Qinliang Su

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 66

Top Topics

Belief Propagation

Boltzmann Machines

Mutual Information Maximization

Gaussian Graphical Models

Top Venues

IEEE Trans. Signal Process.

Publications

Yufeng Zhang, Jianxing Yu, Yanghui Rao, Libin Zheng, Qinliang Su, Huaijie Zhu, Jian Yin
Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning. ACL (1) (2024)
Zenan Xu, Qinliang Su, Junxi Xiao
Multimodal Aspect-Based Sentiment Classification with Knowledge-Injected Transformer. ICME (2023)
Jianxing Yu, Shiqi Wang, Libin Zheng, Qinliang Su, Wei Liu, Baoquan Zhao, Jian Yin
Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference. ACL (Findings) (2023)
Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. CoRR (2023)
Yuan Xu, Qinliang Su
Boosting BERT-Based Knowledge Graph Completion with Contrastive Learning and Hard Sample Training. INNS DLIA@IJCNN (2023)
Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. AAAI (2023)
Bowen Tian, Qinliang Su, Jianxing Yu
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. CoRR (2023)
Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin
Multi-Hop Reasoning Question Generation and Its Application. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Jiayang Chen, Qinliang Su
Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder. NLPCC (1) (2023)
Bowen Tian, Qinliang Su, Jianxing Yu
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. AAAI (2023)
Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu
Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. IJCAI (2023)
Zenan Xu, Zexuan Qiu, Qinliang Su
Learning Semantic-Rich Relation-Selective Entity Representation for Knowledge Graph Completion. DASFAA (2) (2023)
Zenan Xu, Wanjun Zhong, Qinliang Su, Fuwei Zhang
Cross-Modal-Aware Representation Learning with Syntactic Hypergraph Convolutional Network for VideoQA. ICME (2023)
Zhenpeng Song, Qinliang Su, Jiayang Chen
Unsupervised Hashing with Contrastive Learning by Exploiting Similarity Knowledge and Hidden Structure of Data. ACM Multimedia (2023)
Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su, Jiahai Wang
RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks. ACL (1) (2023)
Bowen Tian, Qinliang Su, Jian Yin
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. CoRR (2022)
Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. IJCNN (2022)
Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. EMNLP (2022)
Bowen Tian, Qinliang Su, Jian Yin
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. IJCAI (2022)
Yingpeng Wen, Qinliang Su, Minghua Shen, Nong Xiao
Improving the exploration efficiency of DQNs via the confidence bound methods. Appl. Intell. 52 (13) (2022)
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
Learning Neural Set Functions Under the Optimal Subset Oracle. NeurIPS (2022)
Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR (2022)
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference. CoRR (2022)
Zenan Xu, Wanjun Zhong, Qinliang Su, Zijing Ou, Fuwei Zhang
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering. CoRR (2022)
Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. CoRR (2022)
Feifan Yang, Tao Yang, Xiaojun Quan, Qinliang Su
Learning to Answer Psychological Questionnaire for Personality Detection. EMNLP (Findings) (2021)
Jiaxing Chen, Qinliang Su
Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification. IJCNN (2021)
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. ACL/IJCNLP (1) (2021)
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
Unsupervised Hashing with Contrastive Information Bottleneck. CoRR (2021)
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. CoRR (2021)
Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan
Syntax-Enhanced Pre-trained Model. ACL/IJCNLP (1) (2021)
Jiaxing Chen, Zenan Xu, Qinliang Su
Network Embedding with Topology-Aware Textual Representations. PRICAI (1) (2021)
Yue Gao, Qinliang Su
Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps. IJCNN (2021)
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. CoRR (2021)
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. EMNLP (Findings) (2021)
Zhenyu Yan, Qinliang Su
OVAE: Out-of-Distribution Detection with Multi-label-enhanced Variational Autoencoders. Big Data (CCF) (2021)
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
Unsupervised Hashing with Contrastive Information Bottleneck. IJCAI (2021)
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 (2020)
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. CoRR (2020)
Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen
Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning. CoRR (2020)
Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen
Generative Semantic Hashing Enhanced via Boltzmann Machines. ACL (2020)
Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen, Qinliang Su
Constituency Lattice Encoding for Aspect Term Extraction. COLING (2020)
Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen
Generative Semantic Hashing Enhanced via Boltzmann Machines. CoRR (2020)
Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin
Low-Resource Generation of Multi-hop Reasoning Questions. ACL (2020)
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. COLING (2020)
Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin
Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. WWW (2020)
Bin Li, Qinliang Su, Yik-Chung Wu
Fixed Points of Gaussian Belief Propagation and Relation to Convergence. IEEE Trans. Signal Process. 67 (23) (2019)
Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang
A Deep Neural Information Fusion Architecture for Textual Network Embeddings. EMNLP/IJCNLP (1) (2019)
Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
Document Hashing with Mixture-Prior Generative Models. EMNLP/IJCNLP (1) (2019)
Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
Document Hashing with Mixture-Prior Generative Models. CoRR (2019)
Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang
A Deep Neural Information Fusion Architecture for Textual Network Embeddings. CoRR (2019)
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) (2019)
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 (2018)
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)
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)
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)
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 (2018)
Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin
Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI (2018)
Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin
Unsupervised Learning with Truncated Gaussian Graphical Models. AAAI (2017)
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)
Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin
Deconvolutional Latent-Variable Model for Text Sequence Matching. CoRR (2017)
Qinliang Su, Xuejun Liao, Lawrence Carin
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. NIPS (2017)
Qinliang Su, Xuejun Liao, Lawrence Carin
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. CoRR (2017)
Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR (2016)
Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. ICML (2016)
Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin
Unsupervised Learning with Truncated Gaussian Graphical Models. CoRR (2016)
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) (2015)
Qinliang Su, Yik-Chung Wu
On Convergence Conditions of Gaussian Belief Propagation. IEEE Trans. Signal Process. 63 (5) (2015)
Qinliang Su, Yik-Chung Wu
Convergence Analysis of the Variance in Gaussian Belief Propagation. IEEE Trans. Signal Process. 62 (19) (2014)
Qinliang Su, Yik-Chung Wu
Determining the convergence of variance in Gaussian belief propagation via semi-definite programming. ISIT (2014)
Qinliang Su, Aiping Huang, Zhaoyang Zhang, Kai Xu, Jin Yang
A Non-Cooperative Method for Path Loss Estimation in Femtocell Networks CoRR (2010)
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) (2009)