| 2026 | AAAI | QueryAligner: Customizing User Query to Match LLMs Preferences for Better Intent Recognition. | Yunlong Ma, Bo Wang, Yihong Tang, Zifei Yu, Chenyun Xue, Gaoke Zhang, Yuexian Hou |
| 2026 | ACL | REG: Retrieval via Emotion Similarity for Guiding Empathetic Dialogue Generation. | Xu Wang, Bo Wang, Yang Xiang, Yihong Tang, Dongming Zhao, Zifei Yu, Yuexian Hou |
| 2025 | ACL | Dynamic Personality in LLM Agents: A Framework for Evolutionary Modeling and Behavioral Analysis in the Prisoner's Dilemma. | Weiqi Zeng, Bo Wang, Dongming Zhao, Zongfeng Qu, Ruifang He, Yuexian Hou, Qinghua Hu |
| 2025 | ACL | Explicit vs. Implicit: Investigating Social Bias in Large Language Models through Self-Reflection. | Yachao Zhao, Bo Wang, Yan Wang, Dongming Zhao, Ruifang He, Yuexian Hou |
| 2025 | COLING | RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems. | Yihong Tang, Bo Wang, Xu Wang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou |
| 2025 | COLING | ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation. | Xu Wang, Bo Wang, Yihong Tang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou |
| 2025 | SIGIR | Balancing Precision and Generalization: Dynamic Instruction Generation for Model Adaptive Zero-Shot Reasoning in LLMs. | Ruihan Zhu, Bo Wang, Dongming Zhao, Jing Liu, Ruifang He, Yuexian Hou |
| 2024 | COLING | Emotion Recognition in Conversation via Dynamic Personality. | Yan Wang, Bo Wang, Yachao Zhao, Dongming Zhao, Xiaojia Jin, Jijun Zhang, Ruifang He, Yuexian Hou |
| 2024 | COLING | LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification. | Jing Zhang, Hui Gao, Peng Zhang, Boda Feng, Wenmin Deng, Yuexian Hou |
| 2024 | COLING | A Comparative Study of Explicit and Implicit Gender Biases in Large Language Models via Self-evaluation. | Yachao Zhao, Bo Wang, Yan Wang, Dongming Zhao, Xiaojia Jin, Jijun Zhang, Ruifang He, Yuexian Hou |
| 2024 | EMNLP | MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space. | Yihong Tang, Bo Wang, Dongming Zhao, Jinxiaojia Jinxiaojia, Zhangjijun Zhangjijun, Ruifang He, Yuexian Hou |
| 2023 | ACL | MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns. | Anqi Liu, Bo Wang, Yue Tan, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2023 | ACL | Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona. | Yihong Tang, Bo Wang, Miao Fang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2023 | ACL | Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph. | Yue Tan, Bo Wang, Anqi Liu, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2023 | ACL | Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension. | Jiazheng Zhu, Shaojuan Wu, Xiaowang Zhang, Yuexian Hou, Zhiyong Feng |
| 2023 | DASFAA | CECR: Collaborative Semantic Reasoning on the Cloud and Edge. | Lei Sun, Tenglong Ren, Xiaowang Zhang, Zhiyong Feng, Yuexian Hou |
| 2023 | DASFAA | Causal MRC: Mitigating Position Bias Based on Causal Graph. | Jiazheng Zhu, Linjuan Wu, Shaojuan Wu, Xiaowang Zhang, Yuexian Hou, Zhiyong Feng |
| 2023 | EACL | Mining Effective Features Using Quantum Entropy for Humor Recognition. | Yang Liu, Yuexian Hou |
| 2023 | ECAI | Grafting Fine-Tuning and Reinforcement Learning for Empathetic Emotion Elicitation in Dialog Generation. | Ying Zhu, Bo Wang, Dongming Zhao, Kun Huang, Zhuoxuan Jiang, Ruifang He, Yuexian Hou |
| 2023 | ICANN | Syntax-Aware Complex-Valued Neural Machine Translation. | Yang Liu, Yuexian Hou |
| 2023 | ICASSP | Empathetic Response Generation via Emotion Cause Transition Graph. | Yushan Qian, Bo Wang, Ting-En Lin, Yinhe Zheng, Ying Zhu, Dongming Zhao, Yuexian Hou, Yuchuan Wu, Yongbin Li |
| 2023 | ICONIP | User Multi-preferences Fusion for Conversational Recommender Systems. | Yi Zhang, Dongming Zhao, Bo Wang, Kun Huang, Ruifang He, Yuexian Hou |
| 2023 | WWW | Multi-interest Recommendation on Shopping for Others. | Shuang Li, Yaokun Liu, Xiaowang Zhang, Yuexian Hou, Zhiyong Feng |
| 2022 | COLING | TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph. | Zhitong Yang, Bo Wang, Jinfeng Zhou, Yue Tan, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2022 | COLING | CR-GIS: Improving Conversational Recommendation via Goal-aware Interest Sequence Modeling. | Jinfeng Zhou, Bo Wang, Zhitong Yang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2022 | EMNLP | Aligning Recommendation and Conversation via Dual Imitation. | Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2022 | IJCNN | An Enhanced Quantum-inspired Neural Network for Complex-valued Text Representation Learning. | Zan Li, Yuexian Hou, Tian Tian, Tingsan Pan |
| 2021 | AAAI | A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract). | Guangcheng Liu, Yuexian Hou, Shikai Song |
| 2021 | AAAI | MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract). | Nan Xie, Yuexian Hou |
| 2021 | EMNLP | CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs. | Jinfeng Zhou, Bo Wang, Ruifang He, Yuexian Hou |
| 2021 | ICONIP | Socializing in Interference: Quantum-Inspired Topic Model with Crystal-Like Structure Grid for Microblog Topic Detection. | Tian Tian, Yuexian Hou, Zan Li, Tingsan Pan, Yingjie Gao |
| 2021 | PRICAI | LoCo-VAE: Modeling Short-Term Preference as Joint Effect of Long-Term Preference and Context-Aware Impact in Recommendation. | Jianping Liu, Bo Wang, Ruifang He, Bin Wu, Shuo Zhang, Yuexian Hou, Qinxue Jiang |
| 2021 | SIGIR | Social Recommendation with Implicit Social Influence. | Changhao Song, Bo Wang, Qinxue Jiang, Yehua Zhang, Ruifang He, Yuexian Hou |
| 2020 | AAAI | VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract). | Liangzhu Ge, Yuexian Hou, Yaju Jiang, Shuai Yao, Chao Yang |
| 2020 | AAAI | Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior. | Chenguang Zhang, Yuexian Hou, Yan Zhang |
| 2020 | ECAI | Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning. | Junwei Zhang, Yuexian Hou, Zhao Li, Long Zhang, Xia Chen |
| 2019 | CIKM | QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation. | Panpan Wang, Zhao Li, Yazhou Zhang, Yuexian Hou, Liangzhu Ge |
| 2019 | CIKM | Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method. | Shuai Yao, Yuexian Hou, Liangzhu Ge, Zeting Hu |
| 2019 | DASFAA | Density Matrix Based Preference Evolution Networks for E-Commerce Recommendation. | Panpan Wang, Zhao Li, Xuming Pan, Donghui Ding, Xia Chen, Yuexian Hou |
| 2019 | ICONIP | Link Prediction with Attention-Based Semantic Influence of Multiple Neighbors. | Meixian Song, Bo Wang, Xindian Ma, Qinghua Hu, Xin Wang, Yuexian Hou, Dawei Song |
| 2019 | ICTAI | Quantum-Inspired DMATT-BiGRU for Conversational Sentiment Analysis. | Peng Guo, Junwei Zhang, Yuexian Hou, Xiujun Gong, Panpan Wang, Yazhou Zhang |
| 2018 | AAAI | Exploring Relevance Judgement Inspired by Quantum Weak Measurement. | Tianshu Wang, Yuexian Hou, Panpan Wang, Xiaolei Niu |
| 2018 | COLING | A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis. | Shuqin Gu, Lipeng Zhang, Yuexian Hou, Yin Song |
| 2018 | ECIR | Modeling Relevance Judgement Inspired by Quantum Weak Measurement. | Panpan Wang, Tianshu Wang, Yuexian Hou, Dawei Song |
| 2018 | IJCAI | Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method. | Shuqin Gu, Yuexian Hou, Lipeng Zhang, Yazhou Zhang |
| 2018 | PRICAI | Attention-Based Linguistically Constraints Network for Aspect-Level Sentiment. | Jinyu Lu, Yuexian Hou |
| 2018 | PRICAI | Two-Step Multi-factor Attention Neural Network for Answer Selection. | Pengqing Zhang, Yuexian Hou, Zhan Su, Yi Su |
| 2017 | ICONIP | Hierarchical Attention BLSTM for Modeling Sentences and Documents. | Xiaolei Niu, Yuexian Hou |
| 2017 | ICONIP | Bi-Directional LSTM with Quantum Attention Mechanism for Sentence Modeling. | Xiaolei Niu, Yuexian Hou, Panpan Wang |
| 2017 | WWW | Extending the Balance Theory by Measuring Bidirectional Opinions with Interactive Language. | Bo Wang, Yingjun Sun, Bo Han, Yuexian Hou, Dawei Song |
| 2016 | AAAI | Iterative Project Quasi-Newton Algorithm for Training RBM. | Shuai Mi, Xiaozhao Zhao, Yuexian Hou, Peng Zhang, Wenjie Li, Dawei Song |
| 2015 | ECIR | Document Boltzmann Machines for Information Retrieval. | Qian Yu, Peng Zhang, Yuexian Hou, Dawei Song, Jun Wang |
| 2015 | EMNLP | Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification. | Ning Xing, Yuexian Hou, Peng Zhang, Wenjie Li, Dawei Song |
| 2015 | ICONIP | Predicting Box Office Receipts of Movies with Pruned Random Forest. | Zhenyu Guo, Xin Zhang, Yuexian Hou |
| 2015 | IJCAI | A Constrained Multi-view Clustering Approach to Influence Role Detection. | Chengyao Chen, Dehong Gao, Wenjie Li, Yuexian Hou |
| 2015 | IJCAI | Modeling Quantum Entanglements in Quantum Language Models. | Mengjiao Xie, Yuexian Hou, Peng Zhang, Jingfei Li, Wenjie Li, Dawei Song |
| 2014 | CIKM | Generalized Bias-Variance Evaluation of TREC Participated Systems. | Peng Zhang, Linxue Hao, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu |
| 2014 | ICDM | Rnyi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines. | Qian Yu, Yuexian Hou, Xiaozhao Zhao, Guochen Cheng |
| 2014 | SIGIR | Inferring topic-dependent influence roles of Twitter users. | Chengyao Chen, Dehong Gao, Wenjie Li, Yuexian Hou |
| 2013 | CIKM | A unified graph model for personalized query-oriented reference paper recommendation. | Fanqi Meng, Dehong Gao, Wenjie Li, Xu Sun, Yuexian Hou |
| 2013 | IJCAI | A Global Constrained Optimization Method for Designing Road Networks with Small Diameters. | Teng Ma, Yuexian Hou, Xiaozhao Zhao, Dawei Song |
| 2013 | SIGIR | Bias-variance decomposition of ir evaluation. | Peng Zhang, Dawei Song, Jun Wang, Yuexian Hou |
| 2012 | CIKM | Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering. | Dehong Gao, Renxian Zhang, Wenjie Li, Yuexian Hou |
| 2011 | CIKM | Learning kernels with upper bounds of leave-one-out error. | Yong Liu, Shizhong Liao, Yuexian Hou |
| 2011 | ECIR | A Novel Re-ranking Approach Inspired by Quantum Measurement. | Xiaozhao Zhao, Peng Zhang, Dawei Song, Yuexian Hou |
| 2011 | ICTIR | Pure High-Order Word Dependence Mining via Information Geometry. | Yuexian Hou, Liang He, Xiaozhao Zhao, Dawei Song |
| 2011 | ICTIR | Investigating Query-Drift Problem from a Novel Perspective of Photon Polarization. | Peng Zhang, Dawei Song, Xiaozhao Zhao, Yuexian Hou |
| 2010 | ACL | Event-Based Hyperspace Analogue to Language for Query Expansion. | Tingxu Yan, Tamsin Maxwell, Dawei Song, Yuexian Hou, Peng Zhang |
| 2010 | ISNN | A New Closeness Metric for Social Networks Based on the k Shortest Paths. | Chun Shang, Yuexian Hou, Shuo Zhang, Zhaopeng Meng |
| 2009 | SIGIR | Approximating true relevance distribution from a mixture model based on irrelevance data. | Peng Zhang, Yuexian Hou, Dawei Song |
| 2008 | ACL | A Novel Feature-based Approach to Chinese Entity Relation Extraction. | Wenjie Li, Peng Zhang, Furu Wei, Yuexian Hou, Qin Lu |
| 2008 | LREC | Exploiting the Role of Position Feature in Chinese Relation Extraction. | Peng Zhang, Wenjie Li, Furu Wei, Qin Lu, Yuexian Hou |
| 2006 | ICONIP | Adaptively Incremental Self-organizing Isometric Embedding. | Yuexian Hou, Gong Kefei, Pilian He |
| 2006 | IJCNN | Improving classification precision by implicit kernels motivated by manifold learning. | Yuexian Hou, Jingyi Wu, Pilian He |
| 2005 | ICMLC | A Clustering Algorithm Based on Density Kernel Extension. | Weidi Dai, Pilian He, Yuexian Hou, Xiao-Dong Kang |
| 2004 | ISNN | Nonlinear Prediction Model Identification and Robust Prediction of Chaotic Time Series. | Yuexian Hou, Weidi Dai, Pilian He |