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Xinxing Yang
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2020 – today
- 2024
- [j10]Xinxing Yang, Genke Yang, Jian Chu:
GraphCL-DTA: A Graph Contrastive Learning With Molecular Semantics for Drug-Target Binding Affinity Prediction. IEEE J. Biomed. Health Informatics 28(8): 4544-4552 (2024) - [c24]Yue Zhang, Xinxing Yang, Feng Zhu, Longfei Li, Linbo Jiang, Jun Zhou:
Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction. DASFAA (7) 2024: 313-326 - [c23]Feng Zhu, Xinxing Yang, Longfei Li, Jun Zhou:
An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations. ACM Multimedia 2024: 9680-9689 - [c22]Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou:
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. SIGIR 2024: 345-354 - [c21]Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo:
GATS: Generative Audience Targeting System for Online Advertising. SIGIR 2024: 2920-2924 - 2023
- [j9]Xinxing Yang, Genke Yang, Jian Chu:
The Neural Metric Factorization for Computational Drug Repositioning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 731-741 (2023) - [j8]Xinxing Yang, Genke Yang, Jian Chu:
The Computational Drug Repositioning Without Negative Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1506-1517 (2023) - [j7]Xinxing Yang, Genke Yang, Jian Chu:
Self-Supervised Learning for Label Sparsity in Computational Drug Repositioning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3245-3256 (2023) - [c20]Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. ICDE 2023: 3017-3030 - [c19]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c18]Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen, Jun Zhou:
TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. SIGIR 2023: 2415-2419 - [c17]Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang:
GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. SIGIR 2023: 3364-3368 - [i13]Xinxing Yang, Genke Yang, Jian Chu:
The Balanced Matrix Factorization for Computational Drug Repositioning. CoRR abs/2301.06448 (2023) - [i12]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i11]Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. CoRR abs/2305.11390 (2023) - [i10]Xinxing Yang, Genke Yang, Jian Chu:
GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction. CoRR abs/2307.08989 (2023) - [i9]Xinxing Yang, Genke Yang, Jian Chu:
The Graph Convolutional Network with Multi-representation Alignment for Drug Synergy Prediction. CoRR abs/2311.16207 (2023) - 2022
- [c16]Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou:
A Task-Aware Attention-Based Method for Improved Meta-Learning. APWeb/WAIM (2) 2022: 474-482 - [c15]Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou:
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. CIKM 2022: 3252-3261 - [c14]Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou:
AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. PAKDD (1) 2022: 143-155 - [i8]Xinxing Yang, Genke Yang, Jian Chu:
Self-supervised Learning for Label Sparsity in Computational Drug Repositioning. CoRR abs/2206.00262 (2022) - 2021
- [c13]Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou:
Constraint-Adaptive Rule Mining in Large Databases. DASFAA (3) 2021: 579-591 - [c12]Ya-Lin Zhang, Qitao Shi, Meng Li, Xinxing Yang, Longfei Li, Jun Zhou:
A Classification Based Ensemble Pruning Framework with Multi-metric Consideration. IntelliSys (1) 2021: 650-667 - [i7]Xinxing Yang, Genke Yang:
The Neural Metric Factorization for Computational Drug Repositioning. CoRR abs/2109.07690 (2021) - [i6]Xinxing Yang, Genke Yang, Jian Chu:
The Computational Drug Repositioning without Negative Sampling. CoRR abs/2111.14696 (2021) - 2020
- [j6]Jieyue He, Xinxing Yang, Zhuo Gong, Ibrahim Zamit:
Hybrid attentional memory network for computational drug repositioning. BMC Bioinform. 21-S(1): 566 (2020) - [c11]Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. ICDE 2020: 1645-1656 - [i5]Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR abs/2002.12307 (2020) - [i4]Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. CoRR abs/2003.02556 (2020) - [i3]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR abs/2003.02833 (2020) - [i2]Jieyue He, Xinxing Yang, Zhuo Gong, Ibrahim Zamit:
Hybrid Attentional Memory Network for Computational drug repositioning. CoRR abs/2006.06910 (2020)
2010 – 2019
- 2019
- [j5]Xinxing Yang, Ibrahim Zamit, Yu Liu, Jieyue He:
Additional Neural Matrix Factorization model for computational drug repositioning. BMC Bioinform. 20(1): 423:1-423:11 (2019) - [j4]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. 12(12): 2082-2093 (2019) - [c10]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData 2019: 1765-1773 - [i1]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. CoRR abs/1906.07407 (2019) - 2018
- [c9]Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM 2018: 2077-2085 - [c8]Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li:
A Local Online Learning Approach for Non-linear Data. PAKDD (2) 2018: 431-443 - 2017
- [c7]Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li:
Large scale app recommendation in Ant Financial. IEEE BigData 2017: 4733-4735 - [c6]Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi, Kai Xiao:
POSTER: Actively Detecting Implicit Fraudulent Transactions. CCS 2017: 2475-2477 - [c5]Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi:
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD 2017: 1693-1702
2000 – 2009
- 2008
- [c4]Jesper Ø. Olsen, Yang Cao, Guohong Ding, Xinxing Yang:
A decoder for large vocabulary continuous short message dictation on embedded devices. ICASSP 2008: 4337-4340 - 2007
- [c3]Jari Alhonen, Yang Cao, Guohong Ding, Ying Liu, Jesper Ø. Olsen, Xia Wang, Xinxing Yang:
Mandarin short message dictation on Symbian series 60 mobile phones. Mobility Conference 2007: 431-438 - 2006
- [j3]Shivarajiv Somisetty, Peter Ersland, Xinxing Yang, Jason Barrett:
Reliability investigation and characterization of failure modes in Schottky diodes. Microelectron. Reliab. 46(8): 1254-1260 (2006) - 2004
- [j2]Peter Ersland, Hei-Ruey Jen, Xinxing Yang:
Lifetime acceleration model for HAST tests of a pHEMT process. Microelectron. Reliab. 44(7): 1039-1045 (2004) - [j1]Shing-Chow Chan, Xinxing Yang:
Improved approximate QR-LS algorithms for adaptive filtering. IEEE Trans. Circuits Syst. II Express Briefs 51-II(1): 29-39 (2004) - 2003
- [c2]Xinxing Yang, Shing-Chow Chan:
A new QR-based block least mean squares (QR-BLMS) algorithm for adaptive parameter estimation. ICASSP (6) 2003: 653-656 - [c1]Xinxing Yang, S. C. Chan:
Transform domain approximate QR-LS adaptive filtering algorithm. ISCAS (4) 2003: 373-376
Coauthor Index
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last updated on 2024-11-07 20:36 CET by the dblp team
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