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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, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong:
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, Jiaqi Shen, Zhongwei Li, Xu Chu, Wenqi Jiang, Liguo Tan:
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, 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: 3633-3644 - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - 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, 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): 8:1-8:18 (2023) - [j29]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): 2350014:1-2350014:18 (2023) - [j28]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: 120451 (2023) - [j27]Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang:
iFlipper: Label Flipping for Individual Fairness. Proc. ACM Manag. Data 1(1): 8:1-8:26 (2023) - [j26]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. Proc. ACM Manag. Data 1(1): 32:1-32:28 (2023) - [j25]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): 183:1-183:26 (2023) - [j24]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): 2185 (2023) - [j23]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): 43-47 (2023) - [j22]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): 1057-1070 (2023) - [j21]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): 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, 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: 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, Xu Chu, Kexin Rong:
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, Weichao Qu:
Cost-sensitive matrixized classification learning with information entropy. Appl. Soft Comput. 116: 108266 (2022) - [j19]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): 15:1-15:23 (2022) - [j18]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: 8109-8117 (2022) - [j17]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: 1-9 (2022) - [j16]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): 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, Peng Li, Renzhi Wu, Xu Chu:
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, Wenwu Zhu:
Domain Generalization through the Lens of Angular Invariance. IJCAI 2022: 995-1001 - [c29]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: 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, Prem Sakala, Peng Li, Xu Chu, Yeye He:
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, 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: 1538914:1-1538914:11 (2021) - [j12]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): 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, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang:
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, Yunfei Xiong, Juanjuan Wang, Han Yu, Xiang Hu:
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, 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: 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, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference 2020: 1149-1164 - [c15]Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
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, 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): 744-749 (2019) - [c14]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: 1903-1912 - [c13]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: 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, Zhu Jin, Guangju Peng:
Characteristic Subspace Learning for Time Series Classification. ICDM 2018: 1019-1024 - [c8]Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao:
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, Xu Chu, Ihab F. Ilyas, Christopher Ré:
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, 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): 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, Nan Tang, Yin Ye:
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, Yin Ye:
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, Paolo Papotti:
Holistic data cleaning: Putting violations into context. ICDE 2013: 458-469
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
