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Irwin King
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Publications
- 2025
- [c347]Yifei Zhang
, Hao Zhu
Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. KDD (1) 2025: 1984-1995 - [c341]Irwin King
FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025. WWW (Companion Volume) 2025: 1733-1734 - [i174]Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying:
Low-Rank Adaptation for Foundation Models: A Comprehensive Review. CoRR abs/2501.00365 (2025) - [i161]Conghao Xiong, Zhengrui Guo, Zhe Xu, Yifei Zhang, Raymond Kai-Yu Tong, Si Yong Yeo, Hao Chen, Joseph J. Y. Sung, Irwin King:
Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification. CoRR abs/2505.15504 (2025) - [i157]Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao:
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. CoRR abs/2506.00975 (2025) - [i154]Zhihan Guo, Jiele Wu, Wenqian Cui, Yifei Zhang, Minda Hu, Yufei Wang, Irwin King:
From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation. CoRR abs/2506.16024 (2025) - [i150]Hung-Chieh Fang, Hsuan-Tien Lin, Irwin King, Yifei Zhang:
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning. CoRR abs/2508.01251 (2025) - 2024
- [j92]Yifei Zhang
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges. ACM Trans. Intell. Syst. Technol. 15(6): 112:1-112:47 (2024) - [j89]Yankai Chen
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. IEEE Trans. Knowl. Data Eng. 36(12): 9418-9432 (2024) - [c327]Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King:
A Systematic Survey on Federated Semi-supervised Learning. IJCAI 2024: 8244-8252 - [c320]Yifei Zhang
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD 2024: 4338-4349 - [c316]Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering. NAACL-HLT (Findings) 2024: 1519-1528 - [c311]Zhihan Guo
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. WWW (Companion Volume) 2024: 1558-1567 - [i127]Yankai Chen, Yixiang Fang
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. CoRR abs/2408.09239 (2024) - [i122]Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King:
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. CoRR abs/2410.05352 (2024) - [i120]Yifei Zhang, Hao Zhu, Aiwei Liu, Han Yu, Piotr Koniusz, Irwin King:
Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs. CoRR abs/2410.19694 (2024) - 2023
- [c310]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI 2023: 11289-11297 - [c309]Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI 2023: 13362-13370 - [c294]Yifei Zhang
Contrastive Cross-scale Graph Knowledge Synergy. KDD 2023: 3422-3433 - [c291]Zixing Song, Yifei Zhang, Irwin King:
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. NeurIPS 2023 - [c290]Zixing Song, Yifei Zhang, Irwin King:
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning. NeurIPS 2023 - [c289]Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King:
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS 2023 - [c286]Yankai Chen
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR 2023: 2521-2525 - [c283]Yifei Zhang
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) 2023: 1167-1176 - [c282]Yankai Chen
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW 2023: 3164-3172 - [i114]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR abs/2302.10637 (2023) - [i112]Yankai Chen, Yixiang Fang
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. CoRR abs/2304.00241 (2023) - [i110]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR abs/2305.04410 (2023) - [i98]Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King:
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning. CoRR abs/2310.18209 (2023) - 2022
- [c277]Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King:
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) 2022: 102-108 - [c274]Zixing Song, Yifei Zhang, Irwin King
Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. KDD 2022: 1656-1665 - [c272]Yifei Zhang
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD 2022: 2524-2534 - [c267]Yifei Zhang
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW 2022: 1331-1339 - [i94]Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. CoRR abs/2202.06281 (2022) - [i87]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. CoRR abs/2206.04726 (2022) - [i78]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. CoRR abs/2212.01026 (2022) - 2021
- [c262]Zixing Song, Ziqiao Meng, Yifei Zhang
Semi-supervised Multi-label Learning for Graph-structured Data. CIKM 2021: 1723-1733 - [i57]Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King:
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR abs/2112.01944 (2021)
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last updated on 2025-11-13 01:22 CET by the dblp team
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