Ruoxuan Xiong - RankMe

42 papers A* 12C 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Inference with Complex Treatments: A Survey. ACM Comput. Surv. Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Baohong Li, Keting Yin, Ruoxuan Xiong, Fei Wu, Kun Kuang
2026	—	`conf`	Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization. KDD (1) Yi He, Anpeng Wu, Ruoxuan Xiong, Yingrong Wang, Kun Kuang
2026	J	`jnl`	Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models. CoRR Hongyu Chen, David Simchi-Levi, Ruoxuan Xiong
2025	J	`jnl`	Can We Validate Counterfactual Estimations in the Presence of General Network Interference? CoRR Sadegh Shirani, Yuwei Luo, William Overman, Ruoxuan Xiong, Mohsen Bayati
2025	A*	`conf`	Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. ICLR Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang
2025	A*	`conf`	Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness. EMNLP Zihan Liang, Ziwen Pan, Ruoxuan Xiong
2025	J	`jnl`	Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness. CoRR Zihan Liang, Ziwen Pan, Ruoxuan Xiong
2025	A*	`conf`	Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments. ICML Baohong Li, Yingrong Wang, Anpeng Wu, Ming Ma, Ruoxuan Xiong, Kun Kuang
2025	J	`jnl`	Instrumental Variables in Causal Inference and Machine Learning: A Survey. ACM Comput. Surv. Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu
2025	J	`jnl`	Learning double balancing representation for heterogeneous dose-response curve estimation. Neural Networks Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Fei Wu, Kun Kuang
2025	J	`jnl`	Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. IEEE Trans. Knowl. Data Eng. Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu
2025	A*	`conf`	Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation. ICML Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang
2025	J	`jnl`	Sequential Treatment Effect Estimation with Unmeasured Confounders. CoRR Yingrong Wang, Anpeng Wu, Baohong Li, Ziyang Xiao, Ruoxuan Xiong, Qing Han, Kun Kuang
2024	J	`jnl`	Causal Inference with Complex Treatments: A Survey. CoRR Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang
2024	A*	`conf`	Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024	J	`jnl`	Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024	J	`jnl`	Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs. CoRR Ruoxuan Xiong, Alex Chin, Sean J. Taylor
2024	J	`jnl`	Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression. CoRR Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Xiangwei Chen, Zexu Sun, Fei Wu, Kun Zhang
2024	A*	`conf`	Higher-Order Causal Message Passing for Experimentation with Complex Interference. NeurIPS Mohsen Bayati, Yuwei Luo, William Overman, Mohamad Sadegh Shirani Faradonbeh, Ruoxuan Xiong
2024	J	`jnl`	Higher-Order Causal Message Passing for Experimentation with Complex Interference. CoRR Mohsen Bayati, Yuwei Luo, William Overman, Sadegh Shirani, Ruoxuan Xiong
2024	J	`jnl`	Learning Individual Treatment Effects under Heterogeneous Interference in Networks. ACM Trans. Knowl. Discov. Data Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang
2024	A*	`conf`	Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias. ICML Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang
2024	J	`jnl`	Optimal Experimental Design for Staggered Rollouts. Manag. Sci. Ruoxuan Xiong, Susan Athey, Mohsen Bayati, Guido Imbens
2024	J	`jnl`	Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. CoRR Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang
2024	A*	`conf`	Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias. ICML Baohong Li, Anpeng Wu, Ruoxuan Xiong, Kun Kuang
2023	—	`conf`	Bias-Variance Tradeoffs for Designing Simultaneous Temporal Experiments. CDPD Ruoxuan Xiong, Alex Chin, Sean J. Taylor
2023	J	`jnl`	Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
2023	A*	`conf`	Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2023	A*	`conf`	Stable Estimation of Heterogeneous Treatment Effects. ICML Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
2023	J	`jnl`	Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
2022	J	`jnl`	Confounder Balancing for Instrumental Variable Regression with Latent Variable. CoRR Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu
2022	J	`jnl`	Instrumental Variables in Causal Inference and Machine Learning: A Survey. CoRR Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu
2022	J	`jnl`	Learning Individual Treatment Effects under Heterogeneous Interference in Networks. CoRR Ziyu Zhao, Kun Kuang, Ruoxuan Xiong, Fei Wu
2022	J	`jnl`	Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. CoRR Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu
2021	J	`jnl`	Federated Causal Inference in Heterogeneous Observational Data. CoRR Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey
2021	J	`jnl`	Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. CoRR Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin
2020	A*	`conf`	Stable Prediction with Model Misspecification and Agnostic Distribution Shift. AAAI Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2020	J	`jnl`	Stable Prediction with Model Misspecification and Agnostic Distribution Shift. CoRR Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li
2019	C	`conf`	A tractable ellipsoidal approximation for voltage regulation problems. ACC Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
2019	J	`jnl`	A tractable ellipsoidal approximation for voltage regulation problems. CoRR Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
2018	A*	`conf`	Stable Prediction across Unknown Environments. KDD Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li
2018	J	`jnl`	Stable Prediction across Unknown Environments. CoRR Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li