School of Advanced Computing (SAC), where I am fortunately advised by Prof. Willie Neiswanger. I obtained my CS Master's and Bachelor's degree at ShanghaiTech University.
Now, my research interests include
- 🦙 GenAI, e.g., LLM reasoning, post-training, and test-time compute
- 🎰 Decision-making, e.g., RL and Bandits
- 🔬 AI-for-Science, e.g., LLM for biology and health
Contact
⇒ Contact email: upup.ashton.wang at gmail dot com
⇒ X: https://x.com/UpupWang
⇒ Bluesky: https://bsky.app/profile/shangshang-wang.bsky.social
⇒ LinkedIn: https://www.linkedin.com/in/upup-ashton-wang/
⇒ Github: https://github.com/shangshang-wang
Selected Publications
- Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, and Willie Neiswanger. Tina: Tiny Reasoning Models via LoRA, 2025. [PDF][Web][Github][HF][Bluesky][X][LinkedIn]
- Ollie Liu, Sami Jaghouar, Johannes Hagemann, Shangshang Wang, Jason Wiemels, Jeff Kaufman and Willie Neiswanger. METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring, 2025. [PDF] [Web] [Github] [HF] [Bluesky] [X]
- Shangshang Wang, Ziyu Shao, and John C.S. Lui. Next-Word Prediction: A Perspective of Energy-Aware Distributed Inference, IEEE TMC, 2023. [PDF]
- Shangshang Wang, Ziyu Shao and Yang Yang. Constrained Dueling Bandits for Edge Intelligence, IEEE TNSE, 2024. [PDF]
- Shangshang Wang, Simeng Bian, Xin Liu, and Ziyu Shao. Neural Constrained Combinatorial Bandits, IEEE INFOCOM, 2023. [PDF] [Slides]
Blogs