| 2026 | ICPR | Self-supervised Learning of Contextualized Neural Topic Models with VIC Regularization. | Kengo Hirami, Weiran Xu, Koji Eguchi |
| 2025 | AAAI | SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. | Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu |
| 2025 | ACL | HFT: Half Fine-Tuning for Large Language Models. | Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu |
| 2025 | COLING | PreAct: Prediction Enhances Agent's Planning Ability. | Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu |
| 2025 | ICLR | AgentRefine: Enhancing Agent Generalization through Refinement Tuning. | Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu |
| 2025 | ICLR | CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. | Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu |
| 2025 | WWW | Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. | Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu |
| 2024 | ACL | DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. | Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai |
| 2024 | COLING | Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. | Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu |
| 2024 | COLING | BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. | Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu |
| 2024 | ECCV | Faceptor: A Generalist Model for Face Perception. | Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng |
| 2024 | EMNLP | How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. | Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu |
| 2024 | ICASSP | Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. | Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu |
| 2024 | NAACL | UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle. | Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu |
| 2024 | NAACL | DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. | Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu |
| 2023 | ACL | Value type: the bridge to a better DST model. | QiXiang Gao, Mingyang Sun, Yutao Mou, Chen Zeng, Weiran Xu |
| 2023 | ACL | Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. | Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu |
| 2023 | ACL | Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. | Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu |
| 2023 | ACL | FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. | Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu |
| 2023 | ACL | Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. | Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu |
| 2023 | CIKM | Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. | Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu |
| 2023 | CIKM | A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. | Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu |
| 2023 | EMNLP | DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. | Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu |
| 2023 | EMNLP | Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. | Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu |
| 2023 | EMNLP | Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. | Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu |
| 2023 | EMNLP | APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. | Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu |
| 2023 | EMNLP | Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. | Yuxiang Wu, Guanting Dong, Weiran Xu |
| 2023 | ICASSP | A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. | Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu |
| 2023 | ICASSP | Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. | Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu |
| 2022 | ACL | Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. | Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu |
| 2022 | COLING | PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. | Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu |
| 2022 | COLING | Generalized Intent Discovery: Learning from Open World Dialogue System. | Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu |
| 2022 | COLING | Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. | Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu |
| 2022 | EMNLP | Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking. | QiXiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu |
| 2022 | EMNLP | Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. | Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu |
| 2022 | EMNLP | UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. | Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu |
| 2022 | EMNLP | Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. | Gang Zhao, Guanting Dong, Yidong Shi, Haolong Yan, Weiran Xu, Si Li |
| 2022 | ICASSP | A Robust Contrastive Alignment Method for Multi-Domain Text Classification. | Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang |
| 2022 | NAACL | Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. | Yanan Wu, Keqing He, Yuanmeng Yan, QiXiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu |
| 2022 | NAACL | Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. | Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu |
| 2022 | SIGIR | ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. | Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu |
| 2021 | ACL | Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. | Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou |
| 2021 | ACL | Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. | Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu |
| 2021 | ACL | ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. | Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu |
| 2021 | ACL | Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. | Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu |
| 2021 | EMNLP | A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization. | Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu |
| 2021 | EMNLP | Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. | Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu |
| 2021 | EMNLP | Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models. | Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu |
| 2021 | EMNLP | Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization. | Zhiyuan Zeng, Jiaze Chen, Weiran Xu, Lei Li |
| 2021 | EMNLP | Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization. | Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo |
| 2021 | ICASSP | Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization. | Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu |
| 2021 | ICASSP | Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection. | Zhiyuan Zeng, Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu |
| 2021 | IJCNN | Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. | Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu |
| 2021 | NAACL | Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack. | Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu |
| 2021 | NAACL | Adversarial Self-Supervised Learning for Out-of-Domain Detection. | Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu |
| 2020 | AAAI | Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. | Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang |
| 2020 | ACL | Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. | Keqing He, Yuanmeng Yan, Weiran Xu |
| 2020 | CIKM | CGTR: Convolution Graph Topology Representation for Document Ranking. | Yuanyuan Qi, Jiayue Zhang, Yansong Liu, Weiran Xu, Jun Guo |
| 2020 | COLING | Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. | Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou |
| 2020 | COLING | A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space. | Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu |
| 2020 | COLING | Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words. | Lulu Zhao, Weiran Xu, Jun Guo |
| 2020 | EMNLP | Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots. | Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu |
| 2020 | ICASSP | Gated Attentive Convolutional Network Dialogue State Tracker. | Sihong Liu, Songyan Liu, Weiran Xu |
| 2020 | IJCNN | Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. | Keqing He, Yuanmeng Yan, Weiran Xu |
| 2020 | IJCNN | Learning Label-Relational Output Structure for Adaptive Sequence Labeling. | Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu |
| 2020 | VCIP | Learning Graph Topology Representation with Attention Networks. | Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo, Honggang Zhang |
| 2019 | VCIP | Finding Salient Context based on Semantic Matching for Relevance Ranking. | Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo, Yan Li |
| 2018 | ACL | DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. | Pengda Qin, Weiran Xu, William Yang Wang |
| 2018 | ACL | Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. | Pengda Qin, Weiran Xu, William Yang Wang |
| 2018 | NAACL | Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. | Chenliang Li, Weiran Xu, Si Li, Sheng Gao |
| 2017 | ICANN | Combining Character-Level Representation for Relation Classification. | Dongyun Liang, Weiran Xu, Yinge Zhao |
| 2017 | ICANN | Instance-Adaptive Attention Mechanism for Relation Classification. | Yao Lu, Chunyun Zhang, Weiran Xu |
| 2017 | ICANN | Chinese Lexical Normalization Based on Information Extraction: An Experimental Study. | Tian Tian, Weiran Xu |
| 2017 | IJCNN | Designing an adaptive attention mechanism for relation classification. | Pengda Qin, Weiran Xu, Jun Guo |
| 2017 | PAKDD | A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks. | Pengda Qin, Weiran Xu, Jun Guo |
| 2016 | COLING | Bitext Name Tagging for Cross-lingual Entity Annotation Projection. | Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, Weiran Xu |
| 2015 | AAAI | Learning Word Vectors Efficiently Using Shared Representations and Document Representations. | Qun Luo, Weiran Xu |
| 2015 | Qshine | A multi-level system for sequential update summarization. | Chunyun Zhang, Zhanyu Ma, Jiayue Zhang, Weiran Xu, Jun Guo |
| 2014 | CIKM | A Study on the CBOW Model's Overfitting and Stability. | Qun Luo, Weiran Xu, Jun Guo |
| 2014 | ICPR | Confidence Estimation and Reputation Analysis in Aspect Extraction. | Yan Li, Hui Wang, Zhen Qin, Weiran Xu, Jun Guo |
| 2012 | ICIP | Integrative labeling based statistical color models with application to skin detection. | Mingzhi Dong, Liang Yin, Jun Guo, Weihong Deng, Weiran Xu |
| 2011 | SIGIR | Product comparison using comparative relations. | Si Li, Zheng-Jun Zha, Zhaoyan Ming, Meng Wang, Tat-Seng Chua, Jun Guo, Weiran Xu |
| 2010 | ICPR | Exploiting Combined Multi-level Model for Document Sentiment Analysis. | Si Li, Hao Zhang, Weiran Xu, Guang Chen, Jun Guo |
| 2007 | SIGIR | Locality discriminating indexing for document classification. | Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu |
| 2006 | ISDA | An Approach to Spam Detection by Naive Bayes Ensemble Based on Decision Induction. | Zhen Yang, Xiangfei Nie, Weiran Xu, Jun Guo |
| 2006 | ISNN | Multi-scale Support Vector Machine for Regression Estimation. | Zhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei |