Identifying Incorrect Classifications with Balanced Uncertainty. - Bolian Li; Zige Zheng; Changqing Zhang (CoRR, 2021)

Trustworthy Long-Tailed Classification. - Bolian Li; Zongbo Han; Haining Li; Huazhu Fu; Changqing Zhang (CVPR, 2022)

Graph Communal Contrastive Learning. - Bolian Li; Baoyu Jing; Hanghang Tong (WWW, 2022)

Long-tailed Classification from a Bayesian-decision-theory Perspective. - Bolian Li; Ruqi Zhang (CoRR, 2023)

Entropy-MCMC: Sampling from Flat Basins with Ease. - Bolian Li; Ruqi Zhang (ICLR, 2024)

Cascade Reward Sampling for Efficient Decoding-Time Alignment. - Bolian Li; Yifan Wang; Ananth Grama; Ruqi Zhang (CoRR, 2024)

ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time. - Yi Ding; Bolian Li; Ruqi Zhang (ICLR, 2025)

Making Reliable and Flexible Decisions in Long-tailed Classification. - Bolian Li; Ruqi Zhang (Trans. Mach. Learn. Res., 2025)

Bayesian Computation in Deep Learning. - Wenlong Chen; Bolian Li; Ruqi Zhang; Yingzhen Li (CoRR, 2025)

More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment. - Yifan Wang; Runjin Chen; Bolian Li; David Cho; Yihe Deng; Ruqi Zhang; Tianlong Chen 001; Zhangyang Wang; Ananth Grama; Junyuan Hong (CoRR, 2025)

Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓp-Smooth Nonconvex Optimization. - Xinyu Luo; Cedar Site Bai; Bolian Li; Petros Drineas; Ruqi Zhang; Brian Bullins (CoRR, 2025)

Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner. - Bolian Li; Yanran Wu; Xinyu Luo; Ruqi Zhang (CoRR, 2025)