Qinliang Su

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025 Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering EMNLP 2025 Detecting Continuously Evolving Scam Calls under Limited Annotation: A LLM-Augmented Expert Rule Framework EMNLP 2025 Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning COLING 2025 Generating Commonsense Reasoning Questions with Controllable Complexity through Multi-step Structural Composition COLING 2025 HierPrompt: Zero-Shot Hierarchical Text Classification with LLM-Enhanced Prototypes EMNLP 2025 One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning ICLR 2025 Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data ICML 2024 Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model EMNLP 2024 Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning ACL 2024 Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training EMNLP 2024 TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NeurIPS 2024 A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension AAAI 2023 Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference ACL 2023 Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video IJCAI 2023 Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks AAAI 2023 RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks ACL 2023 Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs IJCAI 2022 Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization EMNLP 2022 Learning Neural Set Functions Under the Optimal Subset Oracle NeurIPS 2022 Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval ACL 2021 Learning to Answer Psychological Questionnaire for Personality Detection EMNLP 2021 Refining BERT Embeddings for Document Hashing via Mutual Information Maximization EMNLP 2021 Syntax-Enhanced Pre-trained Model ACL 2021 Unsupervised Hashing with Contrastive Information Bottleneck IJCAI 2021 Constituency Lattice Encoding for Aspect Term Extraction COLING 2020 Embedding Dynamic Attributed Networks by Modeling the Evolution Processes COLING 2020 Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020 Low-Resource Generation of Multi-hop Reasoning Questions ACL 2020 A Deep Neural Information Fusion Architecture for Textual Network Embeddings EMNLP 2019 Document Hashing with Mixture-Prior Generative Models EMNLP 2019 Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms ACL 2018 NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018 Symmetric Variational Autoencoder and Connections to Adversarial Learning AISTATS 2018 A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NeurIPS 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016