Qiang Yang

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 284

Top Venues

CoRR

KDD

AAAI

ACM Trans. Intell. Syst. Technol.

Publications

Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. PAKDD (3) (2024)
Tao Fan, Yan Kang, Weijing Chen, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. CoRR (2024)
Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
Vertical Federated Learning: Concepts, Advances, and Challenges. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
Diversify: A General Framework for Time Series Out-of-Distribution Detection and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang
Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. ICDE (2024)
Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. CoRR (2024)
Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. CoRR (2024)
Di Chai, Junxue Zhang, Liu Yang, Yilun Jin, Leye Wang, Kai Chen, Qiang Yang
Efficient Decentralized Federated Singular Vector Decomposition. USENIX ATC (2024)
Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
Unlearning during Learning: An Efficient Federated Machine Unlearning Method. CoRR (2024)
Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR (2024)
Haoran Li, Xinyuan Zhao, Dadi Guo, Hanlin Gu, Ziqian Zeng, Yuxing Han, Yangqiu Song, Lixin Fan, Qiang Yang
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data. CoRR (2024)
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
A mechanism design approach for multi-party machine learning. Theor. Comput. Sci. 1003 (2024)
Yue Cui, Chung-ju Huang, Yuzhu Zhang, Leye Wang, Lixin Fan, Xiaofang Zhou, Qiang Yang
A Survey on Contribution Evaluation in Vertical Federated Learning. CoRR (2024)
Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. AAAI (2024)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR (2024)
Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. CoRR (2024)
Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 42 (5) (2024)
Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
The 13th International Workshop on Urban Computing. KDD (2024)
Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang
Learn to Cluster Faces with Better Subgraphs. ICASSP (2024)
Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang
PackVFL: Efficient HE Packing for Vertical Federated Learning. CoRR (2024)
Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang
Enhancing Security and Privacy in Federated Learning using Update Digests and Voting-Based Defense. CoRR (2024)
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
A Game-theoretic Framework for Privacy-preserving Federated Learning. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Qiao Xiao, Yu Zhang, Qiang Yang
Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Yuanqin He, Yan Kang, Lixin Fan, Qiang Yang
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. CoRR (2024)
Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324 (2023)
Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li
Federated Learning with Privacy-preserving and Model IP-right-protection. Int. J. Autom. Comput. 20 (1) (2023)
Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang
Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR (2023)
Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
Trading Off Privacy, Utility, and Efficiency in Federated Learning. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. PAKDD (2) (2023)
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR (2023)
Yi Zhu, Qiang Yang, Xinfa Mao
Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
A Survey on Evaluation of Large Language Models. CoRR (2023)
Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang
Distribution-Regularized Federated Learning on Non-IID Data. ICDE (2023)
Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324 (2023)
Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang
A Survey for Federated Learning Evaluations: Goals and Measures. CoRR (2023)
Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Xueyang Wu, Di Jiang, Yuanfeng Song, Qian Xu, Qiang Yang
Enhance Mono-modal Sentiment Classification with Federated Cross-modal Transfer. IEEE Data Eng. Bull. 46 (1) (2023)
Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. 41 (2) (2023)
Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Shen, Chunyan Miao
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges. IEEE Commun. Surv. Tutorials 25 (1) (2023)
Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. IEEE Wirel. Commun. 30 (4) (2023)
Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang
Learn to Cluster Faces with Better Subgraphs. CoRR (2023)
Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. CoRR (2023)
Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. CoRR (2023)
Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. IEEE Trans. Big Data 9 (2) (2023)
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
No Free Lunch Theorem for Security and Utility in Federated Learning. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. CoRR (2023)
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR (2023)
Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. CoRR (2023)
Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
The 12th International Workshop on Urban Computing. KDD (2023)
Yilun Jin, Kai Chen, Qiang Yang
Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. KDD (2023)
Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. AI Mag. 44 (1) (2023)
Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang
FedIPR: Ownership Verification for Federated Deep Neural Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yang, Min Tang, Penghui Hao
Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval. PAKDD (3) (2023)
Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. CoRR (2023)
Xueyang Wu, Shengqi Tan, Qian Xu, Qiang Yang
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning. CoRR (2022)
Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Trans. Intell. Syst. Technol. 13 (5) (2022)
Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. CoRR (2022)
Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Sherman Shen, Chunyan Miao
A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies, and Challenges. CoRR (2022)
Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
Vertical Federated Learning. CoRR (2022)
Di Jiang, Yuan Cao, Qiang Yang
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration. IJCAI (2022)
Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
Trading Off Privacy, Utility and Efficiency in Federated Learning. CoRR (2022)
Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. IEEE Trans. Signal Process. 70 (2022)
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR (2022)
Yichi Zhang, Chao Zhang, Cai Zhang, Lixin Fan, Bei Zeng, Qiang Yang
Federated Learning with Quantum Secure Aggregation. CoRR (2022)
Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang
Practical and Secure Federated Recommendation with Personalized Mask. FL@IJCAI (2022)
Di Chai, Leye Wang, Kai Chen, Qiang Yang
Efficient Federated Matrix Factorization Against Inference Attacks. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Han Tian, Chaoliang Zeng, Zhenghang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. IEEE Symposium on Security and Privacy (2022)
Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang
DeepIPR: Deep Neural Network Ownership Verification With Passports. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Yilun Jin, Kai Chen, Qiang Yang
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting. KDD (2022)
Yu Zhang, Qiang Yang
A Survey on Multi-Task Learning. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang
FadMan: Federated Anomaly Detection across Multiple Attributed Networks. CoRR (2022)
Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application. CoRR (2022)
Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. CoRR (2022)
Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. IJCAI (2022)
Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252 (2022)
Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. KDD (2022)
Jian Han Lim, Chee Seng Chan, KamWoh Ng, Lixin Fan, Qiang Yang
Protect, show, attend and tell: Empowering image captioning models with ownership protection. Pattern Recognit. 122 (2022)
Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang
Accelerating Vertical Federated Learning. CoRR (2022)
Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
Contribution-Aware Federated Learning for Smart Healthcare. AAAI (2022)
Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR (2022)
Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. CoRR (2022)
Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
A Mechanism Design Approach for Multi-party Machine Learning. FAW (2022)
Kevin Leyton-Brown, Mausam, Qiang Yang
The New Faculty Highlights Program at AAAI-21. AI Mag. 43 (4) (2022)
Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang
A Health-friendly Speaker Verification System Supporting Mask Wearing. AAAI (2021)
Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang
Social explorative attention based recommendation for content distribution platforms. Data Min. Knowl. Discov. 35 (2) (2021)
Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection. J. Mach. Learn. Res. 22 (2021)
Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang
Industrial Federated Topic Modeling. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
Shaoqi Chen, Dongyu Xue, Guohui Chuai, Qiang Yang, Qi Liu
FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery. Bioinform. 36 (22-23) (2021)
Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. CoRR (2021)
Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang
FedIPR: Ownership Verification for Federated Deep Neural Network Models. CoRR (2021)
Di Jiang, Conghui Tan, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong, Chang Liu, Qian Xu, Qiang Yang, Li Deng
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning. ACM Trans. Intell. Syst. Technol. 12 (3) (2021)
Guangneng Hu, Qiang Yang
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. CoRR (2021)
Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CIKM (2021)
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. KDD (2021)

Qiang Yang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Qiang Yang