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2020 – today
- 2023
[j27]Guodong Long
, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang:
Multi-center federated learning: clients clustering for better personalization. World Wide Web (WWW) 26(1): 481-500 (2023)- [i74]Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang:
Dual Personalization on Federated Recommendation. CoRR abs/2301.08143 (2023) - [i73]Zhiwei Li, Guodong Long, Tianyi Zhou:
Federated Recommendation with Additive Personalization. CoRR abs/2301.09109 (2023) - [i72]Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang:
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. CoRR abs/2301.09152 (2023) - [i71]Yucheng Zhou, Guodong Long:
Multimodal Event Transformer for Image-guided Story Ending Generation. CoRR abs/2301.11357 (2023) - [i70]Yucheng Zhou, Guodong Long:
Improving Cross-modal Alignment for Text-Guided Image Inpainting. CoRR abs/2301.11362 (2023) - [i69]Yucheng Zhou, Guodong Long:
Style-Aware Contrastive Learning for Multi-Style Image Captioning. CoRR abs/2301.11367 (2023) - [i68]Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. CoRR abs/2301.11560 (2023) - [i67]Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu:
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR abs/2302.02173 (2023) - 2022
- [j26]Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang:
Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognit. 122: 108230 (2022) - [j25]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. 34(5): 2293-2305 (2022) - [c84]Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang:
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI 2022: 8432-8440 - [c83]Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang:
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. ACL (1) 2022: 2559-2575 - [c82]Jie Ma, Ming Xie, Guodong Long:
Personalized Federated Learning with Robust Clustering Against Model Poisoning. ADMA (2) 2022: 238-252 - [c81]Zhuowei Wang, Guodong Long:
Positive Unlabeled Learning by Sample Selection and Prototype Refinement. ADMA (1) 2022: 304-318 - [c80]Ming Xie, Jie Ma, Guodong Long, Chengqi Zhang:
Robust Clustered Federated Learning with Bootstrap Median-of-Means. APWeb/WAIM (1) 2022: 237-250 - [c79]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP 2022: 3308-3312 - [c78]Zhuowei Wang, Jing Jiang, Guodong Long:
Positive Unlabeled Learning by Semi-Supervised Learning. ICIP 2022: 2976-2980 - [c77]Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang:
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. ICLR 2022 - [c76]Shuang Ao, Tianyi Zhou, Jing Jiang, Guodong Long, Xuan Song, Chengqi Zhang:
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML 2022: 822-843 - [c75]Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang:
Personalized Federated Learning With a Graph. IJCAI 2022: 2575-2582 - [c74]Yang Li, Guodong Long, Tao Shen, Jing Jiang:
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision. NAACL-HLT (Findings) 2022: 316-326 - [c73]Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang:
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding. NAACL-HLT 2022: 375-384 - [c72]Qi Cheng, Guodong Long:
Federated Learning Operations (FLOps): Challenges, Lifecycle and Approaches. TAAI 2022: 12-17 - [c71]Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. WWW 2022: 850-859 - [e3]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13087, Springer 2022, ISBN 978-3-030-95404-8 [contents] - [e2]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13088, Springer 2022, ISBN 978-3-030-95407-9 [contents] - [e1]Guodong Long, Xinghuo Yu, Sen Wang:
AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings. Lecture Notes in Computer Science 13151, Springer 2022, ISBN 978-3-030-97545-6 [contents] - [i66]Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang:
On the Convergence of Clustered Federated Learning. CoRR abs/2202.06187 (2022) - [i65]Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang:
Personalized Federated Learning With Structure. CoRR abs/2203.00829 (2022) - [i64]Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang:
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. CoRR abs/2203.02225 (2022) - [i63]Zhuowei Wang, Tianyi Zhou, Guodong Long, Bo Han, Jing Jiang:
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels. CoRR abs/2205.10110 (2022) - [i62]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. CoRR abs/2206.08063 (2022) - [i61]Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang:
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. CoRR abs/2209.10083 (2022) - [i60]Chenglin Wang, Yucheng Zhou, Guodong Long, Xiaodong Wang, Xiaowei Xu:
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI. CoRR abs/2210.15248 (2022) - [i59]Yang Li, Canran Xu, Tao Shen, Jing Jiang, Guodong Long:
CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification. CoRR abs/2211.05987 (2022) - [i58]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang:
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR abs/2211.13009 (2022) - [i57]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. CoRR abs/2212.10423 (2022) - 2021
- [j24]Zhineng Fu, Weijun Xu, Ruiqi Hu, Guodong Long, Jing Jiang:
MHieR-encoder: Modelling the high-frequency changes across stocks. Knowl. Based Syst. 224: 107092 (2021) - [j23]Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu:
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. Neural Networks 134: 1-10 (2021) - [j22]Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang:
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Trans. Comput. Soc. Syst. 8(1): 214-226 (2021) - [j21]Lin Yue, Hao Shen, Sen Wang, Robert Boots, Guodong Long, Weitong Chen, Xiaowei Zhao:
Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning. ACM Trans. Knowl. Discov. Data 15(5): 90:1-90:20 (2021) - [j20]Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu:
A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(1): 4-24 (2021) - [c70]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI 2021: 8723-8731 - [c69]Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang:
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. ACL/IJCNLP (1) 2021: 5100-5109 - [c68]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. EMNLP (Findings) 2021: 3002-3012 - [c67]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang:
Sequential Diagnosis Prediction with Transformer and Ontological Representation. ICDM 2021: 489-498 - [c66]Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle:
A Universal Representation Transformer Layer for Few-Shot Image Classification. ICLR 2021 - [c65]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang:
Isometric Propagation Network for Generalized Zero-shot Learning. ICLR 2021 - [c64]Yang Zhang, Risa Higashita, Guodong Long, Rong Li, Daisuke Santo, Jiang Liu:
Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction. ICONIP (2) 2021: 479-490 - [c63]Yang Zhang, Risa Higashita, Yanwu Xu, Daisuke Santo, Yan Hu, Guodong Long, Jiang Liu:
Juvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network. OMIA@MICCAI 2021: 92-100 - [c62]Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang:
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum. NeurIPS 2021: 10444-10456 - [c61]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang:
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. WWW 2021: 1737-1748 - [i56]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang:
Isometric Propagation Network for Generalized Zero-shot Learning. CoRR abs/2102.02038 (2021) - [i55]Shaoxiong Ji, Teemu Saravirta, Shirui Pan, Guodong Long, Anwar Walid:
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning. CoRR abs/2102.12920 (2021) - [i54]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR abs/2103.02185 (2021) - [i53]Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu:
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. CoRR abs/2103.03679 (2021) - [i52]Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang:
FedProto: Federated Prototype Learning over Heterogeneous Devices. CoRR abs/2105.00243 (2021) - [i51]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering. CoRR abs/2107.04755 (2021) - [i50]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang:
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. CoRR abs/2107.09288 (2021) - [i49]Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang, Chengqi Zhang:
Multi-Center Federated Learning. CoRR abs/2108.08647 (2021) - [i48]Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang:
Federated Learning for Open Banking. CoRR abs/2108.10749 (2021) - [i47]Guodong Long, Tao Shen, Yue Tan, Leah Gerrard, Allison Clarke, Jing Jiang:
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health. CoRR abs/2108.10761 (2021) - [i46]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. CoRR abs/2109.02403 (2021) - [i45]Zonghan Wu, Da Zheng, Shirui Pan, Quan Gan, Guodong Long, George Karypis:
TraverseNet: Unifying Space and Time in Message Passing. CoRR abs/2109.02474 (2021) - [i44]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang:
Sequential Diagnosis Prediction with Transformer and Ontological Representation. CoRR abs/2109.03069 (2021) - [i43]Yang Li, Guodong Long, Tao Shen, Jing Jiang:
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision. CoRR abs/2109.09036 (2021) - [i42]Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. CoRR abs/2110.06533 (2021) - 2020
- [j19]Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D. Young, Wei Wang:
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. IEEE Access 8: 82481-82492 (2020) - [j18]Yu Zheng, Ruiqi Hu, Sai-Fu Fung, Celina Ping Yu, Guodong Long, Ting Guo, Shirui Pan:
Clustering social audiences in business information networks. Pattern Recognit. 100: 107126 (2020) - [j17]Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang:
Learning Graph Embedding With Adversarial Training Methods. IEEE Trans. Cybern. 50(6): 2475-2487 (2020) - [j16]Jing Jiang, Shaoxiong Ji, Guodong Long:
Decentralized Knowledge Acquisition for Mobile Internet Applications. World Wide Web 23(5): 2653-2669 (2020) - [j15]Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng:
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web 23(5): 2753-2770 (2020) - [c60]Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang:
Going Deep: Graph Convolutional Ladder-Shape Networks. AAAI 2020: 2838-2845 - [c59]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Attribute Propagation Network for Graph Zero-Shot Learning. AAAI 2020: 4868-4875 - [c58]Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang:
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. AAAI 2020: 8269-8276 - [c57]Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen:
One-Shot Learning for Long-Tail Visual Relation Detection. AAAI 2020: 12225-12232 - [c56]Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang:
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. AAMAS 2020: 1656-1664 - [c55]Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang:
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. COLING 2020: 556-567 - [c54]Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang:
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. COLING 2020: 1653-1664 - [c53]Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen:
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. EMNLP (1) 2020: 8980-8994 - [c52]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang:
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. ICDM 2020: 412-421 - [c51]Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, Guodong Long:
Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure. ICDM 2020: 571-580 - [c50]Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang:
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. IJCAI 2020: 2227-2233 - [c49]Wensi Tang, Lu Liu, Guodong Long:
Interpretable Time-series Classification on Few-shot Samples. IJCNN 2020: 1-8 - [c48]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD 2020: 753-763 - [c47]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS 2020 - [c46]Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long:
Confusable Learning for Large-Class Few-Shot Classification. ECML/PKDD (2) 2020: 707-723 - [c45]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang:
Self-attention Enhanced Patient Journey Understanding in Healthcare System. ECML/PKDD (3) 2020: 719-735 - [p1]Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang:
Federated Learning for Open Banking. Federated Learning 2020: 240-254 - [i41]Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein:
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. CoRR abs/2002.10061 (2020) - [i40]Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen:
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. CoRR abs/2004.14224 (2020) - [i39]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Semantic Triple Encoder for Fast Open-Set Link Prediction. CoRR abs/2004.14781 (2020) - [i38]Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang:
Multi-Center Federated Learning. CoRR abs/2005.01026 (2020) - [i37]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR abs/2005.11650 (2020) - [i36]Wensi Tang, Lu Liu, Guodong Long:
Interpretable Time-series Classification on Few-shot Samples. CoRR abs/2006.02031 (2020) - [i35]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang:
Self-Attention Enhanced Patient Journey Understanding in Healthcare System. CoRR abs/2006.10516 (2020) - [i34]Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle:
A Universal Representation Transformer Layer for Few-Shot Image Classification. CoRR abs/2006.11702 (2020) - [i33]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR abs/2006.15479 (2020) - [i32]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Attribute Propagation Network for Graph Zero-shot Learning. CoRR abs/2009.11816 (2020) - [i31]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang:
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. CoRR abs/2009.13252 (2020) - [i30]Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang:
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. CoRR abs/2010.03773 (2020) - [i29]Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang:
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. CoRR abs/2010.04863 (2020) - [i28]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. CoRR abs/2011.00791 (2020) - [i27]Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long:
Confusable Learning for Large-class Few-Shot Classification. CoRR abs/2011.03154 (2020) - [i26]Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long:
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. CoRR abs/2012.00925 (2020)
2010 – 2019
- 2019
- [j14]Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang:
Salient Subsequence Learning for Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2193-2207 (2019) - [j13]Xinxin Jiang, Shirui Pan, Guodong Long, Fei Xiong, Jing Jiang, Chengqi Zhang:
Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation. IEEE Trans. Ind. Electron. 66(12): 9713-9723 (2019) - [c44]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI 2019: 3321-3328 - [c43]Yang Wang, Guodong Long, Xueping Peng, Allison Clarke, Robin Stevenson, Leah Gerrard:
Interactive Deep Metric Learning for Healthcare Cohort Discovery. AusDM 2019: 208-221 - [c42]Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang:
Detecting Suicidal Ideation with Data Protection in Online Communities. DASFAA (3) 2019: 225-229 - [c41]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. EMNLP/IJCNLP (1) 2019: 2442-2451 - [c40]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein:
Temporal Self-Attention Network for Medical Concept Embedding. ICDM 2019: 498-507 - [c39]Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang:
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. ICDM 2019: 1498-1503 - [c38]