Xu Chu

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 100

Top Venues

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Xu Chu, Tao Chen, Nan-jing Huang, Xue-song Li
A new class of general fractional differential quasivariational and quasivariational-hemivariational inequalities with variable constraint sets. Commun. Nonlinear Sci. Numer. Simul. 135 (2024)
Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction. CoRR (2024)
Yang Yao, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Xu Chu, Yuekui Yang, Wenwu Zhu, Hong Mei
Exploring the Potential of Large Language Models in Graph Generation. CoRR (2024)
Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma
Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. CoRR (2024)
Yang Lin, Xinyu Ma, Xu Chu, Yujie Jin, Zhibang Yang, Yasha Wang, Hong Mei
LoRA Dropout as a Sparsity Regularizer for Overfitting Control. CoRR (2024)
Xin Gao, Yang Lin, Ruiqing Li, Yasha Wang, Xu Chu, Xinyu Ma, Hailong Yu
Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning. ICDE (2024)
Yang Lin, Xinyu Ma, Xin Gao, Ruiqing Li, Yasha Wang, Xu Chu
Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation. ACL (Findings) (2024)
Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches. CoRR (2024)
Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. ACL (1) (2024)
Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. KDD (2024)
Tianlong Wang, Xianfeng Jiao, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. CoRR (2024)
Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. CoRR (2024)
Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation. CoRR (2024)
Zhihao Yu, Xu Chu, Liantao Ma, Yasha Wang, Wenwu Zhu
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series. CoRR (2024)
Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction. IEEE Trans. Big Data 9 (4) (2023)
Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. ICML (2023)
Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Donatella Firmani, Xu Chu, Peng Li, Renzhi Wu
Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests. SIGMOD Rec. 52 (2) (2023)
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
Ground Truth Inference for Weakly Supervised Entity Matching. Proc. ACM Manag. Data 1 (1) (2023)
Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications. NeurIPS (2023)
Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao, Chao Chen
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words. ACL (Findings) (2023)
Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. Proc. ACM Manag. Data 1 (2) (2023)
Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. CoRR (2023)
Weiming Tong, Xu Chu, Jiang Wenqi, Zhongwei Li
A multimodal dual-fusion entity extraction model for large and complex devices. Comput. Commun. 210 (2023)
Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. CoRR (2023)
Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, Guoren Wang
Patient Health Representation Learning via Correlational Sparse Prior of Medical Features. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
Graph Interpolation via Fast Fused-Gromovization. CoRR (2023)
Mengping Yang, Xu Chu, Jingwen Zhu, Yonghui Xi, Saisai Niu, Zhe Wang
Adaptive federated few-shot feature learning with prototype rectification. Eng. Appl. Artif. Intell. 126 (Part D) (2023)
Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu
Learning Hyper Label Model for Programmatic Weak Supervision. ICLR (2023)
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
iFlipper: Label Flipping for Individual Fairness. Proc. ACM Manag. Data 1 (1) (2023)
Junyi Ma, Xuanliang Wang, Yasha Wang, Xu Chu, Junfeng Zhao
An Adaptive Fusion Risk-Zone Detection Network and its Application. Int. J. Pattern Recognit. Artif. Intell. 37 (6) (2023)
Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu
Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method. ACM Trans. Comput. Heal. 4 (1) (2023)
Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. WWW (2023)
Xing Guo, Jie Li, Qian Su, Jiajun Song, Cai Cheng, Xu Chu, Rui Zhao
Transcriptional correlates of frequency-dependent brain functional activity associated with symptom severity in degenerative cervical myelopathy. NeuroImage 284 (2023)
Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu
Discovering Process-Based Drivers for Case-Level Outcome Explanation. ICPM Workshops (2023)
Xu Chu, Tao Chen, Nan-jing Huang, Yi-bin Xiao
A new class of differential quasivariational inequalities with an application to a quasistatic viscoelastic frictional contact problem. Commun. Nonlinear Sci. Numer. Simul. 117 (2023)
Chong Zhang, Yang Chen, Luliang Tang, Xu Chu, Chaokui Li
CTCD-Net: A Cross-Layer Transmission Network for Tiny Road Crack Detection. Remote. Sens. 15 (8) (2023)
Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. CVPR (2023)
Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
Care: Learning with Missing Modalities in Multimodal Healthcare Data. CoRR (2022)
Yutong Wei, Cheng Li, Wenlei Zhao, Mingyu Xue, Bin Cao, Xu Chu, Chaofeng Ye
Electrical Compensation for Magnetization Distortion of Magnetic Fluxgate Current Sensor. IEEE Trans. Instrum. Meas. 71 (2022)
Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei
DNA: Domain Generalization with Diversified Neural Averaging. ICML (2022)
Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu
Domain Generalization through the Lens of Angular Invariance. CoRR (2022)
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He
Ground Truth Inference for Weakly Supervised Entity Matching. CoRR (2022)
Changde Hu, Qiang Liu, Ziyang Li, Zhenyu Lu, Xu Chu, Xin Wen
Research on Multi-parameter Tracking Effect Evaluation system Based on Photoelectric theodolite. DSIT (2022)
Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu
Domain Generalization through the Lens of Angular Invariance. IJCAI (2022)
Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. 14 (3) (2022)
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
iFlipper: Label Flipping for Individual Fairness. CoRR (2022)
Renzhi Wu, Shen-En Chen, Xu Chu
Learned Label Aggregation for Weak Supervision. CoRR (2022)
Xu Chu, Luliang Tang, Fei Sun, Xi Chen, Le Niu, Chang Ren, Qingquan Li
Defect Detection for a Vertical Shaft Surface Based on Multimodal Sensors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao
Enhancing Robust Text Classification via Category Description. ICDM (2022)
Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering. CoRR (2022)
Zhe Wang, Xu Chu, Dongdong Li, Hai Yang, Weichao Qu
Cost-sensitive matrixized classification learning with information entropy. Appl. Soft Comput. 116 (2022)
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR (2022)
Lili He, Yang Li, Xu Chu, Zhikang Shuai, Yelun Peng, Zheng John Shen
Single-Phase to Ground Fault Line Identification for Medium Voltage Islanded Microgrids With Neutral Ineffectively Grounded Modes. IEEE Trans. Smart Grid 13 (6) (2022)
Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. KDD (2022)
Shuang Hao, Peng Li, Renzhi Wu, Xu Chu
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. ICDE (2022)
Qiankun Yu, Xuekui Wang, Dong Wang, Xu Chu, Bing Liu, Peng Liu
BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation. PRCV (1) (2022)
Zhongyu Liu, Xu Chu, Yan Lu, Wanli Yu, Shuguang Miao, Enjie Ding
A Joint Optimization Framework of the Embedding Model and Classifier for Meta-Learning. Sci. Program. 2021 (2021)
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. 15 (2) (2021)
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
Demonstration of Panda: A Weakly Supervised Entity Matching System. Proc. VLDB Endow. 14 (12) (2021)
Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. SIGMOD Conference (2021)
Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks. ICDE (2021)
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. CoRR (2021)
Xu Chu, Xiaoyang Liu, Qimei Chen, Yunfei Xiong, Juanjuan Wang, Han Yu, Xiang Hu
Joint Accuracy and Resource Allocation for Green Federated Learning Networks. SmartCom (2021)
Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. CoRR (2021)
Weiming Tong, Xu Chu, Xiaoye Wang, Xinyi Feng, Long Pang, Jingbo Lin
Establishment of a unified data model based on OPC UA and analysis of the efficiency of communication protocol. EITCE (2021)
Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh
FairRover: explorative model building for fair and responsible machine learning. DEEM@SIGMOD (2021)
Lili He, Zhikang Shuai, Xu Chu, Wen Huang, Yu Feng, Zheng John Shen
Waveform Difference Feature-Based Protection Scheme for Islanded Microgrids. IEEE Trans. Smart Grid 12 (3) (2021)
Xu Chu, Yudong Yin, Dong Xue, Hechuan Zhang, Zheng Yao, Ruyan Xu
Application of Rough Sets Conditional Information Entropy in Climatic Evaluation of Flue-Cured Tobacco Growing Areas. EBIMCS (2021)
Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. SIGMOD Conference (2021)
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He
Demonstration of Panda: A Weakly Supervised Entity Matching System. CoRR (2021)
Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference (2020)
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Proc. VLDB Endow. 14 (3) (2020)
Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. CoRR (2020)
Yuanduo He, Xu Chu, Yasha Wang
Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining. ICDE (2020)
Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong
Distance Metric Learning with Joint Representation Diversification. ICML (2020)
Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM (2020)
Ruyan Xu, Zongyu Hu, Qiang Xu, Haiqing Chen, Shaopeng Li, Xu Chu
Study on Classification of Flue-cured Tobacco Planting area Based on Different Clustering Analysis Methods. EBIMCS (2020)
Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference (2020)
Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]. CoRR (2019)
Lixia Zhao, Lei Zhang, Shuguang Zheng, Cheng Zhao, Hongqiao Wang, Chunhui Liu, Xu Chu
Using the Area Ratio to Differentiate Between Benign and Malignant Breast Lesions: Ultrasound Strain Elastography versus Contrast Enhanced Ultrasound. J. Medical Imaging Health Informatics 9 (4) (2019)
Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu
GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR (2019)
Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. CIKM (2019)
Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan
AutoER: Automated Entity Resolution using Generative Modelling. CoRR (2019)
Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. IJCAI (2019)
Zhuoran Yu, Xu Chu
PIClean: A Probabilistic and Interactive Data Cleaning System. SIGMOD Conference (2019)
Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng
Characteristic Subspace Learning for Time Series Classification. ICDM (2018)
Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations. Proc. VLDB Endow. 11 (10) (2018)
Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions. CoRR (2018)
Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao
CAPED: Context-Aware Powerlet-Based Energy Disaggregation. PAKDD (1) (2018)
Yuanduo He, Xu Chu, Guangju Peng, Yasha Wang, Zhu Jin, Xiaorong Wang
Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach. COMPSAC (1) (2018)
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. SIGMOD Conference (2018)
Xu Chu, Na Ruan, Ming Li, Weijia Jia
Pseudonym Inference in Cooperative Vehicular Traffic Scenarios. CNS (2018)
Yuanduo He, Xu Chu, Juguang Peng, Jingyue Gao, Yasha Wang
Motif-based Rule Discovery for Predicting Real-valued Time Series. CoRR (2017)
Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré
HoloClean: Holistic Data Repairs with Probabilistic Inference. Proc. VLDB Endow. 10 (11) (2017)
Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré
HoloClean: Holistic Data Repairs with Probabilistic Inference. CoRR (2017)
Xu Chu, Ihab F. Ilyas, Paraschos Koutris
Distributed Data Deduplication. Proc. VLDB Endow. 9 (11) (2016)
Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9 (12) (2016)
Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang
Data Cleaning: Overview and Emerging Challenges. SIGMOD Conference (2016)
Xu Chu, Ihab F. Ilyas
Qualitative Data Cleaning. Proc. VLDB Endow. 9 (13) (2016)
Mina H. Farid, Alexandra Roatis, Ihab F. Ilyas, Hella-Franziska Hoffmann, Xu Chu
CLAMS: Bringing Quality to Data Lakes. SIGMOD Conference (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xu Chu