百晓学者学者目录

杨强

副教授、教授、讲师,成都信息工程大学

精选作品

期刊论文

2026

Spiking Adapter for Event-Based Action Recognition

Qiang Yang, Guo-Wei Peng, Nan-Xin Zhang, Yu-Ning Yang, Xiu-Rui Xie

IEEE International Conference on Acoustics, Speech, and Signal Processing

2026

RSORA: Spiking-Inspired Low-Rank Adaptation for Noise-Robust Vision Transformers

Guo-Wei Peng, Yu-Ning Yang, Qiang Yang, Xiu-Rui Xie, Ma-Lu Zhang

IEEE International Conference on Acoustics, Speech, and Signal Processing

2025

基于特征交互式聚合的深度合成视频信息检测

吴树芳,杨强,朱杰

《情报杂志》,Vol. 44, No. 8

2025

ABAQUS二次开发在压电堆叠驱动器仿真中的应用

杨强,夏天飞,张葛祥,古奥,张力佳

《成都信息工程大学学报》

2025

基于最速函数的改进离散跟踪微分器设计

杨强,周玉林,张葛祥,杨强

《成都信息工程大学学报》

2025

Active Transfer Learning Strategy for Spiking Neural Networks

Yupeng Liu, Guo-Wei Peng, Cheng Zeng, Qiang Yang, Xiurui Xie

Mind

2023

基于SSI-GuidedLDA模型的引导式网络敏感信息识别研究

吴树芳,杨强,侯晓舟,尹萌

《情报杂志》,Vol. 42, No. 11

2022

Efficient Federated Matrix Factorization Against Inference Attacks

Di Chai, Le-Ye Wang, Kai Chen, Qiang Yang

ACM Transactions on Intelligent Systems and Technology

2022

FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features

Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tian-Jian Chen, Ming-Yi Hong, Qiang Yang

IEEE Transactions on Signal Processing

2022

The New Faculty Highlights Program at AAAI-21

Kevin Leyton-Brown, Mausam, Qiang Yang

The AI Magazine

2022

The 11th International Workshop on Urban Computing

Chui-Shi Meng, Yan-Hua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, O. Wolfson

Knowledge Discovery and Data Mining

2022

Contribution-Aware Federated Learning for Smart Healthcare

Ze-Lei Liu, Yuan-Yuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zai-Qing Nie, Qian Xu, Qiang Yang

AAAI Conference on Artificial Intelligence

2021

Self-supervised Cross-silo Federated Neural Architecture Search

Xinle Liang, Yang Liu, Jia-Huan Luo, Yuanqin He, Tian-Jian Chen, Qiang Yang

arXiv.org

2021

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

Weijing Chen, Guo-Qiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang

arXiv.org

2021

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning

Yang Liu, Zhi-qian Yi, Yan Kang, Yuan-Qin He, Wenhan Liu, Tianyuan Zou, Qiang Yang

arXiv.org

2021

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

Qiang Yang

ACM Trans. Interact. Intell. Syst.

2021

Towards Personalized Federated Learning

A. Tan, Han Yu, Li-zhen Cui, Qiang Yang

IEEE Transactions on Neural Networks and Learning Systems

2021

Practical and Secure Federated Recommendation with Personalized Masks

Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang

FL@IJCAI

2021

Federated Deep Learning with Bayesian Privacy

Han-Lin Gu, Li-Xin Fan, Bo-Wen Li, Yan Kang, Yuan Yao, Qiang Yang

arXiv.org

2021

Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability

Yan Kang, Yuan-Qin He, Jia-Huan Luo, Tao Fan, Yang Liu, Qiang Yang

IEEE Transactions on Big Data

2021

FLOP: Federated Learning on Medical Datasets using Partial Networks

Qiang Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, L. Carin

Knowledge Discovery and Data Mining

2021

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

Di Jiang, Conghui Tan, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong, Chang Liu, Qian Xu, Qiang Yang, Limei Deng

ACM Transactions on Intelligent Systems and Technology

2021

DeepIPR: Deep Neural Network Ownership Verification With Passports

Li-Xin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021

FedIPR: Ownership Verification for Federated Deep Neural Network Models

Bo-Wen Li, Li-Xin Fan, Han-Lin Gu, Jie Li, Qiang Yang

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021

Federated Singular Vector Decomposition

Di Chai, Leye Wang, Lian Fu, Junxue Zhang, Kai Chen, Qiang Yang

arXiv.org

2021

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks

Sheng-Ong Ding, Chee Seng Chan, Kam Woh Ng, Li-Xin Fan, Qiang Yang

Computer Vision and Pattern Recognition

2021

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

Han-Lin Gu, Li-Xin Fan, Bo-Wen Li, Yan Kang, Yuan Yao, Qiang Yang

2021

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

Yuezhou Wu, Yan Kang, Jia-Huan Luo, Yuan-Qin He, Li-Xin Fan, Rong Pan, Qiang Yang

International Joint Conference on Artificial Intelligence

2021

Industrial Federated Topic Modeling

Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang

ACM Transactions on Intelligent Systems and Technology

2021

StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing

Anbu Huang, Yang Liu, Tian-Jian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang

ACM Transactions on Intelligent Systems and Technology

2021

FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection

Yang Liu, Tao Fan, Tian-Jian Chen, Qian Xu, Qiang Yang

Journal of machine learning research

2021

基于联邦学习的推荐系统综述

Feng Liang, En-Yue Yang, Wei-Ke Pan, Qiang Yang, Ming Zhong

Scientia Sinica Informationis

2021

Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies

Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang

IEEE Transactions on Big Data

2020

Privacy-Preserving Transfer Learning

Qiang Yang, Yu Zhang, Wen-Yuan Dai, Sinno Jialin Pan

2020

Mechanism Design for Multi-Party Machine Learning

Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Ping-Zhong Tang, Qiang Yang

arXiv.org

2020

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

Yang Liu, Anbu Huang, Yu Luo, He Huang, Youzhi Liu, Yuan-Yuan Chen, Lican Feng, Tian-Jian Chen, Hang Yu, Qiang Yang

AAAI Conference on Artificial Intelligence

2020

A Multi-player Game for Studying Federated Learning Incentive Schemes

K. Ng, Zichen Chen, Ze-Lei Liu, Han Yu, Yang Liu, Qiang Yang

International Joint Conference on Artificial Intelligence

2020

Feature-Based Transfer Learning

Qiang Yang, Yu Zhang, Wen-Yuan Dai, Sinno Jialin Pan

Transfer Learning

2020

A Federated Recommender System for Online Services

Ben Tan, Bo Liu, V. Zheng, Qiang Yang

ACM Conference on Recommender Systems

2020

Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks

Wei Yang Bryan Lim, Zehui Xiong, C. Miao, D. Niyato, Qiang Yang, Cyril Leung, H. Poor

IEEE Internet of Things Journal

2020

A Survey towards Federated Semi-supervised Learning

Yilun Jin, Xi-Guang Wei, Yang Liu, Qiang Yang

arXiv.org

2020

Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning

Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, D. Niyato, Cyril Leung, C. Miao, Qiang Yang

arXiv.org

2020

A Sustainable Incentive Scheme for Federated Learning

Han Yu, Ze-Lei Liu, Yang Liu, Tian-Jian Chen, Mingshu Cong, Xi Weng, D. Niyato, Qiang Yang

IEEE Intelligent Systems

2020

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

Yilun Jin, Xi-Guang Wei, Yang Liu, Qiang Yang

2020

Model-Based Transfer Learning

Qiang Yang, Yu Zhang, Wen-Yuan Dai, Sinno Jialin Pan

Transfer Learning

2020

RPN: A Residual Pooling Network for Efficient Federated Learning

Anbu Huang, Yuan-Yuan Chen, Yang Liu, Tian-Jian Chen, Qiang Yang

European Conference on Artificial Intelligence

2020

Federated learning for privacy-preserving AI

Yong Cheng, Yang Liu, Tian-Jian Chen, Qiang Yang

Communications of the ACM

2020

Federated Learning: Privacy and Incentive

Qiang Yang, Lixin Fan, Han Yu

Federated Learning

2020

A Gamified Research Tool for Incentive Mechanism Design in Federated Learning

Zichen Chen, Ze-Lei Liu, K. Ng, Han Yu, Yang Liu, Qiang Yang

Federated Learning

2020

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

J. Lim, Chee Seng Chan, Kam Woh Ng, Li-Xin Fan, Qiang Yang

Pattern Recognition

2020

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

Shaoqi Chen, Dongyu Xue, Guohui Chuai, Qiang Yang, Qi Liu

bioRxiv

2020

Privacy and Robustness in Federated Learning: Attacks and Defenses

L. Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu

IEEE Transactions on Neural Networks and Learning Systems

2020

Privacy Threats Against Federated Matrix Factorization

Da-Shan Gao, Ben Tan, Ce Ju, V. Zheng, Qiang Yang

arXiv.org

2020

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

Lixin Fan, Kam Woh Ng, Ce Ju, Tian-Yu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang

Federated Learning

2020

Introduction to the Special Issue on Federated Machine Learning

Yang Liu, Han Yu, Qiang Yang

IEEE Intelligent Systems

2020

FedML: A Research Library and Benchmark for Federated Machine Learning

Chaoyang He, Song-Ze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Pei-Lin Zhao, Yan Kang, Yang Liu, R. Raskar, Qiang Yang, M. Annavaram, A. Avestimehr

arXiv.org

2020

A Secure Federated Transfer Learning Framework

Yang Liu, Yan Kang, C. Xing, Tian-Jian Chen, Qiang Yang

IEEE Intelligent Systems

2020

A Fairness-aware Incentive Scheme for Federated Learning

Han Yu, Ze-Lei Liu, Yang Liu, Tian-Jian Chen, Mingshu Cong, Xi Weng, D. Niyato, Qiang Yang

AAAI/ACM Conference on AI, Ethics, and Society

2020

Threats to Federated Learning

L. Lyu, Han Yu, Jun Zhao, Qiang Yang

Federated Learning

2020

AutoTL: Learning to Transfer Automatically

Qiang Yang, Yu Zhang, Wen-Yuan Dai, Sinno Jialin Pan

Transfer Learning

2020

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

Di Chai, Leye Wang, Kai Chen, Qiang Yang

arXiv.org

2019

Advances and Open Problems in Federated Learning

Peter Kairouz, H. B. McMahan, Brendan Avent, A. Bellet, M. Bennis, A. Bhagoji, Kallista A. Bonawitz, Zachary B. Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, S. E. El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, A. Gascón, Badih Ghazi, Phillip B. Gibbons, M. Gruteser, Z. Harchaoui, Chaoyang He, Lie He, Zhou-Yuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, T. Javidi, Gauri Joshi, M. Khodak, Jakub Konecný, A. Korolova, F. Koushanfar, O. Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, M. Mohri, R. Nock, Ayfer Özgür, R. Pagh, Hang Qi, Daniel Ramage, R. Raskar, Mariana Raykova, D. Song, Wei-Kang Song, Sebastian U. Stich, Ziteng Sun, A. Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

Found. Trends Mach. Learn.

2019

A Communication Efficient Vertical Federated Learning Framework

Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tian-Jian Chen, Ming-Yi Hong, Qiang Yang

arXiv.org

2019

Federated Reinforcement Learning

Han-Kui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin

arXiv.org

2019

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

Kairan Yang, Tao Fan, Tian-Jian Chen, Yuan-Ming Shi, Qiang Yang

arXiv.org

2019

Federated Transfer Reinforcement Learning for Autonomous Driving

Xinle Liang, Yang Liu, Tian-Jian Chen, Ming Liu, Qiang Yang

arXiv.org

2019

Federated Machine Learning

Qiang Yang, Yang Liu, Tian-Jian Chen, Yongxin Tong

ACM Transactions on Intelligent Systems and Technology

2019

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography

Da-Shan Gao, Ce Ju, Xi-Guang Wei, Yang Liu, Tian-Jian Chen, Qiang Yang

arXiv.org

2019

Secure Federated Matrix Factorization

Di Chai, Le-Ye Wang, Kai Chen, Qiang Yang

IEEE Intelligent Systems

2019

Real-World Image Datasets for Federated Learning

Jia-Huan Luo, Xueyang Wu, Yu Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang

arXiv.org

2019

Federated Learning

Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tian-Jian Chen, Han Yu

Synthesis Lectures on Artificial Intelligence and Machine Learning

2019

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

Di Chai, Leye Wang, Kai Chen, Qiang Yang

2019

Multi-Agent Visualization for Explaining Federated Learning

Xi-Guang Wei, Quan Li, Yang Liu, Han Yu, Tian-Jian Chen, Qiang Yang

International Joint Conference on Artificial Intelligence

2019

Privacy-preserving Heterogeneous Federated Transfer Learning

Da-Shan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang

2019 IEEE International Conference on Big Data (Big Data)

2019

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Wei Yang Bryan Lim, Luong Cong Nguyen, D. Hoang, Yu-Tao Jiao, Ying-Chang Liang, Qiang Yang, D. Niyato, C. Miao

IEEE Communications Surveys and Tutorials

2019

Federated Topic Modeling

Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang

International Conference on Information and Knowledge Management

2019

Transfer Learning with Dynamic Distribution Adaptation

Jin-Dong Wang, Yi-Qiang Chen, Wen-Jie Feng, Han Yu, Meiyu Huang, Qiang Yang

ACM Transactions on Intelligent Systems and Technology

2019

Easy Transfer Learning By Exploiting Intra-Domain Structures

Jin-Dong Wang, Yi-Qiang Chen, Han Yu, Meiyu Huang, Qiang Yang

IEEE International Conference on Multimedia and Expo

2019

AutoML @ NeurIPS 2018 challenge: Design and Results

Hugo Jair Escalante, Wei-Wei Tu, Isabelle M Guyon, Daniel L. Silver, E. Viegas, Yuqiang Chen, Wen-Yuan Dai, Qiang Yang

The NeurIPS '18 Competition

2019

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction

Xia-Wei Guo, Quanming Yao, J. Kwok, Wei-Wei Tu, Yuqiang Chen, Wen-Yuan Dai, Qiang Yang

International Joint Conference on Artificial Intelligence

2019

Ridesharing car detection by transfer learning

Leye Wang, Xu Geng, Xiaojuan Ma, Da-Qing Zhang, Qiang Yang

Artificial Intelligence

2019

Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text

Guangneng Hu, Yu Zhang, Qiang Yang

The Web Conference

2019

Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective

George Trimponias, Xiaojuan Ma, Qiang Yang

The Web Conference

2019

Efficient and Effective Express via Contextual Cooperative Reinforcement Learning

Yexin Li, Yu Zheng, Qiang Yang

Knowledge Discovery and Data Mining

2019

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction

Wenyi Xiao, Huan Zhao, Haojie Pan, Yang-Qiu Song, V. Zheng, Qiang Yang

Knowledge Discovery and Data Mining

2019

State of the Journal

Qiang Yang

IEEE Transactions on Big Data

2019

Transfer to Rank for Heterogeneous One-Class Collaborative Filtering

Wei-Ke Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Ming Zhong

ACM Trans. Inf. Syst.

2019

Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I

Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang

Pacific-Asia Conference on Knowledge Discovery and Data Mining

2019

Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion

Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wen-Yuan Dai

AAAI Conference on Artificial Intelligence

2019

Learning to Transfer Examples for Partial Domain Adaptation

Zhangjie Cao, Kaichao You, Mingsheng Long, Jian-Min Wang, Qiang Yang

Computer Vision and Pattern Recognition

2019

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation

Hong Liu, Zhangjie Cao, Mingsheng Long, Jian-Min Wang, Qiang Yang

Computer Vision and Pattern Recognition

2019

SecureBoost: A Lossless Federated Learning Framework

Ke-Wei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tian-Jian Chen, Dimitrios Papadopoulos, Qiang Yang

IEEE Intelligent Systems

2018

考虑参数摄动的永磁同步电机转速跟踪控制器设计

杨强,冉杰,范泽宇,林嘉权,蒋玉龙

《成都信息工程大学学报》

2018

Transfer Learning via Learning to Transfer

Ying Wei, Yu Zhang, Jun-Zhou Huang, Qiang Yang

International Conference on Machine Learning

2018

Privacy-preserving Transfer Learning for Knowledge Sharing

Xia-Wei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wen-Yuan Dai, Qiang Yang

arXiv.org

2018

Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning

Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang

arXiv.org

2018

Parameter Transfer Unit for Deep Neural Networks

Yinghua Zhang, Yu Zhang, Qiang Yang

Pacific-Asia Conference on Knowledge Discovery and Data Mining

2018

SmartHS: An AI Platform for Improving Government Service Provision

Yongqing Zheng, Han Yu, Li-zhen Cui, C. Miao, Cyril Leung, Qiang Yang

AAAI Conference on Artificial Intelligence

2018

Millionaire: a hint-guided approach for crowdsourcing

Bo Han, Quanming Yao, Yuangang Pan, I. Tsang, Xiao-Kui Xiao, Qiang Yang, Masashi Sugiyama

Machine-mediated learning

2018

Building Ethics into Artificial Intelligence

Han Yu, Zhi-Qi Shen, C. Miao, Cyril Leung, V. Lesser, Qiang Yang

International Joint Conference on Artificial Intelligence

2018

Transferable Contextual Bandit for Cross-Domain Recommendation

Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang

AAAI Conference on Artificial Intelligence

2018

MTNet: A Neural Approach for Cross-Domain Recommendation with Unstructured Text

Guangneng Hu, Yu Zhang, Qiang Yang

2017

When Deep Learning Meets Transfer Learning

Qiang Yang

International Conference on Information and Knowledge Management

2017

Distant Domain Transfer Learning

Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang

AAAI Conference on Artificial Intelligence

2017

Big Data

Wei-Ke Pan, Qiang Yang, C. Aggarwal, Christoph Koch

2017

A unified framework of active transfer learning for cross-system recommendation

Lili Zhao, Sinno Jialin Pan, Qiang Yang

Artificial Intelligence

2017

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms

Yongxin Tong, Yuqiang Chen, Zi-Mu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv

Knowledge Discovery and Data Mining

2017

Deep Neural Networks for High Dimension, Low Sample Size Data

Bo Liu, Ying Wei, Yu Zhang, Qiang Yang

International Joint Conference on Artificial Intelligence

2017

A Survey on Multi-Task Learning

Yu Zhang, Qiang Yang

IEEE Transactions on Knowledge and Data Engineering

2017

Transfer Learning for Behavior Ranking

Wei-Ke Pan, Qiang Yang, Yuchao Duan, Ben Tan, Ming Zhong

ACM Transactions on Intelligent Systems and Technology

2017

Understanding How Feature Structure Transfers in Transfer Learning

Tong-Liang Liu, Qiang Yang, D. Tao

International Joint Conference on Artificial Intelligence

2017

State of the Journal Editorial

Qiang Yang

IEEE Transactions on Big Data

2017

Learning Sparse Task Relations in Multi-Task Learning

Yu Zhang, Qiang Yang

AAAI Conference on Artificial Intelligence

2017

Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation

Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Wei-Ke Pan, Qiang Yang, Ming Zhong

RecSysKTL

2017

Learning to Transfer

Ying Wei, Yu Zhang, Qiang Yang

arXiv.org

2016

Partially Observable Markov Decision Process for Recommender Systems

Zhongqi Lu, Qiang Yang

arXiv.org

2016

Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning

Ying Wei, Yingke Zhu, C. Leung, Yang-Qiu Song, Qiang Yang

AAAI Conference on Artificial Intelligence

2016

Transfer Learning for Semisupervised Collaborative Recommendation

Wei-Ke Pan, Qiang Yang, Yuchao Duan, Ming Zhong

TIIS

2016

Multi-Domain Active Learning for Recommendation

Zihan Zhang, Xiaoming Jin, Lianghao Li, Gui-Guang Ding, Qiang Yang

AAAI Conference on Artificial Intelligence

2016

Infusing Human Factors into Algorithmic Crowdsourcing

Han Yu, C. Miao, Zhi-Qi Shen, Jun Lin, Cyril Leung, Qiang Yang

AAAI Conference on Artificial Intelligence

2016

Telco User Activity Level Prediction with Massive Mobile Broadband Data

Chen Luo, Jia Zeng, Ming-Xuan Yuan, Wen-Yuan Dai, Qiang Yang

ACM Transactions on Intelligent Systems and Technology

2016

Collaborative Evolution for User Profiling in Recommender Systems

Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang

International Joint Conference on Artificial Intelligence

2016

Matrix Factorization+ for Movie Recommendation

Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang

International Joint Conference on Artificial Intelligence

2016

Cross-Domain Data Fusion

Qiang Yang

Computer

2016

Heterogeneous Translated Hashing

Ying Wei, Yang-Qiu Song, Yi Zhen, Bo Liu, Qiang Yang

ACM Transactions on Knowledge Discovery from Data

2016

Transfer Knowledge between Cities

Ying Wei, Yu Zheng, Qiang Yang

Knowledge Discovery and Data Mining

2015

User Modeling in Telecommunications and Internet Industry

Qiang Yang

Knowledge Discovery and Data Mining

2015

Proceedings of the 24th International Conference on Artificial Intelligence

Qiang Yang, M. Wooldridge

2015

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, 25-31 July 2015

Qiang Yang, M. Wooldridge

International Joint Conference on Artificial Intelligence

2015

Introduction to the IEEE Transactions on Big Data

Qiang Yang

IEEE Transactions on Big Data

2015

Efficient Task Sub-Delegation for Crowdsourcing

Han Yu, C. Miao, Zhi-Qi Shen, Cyril Leung, Yiqiang Chen, Qiang Yang

AAAI Conference on Artificial Intelligence

2015

Telco Churn Prediction with Big Data

Yiqing Huang, Fangzhou Zhu, Ming-Xuan Yuan, K. Deng, Yan-Hua Li, Bing Ni, Wen-Yuan Dai, Qiang Yang, Jia Zeng

SIGMOD Conference

2015

Sampling Big Trajectory Data

Yan-Hua Li, Chi-Yin Chow, Ke Deng, Ming-Xuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang

International Conference on Information and Knowledge Management

2015

Differential Privacy in Telco Big Data Platform

X. Hu, Ming-Xuan Yuan, Jian-Guo Yao, Yu Deng, Lei Chen, Qiang Yang, Hai-Bing Guan, Jia Zeng

Proceedings of the VLDB Endowment

2015

The Lifecycle and Cascade of WeChat Social Messaging Groups

Jie-Zhong Qiu, Yi-Xuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, J. Hopcroft

The Web Conference

2015

RAIN: Social Role-Aware Information Diffusion

Yang Yang, Jie Tang, C. Leung, Yizhou Sun, Qicong Chen, Juan-Zi Li, Qiang Yang

AAAI Conference on Artificial Intelligence

2015

Content-Based Collaborative Filtering for News Topic Recommendation

Zhongqi Lu, Zhicheng Dou, Jian-Xun Lian, Xing Xie, Qiang Yang

AAAI Conference on Artificial Intelligence

2015

Transitive Transfer Learning

Ben Tan, Yang-Qiu Song, Erheng Zhong, Qiang Yang

Knowledge Discovery and Data Mining

2014

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

Ben Tan, Erheng Zhong, E. Xiang, Qiang Yang

Statistical analysis and data mining

2014

Adaptive User Distance Modeling in Social Media

Erheng Zhong, Wei Fan, Qiang Yang

SDM

2014

Action-model acquisition for planning via transfer learning

Han-Kui Zhuo, Qiang Yang

Artificial Intelligence

2014

Mixed-Transfer: Transfer Learning over Mixed Graphs

Ben Tan, Erheng Zhong, M. Ng, Qiang Yang

SDM

2014

Bird Flu Outbreak Prediction via Satellite Tracking

Yuanchun Zhou, MingJie Tang, Wei-Ke Pan, Jin-Yan Li, Weihang Wang, Jing Shao, Liang Wu, Jian-Hui Li, Qiang Yang, Baoping Yan

IEEE Intelligent Systems

2014

Friendship Prediction in Composite Social Networks

Erheng Zhong, E. Xiang, Wei Fan, N. Liu, Qiang Yang

arXiv.org

2014

Scalable heterogeneous translated hashing

Ying Wei, Yang-Qiu Song, Yi Zhen, Bo Liu, Qiang Yang

Knowledge Discovery and Data Mining

2014

Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning

Jingrui He, Yan Liu, Qiang Yang

SDM

2014

User behavior learning and transfer in composite social networks

Erheng Zhong, Wei Fan, Qiang Yang

ACM Transactions on Knowledge Discovery from Data

2014

OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data

Ming-Xuan Yuan, K. Deng, Jia Zeng, Yan-Hua Li, Bing Ni, Xiu-Qiang He, Fei Wang, Wen-Yuan Dai, Qiang Yang

Proceedings of the VLDB Endowment

2013

Big data, lifelong machine learning and transfer learning

Qiang Yang

Web Search and Data Mining

2013

Seventh ACM Conference on Recommender Systems: Proceedings

Qiang Yang, Irwin King, Qing Li, P. Pu, G. Karypis

ACM Conference on Recommender Systems

2013

Lifelong Machine Learning Systems: Beyond Learning Algorithms

Daniel L. Silver, Qiang Yang, Lianghao Li

AAAI Spring Symposium: Lifelong Machine Learning

2013

Transfer learning in heterogeneous collaborative filtering domains

Wei-Ke Pan, Qiang Yang

Artificial Intelligence

2013

Predicting user activity level in social networks

Yingke Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, Qiang Yang

International Conference on Information and Knowledge Management

2013

Modeling the dynamics of composite social networks

Erheng Zhong, Wei Fan, Yingke Zhu, Qiang Yang

Knowledge Discovery and Data Mining

2013

General Functional Matrix Factorization Using Gradient Boosting

Tianqi Chen, Hang Li, Qiang Yang, Yong Yu

International Conference on Machine Learning

2013

Artificial Intelligence on Mobile Devices: An Introduction to the Special Issue

Qiang Yang, Feng Zhao

The AI Magazine

2013

Collaborative boosting for activity classification in microblogs

Yang-Qiu Song, Zheng-Dong Lu, C. Leung, Qiang Yang

Knowledge Discovery and Data Mining

2013

User demographics prediction based on mobile data

Erheng Zhong, Ben Tan, Kaixiang Mo, Qiang Yang

Pervasive and Mobile Computing

2013

Cross-task crowdsourcing

Kaixiang Mo, Erheng Zhong, Qiang Yang

Knowledge Discovery and Data Mining

2013

Active Transfer Learning for Cross-System Recommendation

Lili Zhao, Sinno Jialin Pan, E. Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang

AAAI Conference on Artificial Intelligence

2013

Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels

Kai Zhang, V. Zheng, Qiao-Jun Wang, J. Kwok, Qiang Yang, I. Marsic

International Conference on Machine Learning

2012

Transfer learning with open web data

Qiang Yang, Weiming Xiang

2012

Transfer Learning with Graph Co-Regularization

Mingsheng Long, Jian-Min Wang, Gui-Guang Ding, Dou Shen, Qiang Yang

IEEE Transactions on Knowledge and Data Engineering

2012

Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach

Tengfei Bao, Huan-Huan Cao, Qiang Yang, En-Hong Chen, Ji-Lei Tian

2012 IEEE 13th International Conference on Mobile Data Management

2012

Transfer Learning and Applications

Qiang Yang

IFIP International Conference on Intelligent Information Processing

2012

Discovering Spammers in Social Networks

Yingke Zhu, Xiao Wang, Erheng Zhong, N. Liu, He Li, Qiang Yang

AAAI Conference on Artificial Intelligence

2012

Social recommendation across multiple relational domains

Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wen-Wu Zhu, Shi-Qiang Yang

International Conference on Information and Knowledge Management

2012

A habit mining approach for discovering similar mobile users

Haiping Ma, Huan-Huan Cao, Qiang Yang, En-Hong Chen, Ji-Lei Tian

The Web Conference

2012

SMS Spam Detection Using Noncontent Features

Qian Xu, E. Xiang, Qiang Yang, Jiachun Du, Jieping Zhong

IEEE Intelligent Systems

2012

Social contextual recommendation

Meng Jiang, Peng Cui, R. Liu, Qiang Yang, Fei Wang, Wen-Wu Zhu, Shi-Qiang Yang

International Conference on Information and Knowledge Management

2012

A conversation with the Chinese KDD leaders

Qiang Yang

SKDD

2012

Discriminative Factor Alignment across Heterogeneous Feature Space

Fangwei Hu, Tianqi Chen, N. Liu, Qiang Yang, Yong Yu

ECML/PKDD

2012

Action-Model Based Multi-agent Plan Recognition

Han-Kui Zhuo, Qiang Yang, S. Kambhampati

Neural Information Processing Systems

2012

Contextual Collaborative Filtering via Hierarchical Matrix Factorization

Erheng Zhong, Wei Fan, Qiang Yang

SDM

2012

Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models

Zhao Zheng, Tianqi Chen, N. Liu, Qiang Yang, Yong Yu

KDD Cup

2012

Towards mobile intelligence: Learning from GPS history data for collaborative recommendation

V. Zheng, Yu Zheng, Xing Xie, Qiang Yang

Artificial Intelligence

2012

Journal of Computational Science and Technology: Preface

Qiang Yang, Jie Tang, Lei Zhang, Bin Cao

Journal of Computational Science and Technology

2012

Introduction to the Special Section on the 2nd Asia Conference on Machine Learning (ACML 2010)

Masashi Sugiyama, Qiang Yang

TIST

2012

A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach

Tengfei Bao, Huan-Huan Cao, Qiang Yang, En-Hong Chen, Ji-Lei Tian

2012 IEEE 13th International Conference on Mobile Data Management

2012

Surrounding context and episode awareness using dynamic Bluetooth data

Yi-Qiang Chen, Zhen-Yu Chen, Jun-Fa Liu, D. Hu, Qiang Yang

Ubiquitous Computing

2011

Active Dual Collaborative Filtering with Both Item and Attribute Feedback

Lu-Heng He, N. Liu, Qiang Yang

AAAI Conference on Artificial Intelligence

2011

Transfer Learning by Reusing Structured Knowledge

Qiang Yang, V. Zheng, Bin Li, Han-Kui Zhuo

The AI Magazine

2011

Introduction to special issue on computational sustainability

C. Gomes, Qiang Yang

TIST

2011

Introduction to the special issue on intelligent systems for activity recognition

Da-Qing Zhang, Matthai Philipose, Qiang Yang

TIST

2011

Bayesian nonparametric modeling of user activities

Yingke Zhu, Yuki Arase, Xing Xie, Qiang Yang

TDMA '11

2011

Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization

Bin Cao, Qiang Yang, Jian-Tao Sun, Zheng Chen

Data mining and knowledge discovery

2011

Inferring Taxi Status Using GPS Trajectories

Yingke Zhu, Yu Zheng, Liuhang Zhang, Darshan Santani, Xing Xie, Qiang Yang

arXiv.org

2011

Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009)

J. Pei, João Gama, Qiang Yang, Rong-Huai Huang, Xue Li

Knowledge and Information Systems

2010

Construction of Network Management Information System of Agricultural Products Supply Chain Based on 3PLs

Shujin Gao, Qiang Yang

2010

Feature-based transfer learning with real-world applications

Qiang Yang, Jialin Pan

2009

Heterogeneous Transfer Learning with Real-world Applications

Qiang Yang

Annual Meeting of the Association for Computational Linguistics

2009

Heterogeneous Transfer Learning ACL-IJCNLP 2009 Invited Talk

Qiang Yang

此主页由公开资料整理,尚未经学者本人认领。