Liyan Xie - RankMe

52 papers A* 5A 3B 3Misc 3Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alignment of Diffusion Model and Flow Matching for Text-to-Image Generation. CoRR Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
2026	J	`jnl`	Corrected Samplers for Discrete Flow Models. CoRR Zhengyan Wan, Yidong Ouyang, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
2026	J	`jnl`	Sequential Change Detection With Differential Privacy. IEEE Trans. Inf. Theory Liyan Xie, Ruizhi Zhang
2026	J	`jnl`	Training-Free Self-Correction for Multimodal Masked Diffusion Models. CoRR Yidong Ouyang, Panwen Hu, Zhengyan Wan, Zhe Wang, Liyan Xie, Dmitriy Bespalov, Ying Nian Wu, Guang Cheng, Hongyuan Zha, Qiang Sun
2025	J	`jnl`	Detecting Post-generation Edits to Watermarked LLM Outputs via Combinatorial Watermarking. CoRR Liyan Xie, Muhammad Siddeek, Mohamed Seif, Andrea J. Goldsmith, Mengdi Wang
2025	J	`jnl`	Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits. IEEE Trans. Inf. Forensics Secur. Mohamed Seif, Liyan Xie, Andrea J. Goldsmith, H. Vincent Poor
2025	J	`jnl`	Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching. CoRR Zhengyan Wan, Yidong Ouyang, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
2025	J	`jnl`	Error Analysis of Discrete Flow with Generator Matching. CoRR Zhengyan Wan, Yidong Ouyang, Qiang Yao, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng
2025	J	`jnl`	Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge. IEEE J. Sel. Top. Signal Process. Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li
2025	A	`conf`	Recurrent Neural Goodness-of-Fit Test for Time Series. AISTATS Aoran Zhang, Wenbin Zhou, Liyan Xie, Shixiang Zhu
2025	J	`jnl`	Sequential Change Point Detection via Denoising Score Matching. CoRR Wenbin Zhou, Liyan Xie, Zhigang Peng, Shixiang Zhu
2024	A	`conf`	Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets. AISTATS Liyan Xie, Yuchen Liang, Venugopal V. Veeravalli
2024	J	`jnl`	Private Online Community Detection for Censored Block Models. CoRR Mohamed Seif, Liyan Xie, Andrea J. Goldsmith, H. Vincent Poor
2024	J	`jnl`	Recurrent Neural Goodness-of-Fit Test for Time Series. CoRR Aoran Zhang, Wenbin Zhou, Liyan Xie, Shixiang Zhu
2024	Misc	`conf`	Sequential Wasserstein Uncertainty Sets for Minimax Robust Online Change Detection. ICASSP Yiran Yang, Liyan Xie
2024	A*	`conf`	Transfer Learning for Diffusion Models. NeurIPS Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
2024	J	`jnl`	Transfer Learning for Diffusion Models. CoRR Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
2023	A*	`conf`	Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process. ICML Yidong Ouyang, Liyan Xie, Guang Cheng
2023	J	`jnl`	MissDiff: Training Diffusion Models on Tabular Data with Missing Values. CoRR Yidong Ouyang, Liyan Xie, Chongxuan Li, Guang Cheng
2023	J	`jnl`	Neural Differential Recurrent Neural Network with Adaptive Time Steps. CoRR Yixuan Tan, Liyan Xie, Xiuyuan Cheng
2023	J	`jnl`	PERCEPT: A New Online Change-Point Detection Method using Topological Data Analysis. Technometrics Xiaojun Zheng, Simon Mak, Liyan Xie, Yao Xie
2023	J	`jnl`	Sequential Change-Point Detection for Mutually Exciting Point Processes. Technometrics Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
2023	J	`jnl`	Spectral CUSUM for Online Network Structure Change Detection. IEEE Trans. Inf. Theory Minghe Zhang, Liyan Xie, Yao Xie
2023	J	`jnl`	Window-Limited CUSUM for Sequential Change Detection. IEEE Trans. Inf. Theory Liyan Xie, George V. Moustakides, Yao Xie
2022	A*	`conf`	Distributionally robust weighted k-nearest neighbors. NeurIPS Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie
2022	J	`jnl`	Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. IEEE J. Sel. Top. Signal Process. Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, Yao Xie
2022	J	`jnl`	Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge. CoRR Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li
2022	J	`jnl`	Improving Adversarial Robustness by Contrastive Guided Diffusion Process. CoRR Yidong Ouyang, Liyan Xie, Guang Cheng
2022	B	`conf`	Minimax Robust Quickest Change Detection using Wasserstein Ambiguity Sets. ISIT Liyan Xie
2021	J	`jnl`	Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization. CoRR Jingge Wang, Yang Li, Liyan Xie, Yao Xie
2021	J	`jnl`	Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. CoRR Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie
2021	J	`jnl`	High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S. ACM Trans. Manag. Inf. Syst. Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie
2021	B	`conf`	Optimality of Graph Scanning Statistic for Online Community Detection. ISIT Liyan Xie, Yao Xie
2021	J	`jnl`	Sequential (Quickest) Change Detection: Classical Results and New Directions. IEEE J. Sel. Areas Inf. Theory Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli
2021	J	`jnl`	Sequential Change Detection by Optimal Weighted ℓ₂ Divergence. IEEE J. Sel. Areas Inf. Theory Liyan Xie, Yao Xie
2021	J	`jnl`	Sequential change-point detection for mutually exciting point processes over networks. CoRR Haoyun Wang, Liyan Xie, Yao Xie, Alex Cuozzo, Simon Mak
2020	J	`jnl`	Convex Parameter Recovery for Interacting Marked Processes. IEEE J. Sel. Areas Inf. Theory Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie
2020	J	`jnl`	Convex Recovery of Marked Spatio-Temporal Point Processes. CoRR Anatoli B. Juditsky, Arkadi Nemirovski, Liyan Xie, Yao Xie
2020	J	`jnl`	Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. CoRR Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie
2020	Misc	`conf`	Online Community Detection by Spectral Cusum. ICASSP Minghe Zhang, Liyan Xie, Yao Xie
2020	A*	`conf`	Uncertainty Quantification for Inferring Hawkes Networks. NeurIPS Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
2020	J	`jnl`	Uncertainty Quantification for Inferring Hawkes Networks. CoRR Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie
2019	B	`conf`	Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors. ISIT Liyan Xie, Yao Xie, George V. Moustakides
2019	J	`jnl`	Online Community Detection by Spectral CUSUM. CoRR Minghe Zhang, Liyan Xie, Yao Xie
2018	Misc	`conf`	Communication Efficient Signal Detection for Distributed Ambient Noise Imaging. ACSSC Liyan Xie, Yao Xie, Sin-Mei Wu, Fan-Chi Lin, Wen-Zhan Song
2018	—	`conf`	First-Order Optimal Sequential Subspace Change-Point Detection. GlobalSIP Liyan Xie, George V. Moustakides, Yao Xie
2018	A	`conf`	Nearly second-order optimality of online joint detection and estimation via one-sample update schemes. AISTATS Yang Cao, Liyan Xie, Yao Xie, Huan Xu
2018	A*	`conf`	Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. NeurIPS Rui Gao, Liyan Xie, Yao Xie, Huan Xu
2018	J	`jnl`	Robust Hypothesis Testing Using Wasserstein Uncertainty Sets. CoRR Rui Gao, Liyan Xie, Yao Xie, Huan Xu
2018	J	`jnl`	Sequential Change-Point Detection via Online Convex Optimization. Entropy Yang Cao, Liyan Xie, Yao Xie, Huan Xu
2017	—	`conf`	Sequential detection of low-rank changes using extreme eigenvalues. CAMSAP Liyan Xie, Yao Xie
2016	—	`conf`	An object tracking method using extreme learning machine with online learning. SSCI Yuanlong Yu, Liyan Xie, Zhiyong Huang