Keqing He

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 110

Top Venues

Publications

Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu
PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR (2024)
Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR (2024)
Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. CoRR (2024)
Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Jinxu Zhao, Weiran Xu
Knowledge Editing on Black-box Large Language Models. CoRR (2024)
Dehua Liu, Selasi Kwashie, Yidi Zhang, Guangtong Zhou, Michael Bewong, Xiaoying Wu, Xi Guo, Keqing He, Zaiwen Feng
An Efficient Approach for Discovering Graph Entity Dependencies (GEDs). CoRR (2023)
Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. CoRR (2023)
Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) (2023)
Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR (2023)
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
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition. CoRR (2023)
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
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CoRR (2023)
Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Debo Cheng, Keqing He, Zaiwen Feng
FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery. CoRR (2023)
Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. EMNLP (Findings) (2023)
Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. CoRR (2023)
Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR (2023)
Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP (2023)
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
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CIKM (2023)
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
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. ICASSP (2023)
Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. EMNLP (Findings) (2023)
Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. ACL (Findings) (2023)
Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Yang Yang, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. CoRR (2023)
Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR (2023)
Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu
Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. ICASSP (2023)
Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. CoRR (2023)
Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. CoRR (2023)
Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. CoRR (2023)
Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. CoRR (2023)
Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL (1) (2023)
Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL (1) (2023)
Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. CoRR (2023)
Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng
FastAGEDs: Fast Approximate Graph Entity Dependency Discovery. WISE (2023)
Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) (2023)
Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR (2023)
Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. NLPCC (1) (2023)
Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. CoRR (2023)
Linyue Liu, Xi Guo, Chun Ouyang, Patrick C. K. Hung, Hong-Yu Zhang, Keqing He, Chen Mo, Zaiwen Feng
BPCE: A Prototype for Co-Evolution between Business Process Variants through Configurable Process Model. CoRR (2023)
Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP (2022)
Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. ACL (2) (2022)
Keqing He, Jingang Wang, Chaobo Sun, Wei Wu
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CIKM (2022)
Yanan Wu, Keqing He, Yuanmeng Yan, QiXiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. NAACL-HLT (2022)
Jiakang Xu, Wolfgang Mayer, Hongyu Zhang, Keqing He, Zaiwen Feng
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base. CoRR (2022)
Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR (2022)
Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu
ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. SIGIR (2022)
Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR (2022)
Ruiqing Xu, Wolfgang Mayer, Yulong Wang, Hong-Yu Zhang, Da Ning, Yucong Duan, Keqing He, Zaiwen Feng
Automatic Semantic Modeling by Cross-Modal Retrieval. HPCC/DSS/SmartCity/DependSys (2022)
Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR (2022)
Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
Generalized Intent Discovery: Learning from Open World Dialogue System. COLING (2022)
Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. NAACL-HLT (2022)
Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR (2022)
Keqing He, Jingang Wang, Chaobo Sun, Wei Wu
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CoRR (2022)
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
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. CoRR (2022)
Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP (2022)
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
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. COLING (2022)
Hongrun Wu, Yutao Ma, Zhenglong Xiang, Chen Yang, Keqing He
A spatial-temporal graph neural network framework for automated software bug triaging. Knowl. Based Syst. 241 (2022)
Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. COLING (2022)
Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. CoRR (2022)
Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. CoRR (2022)
Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. CoRR (2022)
Liwei Huang, Yutao Ma, Yanbo Liu, Keqing He
DAN-SNR: A Deep Attentive Network for Social-aware Next Point-of-interest Recommendation. ACM Trans. Internet Techn. 21 (1) (2021)
Zaiwen Feng, Wolfgang Mayer, Keqing He, Selasi Kwashie, Markus Stumptner, Georg Grossmann, Rong Peng, Wangyu Huang
s). IEEE Access 9 (2021)
Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng
TODSum: Task-Oriented Dialogue Summarization with State Tracking. CoRR (2021)
Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. EMNLP (1) (2021)
Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu
Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization. ICASSP (2021)
Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. ACL/IJCNLP (2) (2021)
Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu
Adversarial Self-Supervised Learning for Out-of-Domain Detection. NAACL-HLT (2021)
Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack. NAACL-HLT (2021)
Zaiwen Feng, Jia-Kang Xu, Wolfgang Mayer, Wangyu Huang, Keqing He, Markus Stumptner, Georg Grossmann, Hong-Yu Zhang, Lin Ling
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge From Knowledge Graph. HPCC/DSS/SmartCity/DependSys (2021)
Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu
Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. IJCNN (2021)
Hongrun Wu, Yutao Ma, Zhenglong Xiang, Chen Yang, Keqing He
A Spatial-Temporal Graph Neural Network Framework for Automated Software Bug Triaging. CoRR (2021)
Zaiwen Feng, Wolfgang Mayer, Markus Stumptner, Georg Grossmann, Selasi Kwashie, Da Ning, Keqing He
ASMaaS: Automatic Semantic Modeling as a Service. SERVICES (2021)
Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. ACL/IJCNLP (1) (2021)
Keqing He, Yuanmeng Yan, Weiran Xu
From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge. Neurocomputing 445 (2021)
Yutao Ma, Xiao Geng, Jian Wang, Keqing He, Dionysis Athanasopoulos
Deep Learning Framework for Online Interactive Service Recommendation in Iterative Mashup Development. CoRR (2021)
Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. CoRR (2021)
Shilong Zhang, Yue Tang, Jing Yan, Linye Li, Tong Li, Jixiang Li, Peilin Xie, Yuanshuai Gu, Jiakang Xu, Zaiwen Feng, Wen Zhang, Jingbo Xia, Wolfgang Mayer, Hong-Yu Zhang, Guang-Cun He, Keqing He
A Graph-based Approach for Integrating Biological Heterogeneous Data Based on Connecting Ontology. BIBM (2021)
Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. CoRR (2021)
Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu
A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization. EMNLP (Findings) (2021)
Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. ACL/IJCNLP (Findings) (2021)
Zhiyuan Zeng, Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu
Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection. ICASSP (2021)
Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. CoRR (2021)
Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. COLING (2020)
Liwei Huang, Yutao Ma, Yanbo Liu, Keqing He
DAN-SNR: A Deep Attentive Network for Social-Aware Next Point-of-Interest Recommendation. CoRR (2020)
Keqing He, Yuanmeng Yan, Weiran Xu
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. ACL (2020)
Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu
Learning Label-Relational Output Structure for Adaptive Sequence Labeling. IJCNN (2020)
Keqing He, Weiran Xu, Yuanmeng Yan
Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding. IEEE Access 8 (2020)
Keqing He, Shuyu Lei, Yushu Yang, Huixing Jiang, Zhongyuan Wang
Syntactic Graph Convolutional Network for Spoken Language Understanding. COLING (2020)
Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space. COLING (2020)
Zhao Li, Jun Wu, Xiaofeng Zhang, Jingsha He, Peng Chen, Keqing He
Using metadata for recommending business process. J. Supercomput. 76 (5) (2020)
Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots. EMNLP (1) (2020)
Keqing He, Yuanmeng Yan, Weiran Xu
Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. IJCNN (2020)
Yi Zhao, Yu Qiao, Keqing He
A Novel Tagging Augmented LDA Model for Clustering. Int. J. Web Serv. Res. 16 (3) (2019)
Gang Tian, Qibo Wang, Jian Wang, Keqing He, Weidong Zhao, Panpan Gao, Yanjun Peng
Leveraging contextual information for cold-start Web service recommendation. Concurr. Comput. Pract. Exp. 31 (17) (2019)
Yi Zhao, Zhao Li, Bitao Li, Keqing He, Junfei Guo
Collective intelligence value discovery based on citation of science article. Int. J. Comput. Sci. Eng. 19 (4) (2019)
Fang Xie, Jian Wang, Ruibin Xiong, Neng Zhang, Yutao Ma, Keqing He
An integrated service recommendation approach for service-based system development. Expert Syst. Appl. 123 (2019)
Yi Zhao, Junfei Guo, Keqing He
An on-demand service aggregation and service recommendation method based on RGPS. Intell. Data Anal. 23 (S1) (2019)
Neng Zhang, Jian Wang, Keqing He, Zheng Li, Yiwang Huang
Mining and clustering service goals for RESTful service discovery. Knowl. Inf. Syst. 58 (3) (2019)
Neng Zhang, Jian Wang, Yutao Ma, Keqing He, Zheng Li, Xiaoqing (Frank) Liu
Web service discovery based on goal-oriented query expansion. J. Syst. Softw. 142 (2018)
Keqing He, Liang-Jie Zhang, Schahram Dustdar, Yutao Ma
Guest Editorial: Cloud Services Meet Big Data - Part II. IEEE Trans. Serv. Comput. 11 (5) (2018)
Yi Zhao, Chong Wang, Jian Wang, Keqing He
Incorporating LDA With Word Embedding for Web Service Clustering. Int. J. Web Serv. Res. 15 (4) (2018)
Keqing He, Liang-Jie Zhang, Schahram Dustdar, Yutao Ma
Guest Editorial: Cloud Services Meet Big Data. IEEE Trans. Serv. Comput. 11 (4) (2018)
Zhao Li, Jun Wu, Shuangmei Peng, Peng Chen, Jingsha He, Yiwang Huang, Keqing He
MFI-5 Based Similarity Measurement of Business Process Models. ICCCS (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Keqing He