default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQinliang Su
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j9]Qinliang Su
, Bowen Tian, Hai Wan, Jian Yin:
Anomaly Detection Under Contaminated Data With Contamination-Immune Bidirectional GANs. IEEE Trans. Knowl. Data Eng. 36(11): 5605-5620 (2024)- [c44]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: 9074-9089 - [c43]Qian Zhang, Qinliang Su, Jiayang Chen, Zhenpeng Song:
Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model. EMNLP (Findings) 2024: 321-333 - [c42]Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu:
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training. EMNLP 2024: 14897-14913 - [c41]Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu:
Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data. ICML 2024 - [i24]Zhenyu Yan, Qingqing Fang, Wenxi Lv, Qinliang Su:
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model. CoRR abs/2408.01960 (2024) - 2023
- [j8]Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin:
Multi-Hop Reasoning Question Generation and Its Application. IEEE Trans. Knowl. Data Eng. 35(1): 725-740 (2023) - [c40]Bowen Tian, Qinliang Su, Jianxing Yu:
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. AAAI 2023: 9989-9996 - [c39]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: 13861-13868 - [c38]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: 470-486 - [c37]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: 2757-2774 - [c36]Zenan Xu, Zexuan Qiu, Qinliang Su:
Learning Semantic-Rich Relation-Selective Entity Representation for Knowledge Graph Completion. DASFAA (2) 2023: 656-672 - [c35]Zenan Xu, Wanjun Zhong, Qinliang Su, Fuwei Zhang:
Cross-Modal-Aware Representation Learning with Syntactic Hypergraph Convolutional Network for VideoQA. ICME 2023: 384-389 - [c34]Zenan Xu, Qinliang Su, Junxi Xiao:
Multimodal Aspect-Based Sentiment Classification with Knowledge-Injected Transformer. ICME 2023: 1379-1384 - [c33]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: 5242-5250 - [c32]Yuan Xu, Qinliang Su:
Boosting BERT-Based Knowledge Graph Completion with Contrastive Learning and Hard Sample Training. INNS DLIA@IJCNN 2023: 71-80 - [c31]Zhenpeng Song, Qinliang Su, Jiayang Chen:
Unsupervised Hashing with Contrastive Learning by Exploiting Similarity Knowledge and Hidden Structure of Data. ACM Multimedia 2023: 6350-6358 - [c30]Jiayang Chen, Qinliang Su:
Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder. NLPCC (1) 2023: 563-575 - [i23]Bowen Tian, Qinliang Su, Jianxing Yu:
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. CoRR abs/2302.01722 (2023) - [i22]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 abs/2305.04824 (2023) - 2022
- [j7]Yingpeng Wen, Qinliang Su, Minghua Shen, Nong Xiao:
Improving the exploration efficiency of DQNs via the confidence bound methods. Appl. Intell. 52(13): 15447-15461 (2022) - [c29]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: 853-863 - [c28]Bowen Tian, Qinliang Su, Jian Yin:
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. IJCAI 2022: 2255-2261 - [c27]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: 1-7 - [c26]Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian:
Learning Neural Set Functions Under the Optimal Subset Oracle. NeurIPS 2022 - [i21]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 abs/2203.01693 (2022) - [i20]Bowen Tian, Qinliang Su, Jian Yin:
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. CoRR abs/2204.13335 (2022) - [i19]Zenan Xu, Wanjun Zhong, Qinliang Su, Zijing Ou, Fuwei Zhang:
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering. CoRR abs/2205.06530 (2022) - [i18]Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR abs/2205.13300 (2022) - [i17]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 abs/2210.17170 (2022) - 2021
- [c25]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: 2238-2249 - [c24]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: 5412-5422 - [c23]Zhenyu Yan, Qinliang Su:
OVAE: Out-of-Distribution Detection with Multi-label-enhanced Variational Autoencoders. Big Data (CCF) 2021: 233-247 - [c22]Feifan Yang, Tao Yang, Xiaojun Quan, Qinliang Su:
Learning to Answer Psychological Questionnaire for Personality Detection. EMNLP (Findings) 2021: 1131-1142 - [c21]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: 2360-2369 - [c20]Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen:
Unsupervised Hashing with Contrastive Information Bottleneck. IJCAI 2021: 959-965 - [c19]Jiaxing Chen, Qinliang Su:
Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification. IJCNN 2021: 1-8 - [c18]Yue Gao, Qinliang Su:
Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps. IJCNN 2021: 1-8 - [c17]Jiaxing Chen, Zenan Xu, Qinliang Su:
Network Embedding with Topology-Aware Textual Representations. PRICAI (1) 2021: 425-439 - [i16]Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen:
Unsupervised Hashing with Contrastive Information Bottleneck. CoRR abs/2105.06138 (2021) - [i15]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 abs/2105.13066 (2021) - [i14]Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu:
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. CoRR abs/2109.02867 (2021) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
