Juncai He

12 papers A* 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design. CoRR Ziyi Yang, Zitong Tian, Yinjun Jia, Tianyi Zhang, Jiqing Zheng, Hao Wang, Yubu Su, Juncai He, Lei Liu, Yanyan Lan
2026	J	`jnl`	Divergence-free Linearized Neural Networks: Integral Representation and Optimal Approximation Rates. CoRR Juncai He, Xinliang Liu, Zitong Tian
2025	J	`jnl`	Advanced long-term earth system forecasting by learning the small-scale nature. CoRR Hao Wu, Yuan Gao, Ruiqi Shu, Kun Wang, Ruijian Gou, Chuhan Wu, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang
2025	J	`jnl`	Deep Neural Networks with General Activations: Super-Convergence in Sobolev Norms. CoRR Yahong Yang, Juncai He
2025	A*	`conf`	Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection. ICLR Guangsheng Bao, Yanbin Zhao, Juncai He, Yue Zhang
2025	J	`jnl`	Self-Composing Neural Operators with Depth and Accuracy Scaling via Adaptive Train-and-Unroll Approach. CoRR Juncai He, Xinliang Liu, Jinchao Xu
2024	J	`jnl`	Data-induced multiscale losses and efficient multirate gradient descent schemes. CoRR Juncai He, Liangchen Liu, Yen-Hsi Richard Tsai
2024	J	`jnl`	Glimpse: Enabling White-Box Methods to Use Proprietary Models for Zero-Shot LLM-Generated Text Detection. CoRR Guangsheng Bao, Yanbin Zhao, Juncai He, Yue Zhang
2023	—	`conf`	Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. TAG-ML Liangchen Liu, Juncai He, Yen-Hsi Tsai
2023	J	`jnl`	Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. CoRR Liangchen Liu, Juncai He, Richard Tsai
2023	J	`jnl`	On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation with Kolmogorov Superposition Theorem. CoRR Juncai He
2022	J	`jnl`	Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space. CoRR Juncai He, Richard Tsai, Rachel A. Ward