Weishen Pan - RankMe

34 papers A* 8A 1B 1Misc 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation. CoRR Wenxin Chen, Weishen Pan, Kyra Gan, Fei Wang
2026	J	`jnl`	Efficient Imputation for Patch-based Missing Single-cell Data via Cluster-regularized Optimal Transport. CoRR Yuyu Liu, Jiannan Yang, Ziyang Yu, Weishen Pan, Fei Wang, Tengfei Ma
2025	J	`jnl`	Federated target trial emulation using distributed observational data for treatment effect estimation. npj Digit. Medicine Haoyang Li, Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen, Fei Wang
2025	J	`jnl`	MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability. CoRR Wenxin Chen, Weishen Pan, Kyra Gan, Fei Wang
2024	J	`jnl`	An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. Patterns Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang
2024	J	`jnl`	Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models. CoRR Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal, Xiaodan Zhang, Weishen Pan, Qiannan Zhang, Bin Chen, Hiroko H. Dodge, Fei Wang, Jiayu Zhou
2024	A*	`conf`	CLAP: Collaborative Adaptation for Patchwork Learning. ICLR Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang
2024	J	`jnl`	Joint Analysis of Single-Cell Data across Cohorts with Missing Modalities. CoRR Marianne Arriola, Weishen Pan, Manqi Zhou, Qiannan Zhang, Chang Su, Fei Wang
2024	J	`jnl`	Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
2024	A	`conf`	Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. UAI Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
2024	A*	`conf`	Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling. NeurIPS Qiannan Zhang, Weishen Pan, Zilong Bai, Chang Su, Fei Wang
2023	J	`jnl`	Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. IEEE Trans. Pattern Anal. Mach. Intell. Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2023	J	`jnl`	Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment. CoRR Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2023	A*	`conf`	InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. ICML Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
2023	J	`jnl`	InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. CoRR Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
2023	J	`jnl`	Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. CoRR Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
2023	A*	`conf`	Mining Electronic Health Records for Real-World Evidence. KDD Chengxi Zang, Weishen Pan, Fei Wang
2023	J	`jnl`	Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources. CoRR Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
2022	A*	`conf`	Collaboration Equilibrium in Federated Learning. KDD Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2021	A*	`conf`	Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
2021	J	`jnl`	Correcting the User Feedback-Loop Bias for Recommendation Systems. CoRR Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang
2021	A*	`conf`	Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
2021	J	`jnl`	Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
2021	J	`jnl`	Fair and Consistent Federated Learning. CoRR Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
2021	J	`jnl`	Learning to Collaborate. CoRR Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2021	J	`jnl`	The Definitions of Interpretability and Learning of Interpretable Models. CoRR Weishen Pan, Changshui Zhang
2021	A*	`conf`	Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. KDD Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2020	J	`jnl`	Deep Gesture Video Generation With Learning on Regions of Interest. IEEE Trans. Multim. Runpeng Cui, Zhong Cao, Weishen Pan, Changshui Zhang, Jianqiang Wang
2020	J	`jnl`	xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. CoRR Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2017	J	`jnl`	Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm. CoRR Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang
2016	B	`conf`	SpottingNet: Learning the Similarity of Word Images with Convolutional Neural Network for Word Spotting in Handwritten Historical Documents. ICFHR Zhuoyao Zhong, Weishen Pan, Lianwen Jin, Harold Mouchère, Christian Viard-Gaudin
2015	—	`conf`	A Style Transformation Method for Printed Chinese Characters. ICIG (1) Huiyun Mao, Weishen Pan
2015	—	`conf`	Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images. IScIDE (1) Weishen Pan, Guangdong Hou, Changshui Zhang
2015	Misc	`conf`	Towards efficient load distribution in big data cloud. ICNC Zhi Liu, Xiang Wang, Weishen Pan, Baohua Yang, Xiaohe Hu, Jun Li