Tingxiong Xiao

19 papers A* 9Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series. AAAI Xinxin Song, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo
2025	A*	`conf`	A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging. AAAI Ruoran Li, Runzhao Yang, Wenxin Xiang, Yuxiao Cheng, Tingxiong Xiao, Lu Yang, Jinli Suo
2025	J	`jnl`	A Unified Data-Driven Framework for Efficient Scientific Discovery. CoRR Tingxiong Xiao, Xinxin Song, Ziqian Wang, Boyang Zhang, Jinli Suo
2025	A*	`conf`	DVI: A Derivative-based Vision Network for INR. ICML Runzhao Yang, Xiaolong Wu, Zhihong Zhang, Fabian Zhang, Tingxiong Xiao, Zongren Li, Kunlun He, Jinli Suo
2025	A*	`conf`	FIND: A Framework for Discovering Formulas in Data. AAAI Tingxiong Xiao, Yuxiao Cheng, Jinli Suo
2024	A*	`conf`	CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series. AAAI Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
2024	A*	`conf`	CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. ICLR Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He
2024	J	`jnl`	HOPE: High-Order Polynomial Expansion of Black-Box Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Tingxiong Xiao, Weihang Zhang, Yuxiao Cheng, Jinli Suo
2024	A*	`conf`	SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations. AAAI Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo
2023	J	`jnl`	A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging. CoRR Ruoran Li, Runzhao Yang, Wenxin Xiang, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo
2023	J	`jnl`	CUTS+: High-dimensional Causal Discovery from Irregular Time-series. CoRR Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
2023	A*	`conf`	CUTS: Neural Causal Discovery from Irregular Time-Series Data. ICLR Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
2023	J	`jnl`	CUTS: Neural Causal Discovery from Irregular Time-Series Data. CoRR Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai
2023	J	`jnl`	CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. CoRR Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He
2023	J	`jnl`	HOPE: High-order Polynomial Expansion of Black-box Neural Networks. CoRR Tingxiong Xiao, Weihang Zhang, Yuxiao Cheng, Jinli Suo
2023	A*	`conf`	SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data. AAAI Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai
2023	J	`jnl`	SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations. CoRR Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo, Qionghai Dai
2022	J	`jnl`	SCI: A spectrum concentrated implicit neural compression for biomedical data. CoRR Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai
2022	J	`jnl`	TINC: Tree-structured Implicit Neural Compression. CoRR Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Jinli Suo, Qionghai Dai