← Authors

Qinliang Su

41 papers · 2016–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (85) 🀝 Dynamic Duo (14) πŸ† Keyword Champion (3) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (11) πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ’Ž Century Club (41) πŸ”₯ Unstoppable (10) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (193)

Conferences

ACL (10) EMNLP (10) COLING (4) IJCNLP (4) AAAI (3) IJCAI (3) NIPS (3) ICML (2) AISTATS (1) ICLR (1)

Top co-authors

Jianxing Yu (14) Xiaojun Quan (9) Changyou Chen (9) Zenan Xu (7) Zijing Ou (6) Lawrence Carin (6) Jian Yin (6) Dinghan Shen (5) Chunyuan Li (3) Wenxi Lv (3)

Keywords

document hashing (5) variational inference (5) information retrieval (5) graph neural network (4) contrastive learning (4) binary code (4) representation learning (4) large language model (4) generative model (3) semantic hashing (3) adversarial learning (3) probabilistic modeling (3) neural network (3) question generation (3) anomaly detection (3) variational autoencoder (3) commonsense reasoning (3) latent variable model (2) document retrieval (2) unsupervised learning (2)

Papers

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