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Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation


Sep 05, 2021
Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King


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Modeling Scale-free Graphs for Knowledge-aware Recommendation


Aug 14, 2021
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King


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Controllable Summarization with Constrained Markov Decision Process


Aug 07, 2021
Hou Pong Chan, Lu Wang, Irwin King

* To appear in TACL 

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Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization


Aug 03, 2021
Wang Chen, Piji Li, Hou Pong Chan, Irwin King

* Knowledge-Based Systems (KBS) 

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Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space


Jul 08, 2021
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King

* KDD2021 

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A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy


Jun 26, 2021
Wang Chen, Piji Li, Irwin King

* ACL 2021 long paper 

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A Condense-then-Select Strategy for Text Summarization


Jun 19, 2021
Hou Pong Chan, Irwin King

* Accepted by Knowledge-Based Systems (KBS) journal 

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Discrete Auto-regressive Variational Attention Models for Text Modeling


Jun 16, 2021
Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael Lyu, Irwin King

* IJCNN 2021 

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Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation


Jun 08, 2021
Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu

* TPAMI 2021 

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Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation


Jun 02, 2021
Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King

* ACL 2021 main conference, long paper, 11 pages 

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A Survey on Deep Semi-supervised Learning


Feb 28, 2021
Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu

* 24 pages, 6 figures 

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FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding


Feb 27, 2021
Menglin Yang, Ziqiao Meng, Irwin King

* ICDM 2020 

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Graph-based Semi-supervised Learning: A Comprehensive Review


Feb 26, 2021
Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King


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Open-Retrieval Conversational Machine Reading


Feb 17, 2021
Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King

* Technical Report, Dataset: https://github.com/Yifan-Gao/open_retrieval_conversational_machine_reading 

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A Literature Review of Recent Graph Embedding Techniques for Biomedical Data


Jan 20, 2021
Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King


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Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum


Jan 19, 2021
Thomas K. F. Chiu, Helen Meng, Ching-Sing Chai, Irwin King, Savio Wong, Yeung Yam

* 8 pages 5 figures 

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BinaryBERT: Pushing the Limit of BERT Quantization


Dec 31, 2020
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu, Irwin King


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AutoGraph: Automated Graph Neural Network


Nov 23, 2020
Yaoman Li, Irwin King

* Accepted by ICONIP 2020 

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Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings


Nov 03, 2020
Yue Wang, Jing Li, Michael R. Lyu, Irwin King

* EMNLP 2020 (14 pages) 

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Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading


Oct 16, 2020
Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu

* EMNLP 2020 main conference, 11 pages, 3 Figures 

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Effective Data-aware Covariance Estimator from Compressed Data


Oct 10, 2020
Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King

* IEEE Transactions on Neural Networks and Learning Systems, 2019 
* 12 pages, 5 figures 

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Making Online Sketching Hashing Even Faster


Oct 10, 2020
Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King

* IEEE Transactions on Knowledge and Data Engineering, 2019 
* 12 pages, 5 figures 

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Learning 3D Face Reconstruction with a Pose Guidance Network


Oct 09, 2020
Pengpeng Liu, Xintong Han, Michael Lyu, Irwin King, Jia Xu

* ACCV 2020 (Oral) 

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Exploiting Unsupervised Data for Emotion Recognition in Conversations


Oct 06, 2020
Wenxiang Jiao, Michael R. Lyu, Irwin King

* Accepted to the Findings of EMNLP 2020, 8 pages (published version of arXiv:1910.08916) 

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Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation


Oct 06, 2020
Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu

* Accepted to EMNLP 2020 main conference, 12 pages 

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Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning


Oct 04, 2020
Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King

* EMNLP 2020, Findings, 10 pages, 4 figures 

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