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ORCIDIrwin King
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- affiliation: Chinese University of Hong Kong
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2020 – today
- 2025
[j96]Aiwei Liu
, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. 57(2): 47:1-47:36 (2025)- 2024
- [j95]Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Gengjie Jia, Sheng Wang, Le Song, Yu Li:
Progress and opportunities of foundation models in bioinformatics. Briefings Bioinform. 25(6) (2024) - [j94]Felix Wong, Dongchen He, Aarti Krishnan, Liang Hong, Alexander Z. Wang, Jiuming Wang, Zhihang Hu, Satotaka Omori, Alicia Li, Jiahua Rao, Qinze Yu, Wengong Jin, Tianqing Zhang, Katherine Ilia, Jack X. Chen, Shuangjia Zheng, Irwin King, Yu Li, James J. Collins:
Deep generative design of RNA aptamers using structural predictions. Nat. Comput. Sci. 4(11): 829-839 (2024) - [j93]Xinyu Fu, Irwin King:
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks. Neural Networks 170: 266-275 (2024) - [j92]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10466-10485 (2024) - [j91]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu:
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36(5): 2026-2040 (2024) - [j90]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye:
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36(5): 2213-2223 (2024) - [j89]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. IEEE Trans. Knowl. Data Eng. 36(12): 9418-9432 (2024) - [j88]Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King:
Guest Editorial: Special Issue on Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11630-11633 (2024) - [c333]Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. AAAI 2024: 4614-4622 - [c332]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI 2024: 8302-8310 - [c331]Zixing Song, Ziqiao Meng, Irwin King:
A Diffusion-Based Pre-training Framework for Crystal Property Prediction. AAAI 2024: 8993-9001 - [c330]Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King:
Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI 2024: 9368-9376 - [c329]Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King:
An Entropy-based Text Watermarking Detection Method. ACL (1) 2024: 11724-11735 - [c328]Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King:
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. CIKM 2024: 4819-4827 - [c327]Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King:
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation. EMNLP (Findings) 2024: 1321-1335 - [c326]Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong, Irwin King:
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. EMNLP (Findings) 2024: 3985-4004 - [c325]Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu:
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR 2024 - [c324]Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King:
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. IJCAI 2024: 5981-5989 - [c323]Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King:
A Systematic Survey on Federated Semi-supervised Learning. IJCAI 2024: 8244-8252 - [c322]Tianyu Liu, Ruixin Yan, Irwin King:
Anomaly Detection on Attributed Network Based on Hyperbolic Radial Distance. IJCNN 2024: 1-8 - [c321]Hongye Wang, Ruonan Li, Zenglin Xu, JinLong Li, Irwin King, Jie Liu:
Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study. IJCNN 2024: 1-8 - [c320]Zhenxiong Ye, Weiming Zeng, Yunhua Chen, Ling Zhang, Jinsheng Xiao, Irwin King:
Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks. IJCNN 2024: 1-8 - [c319]Jinyu Zhong, Weiming Zeng, Yunhua Chen, Jinsheng Xiao, Irwin King:
Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps. IJCNN 2024: 1-7 - [c318]Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King:
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. KDD 2024: 385-396 - [c317]Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying:
Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. KDD 2024: 3770-3781 - [c316]Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD 2024: 4338-4349 - [c315]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. MICCAI (4) 2024: 318-328 - [c314]Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. MICCAI (4) 2024: 503-513 - [c313]Yueen Ma, Dafeng Chi, Jingjing Li, Kai Song, Yuzheng Zhuang, Irwin King:
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder. NAACL-HLT (Findings) 2024: 364-378 - [c312]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]Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng:
Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? NAACL-HLT (Findings) 2024: 2227-2242 - [c310]Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung:
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. NAACL-HLT 2024: 6625-6638 - [c309]Irwin King, Guodong Long, Zenglin Xu, Han Yu:
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) 2024: 1546-1547 - [c308]Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. WWW (Companion Volume) 2024: 1558-1567 - [e26]Ashish Ghosh, Irwin King, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal:
Pattern Recognition and Machine Intelligence - 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings. Lecture Notes in Computer Science 13102, Springer 2024, ISBN 978-3-031-12699-4 [contents] - [i142]Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. CoRR abs/2401.07212 (2024) - [i141]Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li:
Progress and Opportunities of Foundation Models in Bioinformatics. CoRR abs/2402.04286 (2024) - [i140]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR abs/2402.12411 (2024) - [i139]Zexuan Qiu, Jingjing Li, Shijue Huang, Wanjun Zhong, Irwin King:
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. CoRR abs/2403.03514 (2024) - [i138]Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King:
An Entropy-based Text Watermarking Detection Method. CoRR abs/2403.13485 (2024) - [i137]Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung:
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. CoRR abs/2404.08313 (2024) - [i136]Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King:
On the Necessity of Collaboration in Online Model Selection with Decentralized Data. CoRR abs/2404.09494 (2024) - [i135]Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King:
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR abs/2405.10051 (2024) - [i134]Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King:
A Survey on Vision-Language-Action Models for Embodied AI. CoRR abs/2405.14093 (2024) - [i133]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR abs/2406.09696 (2024) - [i132]Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King:
Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization. CoRR abs/2406.11258 (2024) - [i131]Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King:
Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR abs/2406.11267 (2024) - [i130]Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King:
Entropy-Based Decoding for Retrieval-Augmented Large Language Models. CoRR abs/2406.17519 (2024) - [i129]Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying:
Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. CoRR abs/2407.01290 (2024) - [i128]Yali Fu, Jindong Li, Jiahong Liu, Qianli Xing, Qi Wang, Irwin King:
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection. CoRR abs/2407.02057 (2024) - [i127]Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King:
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. CoRR abs/2408.01147 (2024) - [i126]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. CoRR abs/2408.09239 (2024) - [i125]Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu:
WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents. CoRR abs/2409.05112 (2024) - [i124]Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang:
Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR abs/2409.09957 (2024) - [i123]Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, Ziqiao Meng, Guangyan Zhang, Qichao Wang, Yiwen Guo, Irwin King:
Recent Advances in Speech Language Models: A Survey. CoRR abs/2410.03751 (2024) - [i122]Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, Rex Ying:
Hyperbolic Fine-tuning for Large Language Models. CoRR abs/2410.04010 (2024) - [i121]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]Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King:
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning. CoRR abs/2410.16803 (2024) - [i119]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) - [i118]Yukun Zhang, Guanzhong Chen, Zenglin Xu, Jianyong Wang, Dun Zeng, Junfan Li, Jinghua Wang, Yuan Qi, Irwin King:
FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data. CoRR abs/2411.07050 (2024) - [i117]Muzhi Li, Cehao Yang, Chengjin Xu, Xuhui Jiang, Yiyan Qi, Jian Guo, Ho-fung Leung, Irwin King:
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion. CoRR abs/2411.08165 (2024) - 2023
- [b2]Irwin King, Wei-I Lee:
A Decade of MOOCs and Beyond - Platforms, Policies, Pedagogy, Technology, and Ecosystems with an Emphasis on Greater China. Springer 2023, ISBN 978-3-031-15240-5, pp. 1-177 - [j87]King Woon Yau, Ching Sing Chai, Thomas K. F. Chiu, Helen Meng, Irwin King, Yeung Yam:
A phenomenographic approach on teacher conceptions of teaching Artificial Intelligence (AI) in K-12 schools. Educ. Inf. Technol. 28(1): 1041-1064 (2023) - [j86]Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King:
A survey on graph embedding techniques for biomedical data: Methods and applications. Inf. Fusion 100: 101909 (2023) - [j85]Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King:
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. IEEE Trans. Knowl. Data Eng. 35(5): 4555-4569 (2023) - [j84]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 35(9): 8934-8954 (2023) - [j83]Menglin Yang, Min Zhou, Hui Xiong, Irwin King:
Hyperbolic Temporal Network Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11489-11502 (2023) - [j82]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-Based Semi-Supervised Learning: A Comprehensive Review. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8174-8194 (2023) - [c307]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI 2023: 11289-11297 - [c306]Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI 2023: 13362-13370 - [c305]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) 2023: 303-311 - [c304]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) 2023: 10221-10234 - [c303]Zixing Song, Yuji Zhang, Irwin King:
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. CIKM 2023: 2331-2341 - [c302]Yaoman Li, Irwin King:
Neural Architecture Search for Explainable Networks. ECAI 2023: 1447-1454 - [c301]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues. EMNLP (Findings) 2023: 9556-9569 - [c300]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. ICML 2023: 39639-39659 - [c299]Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu:
Generalized Category Discovery with Clustering Assignment Consistency. ICONIP (5) 2023: 535-547 - [c298]Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu:
Practical and Efficient Model Extraction of Sentiment Analysis APIs. ICSE 2023: 524-536 - [c297]Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. IJCAI 2023: 1587-1595 - [c296]Xinyu Fu, Irwin King:
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. IJCAI 2023: 3705-3713 - [c295]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. IJCAI 2023: 4064-4072 - [c294]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. IJCAI 2023: 6723-6731 - [c293]Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King:
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN 2023: 1-8 - [c292]Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD 2023: 2965-2977 - [c291]Yifei Zhang, Yankai Chen, Zixing Song, Irwin King:
Contrastive Cross-scale Graph Knowledge Synergy. KDD 2023: 3422-3433 - [c290]Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King:
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. KDD 2023: 5843-5844 - [c289]Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King:
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. NeurIPS 2023 - [c288]Zixing Song, Yifei Zhang, Irwin King:
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. NeurIPS 2023 - [c287]Zixing Song, Yifei Zhang, Irwin King:
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning. NeurIPS 2023 - [c286]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 - [c285]Ziqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu, Irwin King:
Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. SDM 2023: 811-819 - [c284]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR 2023: 2436-2440 - [c283]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR 2023: 2521-2525 - [c282]Yuan Xu, Ching Sing Chai, Helen Meng, Savio Wai-Ho Wong, King Woon Yau, Thomas K. F. Chiu, Irwin King, Yeung Yam:
An experiential learning approach to learn AI in an online workshop. TALE 2023: 1-6 - [c281]Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King:
1st Workshop on Federated Learning Technologies. WWW (Companion Volume) 2023: 1150 - [c280]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) 2023: 1167-1176 - [c279]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW 2023: 3164-3172 - [i116]Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li:
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR abs/2301.05931 (2023) - [i115]Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2301.08125 (2023) - [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) - [i113]Conghao Xiong, Yi Lin, Hao Chen, Joseph J. Y. Sung, Irwin King:
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. CoRR abs/2303.05780 (2023) - [i112]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. CoRR abs/2304.00241 (2023) - [i111]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR abs/2305.03503 (2023) - [i110]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR abs/2305.04410 (2023) - [i109]Xinyu Fu, Irwin King:
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. CoRR abs/2305.09729 (2023) - [i108]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR abs/2305.16166 (2023) - [i107]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR abs/2305.16663 (2023) - [i106]