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Journal Articles
- 2025
[j4]Zhenyuan Zhang
, Xingqun Qi, Zhenbo Song, Zhiqin Yang, Jianfeng Lu, Muyi Sun, Man Zhang, Zhenan Sun:
Multi-Scale Semantic-Guidance Networks: Robust Blind Face Restoration Against Adversarial Attacks. IEEE Trans. Inf. Forensics Secur. 20: 5269-5281 (2025)- 2024
- [j3]Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid:
Emerging trends in federated learning: from model fusion to federated X learning. Int. J. Mach. Learn. Cybern. 15(9): 3769-3790 (2024) - 2023
- [j2]Yingguang Yang, Renyu Yang, Yangyang Li, Kai Cui, Zhiqin Yang, Yue Wang, Jie Xu, Haiyong Xie:
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search. ACM Trans. Web 17(3): 15:1-15:31 (2023) - 2022
- [j1]Zhiqin Yang, Wuyong Qian, Jue Wang:
Visualization of preference aggregation based on Weber point in social network group decision-making problem. Kybernetes 51(4): 1301-1325 (2022)
Conference and Workshop Papers
- 2025
- [c7]Boyuan Wang, Xiaofeng Wang, Chaojun Ni, Guosheng Zhao, Zhiqin Yang, Zheng Zhu, Muyang Zhang, Yukun Zhou, Xinze Chen, Guan Huang, Lihong Liu, Xingang Wang:
HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation. CVPR 2025: 12391-12401 - [c6]Hengyu Liu, Chenxin Li, Wentao Pan, Zhiqin Yang, Yifeng Yang, Yifan Liu, Wuyang Li, Yixuan Yuan:
Hide-in-Motion: Embedding Steganographic Copyright Information into 4D Gaussian Splatting Assets. ICRA 2025: 2694-2700 - 2024
- [c5]Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang:
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning. AAAI 2024: 21359-21367 - [c4]Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han:
Robust Training of Federated Models with Extremely Label Deficiency. ICLR 2024 - 2023
- [c3]Nengfu Cai, Zhiqin Yang, Shuhai Wang, Yanling Jiang, Mingsheng Liu, Gang Li:
Efficient Side-Channel Attack through Balanced Labels Compression and Variational Autoencoder. MSN 2023: 480-487 - [c2]Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han:
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. NeurIPS 2023 - 2019
- [c1]Nicholas Vanderschantz, Zhiqin Yang:
Play, Pause, and Skip: Touch Screen Media Player Interaction on the Move. ICADL 2019: 189-202
Informal and Other Publications
- 2025
- [i11]Boyuan Wang, Xiaofeng Wang, Chaojun Ni, Guosheng Zhao, Zhiqin Yang, Zheng Zhu, Muyang Zhang, Yukun Zhou, Xinze Chen, Guan Huang, Lihong Liu, Xingang Wang:
HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation. CoRR abs/2503.24026 (2025) - [i10]Xuefeng Jiang, Tian Wen, Zhiqin Yang, Lvhua Wu, Yufeng Chen, Sheng Sun, Yuwei Wang, Min Liu:
Robust Federated Learning against Noisy Clients via Masked Optimization. CoRR abs/2506.02079 (2025) - [i9]Shikun Li, Shipeng Li, Zhiqin Yang, Xinghua Zhang, Gaode Chen, Xiaobo Xia, Hengyu Liu, Zhe Peng:
LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment. CoRR abs/2506.11480 (2025) - [i8]Parker Liu, Chenxin Li, Zhengxin Li, Yipeng Wu, Wuyang Li, Zhiqin Yang, Zhenyuan Zhang, Yunlong Lin, Sirui Han, Brandon Y. Feng:
IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering. CoRR abs/2506.23329 (2025) - [i7]Boyuan Wang, Xinpan Meng, Xiaofeng Wang, Zheng Zhu, Angen Ye, Yang Wang, Zhiqin Yang, Chaojun Ni, Guan Huang, Xingang Wang:
EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling. CoRR abs/2507.05198 (2025) - [i6]Haoyun Li, Ivan Zhang, Runqi Ouyang, Xiaofeng Wang, Zheng Zhu, Zhiqin Yang, Zhentao Zhang, Boyuan Wang, Chaojun Ni, Wenkang Qin, Xinze Chen, Yun Ye, Guan Huang, Zhenbo Song, Xingang Wang:
MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training. CoRR abs/2509.22199 (2025) - [i5]Zhiqin Yang, Yonggang Zhang, Chenxin Li, Yiu-ming Cheung, Bo Han, Yixuan Yuan:
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning. CoRR abs/2510.20250 (2025) - 2024
- [i4]Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han:
Robust Training of Federated Models with Extremely Label Deficiency. CoRR abs/2402.14430 (2024) - [i3]Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang:
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning. CoRR abs/2404.17617 (2024) - 2023
- [i2]Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han:
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. CoRR abs/2310.05077 (2023) - 2022
- [i1]Yingguang Yang, Renyu Yang, Yangyang Li, Kai Cui, Zhiqin Yang, Yue Wang, Jie Xu, Haiyong Xie:
RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search. CoRR abs/2206.06757 (2022)
Coauthor Index
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