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Xu Chu
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2020 – today
- 2024
- [j37]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: 108058 (2024) - [j36]Renzhi Wu
, Pramod Chunduri
SketchQL: Video Moment Querying with a Visual Query Interface. Proc. ACM Manag. Data 2(4): 204:1-204:27 (2024) - [j35]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. Proc. VLDB Endow. 17(12): 4429-4432 (2024) - [j34]Weiming Tong
Tool State Recognition Based on POGNN-GRU under Unbalanced Data. Sensors 24(16): 5433 (2024) - [c48]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: 1266-1279 - [c47]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: 13762-13774 - [c46]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: 584-597 - [c45]Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao:
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation. ICML 2024 - [c44]Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu:
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. ICML 2024 - [c43]Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma:
Temporal Domain Generalization via Learning Instance-level Evolving Patterns. IJCAI 2024: 4255-4263 - [c42]Yongxin Xu
ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. KDD 2024: 3633-3644 - [i39]Zhihao Yu, Xu Chu, Liantao Ma, Yasha Wang, Wenwu Zhu:
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series. CoRR abs/2401.07249 (2024) - [i38]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 abs/2401.09943 (2024) - [i37]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 abs/2401.16796 (2024) - [i36]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 abs/2403.14358 (2024) - [i35]Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao:
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation. CoRR abs/2404.04316 (2024) - [i34]Yang Lin, Xinyu Ma, Xu Chu, Yujie Jin, Zhibang Yang, Yasha Wang, Hong Mei:
LoRA Dropout as a Sparsity Regularizer for Overfitting Control. CoRR abs/2404.09610 (2024) - [i33]Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao:
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction. CoRR abs/2405.09039 (2024) - [i32]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 abs/2405.18334 (2024) - [i31]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 abs/2406.00034 (2024) - [i30]Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang:
KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. CoRR abs/2408.03297 (2024) - [i29]Yujie Feng, Xu Chu, Yongxin Xu, Zexin Lu, Bo Liu, Philip S. Yu, Xiao-Ming Wu:
TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning. CoRR abs/2408.05200 (2024) - [i28]Xinke Jiang, Yuchen Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang:
TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. CoRR abs/2408.09199 (2024) - [i27]Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu:
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. CoRR abs/2408.09857 (2024) - [i26]Zhihao Yu, Yujie Jin, Yongxin Xu, Xu Chu, Yasha Wang, Junfeng Zhao:
IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models. CoRR abs/2408.13073 (2024) - [i25]Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang:
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. CoRR abs/2410.10360 (2024) - [i24]Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Xu Chu, Junfeng Zhao, Yasha Wang:
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. CoRR abs/2410.10901 (2024) - [i23]Weibin Liao, Xu Chu, Yasha Wang:
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees. CoRR abs/2410.12854 (2024) - [i22]Zhijie Tan, Xu Chu, Weiping Li, Tong Mo:
Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models. CoRR abs/2410.16983 (2024) - [i21]Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang:
RAGraph: A General Retrieval-Augmented Graph Learning Framework. CoRR abs/2410.23855 (2024) - 2023
- [j33]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: 106970 (2023) - [j32]Weiming Tong, Xu Chu, Wenqi Jiang, Zhongwei Li:
A multimodal dual-fusion entity extraction model for large and complex devices. Comput. Commun. 210: 1-9 (2023) - [j31]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): 107125 (2023) - [j30]Yujie Feng
Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method. ACM Trans. Comput. Heal. 4(1): 8:1-8:18 (2023) - [j29]Junyi Ma
An Adaptive Fusion Risk-Zone Detection Network and its Application. Int. J. Pattern Recognit. Artif. Intell. 37(6): 2350014:1-2350014:18 (2023) - [j28]Xing Guo, Jie Li, Qian Su, Jiajun Song, Cai Cheng, Xu Chu
Transcriptional correlates of frequency-dependent brain functional activity associated with symptom severity in degenerative cervical myelopathy. NeuroImage 284: 120451 (2023) - [j27]Hantian Zhang
iFlipper: Label Flipping for Individual Fairness. Proc. ACM Manag. Data 1(1): 8:1-8:26 (2023) - [j26]Renzhi Wu
Ground Truth Inference for Weakly Supervised Entity Matching. Proc. ACM Manag. Data 1(1): 32:1-32:28 (2023) - [j25]Peng Li
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. Proc. ACM Manag. Data 1(2): 183:1-183:26 (2023) - [j24]Chong Zhang
CTCD-Net: A Cross-Layer Transmission Network for Tiny Road Crack Detection. Remote. Sens. 15(8): 2185 (2023) - [j23]Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini
Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests. SIGMOD Rec. 52(2): 43-47 (2023) - [j22]Yujie Feng
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction. IEEE Trans. Big Data 9(4): 1057-1070 (2023) - [j21]Xinyu Ma
Patient Health Representation Learning via Correlational Sparse Prior of Medical Features. IEEE Trans. Knowl. Data Eng. 35(11): 11769-11783 (2023) - [c41]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: 13361-13377 - [c40]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: 7826-7835 - [c39]Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu:
Learning Hyper Label Model for Programmatic Weak Supervision. ICLR 2023 - [c38]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: 6158-6184 - [c37]Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu:
Discovering Process-Based Drivers for Case-Level Outcome Explanation. ICPM Workshops 2023: 165-178 - [c36]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 - [c35]Yongxin Xu
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. WWW 2023: 2819-2830 - [i20]Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu:
Graph Interpolation via Fast Fused-Gromovization. CoRR abs/2306.15963 (2023) - [i19]Peng Li, Zhiyi Chen
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data. CoRR abs/2308.10915 (2023) - [i18]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 abs/2312.15883 (2023) - 2022
- [j20]Zhe Wang, Xu Chu, Dongdong Li, Hai Yang
Cost-sensitive matrixized classification learning with information entropy. Appl. Soft Comput. 116: 108266 (2022) - [j19]Renzhi Wu
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. 14(3): 15:1-15:23 (2022) - [j18]Xu Chu
Defect Detection for a Vertical Shaft Surface Based on Multimodal Sensors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8109-8117 (2022) - [j17]Yutong Wei
Electrical Compensation for Magnetization Distortion of Magnetic Fluxgate Current Sensor. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j16]Lili He
Single-Phase to Ground Fault Line Identification for Medium Voltage Islanded Microgrids With Neutral Ineffectively Grounded Modes. IEEE Trans. Smart Grid 13(6): 4312-4326 (2022) - [c34]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: 1-5 - [c33]Shuang Hao
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. ICDE 2022: 1219-1231 - [c32]Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao:
Enhancing Robust Text Classification via Category Description. ICDM 2022: 151-160 - [c31]Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei:
DNA: Domain Generalization with Diversified Neural Averaging. ICML 2022: 4010-4034 - [c30]Yujie Jin, Xu Chu, Yasha Wang
Domain Generalization through the Lens of Angular Invariance. IJCAI 2022: 995-1001 - [c29]Chaohe Zhang, Xu Chu, Liantao Ma
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. KDD 2022: 2418-2428 - [c28]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: 735-748 - [i17]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 abs/2202.02800 (2022) - [i16]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 abs/2204.10011 (2022) - [i15]Renzhi Wu, Shen-En Chen, Xu Chu:
Learned Label Aggregation for Weak Supervision. CoRR abs/2207.13545 (2022) - [i14]Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang:
iFlipper: Label Flipping for Individual Fairness. CoRR abs/2209.07047 (2022) - [i13]Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu:
Domain Generalization through the Lens of Angular Invariance. CoRR abs/2210.15836 (2022) - [i12]Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao:
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. CoRR abs/2210.17292 (2022) - [i11]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. CoRR abs/2211.06975 (2022) - 2021
- [j15]Renzhi Wu
Demonstration of Panda: A Weakly Supervised Entity Matching System. Proc. VLDB Endow. 14(12): 2735-2738 (2021) - [j14]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): 272-284 (2021) - [j13]Zhongyu Liu
A Joint Optimization Framework of the Embedding Model and Classifier for Meta-Learning. Sci. Program. 2021: 1538914:1-1538914:11 (2021) - [j12]Lili He, Zhikang Shuai
Waveform Difference Feature-Based Protection Scheme for Islanded Microgrids. IEEE Trans. Smart Grid 12(3): 1939-1952 (2021) - [c27]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: 451-458 - [c26]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: 497-503 - [c25]Peng Li, Xi Rao
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks. ICDE 2021: 13-24 - [c24]Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh:
FairRover: explorative model building for fair and responsible machine learning. DEEM@SIGMOD 2021: 5:1-5:10 - [c23]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. SIGMOD Conference 2021: 1064-1076 - [c22]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. SIGMOD Conference 2021: 2076-2088 - [c21]Xu Chu, Xiaoyang Liu, Qimei Chen
Joint Accuracy and Resource Allocation for Green Federated Learning Networks. SmartCom 2021: 154-163 - [i10]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. CoRR abs/2103.04489 (2021) - [i9]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. CoRR abs/2103.09055 (2021) - [i8]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. CoRR abs/2106.10821 (2021) - 2020
- [j11]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): 255-267 (2020) - [c20]Jingyue Gao
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM 2020: 395-404 - [c19]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: 695-706 - [c18]Yuanduo He, Xu Chu, Yasha Wang
Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining. ICDE 2020: 373-384 - [c17]Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong:
Distance Metric Learning with Joint Representation Diversification. ICML 2020: 1962-1973 - [c16]Renzhi Wu
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference 2020: 1149-1164 - [c15]Nilaksh Das, Sanya Chaba, Renzhi Wu
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference 2020: 1717-1732 - [i7]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 abs/2005.05117 (2020)
2010 – 2019
- 2019
- [b2]Ihab F. Ilyas, Xu Chu
Data Cleaning. ACM Books 28, ACM 2019, ISBN 978-1-4503-7152-0, pp. 1-285 - [j10]Lixia Zhao, Lei Zhang, Shuguang Zheng
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): 744-749 (2019) - [c14]Jingyue Gao
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. CIKM 2019: 1903-1912 - [c13]Xu Chu, Yang Lin, Yasha Wang
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. IJCAI 2019: 4518-4524 - [c12]Zhuoran Yu, Xu Chu:
PIClean: A Probabilistic and Interactive Data Cleaning System. SIGMOD Conference 2019: 2021-2024 - [r1]Xu Chu:
Data Cleaning. Encyclopedia of Big Data Technologies 2019 - [i6]Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR abs/1903.04552 (2019) - [i5]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 abs/1904.09483 (2019) - [i4]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
AutoER: Automated Entity Resolution using Generative Modelling. CoRR abs/1908.06049 (2019) - 2018
- [j9]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): 1165-1177 (2018) - [c11]Xu Chu, Na Ruan, Ming Li, Weijia Jia
Pseudonym Inference in Cooperative Vehicular Traffic Scenarios. CNS 2018: 1-9 - [c10]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: 388-397 - [c9]Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang
Characteristic Subspace Learning for Time Series Classification. ICDM 2018: 1019-1024 - [c8]Jingyue Gao
CAPED: Context-Aware Powerlet-Based Energy Disaggregation. PAKDD (1) 2018: 236-247 - [c7]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: 1785-1788 - [i3]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 abs/1811.00208 (2018) - 2017
- [b1]Xu Chu:
Scalable and Holistic Qualitative Data Cleaning. University of Waterloo, Ontario, Canada, 2017 - [j8]Theodoros Rekatsinas
HoloClean: Holistic Data Repairs with Probabilistic Inference. Proc. VLDB Endow. 10(11): 1190-1201 (2017) - [i2]Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré:
HoloClean: Holistic Data Repairs with Probabilistic Inference. CoRR abs/1702.00820 (2017) - [i1]Yuanduo He, Xu Chu, Juguang Peng, Jingyue Gao, Yasha Wang:
Motif-based Rule Discovery for Predicting Real-valued Time Series. CoRR abs/1709.04763 (2017) - 2016
- [j7]Xu Chu, Ihab F. Ilyas, Paraschos Koutris:
Distributed Data Deduplication. Proc. VLDB Endow. 9(11): 864-875 (2016) - [j6]Ziawasch Abedjan
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9(12): 993-1004 (2016) - [j5]Xu Chu, Ihab F. Ilyas:
Qualitative Data Cleaning. Proc. VLDB Endow. 9(13): 1605-1608 (2016) - [c6]Mina H. Farid, Alexandra Roatis, Ihab F. Ilyas, Hella-Franziska Hoffmann, Xu Chu:
CLAMS: Bringing Quality to Data Lakes. SIGMOD Conference 2016: 2089-2092 - [c5]Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang:
Data Cleaning: Overview and Emerging Challenges. SIGMOD Conference 2016: 2201-2206 - 2015
- [j4]Ihab F. Ilyas, Xu Chu:
Trends in Cleaning Relational Data: Consistency and Deduplication. Found. Trends Databases 5(4): 281-393 (2015) - [j3]Yeye He, Kris Ganjam, Xu Chu:
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora. Proc. VLDB Endow. 8(12): 1358-1369 (2015) - [j2]Xu Chu, Mourad Ouzzani, John Morcos, Ihab F. Ilyas, Paolo Papotti, Nan Tang, Yin Ye:
KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing. Proc. VLDB Endow. 8(12): 1952-1955 (2015) - [c4]Xu Chu, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing. SIGMOD Conference 2015: 1247-1261 - [c3]Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam:
TEGRA: Table Extraction by Global Record Alignment. SIGMOD Conference 2015: 1713-1728 - 2014
- [c2]Xu Chu, Ihab F. Ilyas, Paolo Papotti
RuleMiner: Data quality rules discovery. ICDE 2014: 1222-1225 - 2013
- [j1]Xu Chu, Ihab F. Ilyas, Paolo Papotti
Discovering Denial Constraints. Proc. VLDB Endow. 6(13): 1498-1509 (2013) - [c1]Xu Chu, Ihab F. Ilyas
Holistic data cleaning: Putting violations into context. ICDE 2013: 458-469
Coauthor Index
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