| 2026 | ACL | Targeting the Needle, Ignoring the Haystack: Anchoring Crucial Cues for Evolving Scam Call Detection via an LLM-Assisted Classifier. | Tong Wu, Qinliang Su, Jianxing Yu, Bo Liang, Minhua Huang |
| 2025 | AAAI | Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning. | Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu |
| 2025 | COLING | Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning. | Ziqi Qiu, Jianxing Yu, Yufeng Zhang, Hanjiang Lai, Yanghui Rao, Qinliang Su, Jian Yin |
| 2025 | COLING | Generating Commonsense Reasoning Questions with Controllable Complexity through Multi-step Structural Composition. | Jianxing Yu, Shiqi Wang, Hanjiang Lai, Wenqing Chen, Yanghui Rao, Qinliang Su, Jian Yin |
| 2025 | EMNLP | Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering. | Zetong Li, Qinliang Su, Minhua Huang, Yin Yang |
| 2025 | EMNLP | Detecting Continuously Evolving Scam Calls under Limited Annotation: A LLM-Augmented Expert Rule Framework. | Haoyu Ma, Qinliang Su, Minhua Huang, Wu Kai |
| 2025 | EMNLP | HierPrompt: Zero-Shot Hierarchical Text Classification with LLM-Enhanced Prototypes. | Qian Zhang, Qinliang Su, Wei Zhu, Pang Yachun |
| 2025 | ICLR | One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning. | Wenxi Lv, Qinliang Su, Wenchao Xu |
| 2024 | ACL | 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 |
| 2024 | DASFAA | Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. | Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian |
| 2024 | EMNLP | Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training. | Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu |
| 2024 | EMNLP | Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model. | Qian Zhang, Qinliang Su, Jiayang Chen, Zhenpeng Song |
| 2024 | ICML | Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data. | Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu |
| 2023 | AAAI | Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. | Bowen Tian, Qinliang Su, Jianxing Yu |
| 2023 | AAAI | A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. | Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang |
| 2023 | ACL | RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks. | Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su, Jiahai Wang |
| 2023 | ACL | 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 |
| 2023 | DASFAA | Learning Semantic-Rich Relation-Selective Entity Representation for Knowledge Graph Completion. | Zenan Xu, Zexuan Qiu, Qinliang Su |
| 2023 | IJCAI | Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. | Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu |
| 2022 | EMNLP | Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. | Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si |
| 2022 | IJCAI | Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. | Bowen Tian, Qinliang Su, Jian Yin |
| 2022 | IJCNN | Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. | Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | EMNLP | Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. | Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2021 | EMNLP | Learning to Answer Psychological Questionnaire for Personality Detection. | Feifan Yang, Tao Yang, Xiaojun Quan, Qinliang Su |
| 2021 | IJCAI | Unsupervised Hashing with Contrastive Information Bottleneck. | Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen |
| 2021 | IJCNN | Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification. | Jiaxing Chen, Qinliang Su |
| 2021 | IJCNN | Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps. | Yue Gao, Qinliang Su |
| 2021 | PRICAI | Network Embedding with Topology-Aware Textual Representations. | Jiaxing Chen, Zenan Xu, Qinliang Su |
| 2020 | ACL | Low-Resource Generation of Multi-hop Reasoning Questions. | Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin |
| 2020 | ACL | Generative Semantic Hashing Enhanced via Boltzmann Machines. | Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen |
| 2020 | COLING | Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. | Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin |
| 2020 | COLING | Constituency Lattice Encoding for Aspect Term Extraction. | Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen, Qinliang Su |
| 2020 | WWW | Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. | Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin |
| 2019 | EMNLP | Document Hashing with Mixture-Prior Generative Models. | Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen |
| 2019 | EMNLP | A Deep Neural Information Fusion Architecture for Textual Network Embeddings. | Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang |
| 2018 | AAAI | Deconvolutional Latent-Variable Model for Text Sequence Matching. | Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin |
| 2018 | ACL | 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 |
| 2018 | ACL | 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 |
| 2018 | AISTATS | Symmetric Variational Autoencoder and Connections to Adversarial Learning. | Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin |
| 2017 | AAAI | Unsupervised Learning with Truncated Gaussian Graphical Models. | Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin |
| 2017 | ACL | Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. | Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin |
| 2016 | ICML | Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. | Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin |
| 2014 | ISIT | Determining the convergence of variance in Gaussian belief propagation via semi-definite programming. | Qinliang Su, Yik-Chung Wu |