| 2025 | ADMA | An LLM Agent-Based Complex Semantic Table Annotation Approach. | Yilin Geng, Shujing Wang, Chuan Wang, Keqing He, Yanfei Lv, Ying Wang, Zaiwen Feng, Xiaoying Bai |
| 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 | 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 | 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 | EMNLP | Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. | Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang |
| 2024 | ICLR | What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. | Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He |
| 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 | 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 | 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 | HPCC | An Ontology-based Method for Heterogeneous Data Governance with MFI and MDR. | Zhihong Du, Duo Xu, Danruo Huang, Yuren Hu, Keqing He, Chong Wang, Jian Wang, Hong-Yu Zhang, Wolfgang Mayer, Yucong Duan, Ying Wang, Zaiwen Feng |
| 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 |
| 2023 | WISE | FastAGEDs: Fast Approximate Graph Entity Dependency Discovery. | Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng |
| 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 | CIKM | Unified Knowledge Prompt Pre-training for Customer Service Dialogues. | Keqing He, Jingang Wang, Chaobo Sun, Wei Wu |
| 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 | 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 | HPCC | Automatic Semantic Modeling by Cross-Modal Retrieval. | Ruiqing Xu, Wolfgang Mayer, Yulong Wang, Hong-Yu Zhang, Da Ning, Yucong Duan, Keqing He, Zaiwen Feng |
| 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 | 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 | HPCC | Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge From Knowledge Graph. | Zaiwen Feng, Jia-Kang Xu, Wolfgang Mayer, Wangyu Huang, Keqing He, Markus Stumptner, Georg Grossmann, Hong-Yu Zhang, Lin Ling |
| 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 |
| 2021 | SERVICES | ASMaaS: Automatic Semantic Modeling as a Service. | Zaiwen Feng, Wolfgang Mayer, Markus Stumptner, Georg Grossmann, Selasi Kwashie, Da Ning, Keqing He |
| 2020 | ACL | Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. | Keqing He, Yuanmeng Yan, Weiran Xu |
| 2020 | COLING | Syntactic Graph Convolutional Network for Spoken Language Understanding. | Keqing He, Shuyu Lei, Yushu Yang, Huixing Jiang, Zhongyuan Wang |
| 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 | EMNLP | Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots. | Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, 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 |
| 2018 | ICA3PP | ST-LDA: High Quality Similar Words Augmented LDA for Service Clustering. | Yi Zhao, Keqing He, Yu Qiao |
| 2017 | BigData | Compliance Analysis of Configurable Business Process Model Based on Extend CTL. | Yiwang Huang, Zaiwen Feng, Keqing He, Songjin Xu |
| 2016 | ICSR | An Approach for Prioritizing Software Features Based on Node Centrality in Probability Network. | Zhenlian Peng, Jian Wang, Keqing He, Hongtao Li |
| 2015 | APSCC | Common Topic Group Mining for Web Service Discovery. | Jian Wang, Panpan Gao, Yutao Ma, Keqing He |
| 2014 | ICWS | Time-Aware Web Service Recommendations Using Implicit Feedback. | Gang Tian, Jian Wang, Keqing He, Patrick C. K. Hung, Chengai Sun |
| 2014 | ICWS | Web Service Recommendation Based on Watchlist via Temporal and Tag Preference Fusion. | Xiuwei Zhang, Keqing He, Jian Wang, Chong Wang, Gang Tian, Jianxiao Liu |
| 2014 | SEKE | Cold-Start Web Service Recommendation Using Implicit Feedback. | Gang Tian, Jian Wang, Keqing He, Weidong Zhao, Panpan Gao |
| 2014 | SERVICES | Business Process Consolidation Based on E-RPSTs. | Ying Huang, Keqing He, Zaiwen Feng, Yiwang Huang |
| 2013 | CIS | MFI Based Interoperability Measurement of Business Models in Service-Based Enterprises. | Zhao Li, Peng Liang, Yi Zhao, Keqing He |
| 2012 | CLOSER | Business Rule Engine-based Framework for SaaS Application Development. | Xiuwei Zhang, Keqing He, Jian Wang, Chong Wang, Zheng Li |
| 2012 | CLOSER | On-Demand Business Rule Management Framework for SaaS Application. | Xiuwei Zhang, Keqing He, Jian Wang, Chong Wang, Zheng Li |
| 2011 | HPCC | Leveraging Fragmental Semantic Data to Enhance Services Discovery. | Jian Wang, Jia Zhang, Patrick C. K. Hung, Zheng Li, Jianxiao Liu, Keqing He |
| 2011 | ISADS | A Service Registry Meta-model Framework for Interoperability. | Zaiwen Feng, Rong Peng, Bing Li, Keqing He, Chong Wang, Jian Wang, Cheng Zeng |
| 2011 | TrustCom | Towards a Behavior-Based Restructure Approach for Service Composition. | Zaiwen Feng, Keqing He, Rong Peng, Buqing Cao |
| 2011 | WISE | Towards a Taxonomy Framework of Evolution for SOA Solution: From a Practical Point of View. | Zaiwen Feng, Patrick C. K. Hung, Keqing He, Yutao Ma, Matthias Farwick, Bing Li, Rong Peng |
| 2011 | SERVICES | Taxonomy for Evolution of Service-Based System. | Zaiwen Feng, Keqing He, Rong Peng, Yutao Ma |
| 2011 | SERVICES | An Extended WS-CDL Method for On-Demand Web Service Selection. | Jianxiao Liu, Keqing He, Jian Wang, Zaiwen Feng, Da Ning |
| 2011 | SERVICES | A Practical Architecture of Cloudification of Legacy Applications. | Dunhui Yu, Jian Wang, Bo Hu, Jianxiao Liu, Xiuwei Zhang, Keqing He, Liang-Jie Zhang |
| 2010 | COMPSAC | Stakeholders-Driven Requirements Semantics Acquisition for Networked Software Systems. | Bin Wen, Peng Liang, Keqing He |
| 2010 | RE | Rationale management challenges in requirements engineering. | Peng Liang, Paris Avgeriou, Keqing He |
| 2009 | CloudCom | A Contextual Information Acquisition Approach Based on Semantics and Mashup Technology. | Yangfan He, Lu Li, Keqing He, Xiuhong Chen |
| 2009 | SEKE | Towards Merging Goal Models of Networked Software. | Zaiwen Feng, Keqing He, Rong Peng, Jian Wang, Yutao Ma |
| 2008 | ICSE | RGPS: a unified requirements meta-modeling frame for networked software. | Jian Wang, Keqing He, Ping Gong, Chong Wang, Rong Peng, Bing Li |
| 2008 | SEKE | An Empirical Study on Modularization of Object Oriented Software. | Jing Liu, Bin Liu, Chi Kong Tse, Keqing He |
| 2008 | SNPD | Identification and Extraction of Design Pattern Information in Java Program. | Chengwan He, Zheng Li, Keqing He |
| 2006 | COMPSAC | Scale Free in Software Metrics. | Jing Liu, Keqing He, Yutao Ma, Rong Peng |
| 2006 | CSCWD | Complex Information Resources Interoperability in Semantic Web Services. | Wei Liu, Keqing He, Xiuhong Chen, Kui Zhang |
| 2006 | ICSEA | Towards an Identification Framework for Software Drifts: A Case Study. | Yutao Ma, Keqing He, Jianghua Wu, Jianxun Chen |
| 2005 | ADMA | RoleOf Relationship and Its Meta Model for Design Pattern Instantiation. | Chengwan He, Fei He, Keqing He, Jin Liu, Wenjie Tu |
| 2005 | APSEC | A Qualitative Method for Measuring the Structural Complexity of Software Systems Based on Complex Networks. | Yutao Ma, Keqing He, Dehui Du |
| 2005 | PDCAT | Role Based Platform Independent Web Application Modeling. | Chengwan He, Wenjie Tu, Keqing He |
| 2003 | COMPSAC | Some Domain Patterns in Web Application Framework. | Chao Liu, Keqing He, Jie Liu, Shi Ying |
| 2003 | COMPSAC | A Pattern Language Model for Framework Development. | Wudong Liu, Keqing He, Yingshi, Hui Xu, Yixin Jing |