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2020 – today
- 2020
[c16]Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen:
Generative Semantic Hashing Enhanced via Boltzmann Machines. ACL 2020: 777-788- [c15]Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin:
Low-Resource Generation of Multi-hop Reasoning Questions. ACL 2020: 6729-6739 - [c14]Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen, Qinliang Su:
Constituency Lattice Encoding for Aspect Term Extraction. COLING 2020: 844-855 - [c13]Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin:
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. COLING 2020: 6809-6819 - [c12]Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin:
Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. WWW 2020: 281-291 - [i13]Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen:
Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning. CoRR abs/2004.10603 (2020) - [i12]Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen:
Generative Semantic Hashing Enhanced via Boltzmann Machines. CoRR abs/2006.08858 (2020) - [i11]Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin:
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. CoRR abs/2010.14047 (2020) - [i10]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Nan Duan, Daxin Jiang:
Syntax-Enhanced Pre-trained Model. CoRR abs/2012.14116 (2020)
2010 – 2019
- 2019
- [j6]Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin
:
A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. Sci. China Inf. Sci. 62(1): 12101:1-12101:13 (2019) - [j5]Bin Li, Qinliang Su, Yik-Chung Wu:
Fixed Points of Gaussian Belief Propagation and Relation to Convergence. IEEE Trans. Signal Process. 67(23): 6025-6038 (2019) - [c11]Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang:
A Deep Neural Information Fusion Architecture for Textual Network Embeddings. EMNLP/IJCNLP (1) 2019: 4697-4705 - [c10]Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen:
Document Hashing with Mixture-Prior Generative Models. EMNLP/IJCNLP (1) 2019: 5225-5234 - [i9]Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang:
A Deep Neural Information Fusion Architecture for Textual Network Embeddings. CoRR abs/1908.11057 (2019) - [i8]Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen:
Document Hashing with Mixture-Prior Generative Models. CoRR abs/1908.11078 (2019) - 2018
- [c9]Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI 2018: 5438-5445 - [c8]Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin:
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) 2018: 440-450 - [c7]Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin:
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) 2018: 2041-2050 - [c6]Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin:
Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS 2018: 661-669 - [i7]Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao:
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR abs/1805.05361 (2018) - [i6]Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin:
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR abs/1805.09843 (2018) - 2017
- [c5]Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
Unsupervised Learning with Truncated Gaussian Graphical Models. AAAI 2017: 2583-2589 - [c4]Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin:
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. ACL (1) 2017: 321-331 - [c3]Qinliang Su, Xuejun Liao, Lawrence Carin:
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. NIPS 2017: 4486-4495 - [i5]Qinliang Su, Xuejun Liao, Lawrence Carin:
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. CoRR abs/1709.06123 (2017) - [i4]Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin:
Deconvolutional Latent-Variable Model for Text Sequence Matching. CoRR abs/1709.07109 (2017) - 2016
- [c2]Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin:
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. ICML 2016: 1948-1957 - [i3]Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
Unsupervised Learning with Truncated Gaussian Graphical Models. CoRR abs/1611.04920 (2016) - [i2]Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin:
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR abs/1611.08034 (2016) - 2015
- [j4]Qinliang Su, Yik-Chung Wu:
On Convergence Conditions of Gaussian Belief Propagation. IEEE Trans. Signal Process. 63(5): 1144-1155 (2015) - [j3]Qinliang Su, Yik-Chung Wu:
Distributed Estimation of Variance in Gaussian Graphical Model via Belief Propagation: Accuracy Analysis and Improvement. IEEE Trans. Signal Process. 63(23): 6258-6271 (2015) - 2014
- [j2]Qinliang Su, Yik-Chung Wu:
Convergence Analysis of the Variance in Gaussian Belief Propagation. IEEE Trans. Signal Process. 62(19): 5119-5131 (2014) - [c1]Qinliang Su, Yik-Chung Wu:
Determining the convergence of variance in Gaussian belief propagation via semi-definite programming. ISIT 2014: 2614-2618 - 2010
- [i1]Qinliang Su, Aiping Huang, Zhaoyang Zhang, Kai Xu, Jin Yang:
A Non-Cooperative Method for Path Loss Estimation in Femtocell Networks. CoRR abs/1008.0270 (2010)
2000 – 2009
- 2009
- [j1]Qinliang Su, Aiping Huang, Jing Li, Hsiao-Hwa Chen:
Complexity reduction of signal detection by exploiting correlation characteristics of spreading sequences. Int. J. Commun. Syst. 22(11): 1427-1443 (2009)
Coauthor Index
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