Qinliang Su - RankMe

96 papers A* 21A 3B 9Journal 41Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated Optimization of Large Mixture-of-Experts Models by Density-Aware Multi-Stage Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jianxing Yu, Haowei Jiang, Huaijie Zhu, Wenqing Chen, Yanghui Rao, Qinliang Su, Jian Yin
2026	J	`jnl`	AnomalySD: One-for-all few-shot anomaly detection via pre-trained diffusion models. Comput. Vis. Image Underst. Zhenyu Yan, Qingqing Fang, Wenxi Lv, Qinliang Su
2026	J	`jnl`	Deploying Foundation Model Powered Agent Services: A Survey. IEEE Commun. Surv. Tutorials Wenchao Xu, Jinyu Chen, Peirong Zheng, Xiaoquan Yi, Tianyi Tian, Wenhui Zhu, Quan Wan, Haozhao Wang, Yunfeng Fan, Qinliang Su, Xuemin Shen
2026	J	`jnl`	Joint structure refining and node clustering for graphs with noisy edges. Neurocomputing Yongxin Peng, Qinliang Su
2025	A*	`conf`	AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation. ACM Multimedia Qingqing Fang, Wenxi Lv, Qinliang Su
2025	J	`jnl`	AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation. CoRR Qingqing Fang, Wenxi Lv, Qinliang Su
2025	A*	`conf`	Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning. AAAI Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu
2025	A*	`conf`	Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering. EMNLP Zetong Li, Qinliang Su, Minhua Huang, Yin Yang
2025	—	`conf`	Detecting Continuously Evolving Scam Calls under Limited Annotation: A LLM-Augmented Expert Rule Framework. EMNLP (Findings) Haoyu Ma, Qinliang Su, Minhua Huang, Wu Kai
2025	B	`conf`	Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning. COLING Ziqi Qiu, Jianxing Yu, Yufeng Zhang, Hanjiang Lai, Yanghui Rao, Qinliang Su, Jian Yin
2025	J	`jnl`	Diversified generation of commonsense reasoning questions. Expert Syst. Appl. Jianxing Yu, Shiqi Wang, Han Yin, Qi Chen, Wei Liu, Yanghui Rao, Qinliang Su
2025	B	`conf`	Generating Commonsense Reasoning Questions with Controllable Complexity through Multi-step Structural Composition. COLING Jianxing Yu, Shiqi Wang, Hanjiang Lai, Wenqing Chen, Yanghui Rao, Qinliang Su, Jian Yin
2025	—	`conf`	HierPrompt: Zero-Shot Hierarchical Text Classification with LLM-Enhanced Prototypes. EMNLP (Findings) Qian Zhang, Qinliang Su, Wei Zhu, Pang Yachun
2025	A*	`conf`	One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning. ICLR Wenxi Lv, Qinliang Su, Wenchao Xu
2024	J	`jnl`	Anomaly Detection Under Contaminated Data With Contamination-Immune Bidirectional GANs. IEEE Trans. Knowl. Data Eng. Qinliang Su, Bowen Tian, Hai Wan, Jian Yin
2024	J	`jnl`	AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Model. CoRR Zhenyu Yan, Qingqing Fang, Wenxi Lv, Qinliang Su
2024	J	`jnl`	Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning. CoRR Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu
2024	A*	`conf`	Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data. ICML Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu
2024	J	`jnl`	Deploying Foundation Model Powered Agent Services: A Survey. CoRR Wenchao Xu, Jinyu Chen, Peirong Zheng, Xiaoquan Yi, Tianyi Tian, Wenhui Zhu, Quan Wan, Haozhao Wang, Yunfeng Fan, Qinliang Su, Xuemin Shen
2024	—	`conf`	Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. DASFAA (2) Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian
2024	—	`conf`	Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model. EMNLP (Findings) Qian Zhang, Qinliang Su, Jiayang Chen, Zhenpeng Song
2024	—	`conf`	Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning. ACL (1) Yufeng Zhang, Jianxing Yu, Yanghui Rao, Libin Zheng, Qinliang Su, Huaijie Zhu, Jian Yin
2024	A*	`conf`	Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training. EMNLP Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu
2024	A*	`conf`	TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing. NeurIPS Junxi Xiao, Qinliang Su
2024	—	`conf`	Weakly Supervised Anomaly Detection by Utilizing Incomplete Anomaly Information. ACAI Qingqing Fang, Qinliang Su
2023	A*	`conf`	A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. AAAI Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang
2023	—	`conf`	Boosting BERT-Based Knowledge Graph Completion with Contrastive Learning and Hard Sample Training. INNS DLIA@IJCNN Yuan Xu, Qinliang Su
2023	A	`conf`	Cross-Modal-Aware Representation Learning with Syntactic Hypergraph Convolutional Network for VideoQA. ICME Zenan Xu, Wanjun Zhong, Qinliang Su, Fuwei Zhang
2023	—	`conf`	Exploiting Multiple Features for Hash Codes Learning with Semantic-Alignment-Promoting Variational Auto-encoder. NLPCC (1) Jiayang Chen, Qinliang Su
2023	—	`conf`	Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference. ACL (Findings) Jianxing Yu, Shiqi Wang, Libin Zheng, Qinliang Su, Wei Liu, Baoquan Zhao, Jian Yin
2023	—	`conf`	Learning Semantic-Rich Relation-Selective Entity Representation for Knowledge Graph Completion. DASFAA (2) Zenan Xu, Zexuan Qiu, Qinliang Su
2023	A*	`conf`	Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. IJCAI Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu
2023	J	`jnl`	Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video. CoRR Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu
2023	A*	`conf`	Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. AAAI Bowen Tian, Qinliang Su, Jianxing Yu
2023	J	`jnl`	Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks. CoRR Bowen Tian, Qinliang Su, Jianxing Yu
2023	J	`jnl`	Multi-Hop Reasoning Question Generation and Its Application. IEEE Trans. Knowl. Data Eng. Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin
2023	A	`conf`	Multimodal Aspect-Based Sentiment Classification with Knowledge-Injected Transformer. ICME Zenan Xu, Qinliang Su, Junxi Xiao
2023	—	`conf`	RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks. ACL (1) Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su, Jiahai Wang
2023	A*	`conf`	Unsupervised Hashing with Contrastive Learning by Exploiting Similarity Knowledge and Hidden Structure of Data. ACM Multimedia Zhenpeng Song, Qinliang Su, Jiayang Chen
2022	A*	`conf`	Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. IJCAI Bowen Tian, Qinliang Su, Jian Yin
2022	J	`jnl`	Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs. CoRR Bowen Tian, Qinliang Su, Jian Yin
2022	A*	`conf`	Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. EMNLP Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
2022	J	`jnl`	Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. CoRR Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
2022	B	`conf`	Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. IJCNN Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
2022	J	`jnl`	Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
2022	J	`jnl`	Improving the exploration efficiency of DQNs via the confidence bound methods. Appl. Intell. Yingpeng Wen, Qinliang Su, Minghua Shen, Nong Xiao
2022	A*	`conf`	Learning Neural Set Functions Under the Optimal Subset Oracle. NeurIPS Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
2022	J	`jnl`	Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference. CoRR Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
2022	J	`jnl`	Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering. CoRR Zenan Xu, Wanjun Zhong, Qinliang Su, Zijing Ou, Fuwei Zhang
2021	B	`conf`	Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification. IJCNN Jiaxing Chen, Qinliang Su
2021	—	`conf`	Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. ACL/IJCNLP (1) Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021	J	`jnl`	Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. CoRR Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021	—	`conf`	Learning to Answer Psychological Questionnaire for Personality Detection. EMNLP (Findings) Feifan Yang, Tao Yang, Xiaojun Quan, Qinliang Su
2021	—	`conf`	Network Embedding with Topology-Aware Textual Representations. PRICAI (1) Jiaxing Chen, Zenan Xu, Qinliang Su
2021	B	`conf`	OVAE: Out-of-Distribution Detection with Multi-label-enhanced Variational Autoencoders. Big Data (CCF) Zhenyu Yan, Qinliang Su
2021	B	`conf`	Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps. IJCNN Yue Gao, Qinliang Su
2021	—	`conf`	Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. EMNLP (Findings) Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
2021	J	`jnl`	Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. CoRR Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
2021	—	`conf`	Syntax-Enhanced Pre-trained Model. ACL/IJCNLP (1) Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan
2021	A*	`conf`	Unsupervised Hashing with Contrastive Information Bottleneck. IJCAI Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2021	J	`jnl`	Unsupervised Hashing with Contrastive Information Bottleneck. CoRR Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2020	B	`conf`	Constituency Lattice Encoding for Aspect Term Extraction. COLING Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen, Qinliang Su
2020	J	`jnl`	Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning. CoRR Yang Zhao, Ping Yu, Suchismit Mahapatra, Qinliang Su, Changyou Chen
2020	B	`conf`	Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. COLING Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
2020	J	`jnl`	Embedding Dynamic Attributed Networks by Modeling the Evolution Processes. CoRR Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
2020	A*	`conf`	Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. WWW Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin
2020	A*	`conf`	Generative Semantic Hashing Enhanced via Boltzmann Machines. ACL Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen
2020	J	`jnl`	Generative Semantic Hashing Enhanced via Boltzmann Machines. CoRR Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen
2020	A*	`conf`	Low-Resource Generation of Multi-hop Reasoning Questions. ACL Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin
2020	J	`jnl`	Syntax-Enhanced Pre-trained Model. CoRR Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Nan Duan, Daxin Jiang
2019	—	`conf`	A Deep Neural Information Fusion Architecture for Textual Network Embeddings. EMNLP/IJCNLP (1) Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang
2019	J	`jnl`	A Deep Neural Information Fusion Architecture for Textual Network Embeddings. CoRR Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang
2019	J	`jnl`	A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC. Sci. China Inf. Sci. Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin
2019	—	`conf`	Document Hashing with Mixture-Prior Generative Models. EMNLP/IJCNLP (1) Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
2019	J	`jnl`	Document Hashing with Mixture-Prior Generative Models. CoRR Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen
2019	J	`jnl`	Fixed Points of Gaussian Belief Propagation and Relation to Convergence. IEEE Trans. Signal Process. Bin Li, Qinliang Su, Yik-Chung Wu
2018	—	`conf`	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. ACL (1) Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. CoRR Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin
2018	A*	`conf`	Deconvolutional Latent-Variable Model for Text Sequence Matching. AAAI Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin
2018	—	`conf`	NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. ACL (1) Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin
2018	J	`jnl`	NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. CoRR Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
2018	A	`conf`	Symmetric Variational Autoencoder and Connections to Adversarial Learning. AISTATS Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin
2017	—	`conf`	A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. NIPS Qinliang Su, Xuejun Liao, Lawrence Carin
2017	J	`jnl`	A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. CoRR Qinliang Su, Xuejun Liao, Lawrence Carin
2017	J	`jnl`	Deconvolutional Latent-Variable Model for Text Sequence Matching. CoRR Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin
2017	—	`conf`	Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. ACL (1) Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2017	A*	`conf`	Unsupervised Learning with Truncated Gaussian Graphical Models. AAAI Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin
2016	A*	`conf`	Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. ICML Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin
2016	J	`jnl`	Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. CoRR Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin
2016	J	`jnl`	Unsupervised Learning with Truncated Gaussian Graphical Models. CoRR Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin
2015	J	`jnl`	Distributed Estimation of Variance in Gaussian Graphical Model via Belief Propagation: Accuracy Analysis and Improvement. IEEE Trans. Signal Process. Qinliang Su, Yik-Chung Wu
2015	J	`jnl`	On Convergence Conditions of Gaussian Belief Propagation. IEEE Trans. Signal Process. Qinliang Su, Yik-Chung Wu
2014	J	`jnl`	Convergence Analysis of the Variance in Gaussian Belief Propagation. IEEE Trans. Signal Process. Qinliang Su, Yik-Chung Wu
2014	B	`conf`	Determining the convergence of variance in Gaussian belief propagation via semi-definite programming. ISIT Qinliang Su, Yik-Chung Wu
2010	J	`jnl`	A Non-Cooperative Method for Path Loss Estimation in Femtocell Networks CoRR Qinliang Su, Aiping Huang, Zhaoyang Zhang, Kai Xu, Jin Yang
2009	J	`jnl`	Complexity reduction of signal detection by exploiting correlation characteristics of spreading sequences. Int. J. Commun. Syst. Qinliang Su, Aiping Huang, Jing Li, Hsiao-Hwa Chen