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Modeling Topical Relevance for Multi-Turn Dialogue Generation

Sep 27, 2020
Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin

* the 29th International Joint Conference on Artificial Intelligence(IJCAI 2020) 

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CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data

Jun 08, 2020
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester


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Robust Reinforcement Learning with Wasserstein Constraint

Jun 01, 2020
Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhiming Ma, Dawei Yin


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Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight

Apr 07, 2020
Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao, Dawei Yin

* To appear at ACL 2020 (long paper) 

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Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation

Mar 16, 2020
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin

* Accepted to AAAI 2020 

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Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network

Mar 04, 2020
Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin

* Accepted by AAAI 2020 

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Adaptive Parameterization for Neural Dialogue Generation

Jan 18, 2020
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin

* Published as a long paper in EMNLP 2019 

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GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Jan 17, 2020
Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang


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Off-policy Learning for Multiple Loggers

Aug 05, 2019
Li He, Long Xia, Wei Zeng, Zhi-Ming Ma, Yihong Zhao, Dawei Yin


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Toward Simulating Environments in Reinforcement Learning Based Recommendations

Jun 27, 2019
Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang


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Graph Neural Networks for Social Recommendation

Feb 19, 2019
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, Dawei Yin

* accepted by www2019 conference 

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Product-Aware Answer Generation in E-Commerce Question-Answering

Jan 24, 2019
Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan

* Accepted by WSDM 2019 

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Reinforcement Learning for Online Information Seeking

Dec 18, 2018
Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin


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Streaming Graph Neural Networks

Nov 06, 2018
Yao Ma, Ziyi Guo, Zhaochun Ren, Eric Zhao, Jiliang Tang, Dawei Yin


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Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation

Aug 31, 2018
Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin

* The 27th ACM International Conference on Information and Knowledge Management, 2018 

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Linked Recurrent Neural Networks

Aug 19, 2018
Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang


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Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

Aug 10, 2018
Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin

* arXiv admin note: substantial text overlap with arXiv:1801.00209 

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A Survey on Dialogue Systems: Recent Advances and New Frontiers

Jan 11, 2018
Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang

* 13 pages. arXiv admin note: text overlap with arXiv:1703.01008 by other authors 

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Deep Reinforcement Learning for List-wise Recommendations

Jan 05, 2018
Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Dawei Yin, Yihong Zhao, Jiliang Tang


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Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data

Aug 14, 2016
Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang

* Substantially improved version of arXiv:1411.2331 

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Streaming Recommender Systems

Jul 21, 2016
Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang


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Consistent Collective Matrix Completion under Joint Low Rank Structure

Apr 07, 2015
Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang

* 19 pages, 3 figures 

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N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data

Nov 10, 2014
Makoto Yamada, Avishek Saha, Hua Ouyang, Dawei Yin, Yi Chang

* arXiv admin note: text overlap with arXiv:1202.0515 

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