Complexity reduction of signal detection by exploiting correlation characteristics of spreading sequences. - Qinliang Su; Aiping Huang; Jing Li 012; Hsiao-Hwa Chen (Int. J. Commun. Syst., 2009)

A Non-Cooperative Method for Path Loss Estimation in Femtocell Networks - Qinliang Su; Aiping Huang; Zhaoyang Zhang 001; Kai Xu; Jin Yang (CoRR, 2010)

Determining the convergence of variance in Gaussian belief propagation via semi-definite programming. - Qinliang Su; Yik-Chung Wu (ISIT, 2014)

Convergence Analysis of the Variance in Gaussian Belief Propagation. - Qinliang Su; Yik-Chung Wu (IEEE Trans. Signal Process., 2014)

On Convergence Conditions of Gaussian Belief Propagation. - Qinliang Su; Yik-Chung Wu (IEEE Trans. Signal Process., 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)

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. - Qinliang Su; Xuejun Liao; Changyou Chen; Lawrence Carin (ICML, 2016)

Unsupervised Learning with Truncated Gaussian Graphical Models. - Qinliang Su; Xuejun Liao; Chunyuan Li; Zhe Gan; Lawrence Carin (AAAI, 2017)

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. - Zhe Gan; Chunyuan Li; Changyou Chen; Yunchen Pu; Qinliang Su; Lawrence Carin (ACL (1), 2017)

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. - Qinliang Su; Xuejun Liao; Lawrence Carin (NIPS, 2017)

Deconvolutional Latent-Variable Model for Text Sequence Matching. - Dinghan Shen; Yizhe Zhang 002; Ricardo Henao; Qinliang Su; Lawrence Carin (AAAI, 2018)

NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. - Dinghan Shen; Qinliang Su; Paidamoyo Chapfuwa; Wenlin Wang; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. - Dinghan Shen; Guoyin Wang 002; Wenlin Wang; Martin Renqiang Min; Qinliang Su; Yizhe Zhang 002; Chunyuan Li; Ricardo Henao; Lawrence Carin (ACL (1), 2018)

Symmetric Variational Autoencoder and Connections to Adversarial Learning. - Liqun Chen 001; Shuyang Dai; Yunchen Pu; Erjin Zhou; Chunyuan Li; Qinliang Su; Changyou Chen; Lawrence Carin (AISTATS, 2018)

Document Hashing with Mixture-Prior Generative Models. - Wei Dong; Qinliang Su; Dinghan Shen; Changyou Chen (EMNLP/IJCNLP (1), 2019)

A Deep Neural Information Fusion Architecture for Textual Network Embeddings. - Zenan Xu; Qinliang Su; Xiaojun Quan; Weijia Zhang (EMNLP/IJCNLP (1), 2019)

A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. - Changyou Chen; Wenlin Wang; Yizhe Zhang 002; Qinliang Su; Lawrence Carin (Sci. China Inf. Sci., 2019)

Fixed Points of Gaussian Belief Propagation and Relation to Convergence. - Bin Li 033; Qinliang Su; Yik-Chung Wu (IEEE Trans. Signal Process., 2019)

Low-Resource Generation of Multi-hop Reasoning Questions. - Jianxing Yu; Wei Liu 061; Shuang Qiu; Qinliang Su; Kai Wang; Xiaojun Quan; Jian Yin 001 (ACL, 2020)

Generative Semantic Hashing Enhanced via Boltzmann Machines. - Lin Zheng; Qinliang Su; Dinghan Shen; Changyou Chen (ACL, 2020)

Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. - Zenan Xu; Zijing Ou; Qinliang Su; Jianxing Yu; Xiaojun Quan; Zhenkun Lin (COLING, 2020)

Constituency Lattice Encoding for Aspect Term Extraction. - Yunyi Yang; Kun Li 003; Xiaojun Quan; Weizhou Shen; Qinliang Su (COLING, 2020)

Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. - Jianxing Yu; Xiaojun Quan; Qinliang Su; Jian Yin 001 (WWW, 2020)

Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning. - Yang Zhao; Ping Yu; Suchismit Mahapatra; Qinliang Su; Changyou Chen (CoRR, 2020)

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 001 (ACL/IJCNLP (1), 2021)

Syntax-Enhanced Pre-trained Model. - Zenan Xu; Daya Guo; Duyu Tang; Qinliang Su; Linjun Shou; Ming Gong 001; Wanjun Zhong; Xiaojun Quan; Daxin Jiang; Nan Duan (ACL/IJCNLP (1), 2021)

OVAE: Out-of-Distribution Detection with Multi-label-enhanced Variational Autoencoders. - Zhenyu Yan 004; Qinliang Su (Big Data (CCF), 2021)

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. - Zijing Ou; Qinliang Su; Jianxing Yu; Ruihui Zhao; Yefeng Zheng 001; Bang Liu (EMNLP (Findings), 2021)

Learning to Answer Psychological Questionnaire for Personality Detection. - Feifan Yang; Tao Yang 033; Xiaojun Quan; Qinliang Su (EMNLP (Findings), 2021)

Unsupervised Hashing with Contrastive Information Bottleneck. - Zexuan Qiu; Qinliang Su; Zijing Ou; Jianxing Yu; Changyou Chen (IJCAI, 2021)

Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification. - Jiaxing Chen; Qinliang Su (IJCNN, 2021)

Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps. - Yue Gao 009; Qinliang Su (IJCNN, 2021)

Network Embedding with Topology-Aware Textual Representations. - Jiaxing Chen; Zenan Xu; Qinliang Su (PRICAI (1), 2021)

Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. - Zexuan Qiu; Qinliang Su; Jianxing Yu; Shijing Si (EMNLP, 2022)

Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. - Bowen Tian; Qinliang Su; Jian Yin 001 (IJCAI, 2022)

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. - Shijing Si; Jianzong Wang; Ruiyi Zhang 002; Qinliang Su; Jing Xiao 006 (IJCNN, 2022)

Learning Neural Set Functions Under the Optimal Subset Oracle. - Zijing Ou; Tingyang Xu; Qinliang Su; Yingzhen Li; Peilin Zhao; Yatao Bian (NeurIPS, 2022)

Improving the exploration efficiency of DQNs via the confidence bound methods. - Yingpeng Wen; Qinliang Su; Minghua Shen; Nong Xiao 001 (Appl. Intell., 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)

Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering. - Zenan Xu; Wanjun Zhong; Qinliang Su; Zijing Ou; Fuwei Zhang (CoRR, 2022)

Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. - Bowen Tian; Qinliang Su; Jianxing Yu (AAAI, 2023)

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. - Zenan Xu; Linjun Shou; Jian Pei 001; Ming Gong 001; Qinliang Su; Xiaojun Quan; Daxin Jiang (AAAI, 2023)

RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks. - Zhaoyang Wang; Zhiyue Liu; Xiaopeng Zheng; Qinliang Su; Jiahai Wang (ACL (1), 2023)

Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference. - Jianxing Yu; Shiqi Wang 016; Libin Zheng; Qinliang Su; Wei Liu 061; Baoquan Zhao; Jian Yin 001 (ACL (Findings), 2023)

Learning Semantic-Rich Relation-Selective Entity Representation for Knowledge Graph Completion. - Zenan Xu; Zexuan Qiu; Qinliang Su (DASFAA (2), 2023)

Multimodal Aspect-Based Sentiment Classification with Knowledge-Injected Transformer. - Zenan Xu; Qinliang Su; Junxi Xiao (ICME, 2023)

Cross-Modal-Aware Representation Learning with Syntactic Hypergraph Convolutional Network for VideoQA. - Zenan Xu; Wanjun Zhong; Qinliang Su; Fuwei Zhang (ICME, 2023)

Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. - Zenan Xu; Xiaojun Meng; Yasheng Wang; Qinliang Su; Zexuan Qiu; Xin Jiang 002; Qun Liu 001 (IJCAI, 2023)

Boosting BERT-Based Knowledge Graph Completion with Contrastive Learning and Hard Sample Training. - Yuan Xu; Qinliang Su (INNS DLIA@IJCNN, 2023)

Unsupervised Hashing with Contrastive Learning by Exploiting Similarity Knowledge and Hidden Structure of Data. - Zhenpeng Song; Qinliang Su; Jiayang Chen (ACM Multimedia, 2023)

Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder. - Jiayang Chen; Qinliang Su (NLPCC (1), 2023)

Multi-Hop Reasoning Question Generation and Its Application. - Jianxing Yu; Qinliang Su; Xiaojun Quan; Jian Yin 001 (IEEE Trans. Knowl. Data Eng., 2023)

Weakly Supervised Anomaly Detection by Utilizing Incomplete Anomaly Information. - Qingqing Fang; Qinliang Su (ACAI, 2024)

Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning. - Yufeng Zhang; Jianxing Yu; Yanghui Rao; Libin Zheng; Qinliang Su; Huaijie Zhu; Jian Yin 001 (ACL (1), 2024)

Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. - Jiayang Chen; Qinliang Su; Zetong Li; Hai Wan; Defu Lian (DASFAA (2), 2024)

Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training. - Zetong Li; Qinliang Su; Shijing Si; Jianxing Yu (EMNLP, 2024)

Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model. - Qian Zhang; Qinliang Su; Jiayang Chen; Zhenpeng Song (EMNLP (Findings), 2024)

Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data. - Wenxi Lv; Qinliang Su; Hai Wan; Hongteng Xu; Wenchao Xu 001 (ICML, 2024)

TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing. - Junxi Xiao; Qinliang Su (NeurIPS, 2024)

AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model. - Zhenyu Yan 004; Qingqing Fang; Wenxi Lv; Qinliang Su (CoRR, 2024)

Deploying Foundation Model Powered Agent Services: A Survey. - Wenchao Xu 001; Jinyu Chen; Peirong Zheng; Xiaoquan Yi; Tianyi Tian; Wenhui Zhu; Quan Wan; Haozhao Wang; Yunfeng Fan; Qinliang Su; Xuemin Shen (CoRR, 2024)

Anomaly Detection Under Contaminated Data With Contamination-Immune Bidirectional GANs. - Qinliang Su; Bowen Tian; Hai Wan; Jian Yin 001 (IEEE Trans. Knowl. Data Eng., 2024)

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning. - Qingqing Fang; Qinliang Su; Wenxi Lv; Wenchao Xu 001; Jianxing Yu (AAAI, 2025)

Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning. - Ziqi Qiu; Jianxing Yu; Yufeng Zhang; Hanjiang Lai; Yanghui Rao; Qinliang Su; Jian Yin 001 (COLING, 2025)

Generating Commonsense Reasoning Questions with Controllable Complexity through Multi-step Structural Composition. - Jianxing Yu; Shiqi Wang 016; Hanjiang Lai; Wenqing Chen; Yanghui Rao; Qinliang Su; Jian Yin 001 (COLING, 2025)

One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning. - Wenxi Lv; Qinliang Su; Wenchao Xu 001 (ICLR, 2025)

Diversified generation of commonsense reasoning questions. - Jianxing Yu; Shiqi Wang 016; Han Yin; Qi Chen; Wei Liu 061; Yanghui Rao; Qinliang Su (Expert Syst. Appl., 2025)

AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation. - Qingqing Fang; Wenxi Lv; Qinliang Su (CoRR, 2025)