Yikai Zhang - RankMe

42 papers A* 9A 5Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees. CoRR Jiahe Lin, Yikai Zhang, George Michailidis
2025	J	`jnl`	Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees. Trans. Mach. Learn. Res. Jiahe Lin, Yikai Zhang, George Michailidis
2025	A	`conf`	PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots. WACV Lingjie Yi, Tao Sun, Yikai Zhang, Songzhu Zheng, Weimin Lyu, Haibin Ling, Chao Chen
2025	J	`jnl`	Reweighting Improves Conditional Risk Bounds. CoRR Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka
2025	J	`jnl`	Reweighting Improves Conditional Risk Bounds. Trans. Mach. Learn. Res. Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka
2024	—	`conf`	Dissecting Human and LLM Preferences. ACL (1) Junlong Li, Fan Zhou, Shichao Sun, Yikai Zhang, Hai Zhao, Pengfei Liu
2024	J	`jnl`	Dissecting Human and LLM Preferences. CoRR Junlong Li, Fan Zhou, Shichao Sun, Yikai Zhang, Hai Zhao, Pengfei Liu
2024	J	`jnl`	Extending LLMs' Context Window with 100 Samples. CoRR Yikai Zhang, Junlong Li, Pengfei Liu
2024	J	`jnl`	Learning to Abstain From Uninformative Data. Trans. Mach. Learn. Res. Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen
2024	A*	`conf`	OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. NeurIPS Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu
2024	J	`jnl`	OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI. CoRR Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu
2023	J	`jnl`	Learning to Abstain From Uninformative Data. CoRR Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen
2023	A*	`conf`	Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
2023	J	`jnl`	Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
2023	J	`jnl`	Manifold-driven decomposition for adversarial robustness. Frontiers Comput. Sci. Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Yi Yao, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
2023	A*	`conf`	Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. ICML Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
2023	J	`jnl`	Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation. CoRR Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
2023	A	`conf`	Risk Bounds on Aleatoric Uncertainty Recovery. AISTATS Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka
2023	A*	`conf`	Topology-Aware Uncertainty for Image Segmentation. NeurIPS Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
2023	J	`jnl`	Topology-Aware Uncertainty for Image Segmentation. CoRR Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
2022	A	`conf`	A Manifold View of Adversarial Risk. AISTATS Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
2022	J	`jnl`	A Manifold View of Adversarial Risk. CoRR Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
2022	J	`jnl`	Algorithm 1024: Spherical Triangle Algorithm: A Fast Oracle for Convex Hull Membership Queries. ACM Trans. Math. Softw. Bahman Kalantari, Yikai Zhang
2022	J	`jnl`	On the Convergence of Optimizing Persistent-Homology-Based Losses. CoRR Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen
2022	A	`conf`	Stability of SGD: Tightness analysis and improved bounds. UAI Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami
2021	A*	`conf`	Learning with Feature-Dependent Label Noise: A Progressive Approach. ICLR Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
2021	J	`jnl`	Learning with Feature-Dependent Label Noise: A Progressive Approach. CoRR Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
2021	J	`jnl`	Stability of SGD: Tightness Analysis and Improved Bounds. CoRR Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami
2021	A*	`conf`	Topological Detection of Trojaned Neural Networks. NeurIPS Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen
2021	J	`jnl`	Topological Detection of Trojaned Neural Networks. CoRR Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen
2021	J	`jnl`	Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. CoRR Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen
2020	J	`jnl`	A Geometric Algorithm for Solving Linear Systems. CoRR Bahman Kalantari, Chun Lau, Yikai Zhang
2020	—	`conf`	Learn Distributed GAN with Temporary Discriminators. ECCV (27) Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas
2020	J	`jnl`	Learn distributed GAN with Temporary Discriminators. CoRR Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas
2020	A*	`conf`	Local Regularizer Improves Generalization. AAAI Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen
2020	J	`jnl`	Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. CoRR Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas
2020	J	`jnl`	Robust vertex enumeration for convex hulls in high dimensions. Ann. Oper. Res. Pranjal Awasthi, Bahman Kalantari, Yikai Zhang
2020	A*	`conf`	Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CVPR Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
2020	J	`jnl`	Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CoRR Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
2019	A*	`conf`	Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. IJCAI Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas
2018	A	`conf`	Robust Vertex Enumeration for Convex Hulls in High Dimensions. AISTATS Pranjal Awasthi, Bahman Kalantari, Yikai Zhang
2018	J	`jnl`	Robust Vertex Enumeration for Convex Hulls in High Dimensions. CoRR Pranjal Awasthi, Bahman Kalantari, Yikai Zhang