Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. - Yikai Zhang 003; Hui Qu; Chao Chen 012; Dimitris N. Metaxas (IJCAI, 2019)

Local Regularizer Improves Generalization. - Yikai Zhang 003; Hui Qu; Dimitris N. Metaxas; Chao Chen 012 (AAAI, 2020)

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. - Qi Chang; Hui Qu; Yikai Zhang 003; Mert R. Sabuncu; Chao Chen 012; Tong Zhang 001; Dimitris N. Metaxas (CVPR, 2020)

Learn Distributed GAN with Temporary Discriminators. - Hui Qu; Yikai Zhang 003; Qi Chang; Zhennan Yan; Chao Chen 012; Dimitris N. Metaxas (ECCV (27), 2020)

Robust vertex enumeration for convex hulls in high dimensions. - Pranjal Awasthi; Bahman Kalantari; Yikai Zhang 003 (Ann. Oper. Res., 2020)

A Geometric Algorithm for Solving Linear Systems. - Bahman Kalantari; Chun Lau; Yikai Zhang 003 (CoRR, 2020)

Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. - Qi Chang; Zhennan Yan; Lohendran Baskaran; Hui Qu; Yikai Zhang 003; Tong Zhang 001; Shaoting Zhang 001; Dimitris N. Metaxas (CoRR, 2020)

Learning with Feature-Dependent Label Noise: A Progressive Approach. - Yikai Zhang 003; Songzhu Zheng; Pengxiang Wu; Mayank Goswami 001; Chao Chen 012 (ICLR, 2021)

Topological Detection of Trojaned Neural Networks. - Songzhu Zheng; Yikai Zhang 003; Hubert Wagner; Mayank Goswami 001; Chao Chen 012 (NeurIPS, 2021)

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. - Yikai Zhang 003; Hui Qu; Qi Chang; Huidong Liu; Dimitris N. Metaxas; Chao Chen 012 (CoRR, 2021)

A Manifold View of Adversarial Risk. - Wenjia Zhang; Yikai Zhang 003; Xiaoling Hu 002; Mayank Goswami 001; Chao Chen 012; Dimitris N. Metaxas (AISTATS, 2022)

Stability of SGD: Tightness analysis and improved bounds. - Yikai Zhang 003; Wenjia Zhang; Sammy Bald; Vamsi Pingali; Chao Chen 012; Mayank Goswami 001 (UAI, 2022)

A Manifold View of Adversarial Risk. - Wenjia Zhang; Yikai Zhang 003; Xiaolin Hu 002; Mayank Goswami 001; Chao Chen 012; Dimitris N. Metaxas (CoRR, 2022)

On the Convergence of Optimizing Persistent-Homology-Based Losses. - Yikai Zhang 003; Jiachen Yao; Yusu Wang 001; Chao Chen 012 (CoRR, 2022)

Algorithm 1024: Spherical Triangle Algorithm: A Fast Oracle for Convex Hull Membership Queries. - Bahman Kalantari; Yikai Zhang 003 (ACM Trans. Math. Softw., 2022)

Risk Bounds on Aleatoric Uncertainty Recovery. - Yikai Zhang 003; Jiahe Lin; Fengpei Li; Yeshaya Adler; Kashif Rasul; Anderson Schneider; Yuriy Nevmyvaka (AISTATS, 2023)

Learning to Segment from Noisy Annotations: A Spatial Correction Approach. - Jiachen Yao; Yikai Zhang 003; Songzhu Zheng; Mayank Goswami 001; Prateek Prasanna; Chao Chen 012 (ICLR, 2023)

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. - Yu Chen; Wei Deng 002; Shikai Fang; Fengpei Li; Nicole Tianjiao Yang; Yikai Zhang 003; Kashif Rasul; Shandian Zhe; Anderson Schneider; Yuriy Nevmyvaka (ICML, 2023)

Topology-Aware Uncertainty for Image Segmentation. - Saumya Gupta; Yikai Zhang 003; Xiaoling Hu 002; Prateek Prasanna; Chao Chen 012 (NeurIPS, 2023)

Manifold-driven decomposition for adversarial robustness. - Wenjia Zhang; Yikai Zhang 003; Xiaoling Hu 002; Yi Yao; Mayank Goswami 001; Chao Chen 012; Dimitris N. Metaxas (Frontiers Comput. Sci., 2023)

Dissecting Human and LLM Preferences. - Junlong Li; Fan Zhou; Shichao Sun; Yikai Zhang 003; Hai Zhao 001; Pengfei Liu 003 (ACL (1), 2024)

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. - Zhen Huang; Zengzhi Wang; Shijie Xia; Xuefeng Li 003; Haoyang Zou; Ruijie Xu; Run-Ze Fan; Lyumanshan Ye; Ethan Chern; Yixin Ye; Yikai Zhang 003; Yuqing Yang 004; et al. (NeurIPS, 2024)

Extending LLMs' Context Window with 100 Samples. - Yikai Zhang 003; Junlong Li; Pengfei Liu 003 (CoRR, 2024)

Learning to Abstain From Uninformative Data. - Yikai Zhang 003; Songzhu Zheng; Mina Dalirrooyfard; Pengxiang Wu; Anderson Schneider; Anant Raj; Yuriy Nevmyvaka; Chao Chen 012 (Trans. Mach. Learn. Res., 2024)

PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots. - Lingjie Yi; Tao Sun 009; Yikai Zhang 003; Songzhu Zheng; Weimin Lyu; Haibin Ling; Chao Chen 012 (WACV, 2025)

Reweighting Improves Conditional Risk Bounds. - Yikai Zhang 003; Jiahe Lin; Fengpei Li; Songzhu Zheng; Anant Raj; Anderson Schneider; Yuriy Nevmyvaka (Trans. Mach. Learn. Res., 2025)

Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees. - Jiahe Lin; Yikai Zhang 003; George Michailidis (Trans. Mach. Learn. Res., 2025)