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2020 – today
- 2026
[j4]Shan Jin, Sai Rahul Rachuri, Yizhen Wang, Anderson C. A. Nascimento, Yiwei Cai:
Secure and Privacy-Preserving Vertical Federated Learning. Proc. Priv. Enhancing Technol. 2026(3): 625-645 (2026)- [i11]Liang Wang, Junpeng Wang, Chin-Chia Michael Yeh, Yan Zheng, Jiarui Sun, Xiran Fan, Xin Dai, Yujie Fan, Yiwei Cai:
Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment. CoRR abs/2602.05110 (2026) - [i10]Shenao Yan, Shimaa Ahmed, Shan Jin, Sunpreet S. Arora, Yiwei Cai, Yizhen Wang, Yuan Hong:
Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning. CoRR abs/2603.17174 (2026) - [i9]Shan Jin, Sai Rahul Rachuri, Yizhen Wang, Anderson C. A. Nascimento, Yiwei Cai:
Secure and Privacy-Preserving Vertical Federated Learning. CoRR abs/2604.13474 (2026) - 2025
- [j3]Mengxia Wang
, Chaoyang Zhu, Yunxiang Zhang, Jinxin Deng, Yiwei Cai, Wei Wei, Mengxing Guo:
Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction. Cogn. Comput. 17(1): 59 (2025) - [j2]Yiwei Cai, Xinwen Gao, Yumeng Yang, Xinyang Feng:
U2bil:a two-phase class separation method for unbalanced tunnel defects via class incremental learning. Signal Image Video Process. 19(1): 151 (2025) - [c8]Wenxuan Bao, Shan Jin, Hadi Abdullah, Anderson Nascimento, Vincent Bindschaedler, Yiwei Cai:
Deep Learning with Plausible Deniability. NeurIPS 2025 - [c7]Xiaodong Yang, Xiaoting Li, Huiyuan Chen, Yiwei Cai:
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. SDM 2025: 618-626 - [i8]Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai:
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. CoRR abs/2501.04102 (2025) - [i7]Yuying Zhao, Xiaodong Yang, Huiyuan Chen, Xiran Fan, Yu Wang, Yiwei Cai, Tyler Derr:
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation. CoRR abs/2505.01695 (2025) - [i6]Yilang Zhang, Xiaodong Yang, Yiwei Cai, Georgios B. Giannakis:
ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning. CoRR abs/2510.23818 (2025) - [i5]Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen:
TransactionGPT. CoRR abs/2511.08939 (2025) - 2024
- [c6]Rashidul Islam, Huiyuan Chen, Yiwei Cai:
Fairness without Demographics through Shared Latent Space-Based Debiasing. AAAI 2024: 12717-12725 - [c5]Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai:
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. ICDM 2024: 875-880 - [c4]Shan Jin, Minghua Xu, Yiwei Cai:
Energy Efficient Obfuscation of Side-Channel Leakage for Preventing Side-Channel Attacks. SAC 2024: 1405-1414 - [c3]Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr:
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW 2024: 1237-1248 - [i4]Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr:
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR abs/2402.13495 (2024) - [i3]Xiaodong Yang, Huiyuan Chen, Yuchen Yan, Yuxin Tang, Yuying Zhao, Eric Xu, Yiwei Cai, Hanghang Tong:
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering. CoRR abs/2406.16170 (2024) - [i2]Xiaodong Yang, Xiaoting Li, Huiyuan Chen, Yiwei Cai:
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization. CoRR abs/2408.10948 (2024) - 2023
- [c2]Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang:
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. RecSys 2023: 791-797 - [i1]Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang:
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. CoRR abs/2308.10347 (2023) - 2022
- [c1]Mengxi Zhang, Lei Wang, Ying Zou, Jiahua Peng, Yiwei Cai, Shu Li:
Preliminary Research on Evaluation Index of Professional Adaptability for Airline Transport Pilot. HCI (6) 2022: 473-487
2010 – 2019
- 2012
- [j1]Yiwei Cai, Erhan Kutanoglu, John J. Hasenbein, Si-Zhao Joe Qin:
Single-machine scheduling with advanced process control constraints. J. Sched. 15(2): 165-179 (2012)
Coauthor Index
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