High-Dimensional Bayesian Optimization via Tree-Structured Additive Models. - Eric Han; Ishank Arora; Jonathan Scarlett (AAAI, 2021)

Adversarial Attacks on Gaussian Process Bandits. - Eric Han; Jonathan Scarlett (ICML, 2022)

8-bit Transformer Inference and Fine-tuning for Edge Accelerators. - Jeffrey Yu; Kartik Prabhu; Yonatan Urman; Robert M. Radway; Eric Han; Priyanka Raina (ASPLOS (3), 2024)

The Perfect Blend: Redefining RLHF with Mixture of Judges. - Tengyu Xu; Eryk Helenowski; Karthik Abinav Sankararaman; Di Jin; Kaiyan Peng; Eric Han; Shaoliang Nie; Chen Zhu; Hejia Zhang; Wenxuan Zhou; Zhouhao Zeng; Yun He; et al. (CoRR, 2024)

dpvis: A Visual and Interactive Learning Tool for Dynamic Programming. - David H. Lee; Aditya Prasad; Ramiro Deo-Campo Vuong; Tianyu Wang; Eric Han; David Kempe 001 (SIGCSE (1), 2025)

Reinforcement Learning from User Feedback. - Eric Han; Jun Chen; Karthik Abinav Sankararaman; Xiaoliang Peng; Tengyu Xu; Eryk Helenowski; Kaiyan Peng; Mrinal Kumar 005; Sinong Wang; Han Fang; Arya Talebzadeh (CoRR, 2025)