Qi Long - RankMe

117 papers A* 13A 4B 4C 3Misc 2Journal 78Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models. CoRR Weiqing He, Xiang Li, Li Shen, Weijie J. Su, Qi Long
2026	J	`jnl`	SDoH-GPT: using large language models to extract social determinants of health. J. Am. Medical Informatics Assoc. Bernardo Consoli, Haoyang Wang, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
2026	J	`jnl`	Secure distributed multiple imputation enables missing data inference for private data proprietors. npj Digit. Medicine Haris Smajlovic, Yi Lian, Qi Long, Ibrahim Numanagic, Xiaoqian Jiang
2025	J	`jnl`	Analysis of the Impact and Weight of Structural Parameters on the Operating Characteristics of the Spring Operating Mechanism. IEEE Access Qi Long, Xu Yang, Keru Jiang, Changhong Zhang, Xiao Wang, Xiongying Duan
2025	A*	`conf`	BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice. ASE Yuanpeng Li, Qi Long, Zhiyuan Yao, Jian Xu, Lintao Xie, Xu He, Lu Geng, Xin Han, Yueyan Chen, Wenbo Duan
2025	J	`jnl`	BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice. CoRR Yuanpeng Li, Qi Long, Zhiyuan Yao, Jian Xu, Lintao Xie, Xu He, Lu Geng, Xin Han, Yueyan Chen, Wenbo Duan
2025	J	`jnl`	Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. CoRR Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen
2025	J	`jnl`	Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know? CoRR Xiang Li, Jiayi Xin, Qi Long, Weijie J. Su
2025	—	`conf`	Fair CCA for Fair Representation Learning: An ADNI Study. BCB Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen
2025	J	`jnl`	Fair CCA for Fair Representation Learning: An ADNI Study. CoRR Bojian Hou, Zhanliang Wang, Zhuoping Zhou, Boning Tong, Zexuan Wang, Jingxuan Bao, Duy Duong-Tran, Qi Long, Li Shen
2025	J	`jnl`	Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching. CoRR Zhekun Shi, Kaizhao Liu, Qi Long, Weijie J. Su, Jiancong Xiao
2025	—	`conf`	Graph-LLM for EHRs: Combining Temporal Graph Representations and LLM-Based Note Imputation for Clinical Predictions. ICDM (Workshops) Michael Liu, Qi Long, Inyoung Choi
2025	—	`conf`	GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. NAACL (Long Papers) Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu
2025	J	`jnl`	GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. CoRR Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu
2025	A*	`conf`	I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. ICML Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long
2025	J	`jnl`	I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. CoRR Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long
2025	A*	`conf`	InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation. CVPR Sirui Xu, Dongting Li, Yucheng Zhang, Xiyan Xu, Qi Long, Ziyin Wang, Yunzhi Lu, Shuchang Dong, Hezi Jiang, Akshat Gupta, Yu-Xiong Wang, Liang-Yan Gui
2025	J	`jnl`	InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation. CoRR Sirui Xu, Dongting Li, Yucheng Zhang, Xiyan Xu, Qi Long, Ziyin Wang, Yunzhi Lu, Shuchang Dong, Hezi Jiang, Akshat Gupta, Yu-Xiong Wang, Liang-Yan Gui
2025	J	`jnl`	MG-TCCA: Tensor Canonical Correlation Analysis Across Multiple Groups. IEEE Trans. Comput. Biol. Bioinform. Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
2025	J	`jnl`	Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy. CoRR Xiang Li, Buxin Su, Chendi Wang, Qi Long, Weijie J. Su
2025	A*	`conf`	Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing. ICML Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen
2025	J	`jnl`	On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection. CoRR Weiqing He, Xiang Li, Tianqi Shang, Li Shen, Weijie J. Su, Qi Long
2025	J	`jnl`	Optimal Detection for Language Watermarks with Pseudorandom Collision. CoRR T. Tony Cai, Xiang Li, Qi Long, Weijie J. Su, Garrett Wen
2025	J	`jnl`	Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts. CoRR Xiang Li, Garrett Wen, Weiqing He, Jiayuan Wu, Qi Long, Weijie J. Su
2025	J	`jnl`	PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective. CoRR Tim Tsz-Kit Lau, Qi Long, Weijie Su
2025	A*	`conf`	Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. ICML Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen
2025	J	`jnl`	Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. CoRR Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen
2025	J	`jnl`	Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium. CoRR Kaizhao Liu, Qi Long, Zhekun Shi, Weijie J. Su, Jiancong Xiao
2025	J	`jnl`	TAB-DRW: A DFT-based Robust Watermark for Generative Tabular Data. CoRR Yizhou Zhao, Xiang Li, Peter Song, Qi Long, Weijie Su
2025	A*	`conf`	The Impact of Language Mixing on Bilingual LLM Reasoning. EMNLP Yihao Li, Jiayi Xin, Miranda Muqing Miao, Qi Long, Lyle H. Ungar
2025	J	`jnl`	The Impact of Language Mixing on Bilingual LLM Reasoning. CoRR Yihao Li, Jiayi Xin, Miranda Muqing Miao, Qi Long, Lyle H. Ungar
2025	J	`jnl`	Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory. CoRR Jiancong Xiao, Zhekun Shi, Kaizhao Liu, Qi Long, Weijie J. Su
2024	J	`jnl`	A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules. CoRR Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, Weijie J. Su
2024	A*	`conf`	Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization. COLT Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie Su
2024	J	`jnl`	Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization. CoRR Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J. Su
2024	J	`jnl`	Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion. CoRR Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen
2024	A*	`conf`	DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation. ICML Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong
2024	J	`jnl`	DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation. CoRR Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong
2024	J	`jnl`	Deep learning-based approaches for multi-omics data integration and analysis. BioData Min. Jenna L. Ballard, Zexuan Wang, Wenrui Li, Li Shen, Qi Long
2024	A*	`conf`	Fairness-Aware Estimation of Graphical Models. NeurIPS Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
2024	J	`jnl`	Fairness-Aware Estimation of Graphical Models. CoRR Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
2024	A*	`conf`	Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. NeurIPS Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
2024	J	`jnl`	Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts. CoRR Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
2024	J	`jnl`	HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity. Briefings Bioinform. Jessica Butts, Leif Verace, Christine Wendt, Russell P. Bowler, Craig P. Hersh, Qi Long, Lynn E. Eberly, Sandra E. Safo
2024	J	`jnl`	On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. CoRR Jiancong Xiao, Ziniu Li, Xingyu Xie, Emily J. Getzen, Cong Fang, Qi Long, Weijie J. Su
2024	J	`jnl`	Robust Detection of Watermarks for Large Language Models Under Human Edits. CoRR Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, Weijie J. Su
2024	J	`jnl`	Robust knowledge-guided biclustering for multi-omics data. Briefings Bioinform. Qiyiwen Zhang, Changgee Chang, Qi Long
2024	A	`conf`	SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data. AISTATS Zongyu Dai, Emily J. Getzen, Qi Long
2024	J	`jnl`	SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
2024	B	`conf`	SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. IEEE Big Data Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen
2024	J	`jnl`	SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. CoRR Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen
2023	J	`jnl`	Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen
2023	A*	`conf`	Fair Canonical Correlation Analysis. NeurIPS Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
2023	J	`jnl`	Fair Canonical Correlation Analysis. CoRR Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
2023	A	`conf`	Fairness-aware class imbalanced learning on multiple subgroups. UAI Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen
2023	J	`jnl`	Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priyam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes
2023	J	`jnl`	Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis. Briefings Bioinform. Jingxuan Bao, Changgee Chang, Qiyiwen Zhang, Andrew J. Saykin, Li Shen, Qi Long
2023	J	`jnl`	Integrative learning of structured high-dimensional data from multiple datasets. Stat. Anal. Data Min. Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long
2023	—	`conf`	MISNN: Multiple Imputation via Semi-parametric Neural Networks. PAKDD (1) Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long
2023	J	`jnl`	MISNN: Multiple Imputation via Semi-parametric Neural Networks. CoRR Zhiqi Bu, Zongyu Dai, Yiliang Zhang, Qi Long
2023	J	`jnl`	Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? J. Mach. Learn. Res. Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su
2023	J	`jnl`	Mining for equitable health: Assessing the impact of missing data in electronic health records. J. Biomed. Informatics Emily J. Getzen, Lyle H. Ungar, Danielle L. Mowery, Xiaoqian Jiang, Qi Long
2023	—	`conf`	Multi-Group Tensor Canonical Correlation Analysis. BCB Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
2023	J	`jnl`	On the Convergence and Calibration of Deep Learning with Differential Privacy. Trans. Mach. Learn. Res. Zhiqi Bu, Hua Wang, Zongyu Dai, Qi Long
2023	J	`jnl`	Place-Centered Bus Accessibility Time Series Classification with Floating Car Data: An Actual Isochrone and Dynamic Time Warping Distance-Based k-Medoids Method. ISPRS Int. J. Geo Inf. Chen Wang, Si-Jia Zhao, Zongqiang Ren, Qi Long
2023	J	`jnl`	Temporal and Spatial Change in Vegetation and Its Interaction with Climate Change in Argentina from 1982 to 2015. Remote. Sens. Qi Long, Fei Wang, Wenyan Ge, Feng Jiao, Jianqiao Han, Hao Chen, Fidel Alejandro Roig, Elena María Abraham, Mengxia Xie, Lu Cai
2023	J	`jnl`	Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies. J. Comput. Graph. Stat. Kan Chen, Siyu Heng, Qi Long, Bo Zhang
2022	J	`jnl`	Covariate-Balancing-Aware Interpretable Deep Learning models for Treatment Effect Estimation. CoRR Kan Chen, Qishuo Yin, Qi Long
2022	J	`jnl`	Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment. BMC Bioinform. Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
2022	—	`conf`	Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability. ECML/PKDD (4) Qiyiwen Zhang, Zhiqi Bu, Kan Chen, Qi Long
2022	—	`ed.`	IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022 BIBM Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu
2022	J	`jnl`	Integrating multi-omics summary data using a Mendelian randomization framework. Briefings Bioinform. Chong Jin, Brian Lee, Li Shen, Qi Long
2022	J	`jnl`	Low-Complexity Joint 3D Super-Resolution Estimation of Range Velocity and Angle of Multi-Targets Based on FMCW Radar. Sensors Yingchun Li, Qi Long, Zhongjie Wu, Zhiquan Zhou
2022	J	`jnl`	Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen
2022	C	`conf`	Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. ACML Zongyu Dai, Zhiqi Bu, Qi Long
2022	J	`jnl`	Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. CoRR Zongyu Dai, Zhiqi Bu, Qi Long
2022	—	`conf`	Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen
2021	J	`jnl`	A Theorem of the Alternative for Personalized Federated Learning. CoRR Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su
2021	A*	`conf`	Assessing Fairness in the Presence of Missing Data. NeurIPS Yiliang Zhang, Qi Long
2021	J	`jnl`	Assessing Fairness in the Presence of Missing Data. CoRR Yiliang Zhang, Qi Long
2021	J	`jnl`	Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability. CoRR Qiyiwen Zhang, Zhiqi Bu, Kan Chen, Qi Long
2021	J	`jnl`	Fairness in Missing Data Imputation. CoRR Yiliang Zhang, Qi Long
2021	J	`jnl`	Federated $f$-Differential Privacy. CoRR Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su
2021	A	`conf`	Federated f-Differential Privacy. AISTATS Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su
2021	—	`conf`	Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data. IEEE BigData Wenli Sun, Changgee Chang, Qi Long
2021	—	`conf`	Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data. BIBM Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen
2021	J	`jnl`	Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks. CoRR Cong Fang, Hangfeng He, Qi Long, Weijie J. Su
2021	C	`conf`	Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems. ICMLA Zongyu Dai, Zhiqi Bu, Qi Long
2021	J	`jnl`	Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems. CoRR Zongyu Dai, Zhiqi Bu, Qi Long
2021	J	`jnl`	On the Convergence of Deep Learning with Differential Privacy. CoRR Zhiqi Bu, Hua Wang, Qi Long, Weijie J. Su
2020	C	`conf`	Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. BIBE Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen
2020	A	`conf`	GRIA: Graphical Regularization for Integrative Analysis. SDM Changgee Chang, Jihwan Oh, Qi Long
2020	J	`jnl`	Grouping effects of sparse CCA models in variable selection. CoRR Kefei Liu, Qi Long, Li Shen
2020	B	`conf`	Joint Bayesian Variable Selection and Graph Estimation for Non-linear SVM with Application to Genomics Data. DSAA Wenli Sun, Changgee Chang, Qi Long
2020	Misc	`conf`	Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. AMIA Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen
2020	Misc	`conf`	Privacy-Preserving Methods for Vertically Partitioned Incomplete Data. AMIA Yi Deng, Xiaoqian Jiang, Qi Long
2020	J	`jnl`	Privacy-Preserving Methods for Vertically Partitioned Incomplete Data. CoRR Yi Deng, Xiaoqian Jiang, Qi Long
2020	A*	`conf`	Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. ICML Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
2020	J	`jnl`	Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. CoRR Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
2020	J	`jnl`	Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data. BMC Bioinform. Eun Jeong Min, Qi Long
2019	—	`conf`	Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features. IEEE BigData Wenli Sun, Changgee Chang, Qi Long
2019	J	`jnl`	CBNA: A control theory based method for identifying coding and non-coding cancer drivers. PLoS Comput. Biol. Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Gregory J. Goodall, Qi Long, Jiuyong Li, Thuc Duy Le
2019	J	`jnl`	Deep Learning with Gaussian Differential Privacy. CoRR Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie J. Su
2019	J	`jnl`	Distributed learning from multiple EHR databases: Contextual embedding models for medical events. J. Biomed. Informatics Ziyi Li, Kirk Roberts, Xiaoqian Jiang, Qi Long
2019	—	`conf`	Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. ICBK Changgee Chang, Eun Jeong Min, Jihwan Oh, Qi Long
2019	J	`jnl`	Penalized co-inertia analysis with applications to -omics data. Bioinform. Eun Jeong Min, Sandra E. Safo, Qi Long
2019	J	`jnl`	Sparse linear discriminant analysis in structured covariates space. Stat. Anal. Data Min. Sandra E. Safo, Qi Long
2018	J	`jnl`	Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data. IEEE ACM Trans. Comput. Biol. Bioinform. Yize Zhao, Jian Kang, Qi Long
2018	B	`conf`	Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data. DSAA Eun Jeong Min, Changgee Chang, Qi Long
2018	—	`conf`	Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data. IEEE BigData Wenli Sun, Changgee Chang, Yize Zhao, Qi Long
2018	J	`jnl`	Predicting academic performance by considering student heterogeneity. Knowl. Based Syst. Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray, Qi Long
2017	J	`jnl`	Hybrid Statistical and Mechanistic Mathematical Model Guides Mobile Health Intervention for Chronic Pain. J. Comput. Biol. Sara M. Clifton, Chaeryon Kang, Jingyi Jessica Li, Qi Long, Nirmish Shah, Daniel M. Abrams
2017	J	`jnl`	Incorporating biological information in sparse principal component analysis with application to genomic data. BMC Bioinform. Ziyi Li, Sandra E. Safo, Qi Long
2016	B	`conf`	Sparse Linear Discriminant Analysis in Structured Covariates Space. DSAA Sandra E. Safo, Qi Long
2013	J	`jnl`	A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems. Stat. Comput. Matthias Chung, Qi Long, Brent A. Johnson
2009	J	`jnl`	Improved Adaptive and Multi-group Parallel Genetic Algorithm Based on Good-point Set. J. Softw. Ruijiang Wang, Yihong Ru, Qi Long
2009	J	`jnl`	New oscillation criteria of second-order nonlinear differential equations. Appl. Math. Comput. Qi Long, Qi-Ru Wang