A new QR-based block least mean squares (QR-BLMS) algorithm for adaptive parameter estimation. - Xinxing Yang; Shing-Chow Chan (ICASSP (6), 2003)

Transform domain approximate QR-LS adaptive filtering algorithm. - Xinxing Yang; S. C. Chan 001 (ISCAS (4), 2003)

Lifetime acceleration model for HAST tests of a pHEMT process. - Peter Ersland; Hei-Ruey Jen; Xinxing Yang (Microelectron. Reliab., 2004)

Improved approximate QR-LS algorithms for adaptive filtering. - Shing-Chow Chan; Xinxing Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2004)

Reliability investigation and characterization of failure modes in Schottky diodes. - Shivarajiv Somisetty; Peter Ersland; Xinxing Yang; Jason Barrett (Microelectron. Reliab., 2006)

Mandarin short message dictation on Symbian series 60 mobile phones. - Jari Alhonen; Yang Cao; Guohong Ding; Ying Liu 041; Jesper Ø. Olsen; Xia Wang; Xinxing Yang (Mobility Conference, 2007)

A decoder for large vocabulary continuous short message dictation on embedded devices. - Jesper Ø. Olsen; Yang Cao; Guohong Ding; Xinxing Yang (ICASSP, 2008)

Large scale app recommendation in Ant Financial. - Chaochao Chen 001; Xinxing Yang; Li Wang 056; Jun Zhou 011; Xiaolong Li 005 (IEEE BigData, 2017)

POSTER: Actively Detecting Implicit Fraudulent Transactions. - Shaosheng Cao; Xinxing Yang; Jun Zhou 011; Xiaolong Li 005; Yuan (Alan) Qi; Kai Xiao (CCS, 2017)

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. - Jun Zhou 011; Xiaolong Li 005; Peilin Zhao; Chaochao Chen 001; Longfei Li; Xinxing Yang; Qing Cui; Jin Yu; Xu Chen 017; Yi Ding 006; Yuan (Alan) Qi (KDD, 2017)

Heterogeneous Graph Neural Networks for Malicious Account Detection. - Ziqi Liu; Chaochao Chen 001; Xinxing Yang; Jun Zhou 011; Xiaolong Li 005; Le Song (CIKM, 2018)

A Local Online Learning Approach for Non-linear Data. - Xinxing Yang; Jun Zhou 011; Peilin Zhao; Cen Chen 001; Chaochao Chen 001; Xiaolong Li 005 (PAKDD (2), 2018)

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. - Cen Chen 001; Chen Liang; Jianbin Lin; Li Wang 056; Ziqi Liu; Xinxing Yang; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (IEEE BigData, 2019)

Additional Neural Matrix Factorization model for computational drug repositioning. - Xinxing Yang; Ibrahim Zamit; Yu Liu; Jieyue He (BMC Bioinform., 2019)

TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. - Shaosheng Cao; Xinxing Yang; Cen Chen 001; Jun Zhou 011; Xiaolong Li 005; Yuan Qi 001 (Proc. VLDB Endow., 2019)

SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. - Qitao Shi; Ya-Lin Zhang 001; Longfei Li; Xinxing Yang; Meng Li; Jun Zhou 011 (ICDE, 2020)

Hybrid attentional memory network for computational drug repositioning. - Jieyue He; Xinxing Yang; Zhuo Gong; Ibrahim Zamit (BMC Bioinform., 2020)

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. - Cen Chen 001; Chen Liang; Jianbin Lin; Li Wang 056; Ziqi Liu; Xinxing Yang; Xiukun Wang; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (CoRR, 2020)

Constraint-Adaptive Rule Mining in Large Databases. - Meng Li; Ya-Lin Zhang 001; Qitao Shi; Xinxing Yang; Qing Cui; Longfei Li; Jun Zhou 011 (DASFAA (3), 2021)

A Classification Based Ensemble Pruning Framework with Multi-metric Consideration. - Ya-Lin Zhang 001; Qitao Shi; Meng Li; Xinxing Yang; Longfei Li; Jun Zhou 011 (IntelliSys (1), 2021)

The Neural Metric Factorization for Computational Drug Repositioning. - Xinxing Yang; Genke Yang (CoRR, 2021)

A Task-Aware Attention-Based Method for Improved Meta-Learning. - Yue Zhang; Xinxing Yang; Feng Zhu 011; Yalin Zhang 001; Meng Li; Qitao Shi; Longfei Li; Jun Zhou 011 (APWeb/WAIM (2), 2022)

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. - Meng Li; Lu Yu 006; Ya-Lin Zhang 001; Xiaoguang Huang; Qitao Shi; Qing Cui; Xinxing Yang; Longfei Li; Wei Zhu; Yanming Fang; Jun Zhou 011 (CIKM, 2022)

AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. - Yankun Ren; Longfei Li; Xinxing Yang; Jun Zhou 011 (PAKDD (1), 2022)

ALT: An Automatic System for Long Tail Scenario Modeling. - Ya-Lin Zhang 001; Jun Zhou 011; Yankun Ren; Yue Zhang; Xinxing Yang; Meng Li; Qitao Shi; Longfei Li (ICDE, 2023)

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. - Feng Zhu 011; Mingjie Zhong; Xinxing Yang; Longfei Li; Lu Yu 006; Tiehua Zhang; Jun Zhou 011; Chaochao Chen 001; Fei Wu 001; Guanfeng Liu 001; Yan Wang 002 (ICDE, 2023)

TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. - Jingyuan Li; Yue Zhang; Xuan Lin; Xinxing Yang; Ge Zhou; Longfei Li; Hong Chen; Jun Zhou 011 (SIGIR, 2023)

GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. - Yankun Ren; Xinxing Yang; Xingyu Lu; Longfei Li; Jun Zhou 011; Jinjie Gu; Guannan Zhang (SIGIR, 2023)

The Balanced Matrix Factorization for Computational Drug Repositioning. - Xinxing Yang; Genke Yang; Jian Chu (CoRR, 2023)

The Graph Convolutional Network with Multi-representation Alignment for Drug Synergy Prediction. - Xinxing Yang; Genke Yang; Jian Chu (CoRR, 2023)

The Neural Metric Factorization for Computational Drug Repositioning. - Xinxing Yang; Genke Yang; Jian Chu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

The Computational Drug Repositioning Without Negative Sampling. - Xinxing Yang; Genke Yang; Jian Chu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Self-Supervised Learning for Label Sparsity in Computational Drug Repositioning. - Xinxing Yang; Genke Yang; Jian Chu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. - Kehang Wang; Ye Liu 011; Kai Zhang 038; Qi Liu 003; Yankun Ren; Xinxing Yang; Longfei Li; Jun Zhou 011 (DASFAA (5), 2024)

Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction. - Yue Zhang; Xinxing Yang; Feng Zhu 011; Longfei Li; Linbo Jiang; Jun Zhou 011 (DASFAA (7), 2024)

An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations. - Feng Zhu 011; Xinxing Yang; Longfei Li; Jun Zhou 011 (ACM Multimedia, 2024)

GATS: Generative Audience Targeting System for Online Advertising. - Cong Jiang; Zhongde Chen; Bo Zhang 010; Yankun Ren; Xin Dong; Lei Cheng 005; Xinxing Yang; Longfei Li; Jun Zhou 011; Linjian Mo (SIGIR, 2024)

Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. - Yankun Ren; Zhongde Chen; Xinxing Yang; Longfei Li; Cong Jiang; Lei Cheng 005; Bo Zhang 010; Linjian Mo; Jun Zhou 011 (SIGIR, 2024)

GraphCL-DTA: A Graph Contrastive Learning With Molecular Semantics for Drug-Target Binding Affinity Prediction. - Xinxing Yang; Genke Yang; Jian Chu (IEEE J. Biomed. Health Informatics, 2024)

Image Super-Resolution with Dense-Parallel Swin Transformer. - Guojin Pei; Zekun Wang 003; Xinxing Yang; Genke Yang; Jian Chu (Int. J. Pattern Recognit. Artif. Intell., 2025)

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs. - Ling Team; Bin Hu; Cai Chen; Deng Zhao; Ding Liu; Dingnan Jin; Feng Zhu; Hao Dai; Hongzhi Luan; Jia Guo; Jiaming Liu; Jiewei Wu; et al. (CoRR, 2025)