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ORCIDQiang Yang 0001
楊強
Person information
- unicode name: 楊強
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science, Kowloon, Hong Kong
- affiliation (former): Simon Fraser University, Burnaby, BC, Canada
- affiliation (former): University of Waterloo, Waterloo, Ontario, Canada
Other persons with the same name
- Qiang Yang — disambiguation page
- Qiang Yang 0002 — Shandong University of Science and Technology, China
- Qiang Yang 0003
![[0000-0002-6570-1516]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6570-1516")
— Harbin Institute of Technology, China - Qiang Yang 0004 — Zhejiang University, College of Electrical Engineering, Hangzhou, China (and 4 more)
- Qiang Yang 0005 — Jilin University, Changchun Jilin, China
- Qiang Yang 0006 — University of Amsterdam, The Netherlands
- Qiang Yang 0007 — Yangtze University, College of Computer Science, JingZhou, China
- Qiang Yang 0008 — Nanjing University of Information Science and Technology, School of Artificial Intelligence, China (and 2 more)
- Qiang Yang 0009 — Tsinghua University, State Key Laboratory of Hydroscience and Hydraulic Engineering, Beijing, China
- Qiang Yang 0010 — Sun Yat-sen University, School of Information Science and Technology, China
- Qiang Yang 0011 — University of Manchester, UK
- Qiang Yang 0012 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, China
- Qiang Yang 0013 — Huazhong University of Science and Technology (HUST), Wuhan, China
- Qiang Yang 0014 — Northeastern University, Shenyang, China
- Qiang Yang 0015 — University of Florida, Department of Health Outcomes and Biomedical Informatics, Gainesville, FL, USA (and 2 more)
- Qiang Yang 0016 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Qiang Yang 0017 — Chongqing Jiaotong University, China (and 1 more)
- Qiang Yang 0018 — Hong Kong Polytechnic University (and 1 more)
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2020 – today
- 2025
[j219]Qianxue Guo, Yasha He, Qian Li, Anfeng Liu, Neal N. Xiong, Qian He, Qiang Yang, Shaobo Zhang:
PPAT: An effective scheme ensuring privacy-preserving, accuracy, and trust for worker selection in mobile crowdsensing networks. Future Gener. Comput. Syst. 163: 107536 (2025)- [j218]Qiang Yang, Han Yu, Sin G. Teo, Bo Li, Guodong Long, Chao Jin, Lixin Fan, Yang Liu, Le Zhang:
Guest Editorial: Special Issue on Trustworthy Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 5 (2025) - 2024
- [j217]Shijie Chen, Yu Zhang, Qiang Yang:
Multi-Task Learning in Natural Language Processing: An Overview. ACM Comput. Surv. 56(12): 295:1-295:32 (2024) - [j216]Qiao Xiao, Yu Zhang, Qiang Yang:
Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4476-4488 (2024) - [j215]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): 4534-4550 (2024) - [j214]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): 5905-5920 (2024) - [j213]Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang:
Accelerating Vertical Federated Learning. IEEE Trans. Big Data 10(6): 752-760 (2024) - [j212]Yan Kang, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang:
Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability. IEEE Trans. Big Data 10(6): 879-890 (2024) - [j211]Tianyuan Zou, Yang Liu, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang, Ya-Qin Zhang:
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. IEEE Trans. Big Data 10(6): 1016-1027 (2024) - [j210]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: 114618 (2024) - [j209]Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang:
A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting. IEEE Trans. Image Process. 33: 6633-6646 (2024) - [j208]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): 39:1-39:45 (2024) - [j207]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): 52:1-52:35 (2024) - [j206]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): 55:1-55:36 (2024) - [j205]Zhitao Li, Zhaohao Lin, Feng Liang, Weike Pan, Qiang Yang, Zhong Ming:
Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. ACM Trans. Intell. Syst. Technol. 15(4): 77:1-77:23 (2024) - [j204]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 a Constrained Multi-Objective Federated Learning Framework. ACM Trans. Intell. Syst. Technol. 15(6): 134:1-134:33 (2024) - [j203]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): 3615-3634 (2024) - [j202]Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang:
A Survey for Federated Learning Evaluations: Goals and Measures. IEEE Trans. Knowl. Data Eng. 36(10): 5007-5024 (2024) - [j201]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): 8726-8746 (2024) - [j200]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): 125:1-125:50 (2024) - [c368]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: 19832-19839 - [c367]Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang:
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. ECCV (30) 2024: 303-319 - [c366]Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang:
Learn to Cluster Faces with Better Subgraphs. ICASSP 2024: 2780-2784 - [c365]Wenrui Li, Hanlin Gu, Sheng Wan, Zhirong Luan, Wei Xi, Lixin Fan, Qiang Yang, Badong Chen:
Byzantine Robust Aggregation in Federated Distillation with Adversaries. ICDCS 2024: 881-890 - [c364]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: 2231-2244 - [c363]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. ICML 2024 - [c362]Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang:
Unlearning during Learning: An Efficient Federated Machine Unlearning Method. IJCAI 2024: 4035-4043 - [c361]Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming:
A Survey on Cross-Domain Sequential Recommendation. IJCAI 2024: 7989-7998 - [c360]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: 6727-6728 - [c359]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: 237-249 - [c358]Dashan Gao, Canhui Wu, Xiaojin Zhang, Xin Yao, Qiang Yang:
Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning. ECML/PKDD (1) 2024: 212-229 - [c357]Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang:
Label Privacy Source Coding in Vertical Federated Learning. ECML/PKDD (1) 2024: 313-331 - [c356]Di Chai, Junxue Zhang, Liu Yang, Yilun Jin, Leye Wang, Kai Chen, Qiang Yang:
Efficient Decentralized Federated Singular Vector Decomposition. USENIX ATC 2024: 1029-1047 - [i149]Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming:
A Survey on Cross-Domain Sequential Recommendation. CoRR abs/2401.04971 (2024) - [i148]Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang:
Evaluating Membership Inference Attacks and Defenses in Federated Learning. CoRR abs/2402.06289 (2024) - [i147]Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang:
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. CoRR abs/2404.04490 (2024) - [i146]Yuanqin He, Yan Kang, Lixin Fan, Qiang Yang:
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. CoRR abs/2404.12273 (2024) - [i145]Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang:
Advances and Open Challenges in Federated Learning with Foundation Models. CoRR abs/2404.15381 (2024) - [i144]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 abs/2405.00482 (2024) - [i143]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 abs/2405.02364 (2024) - [i142]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 abs/2405.14212 (2024) - [i141]Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang:
Unlearning during Learning: An Efficient Federated Machine Unlearning Method. CoRR abs/2405.15474 (2024) - [i140]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 abs/2405.18802 (2024) - [i139]Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang:
No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR abs/2405.20681 (2024) - [i138]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 abs/2406.01085 (2024) - [i137]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 abs/2406.02224 (2024) - [i136]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 abs/2406.12403 (2024) - [i135]Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang:
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR abs/2407.00478 (2024) - [i134]Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang:
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. CoRR abs/2409.01128 (2024) - [i133]Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao, Qiang Yang:
FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning. CoRR abs/2410.06490 (2024) - [i132]Xinyuan Zhao, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han:
Disentangling data distribution for Federated Learning. CoRR abs/2410.12530 (2024) - [i131]Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin:
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. CoRR abs/2410.20745 (2024) - [i130]Tao Fan, Yan Kang, Guoqiang Ma, Lixin Fan, Kai Chen, Qiang Yang:
FedCoLLM: A Parameter-Efficient Federated Co-tuning Framework for Large and Small Language Models. CoRR abs/2411.11707 (2024) - [i129]Guowei Wu, Weike Pan, Qiang Yang, Zhong Ming:
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation. CoRR abs/2412.01141 (2024) - 2023
- [j199]Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324: 103992 (2023) - [j198]Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming:
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324: 103996 (2023) - [j197]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): 4-15 (2023) - [j196]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): 656-700 (2023) - [j195]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): 158-169 (2023) - [j194]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): 19-37 (2023) - [j193]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): 105 (2023) - [j192]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): 4521-4536 (2023) - [j191]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): 437-454 (2023) - [j190]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): 1:1-1:35 (2023) - [j189]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): 98:1-98:32 (2023) - [j188]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): 58:1-58:28 (2023) - [j187]Zhen Xu, Quanming Yao, Yong Li, Qiang Yang:
Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [j186]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9587-9603 (2023) - [j185]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): 40:1-40:37 (2023) - [j184]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): 64-71 (2023) - [c355]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: 2113-2125 - [c354]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI 2023: 3759-3767 - [c353]Yilun Jin, Kai Chen, Qiang Yang:
Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. KDD 2023: 1032-1043 - [c352]Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 12th International Workshop on Urban Computing. KDD 2023: 5874-5875 - [c351]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: 86-98 - [c350]Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang:
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. PAKDD (2) 2023: 415-427 - [i128]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR abs/2301.12623 (2023) - [i127]Yilun Jin, Yang Liu, Kai Chen, Qiang Yang:
Federated Learning without Full Labels: A Survey. CoRR abs/2303.14453 (2023) - [i126]Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang:
Probably Approximately Correct Federated Learning. CoRR abs/2304.04641 (2023) - [i125]Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang:
A Game-theoretic Framework for Federated Learning. CoRR abs/2304.05836 (2023) - [i124]Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang:
Learn to Cluster Faces with Better Subgraphs. CoRR abs/2304.10831 (2023) - [i123]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 abs/2305.00312 (2023) - [i122]Xiaojin Zhang, Kai Chen, Qiang Yang:
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion. CoRR abs/2305.04288 (2023) - [i121]Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang:
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. CoRR abs/2305.04507 (2023) - [i120]Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao:
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. CoRR abs/2305.06085 (2023) - [i119]Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang:
Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR abs/2305.15148 (2023) - [i118]Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang:
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. CoRR abs/2305.18400 (2023) - [i117]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 abs/2307.03109 (2023) - [i116]Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang:
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. CoRR abs/2307.10579 (2023) - [i115]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. CoRR abs/2308.02282 (2023) - [i114]Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang:
A Survey for Federated Learning Evaluations: Goals and Measures. CoRR abs/2308.11841 (2023) - [i113]Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji:
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. CoRR abs/2310.05143 (2023) - [i112]Runxue Bao, Yiming Sun, Yuhe Gao, Jindong Wang, Qiang Yang, Haifeng Chen, Zhi-Hong Mao, Ye Ye:
A Survey of Heterogeneous Transfer Learning. CoRR abs/2310.08459 (2023) - [i111]Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang:
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models. CoRR abs/2310.10049 (2023) - [i110]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 abs/2310.18358 (2023) - [i109]Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang:
Grounding Foundation Models through Federated Transfer Learning: A General Framework. CoRR abs/2311.17431 (2023) - [i108]Jinjing Zhu, Feiyang Ye, Qiao Xiao, Pengxin Guo, Yu Zhang, Qiang Yang:
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting. CoRR abs/2312.05024 (2023) - [i107]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 abs/2312.11111 (2023) - [i106]Hanlin Gu, Xinyuan Zhao, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang:
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. CoRR abs/2312.16554 (2023) - 2022
- [j183]Kevin Leyton-Brown, Mausam, Qiang Yang:
The New Faculty Highlights Program at AAAI-21. AI Mag. 43(4): 343 (2022) - [j182]Shun Liu, Qiang Yang, Shaobo Zhang, Tian Wang, Neal N. Xiong:
MIDP: An MDP-based intelligent big data processing scheme for vehicular edge computing. J. Parallel Distributed Comput. 167: 1-17 (2022) - [j181]Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang:
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252: 109384 (2022) - [j180]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): 6122-6139 (2022) - [j179]Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protect, show, attend and tell: Empowering image captioning models with ownership protection. Pattern Recognit. 122: 108285 (2022) - [j178]