A MEMS inertial sensor and AMR magnetic sensor calibration method. - Wenming Li; Qingxiu Du; Peng Mi (ICICS, 2011)

Dynamic analysis of large datasets with animated and correlated views: VAST 2012 Mini Challenge # award: Honorable mention for good use of coordinated displays. - Yong Cao 003; Reese Moore; Peng Mi; Alex Endert; Chris North 001; Randy C. Marchany (IEEE VAST, 2012)

Load Balanced Parallel GPU Out-of-Core for Continuous LOD Model Visualization. - Chao Peng 003; Peng Mi; Yong Cao 003 (SC Companion, 2012)

Making sense of daily life data: From commonalities to anomalies: VAST 2014 Mini Challenge #2. - Ji Wang 003; Peng Mi; Chris North 001 (IEEE VAST, 2014)

AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets. - Peng Mi; Maoyuan Sun; Moeti Masiane; Yong Cao 003; Chris North 001 (Informatics, 2016)

Interactive Graph Layout of a Million Nodes. - Peng Mi; Maoyuan Sun; Moeti Masiane; Yong Cao 003; Chris North 001 (Informatics, 2016)

BiSet: Semantic Edge Bundling with Biclusters for Sensemaking. - Maoyuan Sun; Peng Mi; Chris North 001; Naren Ramakrishnan (IEEE Trans. Vis. Comput. Graph., 2016)

Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models. - Hao Wu 041; Maoyuan Sun; Peng Mi; Nikolaj Tatti; Chris North 001; Naren Ramakrishnan (ACM Trans. Knowl. Discov. Data, 2018)

Active Teacher for Semi-Supervised Object Detection. - Peng Mi; Jianghang Lin; Yiyi Zhou; Yunhang Shen; Gen Luo; Xiaoshuai Sun; Liujuan Cao; Rongrong Fu; Qiang Xu; Rongrong Ji (CVPR, 2022)

Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. - Qihuang Zhong; Liang Ding 006; Li Shen 008; Peng Mi; Juhua Liu; Bo Du 001; Dacheng Tao (EMNLP (Findings), 2022)

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. - Peng Mi; Li Shen 008; Tianhe Ren; Yiyi Zhou; Xiaoshuai Sun; Rongrong Ji; Dacheng Tao (NeurIPS, 2022)

What Hinders Perceptual Quality of PSNR-oriented Methods? - Tianshuo Xu; Peng Mi; Xiawu Zheng; Lijiang Li; Fei Chao 001; Guannan Jiang; Wei Zhang 217; Yiyi Zhou; Rongrong Ji (CoRR, 2022)

Why can neural language models solve next-word prediction? A mathematical perspective. - Vinoth Nandakumar; Peng Mi; Tongliang Liu (CoRR, 2023)

Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer. - Peng Mi; Li Shen 008; Tianhe Ren; Yiyi Zhou; Tianshuo Xu; Xiaoshuai Sun; Tongliang Liu; Rongrong Ji; Dacheng Tao (CoRR, 2023)

Neural Auto-designer for Enhanced Quantum Kernels. - Cong Lei; Yuxuan Du; Peng Mi; Jun Yu 001; Tongliang Liu (ICLR, 2024)

Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon. - Tianshuo Xu; Peng Mi; Ruilin Wang; Yingcong Chen (CoRR, 2024)

Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization. - Tianshuo Xu; Lijiang Li; Peng Mi; Xiawu Zheng; Fei Chao 001; Rongrong Ji; Yonghong Tian 001; Qiang Shen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

State space models can express n-gram languages. - Vinoth Nandakumar; Qiang Qu; Peng Mi; Tongliang Liu (Trans. Mach. Learn. Res., 2025)