Qinliang Su

According to our database, Qinliang Su authored at least 52 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-Hop Reasoning Question Generation and Its Application.

Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin

IEEE Trans. Knowl. Data Eng., 2023

Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder.

Jiayang Chen, Qinliang Su

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Unsupervised Hashing with Contrastive Learning by Exploiting Similarity Knowledge and Hidden Structure of Data.

Zhenpeng Song, Qinliang Su, Jiayang Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Boosting BERT-Based Knowledge Graph Completion with Contrastive Learning and Hard Sample Training.

Yuan Xu, Qinliang Su

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video.

Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Cross-Modal-Aware Representation Learning with Syntactic Hypergraph Convolutional Network for VideoQA.

Zenan Xu, Wanjun Zhong, Qinliang Su, Fuwei Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Multimodal Aspect-Based Sentiment Classification with Knowledge-Injected Transformer.

Zenan Xu, Qinliang Su, Junxi Xiao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Learning Semantic-Rich Relation-Selective Entity Representation for Knowledge Graph Completion.

Zenan Xu, Zexuan Qiu, Qinliang Su

Proceedings of the Database Systems for Advanced Applications, 2023

Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference.

Jianxing Yu, Shiqi Wang, Libin Zheng, Qinliang Su, Wei Liu, Baoquan Zhao, Jian Yin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks.

Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su, Jiahai Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension.

Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks.

Bowen Tian, Qinliang Su, Jianxing Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering.

Zenan Xu, Wanjun Zhong, Qinliang Su, Zijing Ou, Fuwei Zhang

CoRR, 2022

Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference.

Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian

CoRR, 2022

Improving the exploration efficiency of DQNs via the confidence bound methods.

Yingpeng Wen, Qinliang Su, Minghua Shen, Nong Xiao

Appl. Intell., 2022

Learning Neural Set Functions Under the Optimal Subset Oracle.

Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information.

Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs.

Bowen Tian, Qinliang Su, Jian Yin

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization.

Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Network Embedding with Topology-Aware Textual Representations.

Jiaxing Chen, Zenan Xu, Qinliang Su

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps.

Yue Gao, Qinliang Su

Proceedings of the International Joint Conference on Neural Networks, 2021

Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification.

Jiaxing Chen, Qinliang Su

Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Hashing with Contrastive Information Bottleneck.

Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning to Answer Psychological Questionnaire for Personality Detection.

Feifan Yang, Tao Yang, Xiaojun Quan, Qinliang Su

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.

Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

OVAE: Out-of-Distribution Detection with Multi-label-enhanced Variational Autoencoders.

Zhenyu Yan, Qinliang Su

Proceedings of the Big Data - 9th CCF Conference, 2021

Syntax-Enhanced Pre-trained Model.

Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.

Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning.

Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen

CoRR, 2020

Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension.

Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Constituency Lattice Encoding for Aspect Term Extraction.

Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen, Qinliang Su

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Embedding Dynamic Attributed Networks by Modeling the Evolution Processes.

Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Generative Semantic Hashing Enhanced via Boltzmann Machines.

Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Low-Resource Generation of Multi-hop Reasoning Questions.

Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Fixed Points of Gaussian Belief Propagation and Relation to Convergence.

Bin Li, Qinliang Su, Yik-Chung Wu

IEEE Trans. Signal Process., 2019

A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC.

Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin

Sci. China Inf. Sci., 2019

A Deep Neural Information Fusion Architecture for Textual Network Embeddings.

Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Document Hashing with Mixture-Prior Generative Models.

Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms.

Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing.

Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Deconvolutional Latent-Variable Model for Text Sequence Matching.

Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks.

Qinliang Su, Xuejun Liao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling.

Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Unsupervised Learning with Truncated Gaussian Graphical Models.

Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models.

Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Distributed Estimation of Variance in Gaussian Graphical Model via Belief Propagation: Accuracy Analysis and Improvement.

Qinliang Su, Yik-Chung Wu

IEEE Trans. Signal Process., 2015

On Convergence Conditions of Gaussian Belief Propagation.

Qinliang Su, Yik-Chung Wu

IEEE Trans. Signal Process., 2015

2014

Convergence Analysis of the Variance in Gaussian Belief Propagation.

Qinliang Su, Yik-Chung Wu

IEEE Trans. Signal Process., 2014

Determining the convergence of variance in Gaussian belief propagation via semi-definite programming.

Qinliang Su, Yik-Chung Wu

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2010

A Non-Cooperative Method for Path Loss Estimation in Femtocell Networks

Qinliang Su, Aiping Huang, Zhaoyang Zhang, Kai Xu, Jin Yang

CoRR, 2010

2009

Complexity reduction of signal detection by exploiting correlation characteristics of spreading sequences.

Qinliang Su, Aiping Huang, Jing Li, Hsiao-Hwa Chen

Int. J. Commun. Syst., 2009