Qiang Yang

发表

Advances and Open Problems in Federated Learning pdf

Richard Nock, Zaïd Harchaoui, David Evans, 2019, Found. Trends Mach. Learn..

Towards Personalized Federated Learning pdf

Qiang Yang, Lizhen Cui, Han Yu, 2021, IEEE transactions on neural networks and learning systems.

Federated Deep Reinforcement Learning

Qiang Yang, H. Zhuo, Wenfeng Feng, 2019, 1901.08277.

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

Shuicheng Yan, HongJiang Zhang, Benyu Zhang, 2007 .

City-Scale Map Creation and Updating using GPS Collections

Leonidas J. Guibas, Dimitrios Gunopulos, Cewu Lu, 2016, KDD.

A novel hybrid publication recommendation system using compound information

Qiang Yang, Xiangliang Zhang, Guanfeng Liu, 2019, World Wide Web.

Learning to Multitask

Yu Zhang, Ying Wei, Qiang Yang, 2018, NeurIPS.

The complete compositional epistasis detection in genome-wide association studies

Hongyu Zhao, Qiang Yang, X. Wan, 2013, BMC Genetics.

Differential Private Stack Generalization with an Application to Diabetes Prediction.

J. Kwok, Wei-Wei Tu, Qiang Yang, 2018 .

Privacy and Robustness in Federated Learning: Attacks and Defenses

Philip S. Yu, Qiang Yang, Han Yu, 2020, IEEE transactions on neural networks and learning systems.

Federated Learning

Yang Liu, Qiang Yang, Han Yu, 2019, Synthesis Lectures on Artificial Intelligence and Machine Learning.

Structural vibrations and acoustic radiation of blade–shafting–shell coupled system

Qiang Yang, Yang Liu, Jiyuan Han, 2019 .

A Survey towards Federated Semi-supervised Learning

Qiang Yang, Yang Liu, Yilun Jin, 2020, ArXiv.

A Communication Efficient Vertical Federated Learning Framework

Qiang Yang, Yang Liu, Mingyi Hong, 2019, ArXiv.

Algorithm 1 User-level Distributed Matrix Factorization Init : Server initializes item profile matrix V Init : User initializes user profile matrix

Qiang Yang, Kai Chen, Leye Wang, 2019 .

Data science and AI in FinTech: An overview

Philip S. Yu, Qiang Yang, Longbing Cao, 2020, Int. J. Data Sci. Anal..

Federated Deep Learning with Bayesian Privacy pdf

Qiang Yang, Yan Kang, Lixin Fan, 2021, ArXiv.

DeepIP: Deep Neural Network Intellectual Property Protection with Passports.

Kam Woh Ng, Chee Seng Chan, Qiang Yang, 2021, IEEE transactions on pattern analysis and machine intelligence.

Real-World Image Datasets for Federated Learning

Qiang Yang, Yang Liu, Jiahuan Luo, 2019, ArXiv.

A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning

Yongxin Tong, Qiang Yang, Conghui Tan, 2021, ACM Trans. Intell. Syst. Technol..

Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing

Zimu Zhou, Weifeng Lv, Yongxin Tong, 2021, KDD.

SmartSales: An AI-Powered Telemarketing Coaching System in FinTech

Qiang Yang, Qian Xu, Di Jiang, 2021, ACM Multimedia.

Federated Singular Vector Decomposition pdf

Kai Chen, Qiang Yang, Leye Wang, 2021, ArXiv.

Restoring Meaningful Episodes in a Proxy Log

Qiang Yang, Hongjun Lu, Guimei Liu, 2002 .

Frustratingly Easy Transferability Estimation

Junzhou Huang, Qiang Yang, Ying Wei, 2021, ICML.

SNPHarvester :a filte ring-base dapproac hfo rdetecting epistati cinteraction si ngenome-wid eassociatio nstudies

Qiang Yang, H. Xue, Zengyou He, 2008 .

A Recombination Hotspot in a Schizophrenia-Associated Region of GABRB2

Qiang Yang, H. Xue, Weichuan Yu, 2010, PloS one.

Proceedings of the 2013 IEEE International Conference on Big Data

Xiaohua Hu, Tsau Young Lin, Vijay V. Raghavan, 2013, Big Data 2013.

Proceedings of the 3rd International Conference on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications - Volume 36

Philip S. Yu, Wei Fan, Albert Bifet, 2014, Big Data 2014.

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning

Qiang Yang, Yan Kang, Jiahuan Luo, 2021, IJCAI.

Efficient Federated Matrix Factorization Against Inference Attacks

Qiang Yang, Leye Wang, Di Chai, 2022, ACM Trans. Intell. Syst. Technol..

Transfer Hierarchical Attention Network for Generative Dialog System

Qiang Yang, Xiang Zhang, 2019, International Journal of Automation and Computing.

Privacy-Preserving Transfer Learning

Sinno Jialin Pan, Yu Zhang, Qiang Yang, 2020 .

Model-Based Transfer Learning

Sinno Jialin Pan, Yu Zhang, Qiang Yang, 2020, Transfer Learning.

AutoTL: Learning to Transfer Automatically

Sinno Jialin Pan, Yu Zhang, Qiang Yang, 2020, Transfer Learning.

Transfer Learning in Reinforcement Learning

Sinno Jialin Pan, Yu Zhang, Qiang Yang, 2020 .

Transfer Learning in Dialogue Systems

Sinno Jialin Pan, Yu Zhang, Qiang Yang, 2020 .

Feature-Based Transfer Learning

Sinno Jialin Pan, Yu Zhang, Qiang Yang, 2020, Transfer Learning.

Transfer Learning in Natural Language Processing

Sinno Jialin Pan, Yu Zhang, Qiang Yang, 2020, Transfer Learning.

Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability pdf

Qiang Yang, Yang Liu, Yan Kang, 2021, IEEE Transactions on Big Data.

Feature-based transfer learning with real-world applications

Jialin Pan, Qiang Yang, Qiang Yang, 2010 .

An Overview of Multi-task Learning

Qiang Yang, Yu Zhang, Yu Zhang, 2018 .

Mining web logs for actionable knowledge

Jianfeng Gao, Charles X. Ling, Qiang Yang, 2004 .

Federated Machine Learning: Concept and Applications

Tianjian Chen, Yang Liu, Yongxin Tong, 2019 .

Towards Personalized Federated Learning

Qiang Yang, Han Yu, A. Tan, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Secure Federated Matrix Factorization pdf

Kai Chen, Qiang Yang, Leye Wang, 2019, IEEE Intelligent Systems.

Threats to Federated Learning: A Survey pdf

Han Yu, Qiang Yang, Lingjuan Lyu, 2020, ArXiv.

FL-QSAR: a federated learning based QSAR prototype for collaborative drug discovery.

Qi Liu, Qiang Yang, Guohui Chuai, 2020, Bioinformatics.

FL-QSAR: a federated learning based QSAR prototype for collaborative drug discovery

S. Chen, D. Xue, Guohui Chuai, 2020, bioRxiv.

A Survey towards Federated Semi-supervised Learning

Yilun Jin, Yang Liu, Qiang Yang, 2020, ArXiv.

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Wei Yang Bryan Lim, Nguyen Cong Luong, Qiang Yang, 2019, IEEE Communications Surveys & Tutorials.

Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

Jieping Ye, Xu Geng, Qiang Yang, 2019, AAAI.

Threats to Federated Learning

Lingjuan Lyu, Qiang Yang, Han Yu, 2020, Federated Learning.

Federated Topic Modeling

Qian Xu, Yongxin Tong, Qiang Yang, 2019, CIKM.

AutoCross

Wei-Wei Tu, Qiang Yang, Wenyuan Dai, 2019, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Practical and Secure Federated Recommendation with Personalized Masks

Qiang Yang, V. Zheng, Liu Yang, 2021, FL@IJCAI.

A Federated Recommender System for Online Services

Bo Liu, Qiang Yang, Ben Tan, 2020, RecSys.

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

Tianjian Chen, Yang Liu, Han Yu, 2020, AAAI.

FLOP: Federated Learning on Medical Datasets using Partial Networks

Lawrence Carin, Gregory P. Spell, Gregory Spell, 2021, KDD.

Industrial Federated Topic Modeling

Yongxin Tong, Rongzhong Lian, Qiang Yang, 2021, ACM Trans. Intell. Syst. Technol..

SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary

Qiang Yang, Guoping Hu, Zhixu Li, 2021, CIKM.

Bike flow prediction with multi-graph convolutional networks

Qiang Yang, Leye Wang, Di Chai, 2018, SIGSPATIAL/GIS.

Federated Learning: Privacy and Incentive

Lixin Fan, Qiang Yang, Han Yu, 2020, Federated Learning.

A dataset of human decision-making in teamwork management

Chunyan Miao, Yiqiang Chen, Cyril Leung, 2017, Scientific Data.

Multi-Task Learning in Natural Language Processing: An Overview pdf

Qiang Yang, Yu Zhang, Shijie Chen, 2021, ArXiv.

Self-taught clustering

Qiang Yang, Wenyuan Dai, Yong Yu, 2008, ICML '08.

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification

Yu Zhang, Qiang Yang, Zheng Li, 2018, AAAI.

A Sustainable Incentive Scheme for Federated Learning

Yang Liu, Tianjian Chen, Dusit Niyato, 2020, IEEE Intelligent Systems.

Transfer Learning with Dynamic Distribution Adaptation

Yiqiang Chen, Han Yu, Qiang Yang, 2019, ACM Trans. Intell. Syst. Technol..

Mitigating Herding in Hierarchical Crowdsourcing Networks

Chunyan Miao, Yiqiang Chen, Cyril Leung, 2016, Scientific Reports.

FedML: A Research Library and Benchmark for Federated Machine Learning pdf

Ramesh Raskar, Yang Liu, Xiaoyang Wang, 2020, ArXiv.

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks

Qiang Yang, KamWoh Ng, Lixin Fan, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack

Chee Seng Chan, Kam Woh Ng, Ding Sheng Ong, 2021, ArXiv.

Improvement of Dscam homophilic binding affinity throughout Drosophila evolution

Xuegong Zhang, Qiang Yang, Guang-Zhong Wang, 2014, BMC Evolutionary Biology.

StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing

Qiang Yang, Hongfeng Chai, Yongkai Zhou, 2021, ACM Trans. Intell. Syst. Technol..

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

Jian Pei, Deepak Agarwal, Qiang Yang, 2012, KDD 2012.

Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

Feng Liu, Qiang Yang, Leye Wang, 2018, IJCAI.

A Secure Federated Transfer Learning Framework

Tianjian Chen, Yan Kang, Chaoping Xing, 2020, IEEE Intelligent Systems.

FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning

Qiang Yang, Kai Chen, Leye Wang, 2020, ArXiv.

A Fairness-aware Incentive Scheme for Federated Learning

Tianjian Chen, Dusit Niyato, Han Yu, 2020, AIES.

Federated Transfer Reinforcement Learning for Autonomous Driving pdf

Ming Liu, Tianjian Chen, Yang Liu, 2019, ArXiv.

Privacy-preserving Heterogeneous Federated Transfer Learning

Han Yu, Ce Ju, Qiang Yang, 2019, 2019 IEEE International Conference on Big Data (Big Data).

A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition

Qian Xu, Qiang Yang, Conghui Tan, 2020, IJCAI.

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography

Qiang Yang, Yang Liu, Tianjian Chen, 2019, ArXiv.

Secure Federated Transfer Learning pdf

Yang Liu, Tianjian Chen, Qiang Yang, 2018, ArXiv.

A Communication Efficient Collaborative Learning Framework for Distributed Features

Yang Liu, Qiang Yang, Mingyi Hong, 2019 .

A Multi-player Game for Studying Federated Learning Incentive Schemes

Qiang Yang, Yang Liu, Han Yu, 2020, IJCAI.

Federated Deep Reinforcement Learning

Qiang Yang, H. Zhuo, Wenfeng Feng, 2019, 1901.08277.

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

Yu Zhang, Qiang Yang, Guangneng Hu, 2018, UMCit@KDD.

Learning hierarchical task network domains from partially observed plan traces

Hector Muñoz-Avila, Qiang Yang, Hankui Zhuo, 2014, Artif. Intell..

Quantifying information and contradiction in propositional logic through test actions

Qiang Yang, Qiang Yang, S. Konieczny, 2009, IJCAI.

Learning-based localization in wireless and sensor networks

Qiang Yang, Junfeng Pan, Qiang Yang, 2007 .

Deep Visual-Semantic Hashing for Cross-Modal Retrieval

Philip S. Yu, Mingsheng Long, Qiang Yang, 2016, KDD.

The Next Breakthroughs of Artificial Intelligence: The Interdisciplinary Nature of AI

Xuelong Li, Fei Wu, Ming Cai, 2020 .

Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting pdf

Jieping Ye, Qiang Yang, Lingyu Zhang, 2019, Sustainability.

Protect, show, attend and tell: Empowering image captioning models with ownership protection

Qiang Yang, Jian Han Lim, Kam Woh Ng, 2020, Pattern Recognit..

Attention-Based Multimodal Entity Linking with High-Quality Images

Qiang Yang, Li Zhang, Zhixu Li, 2021, DASFAA.

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression pdf

Yuanming Shi, Tianjian Chen, Qiang Yang, 2019, ArXiv.

Federated learning for privacy-preserving AI

Tianjian Chen, Yang Liu, Qiang Yang, 2020, Commun. ACM.

Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks

Chunyan Miao, Zehui Xiong, H. Vincent Poor, 2020, IEEE Internet of Things Journal.

Network On Network for Tabular Data Classification in Real-world Applications

Hao Zhou, Qiang Yang, Wenyuan Dai, 2020, SIGIR.

Learning applicability conditions in AI planning from partial observations

Héctor Muñoz-Avila, Qiang Yang, Derek Hao Hu, 2009, IJCAI 2009.

Smart City Development With Urban Transfer Learning

Bin Guo, Qiang Yang, Leye Wang, 2018, Computer.

Transfer learning with open web data

Qiang Yang, Wei Xiang, Qiang Yang, 2012 .

Data science and AI in FinTech: an overview

Philip S. Yu, Qiang Yang, Longbing Cao, 2020, International Journal of Data Science and Analytics.

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications

Hao Zhou, Mengshuo Wang, Qiang Yang, 2019, KDD.

Enriching Context Information for Entity Linking with Web Data

Jie Shen, An Liu, Lei Zhao, 2020, Journal of Computer Science and Technology.

Selective Transfer Learning for Cross Domain Recommendation

Zhongqi Lu, Qiang Yang, Evan Wei Xiang, 2012, SDM.

Ranking oriented approach to context aware recommendation

Qiang Yang, Nan Liu, Qiang Yang, 2012 .

MGSim - Simulation tools for multi-core processor architectures pdf

Jian Fu, Chris R. Jesshope, Qiang Yang, 2013, ArXiv.

Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective

Yang Liu, Qiang Yang, Yilun Jin, 2020, 2002.11545.

A novel approach to simultaneously improve privacy, efficiency and reliability of federated DNN learning

Qiang Yang, Yan Kang, Hanlin Gu, 2021 .

Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness pdf

Lixin Fan, Yilun Jin, Qiang Yang, 2020, ArXiv.

Learning-based web query understanding

Dou Shen, Qiang Yang, Qiang Yang, 2007 .

Diverse Topic Phrase Extraction from Text Collection

Qiang Yang, Jilin Chen, Qiang Yang, 2006 .

Federated Machine Learning

Qiang Yang, Tianjian Chen, Yongxin Tong, 2019, ACM Trans. Intell. Syst. Technol..

Transfer Learning via Learning to Transfer

Yu Zhang, Ying Wei, Junzhou Huang, 2018, ICML.

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning pdf

Yang Liu, Yan Kang, Tianyuan Zou, 2021, ArXiv.

Federated Learning

Yang Liu, Qiang Yang, Han Yu, 2019, Synthesis Lectures on Artificial Intelligence and Machine Learning.

Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection pdf

Lixin Fan, Chee Seng Chan, Qiang Yang, 2020, ArXiv.

FedIPR: Ownership Verification for Federated Deep Neural Network Models

Qiang Yang, Hanlin Gu, Lixin Fan, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Transfer learning for WiFi-based indoor localization

Hao Hu, Jialin Pan, Wenchen Zheng, 2008, AAAI 2008.

A Gamified Research Tool for Incentive Mechanism Design in Federated Learning

Yang Liu, Qiang Yang, Han Yu, 2020, Federated Learning.

Get more Clicks

Evan Wei Xiang, Derek Hao Hu, Qiang Yang, 2009 .

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification

Yu Zhang, Qiang Yang, Ying Wei, 2019, AAAI.

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction

Hanqing Lu, Qiang Yang, Tianyu Cao, 2021, CIKM.

Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach

Yu Zheng, Qiang Yang, Yexin Li, 2018, KDD.

GoldenRetriever: A Speech Recognition System Powered by Modern Information Retrieval

Qian Xu, Qiang Yang, Yuanfeng Song, 2020, ACM Multimedia.

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks pdf

Lixin Fan, Chee Seng Chan, Qiang Yang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications pdf

Jiannong Cao, Zhengfei Zheng, Kai Chen, 2021, ArXiv.

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks pdf

Lixin Fan, Chee Seng Chan, Qiang Yang, 2020, Federated Learning.

Transfer Learning in Reinforcement Learning

Sinno Jialin Pan, Yu Zhang, Qiang Yang, 2020, Transfer Learning.

Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning pdf

Chunyan Miao, Dusit Niyato, Zehui Xiong, 2020, ArXiv.

Learning HTN Method Preconditions and Action Models from Partial Observations

Hector Muñoz-Avila, Qiang Yang, Derek Hao Hu, 2009, IJCAI.

Graph Random Neural Network pdf

Huanbo Luan, Yuxiao Dong, Jie Tang, 2020, ArXiv.

Transferring Knowledge Distillation for Multilingual Social Event Detection

Hao Peng, Qiang Yang, Yongxin Tong, 2021, ArXiv.

Mechanism Design for Multi-Party Machine Learning

Qiang Yang, Yang Liu, Pingzhong Tang, 2020, ArXiv.

Toward Responsible AI: An Overview of Federated Learning for User-centered Privacy-preserving Computing

Qiang Yang, 2021, ACM Trans. Interact. Intell. Syst..

MemTimes: Temporal Scoping of Facts with Memory Network

Siyuan Cao, Guanfeng Liu, Zhixu Li, 2020, DASFAA.

TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation pdf

Qiang Yang, Guangneng Hu, Qiang Yang, 2021, EACL.

SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning pdf

Qiang Yang, Qian Xu, Yan Kang, 2021, ArXiv.

RPN: A Residual Pooling Network for Efficient Federated Learning

Qiang Yang, Yang Liu, Tianjian Chen, 2020, ECAI.

Multiple Interaction Attention Model for Open-World Knowledge Graph Completion

Pengpeng Zhao, Jiajie Xu, Junhua Fang, 2020, WISE.

L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition

Raymond Chi-Wing Wong, Qiang Yang, Qian Xu, 2021, ACM Multimedia.

CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction

Qiang Yang, Jieping Ye, Leye Wang, 2019 .

Fair and Explainable Dynamic Engagement of Crowd Workers

Tianjian Chen, Yang Liu, Han Yu, 2019, IJCAI.

Mitigating Herding in Hierarchical Crowdsourcing Networks.

Chunyan Miao, Qiang Yang, Simon Fauvel, 2016, Scientific reports.

Learning action models for multi-agent planning

Hector Muñoz-Avila, Qiang Yang, Hankui Zhuo, 2011, AAMAS.

Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection

Chee Seng Chan, Jian Han Lim, Kam Woh Ng, 2020, ArXiv.

Geographical address representation learning for address matching

Qiang Yang, Guanfeng Liu, An Liu, 2020, World Wide Web.

Multi-Agent Visualization for Explaining Federated Learning

Tianjian Chen, Yang Liu, Han Yu, 2019, IJCAI.

L2RS

Qiang Yang, Qian Xu, R. C. Wong, 2021, Proceedings of the 29th ACM International Conference on Multimedia.

FedML: A Research Library and Benchmark for Federated Machine Learning

Hongyi Wang, R. Raskar, M. Annavaram, 2020, ArXiv.

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Wei Yang Bryan Lim, Nguyen Cong Luong, Qiang Yang, 2019, IEEE Communications Surveys & Tutorials.

Fisher Deep Domain Adaptation pdf

Yu Zhang, Kun Bai, Yangqiu Song, 2020, SDM.

Privacy Threats Against Federated Matrix Factorization pdf

Qiang Yang, Ce Ju, Dashan Gao, 2020, ArXiv.

Addressing the Challenges of Government Service Provision with AI

Chunyan Miao, Cyril Leung, Qiang Yang, 2020, AI Mag..

LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text pdf

Yu Zhang, Qiang Yang, Guangneng Hu, 2018, ArXiv.

Practical and Secure Federated Recommendation with Personalized Masks

Qiang Yang, V. Zheng, Liu Yang, 2021, FL@IJCAI.

Multi‐transfer: Transfer learning with multiple views and multiple sources

Evan Wei Xiang, Ben Tan, Erheng Zhong, 2014, Stat. Anal. Data Min..