Yang Liu - RankMe

182 papers A* 23A 2B 2C 1Misc 3Journal 131Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Black-box Optimization of LLM Outputs by Asking for Directions. CoRR Jie Zhang, Meng Ding, Yang Liu, Jue Hong, Florian Tramèr
2025	J	`jnl`	Bridging the Gap Between LLMs and Human Intentions: Progresses and Challenges in Instruction Understanding, Intention Reasoning, and Reliable Generation. CoRR Zongyu Chang, Feihong Lu, Ziqin Zhu, Qian Li, Cheng Ji, Zhuo Chen, Yang Liu, Ruifeng Xu, Yangqiu Song, Shangguang Wang, Jianxin Li
2025	—	`conf`	COSMIC: Generalized Refusal Direction Identification in LLM Activations. ACL (Findings) Vincent Siu, Nicholas Crispino, Zihao Yu, Sam Pan, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang
2025	J	`jnl`	COSMIC: Generalized Refusal Direction Identification in LLM Activations. CoRR Vincent Siu, Nicholas Crispino, Zihao Yu, Sam Pan, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang
2025	J	`jnl`	CTIArena: Benchmarking LLM Knowledge and Reasoning Across Heterogeneous Cyber Threat Intelligence. CoRR Yutong Cheng, Yang Liu, Changze Li, Dawn Song, Peng Gao
2025	A*	`conf`	CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer. ICLR Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
2025	J	`jnl`	CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer. CoRR Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
2025	A*	`conf`	Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion. ICML Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang
2025	J	`jnl`	Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion. CoRR Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang
2025	A	`conf`	CrossLM: A Data-Free Collaborative Fine-Tuning Framework for Large and Small Language Models. MobiSys Yongheng Deng, Ziqing Qiao, Ye Zhang, Zhenya Ma, Yang Liu, Ju Ren
2025	A*	`conf`	Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. ICLR Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
2025	J	`jnl`	Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. CoRR Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
2025	J	`jnl`	Enhancing Parameter Efficiency and Generalization in Large Models: A Regularized and Masked Low-Rank Adaptation Approach. Trans. Mach. Learn. Res. Yuzhu Mao, Zihao Zhao, Siqi Ping, Yang Liu, Wenbo Ding
2025	J	`jnl`	FedMMKT:Co-Enhancing a Server Text-to-Image Model and Client Task Models in Multi-Modal Federated Learning. CoRR Ningxin He, Yang Liu, Wei Sun, Xiaozhou Ye, Ye Ouyang, Tiegang Gao, Zehui Zhang
2025	J	`jnl`	Guest Editorial Special Issue on Federated Learning for Big Data Applications. IEEE Trans. Big Data Xiaowen Chu, Wei Wang, Cong Wang, Yang Liu, Rongfei Zeng, Christopher G. Brinton
2025	J	`jnl`	Guest Editorial: Special Issue on Trustworthy Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Qiang Yang, Han Yu, Sin G. Teo, Bo Li, Guodong Long, Chao Jin, Lixin Fan, Yang Liu, Le Zhang
2025	J	`jnl`	Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation. IEEE Trans. Ind. Informatics Sheng Guo, Hui Chen, Yang Liu, Chengyi Yang, Zengxiang Li, Cheng Hao Jin
2025	—	`conf`	HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. KDD (2) Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang
2025	J	`jnl`	HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark. CoRR Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang
2025	A*	`conf`	InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. ICLR Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
2025	J	`jnl`	InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. CoRR Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
2025	A*	`conf`	Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. AAAI Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2025	A*	`conf`	PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs. ICML Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang
2025	J	`jnl`	PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs. CoRR Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang
2025	J	`jnl`	PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark. J. Mach. Learn. Res. Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao
2025	J	`jnl`	RepIt: Representing Isolated Targets to Steer Language Models. CoRR Vincent Siu, Nathan W. Henry, Nicholas Crispino, Yang Liu, Dawn Song, Chenguang Wang
2025	J	`jnl`	SteeringControl: Holistic Evaluation of Alignment Steering in LLMs. CoRR Vincent Siu, Nicholas Crispino, David Park, Nathan W. Henry, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang
2025	J	`jnl`	Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks. CoRR Yang Liu, Bingjie Yan, Tianyuan Zou, Jianqing Zhang, Zixuan Gu, Jianbing Ding, Xidong Wang, Jingyi Li, Xiaozhou Ye, Ye Ouyang, Qiang Yang, Ya-Qin Zhang
2025	J	`jnl`	Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs. CoRR Xiaoyu Xu, Xiang Yue, Yang Liu, Qingqing Ye, Haibo Hu, Minxin Du
2025	J	`jnl`	Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss. CoRR Zhuoang Cai, Zhenghao Li, Yang Liu, Liyuan Guo, Yangqiu Song
2025	—	`conf`	VFLAIR-LLM: A Comprehensive Framework and Benchmark for Split Learning of LLMs. KDD (2) Zixuan Gu, Qiufeng Fan, Long Sun, Yang Liu, Xiaojun Ye
2025	J	`jnl`	VFLAIR-LLM: A Comprehensive Framework and Benchmark for Split Learning of LLMs. CoRR Zixuan Gu, Qiufeng Fan, Long Sun, Yang Liu, Xiaojun Ye
2025	J	`jnl`	Weight Decay may matter more than muP for Learning Rate Transfer in Practice. CoRR Atli Kosson, Jeremy Welborn, Yang Liu, Martin Jaggi, Xi Chen
2024	J	`jnl`	A Federated Learning Framework Based on Differentially Private Continuous Data Release. IEEE Trans. Dependable Secur. Comput. Jianping Cai, Ximeng Liu, Qingqing Ye, Yang Liu, Yuyang Wang
2024	—	`conf`	A Weakly Supervised Part Detection Method for Robust Fine-Grained Classification. ICANN (2) Yang Liu, Le Jiang, Guoming Li, Xiaozhou Ye, Ye Ouyang
2024	J	`jnl`	A mechanism design approach for multi-party machine learning. Theor. Comput. Sci. Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
2024	J	`jnl`	AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy. IEEE Trans. Mob. Comput. Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang
2024	A*	`conf`	An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. CVPR Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao
2024	J	`jnl`	An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning. CoRR Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao
2024	J	`jnl`	Autonomous Driving in Unstructured Environments: How Far Have We Come? CoRR Chen Min, Shubin Si, Xu Wang, Hanzhang Xue, Weizhong Jiang, Yang Liu, Juan Wang, Qingtian Zhu, Qi Zhu, Lun Luo, Fanjie Kong, Jinyu Miao, Xudong Cai, Shuai An, Wei Li, Jilin Mei, Tong Sun, Heng Zhai, Qifeng Liu, Fangzhou Zhao, Liang Chen, Shuai Wang, Er-Ke Shang, Linzhi Shang, Kunlong Zhao, Fuyang Li, Hao Fu, Lei Jin, Jian Zhao, Fangyuan Mao, Zhipeng Xiao, Chengyang Li, Bin Dai, Dawei Zhao, Liang Xiao, Yiming Nie, Yu Hu, Xuelong Li
2024	B	`conf`	Defending Against Inference and Backdoor Attacks in Vertical Federated Learning via Mutual Information Regularization. IEEE Big Data Tianyuan Zou, Yang Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang
2024	J	`jnl`	Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. IEEE Trans. Big Data Tianyuan Zou, Yang Liu, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang, Ya-Qin Zhang
2024	J	`jnl`	Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach. CoRR Yuzhu Mao, Siqi Ping, Zihao Zhao, Yang Liu, Wenbo Ding
2024	J	`jnl`	FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering. CoRR Siqi Ping, Yuzhu Mao, Yang Liu, Xiao-Ping Zhang, Wenbo Ding
2024	J	`jnl`	FedHAP: Federated Hashing With Global Prototypes for Cross-Silo Retrieval. IEEE Trans. Parallel Distributed Syst. Meilin Yang, Jian Xu, Wenbo Ding, Yang Liu
2024	J	`jnl`	FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning. CoRR Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao, Qiang Yang
2024	A*	`conf`	FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. AAAI Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao
2024	J	`jnl`	FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. CoRR Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao
2024	A*	`conf`	Federated Adaptation for Foundation Model-based Recommendations. IJCAI Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	J	`jnl`	Federated Adaptation for Foundation Model-based Recommendations. CoRR Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	Misc	`conf`	Federated PAC-Bayesian Learning on Non-IID Data. ICASSP Zihao Zhao, Yang Liu, Wenbo Ding, Xiao-Ping Zhang
2024	J	`jnl`	Federated Temporal Graph Clustering. CoRR Yang Liu, Zihao Zhou, Xianghong Xu, Qian Li
2024	J	`jnl`	Graph Pre-Training Models Are Strong Anomaly Detectors. CoRR Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung
2024	—	`conf`	Improved Sparse Activity Detection Based on Optimized Measurement Matrix in mMTC. VTC Fall Jianyu Wang, Yang Liu, Chaoyuan Bai, Heng Liu
2024	—	`conf`	Long-Periodicity Detection from Massive Alarms in Power System. ICNSC Yunfan Yang, Xinyu Yang, Hao Huang, Shilong Zhang, Qinqin Wu, Yanan Li, Zhenwei Gu, Yang Liu
2024	J	`jnl`	Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. CoRR Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	A*	`conf`	OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. ICLR Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu
2024	J	`jnl`	PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training. ACM Trans. Intell. Syst. Technol. Sichun Luo, Yuanzhang Xiao, Xinyi Zhang, Yang Liu, Wenbo Ding, Linqi Song
2024	J	`jnl`	Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability. IEEE Trans. Big Data Yan Kang, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang
2024	J	`jnl`	Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning. CoRR Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
2024	J	`jnl`	SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications. IEEE Trans. Mob. Comput. Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang
2024	A*	`conf`	SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2024	A*	`conf`	VFLAIR: A Research Library and Benchmark for Vertical Federated Learning. ICLR Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu, Ya-Qin Zhang
2024	J	`jnl`	Vertical Federated Learning: Concepts, Advances, and Challenges. IEEE Trans. Knowl. Data Eng. Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
2024	J	`jnl`	Weakly Supervised Anomaly Detection via Knowledge-Data Alignment. CoRR Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li
2023	J	`jnl`	6G Network Business Support System. CoRR Ye Ouyang, Yaqin Zhang, Peng Wang, Yunxin Liu, Wen Qiao, Jun Zhu, Yang Liu, Feng Zhang, Shuling Wang, Xidong Wang
2023	J	`jnl`	6G Network Operation Support System. CoRR Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Xidong Wang, Jie Sun, Yang Liu, Shoufeng Wang, Sen Bian, Yun Li
2023	A*	`conf`	A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning. INFOCOM Yongheng Deng, Ju Ren, Cheng Tang, Feng Lyu, Yang Liu, Yaoxue Zhang
2023	J	`jnl`	A multimodal approach for improving market price estimation in online advertising. Knowl. Based Syst. Tengyun Wang, Haizhi Yang, Yang Liu, Han Yu, Hengjie Song
2023	J	`jnl`	AIGC Empowering Telecom Sector White Paper_chinese. CoRR Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Yong Song, Yang Liu, Sen Bian, Zhiyong Liu
2023	J	`jnl`	AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients. CoRR Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang
2023	A*	`conf`	Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack. CVPR Hideaki Takahashi, Jingjing Liu, Yang Liu
2023	J	`jnl`	Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack. CoRR Hideaki Takahashi, Jingjing Liu, Yang Liu
2023	J	`jnl`	CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. AI Mag. Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
2023	A*	`conf`	Deep Insights into Noisy Pseudo Labeling on Graph Data. NeurIPS Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
2023	J	`jnl`	Deep Insights into Noisy Pseudo Labeling on Graph Data. CoRR Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
2023	J	`jnl`	Eliminating Label Leakage in Tree-Based Vertical Federated Learning. CoRR Hideaki Takahashi, Jingjing Liu, Yang Liu
2023	J	`jnl`	Federated Learning without Full Labels: A Survey. CoRR Yilun Jin, Yang Liu, Kai Chen, Qiang Yang
2023	J	`jnl`	Federated Learning without Full Labels: A Survey. IEEE Data Eng. Bull. Yilun Jin, Yang Liu, Kai Chen, Qiang Tang
2023	J	`jnl`	Federated PAC-Bayesian Learning on Non-IID data. CoRR Zihao Zhao, Yang Liu, Wenbo Ding, Xiao-Ping Zhang
2023	A*	`conf`	Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. AAAI Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
2023	—	`conf`	Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt. UbiComp/ISWC Adjunct Zihao Zhao, Zhenpeng Shi, Yang Liu, Wenbo Ding
2023	J	`jnl`	Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt. CoRR Zihao Zhao, Zhenpeng Shi, Yang Liu, Wenbo Ding
2023	—	`conf`	Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. ACL (Findings) Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang
2023	J	`jnl`	Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. CoRR Xuanjie Fang, Sijie Cheng, Yang Liu, Wei Wang
2023	A*	`conf`	Multimodal Federated Learning via Contrastive Representation Ensemble. ICLR Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu
2023	J	`jnl`	Multimodal Federated Learning via Contrastive Representation Ensemble. CoRR Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu
2023	J	`jnl`	Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer. CoRR Yongheng Deng, Ziqing Qiao, Ju Ren, Yang Liu, Yaoxue Zhang
2023	J	`jnl`	Mutual Information Regularization for Vertical Federated Learning. CoRR Tianyuan Zou, Yang Liu, Ya-Qin Zhang
2023	J	`jnl`	OpenChat: Advancing Open-source Language Models with Mixed-Quality Data. CoRR Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu
2023	J	`jnl`	PFLlib: Personalized Federated Learning Algorithm Library. CoRR Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao
2023	J	`jnl`	PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training. CoRR Sichun Luo, Yuanzhang Xiao, Xinyi Zhang, Yang Liu, Wenbo Ding, Linqi Song
2023	J	`jnl`	Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2023	J	`jnl`	Towards efficient communications in federated learning: A contemporary survey. J. Frankl. Inst. Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding
2023	J	`jnl`	VFLAIR: A Research Library and Benchmark for Vertical Federated Learning. CoRR Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu, Guangnan Ye, Ya-Qin Zhang
2022	Misc	`conf`	A Mechanism Design Approach for Multi-party Machine Learning. FAW Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
2022	—	`conf`	Adversarial Contrastive Learning via Asymmetric InfoNCE. ECCV (5) Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu
2022	J	`jnl`	Adversarial Contrastive Learning via Asymmetric InfoNCE. CoRR Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu
2022	—	`conf`	Brisk-Yolo: A Lightweight Object Detection Algorithm for Edge Devices. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Yang Liu, Le Jiang, Guoming Li, Yunxin Liu, Xiaozhou Ye, Ye Ouyang, Aidong Yang
2022	J	`jnl`	Communication-Efficient Federated Learning with Adaptive Quantization. ACM Trans. Intell. Syst. Technol. Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding
2022	A*	`conf`	Contribution-Aware Federated Learning for Smart Healthcare. AAAI Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
2022	J	`jnl`	Customized Federated Learning for Multi-Source Decentralized Medical Image Classification. IEEE J. Biomed. Health Informatics Jeffry Wicaksana, Zengqiang Yan, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng
2022	J	`jnl`	FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. IEEE Trans. Signal Process. Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang
2022	J	`jnl`	FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training. ACM Trans. Intell. Syst. Technol. Yan Kang, Yang Liu, Xinle Liang
2022	J	`jnl`	FedHAP: Federated Hashing with Global Prototypes for Cross-silo Retrieval. CoRR Meilin Yang, Jian Xu, Yang Liu, Wenbo Ding
2022	—	`conf`	Federated Capsule Graph Neural Network with Personalization. UbiComp/ISWC Adjunct Meilin Yang, Jian Xu, Wenbo Ding, Yang Liu
2022	J	`jnl`	GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui
2022	J	`jnl`	Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax. CoRR Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
2022	J	`jnl`	Inspecting the Running Process of Horizontal Federated Learning via Visual Analytics. IEEE Trans. Vis. Comput. Graph. Quan Li, Xiguang Wei, Huanbin Lin, Yang Liu, Tianjian Chen, Xiaojuan Ma
2022	J	`jnl`	Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Trans. Intell. Syst. Technol. Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
2022	—	`conf`	NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen
2022	J	`jnl`	Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Trans. Intell. Syst. Technol. Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings
2022	—	`conf`	Privacy-Preserving Federated Cross-Domain Social Recommendation. FL@IJCAI Jianping Cai, Yang Liu, Ximeng Liu, Jiayin Li, Hongbin Zhuang
2022	J	`jnl`	SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications. CoRR Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang
2022	J	`jnl`	Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang
2022	Misc	`conf`	TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity. SenSys Yongheng Deng, Weining Chen, Ju Ren, Feng Lyu, Yang Liu, Yunxin Liu, Yaoxue Zhang
2022	J	`jnl`	Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation. CoRR Sichun Luo, Yuanzhang Xiao, Yang Liu, Congduan Li, Linqi Song
2022	J	`jnl`	Towards Efficient Communications in Federated Learning: A Contemporary Survey. CoRR Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding
2022	J	`jnl`	Vertical Federated Learning. CoRR Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2021	J	`jnl`	Communication Efficient Federated Learning with Adaptive Quantization. CoRR Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding
2021	A*	`conf`	Deconvolutional Networks on Graph Data. NeurIPS Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
2021	J	`jnl`	Deconvolutional Networks on Graph Data. CoRR Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
2021	J	`jnl`	Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. CoRR Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang
2021	J	`jnl`	FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection. J. Mach. Learn. Res. Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang
2021	J	`jnl`	FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning. CoRR Zhifeng Jiang, Wei Wang, Yang Liu
2021	J	`jnl`	FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data. IEEE Trans. Signal Process. Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu
2021	J	`jnl`	Federated Learning-Powered Visual Object Detection for Safety Monitoring. AI Mag. Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
2021	J	`jnl`	GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. CoRR Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui
2021	J	`jnl`	Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability. CoRR Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang
2021	J	`jnl`	SecureBoost: A Lossless Federated Learning Framework. IEEE Intell. Syst. Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang
2021	J	`jnl`	Self-supervised Cross-silo Federated Neural Architecture Search. CoRR Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang
2021	J	`jnl`	StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing. ACM Trans. Intell. Syst. Technol. Anbu Huang, Yang Liu, Tianjian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang
2020	J	`jnl`	A Construction of Optimal Frequency Hopping Sequence Set via Combination of Multiplicative and Additive Groups of Finite Fields. IEEE Trans. Inf. Theory Xianhua Niu, Chaoping Xing, Yang Liu, Liang Zhou
2020	C	`conf`	A Fairness-aware Incentive Scheme for Federated Learning. AIES Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang
2020	—	`ch.`	A Gamified Research Tool for Incentive Mechanism Design in Federated Learning. Federated Learning Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang
2020	A*	`conf`	A Multi-player Game for Studying Federated Learning Incentive Schemes. IJCAI Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang
2020	J	`jnl`	A Secure Federated Transfer Learning Framework. IEEE Intell. Syst. Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang
2020	J	`jnl`	A Survey towards Federated Semi-supervised Learning. CoRR Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang
2020	J	`jnl`	A Sustainable Incentive Scheme for Federated Learning. IEEE Intell. Syst. Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang
2020	J	`jnl`	A VCG-based Fair Incentive Mechanism for Federated Learning. CoRR Mingshu Cong, Han Yu, Xi Weng, Jiabao Qu, Yang Liu, Siu-Ming Yiu
2020	J	`jnl`	Addressing the Challenges of Government Service Provision with AI. AI Mag. Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang
2020	J	`jnl`	Backdoor attacks and defenses in feature-partitioned collaborative learning. CoRR Yang Liu, Zhihao Yi, Tianjian Chen
2020	—	`conf`	BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. USENIX ATC Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
2020	J	`jnl`	FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training. CoRR Yan Kang, Yang Liu, Tianjian Chen
2020	J	`jnl`	FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. CoRR Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu
2020	A*	`conf`	FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. AAAI Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
2020	J	`jnl`	FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. CoRR Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
2020	—	`conf`	Federated Transfer Learning for EEG Signal Classification. EMBC Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
2020	J	`jnl`	Federated Transfer Learning for EEG Signal Classification. CoRR Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan
2020	J	`jnl`	Federated learning for privacy-preserving AI. Commun. ACM Yong Cheng, Yang Liu, Tianjian Chen, Qiang Yang
2020	J	`jnl`	Introduction to the Special Issue on Federated Machine Learning. IEEE Intell. Syst. Yang Liu, Han Yu, Qiang Yang
2020	J	`jnl`	Learning to Detect Malicious Clients for Robust Federated Learning. CoRR Suyi Li, Yong Cheng, Wei Wang, Yang Liu, Tianjian Chen
2020	J	`jnl`	Mechanism Design for Multi-Party Machine Learning. CoRR Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang
2020	J	`jnl`	Multi-component transfer metric learning for handling unrelated source domain samples. Knowl. Based Syst. Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu
2020	J	`jnl`	Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention. CoRR Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin
2020	A	`conf`	RPN: A Residual Pooling Network for Efficient Federated Learning. ECAI Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang
2020	J	`jnl`	RPN: A Residual Pooling Network for Efficient Federated Learning. CoRR Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang
2020	J	`jnl`	SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images. CoRR Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu
2019	J	`jnl`	A Communication Efficient Vertical Federated Learning Framework. CoRR Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang
2019	J	`jnl`	A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms. IEEE Access Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song
2019	J	`jnl`	Abnormal Client Behavior Detection in Federated Learning. CoRR Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2019	A*	`conf`	Fair and Explainable Dynamic Engagement of Crowd Workers. IJCAI Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng
2019	—	`book`	Federated Learning Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu
2019	J	`jnl`	Federated Machine Learning: Concept and Applications. CoRR Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
2019	J	`jnl`	Federated Machine Learning: Concept and Applications. ACM Trans. Intell. Syst. Technol. Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong
2019	J	`jnl`	Federated Transfer Reinforcement Learning for Autonomous Driving. CoRR Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang
2019	J	`jnl`	HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. CoRR Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang
2019	A*	`conf`	Multi-Agent Visualization for Explaining Federated Learning. IJCAI Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang
2019	—	`conf`	Privacy-preserving Heterogeneous Federated Transfer Learning. IEEE BigData Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang
2019	J	`jnl`	Real-World Image Datasets for Federated Learning. CoRR Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang
2019	J	`jnl`	Reviewing and Improving the Gaussian Mechanism for Differential Privacy. CoRR Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Xuebin Ren, Xinyu Yang, Shuyu Shi, Yang Liu, Han Yu
2019	—	`conf`	Secure and Efficient Federated Transfer Learning. IEEE BigData Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang
2019	J	`jnl`	Secure and Efficient Federated Transfer Learning. CoRR Shreya Sharma, Chaoping Xing, Yang Liu, Yan Kang
2019	J	`jnl`	SecureBoost: A Lossless Federated Learning Framework. CoRR Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang
2018	J	`jnl`	An automatically vetting mechanism for SSL error-handling vulnerability in android hybrid Web apps. World Wide Web Yang Liu, Chaoshun Zuo, Zonghua Zhang, Shanqing Guo, Xin-Shun Xu
2018	J	`jnl`	Secure Federated Transfer Learning. CoRR Yang Liu, Tianjian Chen, Qiang Yang
2017	J	`jnl`	Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data. CoRR Xuefeng Liang, Lixin Fan, Yuen Peng Loh, Yang Liu, Song Tong
2016	—	`conf`	A genetic algorithm-based multicast tree for routing in pub/sub system. ICCIP Yanyun Tao, Jian Cao, Yuzhen Zhang, Yang Liu
2016	B	`conf`	SpatialGraphx: A Distributed Graph Computing Framework for Spatial and Temporal Data at Scale. COMPSAC Changyuan Wang, Zongfei Lu, Yang Liu, Shanqing Guo, Xin-Shun Xu, Shijun Liu, Li-zhen Cui