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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
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