Keqing He - RankMe

94 papers A* 10A 2B 10Misc 4Journal 45Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SelfCorrect-Agent: Toward robust and generalizable LLM-based agents. Neurocomputing Keqing He, Dayuan Fu, Lele Yang, Weiran Xu, Chao Wang
2025	A*	`conf`	AgentRefine: Enhancing Agent Generalization through Refinement Tuning. ICLR Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu
2025	J	`jnl`	AgentRefine: Enhancing Agent Generalization through Refinement Tuning. CoRR Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu
2025	A*	`conf`	Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. WWW Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2025	J	`jnl`	AutoRed: A Free-form Adversarial Prompt Generation Framework for Automated Red Teaming. CoRR Muxi Diao, Yutao Mou, Keqing He, Hanbo Song, Lulu Zhao, Shikun Zhang, Wei Ye, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	FuseMind: Fusing reflection and prediction elevates agent's reasoning capabilities. Neurocomputing Xiufa Ma, XinXin Ge, Heyang Xu, Dayuan Fu, Zhexu Wang, Yuchen Liu, Keqing He, Weiran Xu
2025	B	`conf`	PreAct: Prediction Enhances Agent's Planning Ability. COLING Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu
2025	J	`jnl`	Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification. CoRR Weihao Zeng, Keqing He, Chuqiao Kuang, Xiaoguang Li, Junxian He
2025	J	`jnl`	SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild. CoRR Weihao Zeng, Yuzhen Huang, Qian Liu, Wei Liu, Keqing He, Zejun Ma, Junxian He
2025	J	`jnl`	Towards robust and generalizable training: An empirical study of noisy slot filling for input perturbations. Neurocomputing Guanting Dong, Xiaoshuai Song, Jiachi Liu, Liwen Wang, Zhengyang Wang, Zechen Wang, Shanglin Lei, Keqing He, Bo Xiao, Weiran Xu
2024	—	`conf`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	J	`jnl`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	—	`conf`	BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. LREC/COLING Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu
2024	J	`jnl`	BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. CoRR Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu
2024	—	`conf`	DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. NAACL-HLT (Findings) Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu
2024	J	`jnl`	DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. CoRR Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu
2024	—	`conf`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai
2024	J	`jnl`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu
2024	J	`jnl`	How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR 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	A*	`conf`	How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 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	J	`jnl`	Knowledge Editing on Black-box Large Language Models. CoRR Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2024	J	`jnl`	Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. CoRR Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu
2024	J	`jnl`	PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu
2024	A*	`conf`	Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. EMNLP Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang
2024	J	`jnl`	Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. CoRR Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang
2024	A*	`conf`	What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. ICLR Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
2023	A	`conf`	A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CIKM 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	J	`jnl`	A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CoRR 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	Misc	`conf`	A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. ICASSP 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	—	`conf`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	—	`conf`	Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. EMNLP (Findings) Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu
2023	J	`jnl`	Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. CoRR Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu
2023	—	`conf`	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023	J	`jnl`	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023	—	`conf`	DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. EMNLP (Findings) Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu
2023	J	`jnl`	DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. CoRR Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu
2023	—	`conf`	FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL (1) Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
2023	J	`jnl`	FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. CoRR Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
2023	J	`jnl`	GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. CoRR 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
2023	—	`conf`	Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. ACL (Findings) Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu
2023	J	`jnl`	Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. CoRR Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu
2023	A*	`conf`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	—	`conf`	Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. NLPCC (1) Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu
2023	J	`jnl`	Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. CoRR Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu
2023	Misc	`conf`	Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. ICASSP 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	J	`jnl`	Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. CoRR 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	—	`conf`	Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL (1) Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu
2023	J	`jnl`	Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. CoRR Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu
2023	J	`jnl`	Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu
2023	J	`jnl`	What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. CoRR Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He
2022	A*	`conf`	ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. SIGIR Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu
2022	—	`conf`	Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. ACL (2) Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu
2022	J	`jnl`	Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. CoRR Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu
2022	B	`conf`	Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. COLING Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu
2022	J	`jnl`	Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. CoRR Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu
2022	—	`conf`	Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. NAACL-HLT Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu
2022	J	`jnl`	Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. CoRR Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu
2022	B	`conf`	Generalized Intent Discovery: Learning from Open World Dialogue System. COLING Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
2022	J	`jnl`	Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu
2022	B	`conf`	PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. COLING 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	J	`jnl`	PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. CoRR 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	—	`conf`	Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. NAACL-HLT Yanan Wu, Keqing He, Yuanmeng Yan, Qixiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu
2022	J	`jnl`	Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu
2022	A*	`conf`	UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	J	`jnl`	UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	A	`conf`	Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CIKM Keqing He, Jingang Wang, Chaobo Sun, Wei Wu
2022	J	`jnl`	Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CoRR Keqing He, Jingang Wang, Chaobo Sun, Wei Wu
2022	A*	`conf`	Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2022	J	`jnl`	Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu
2021	—	`conf`	A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization. EMNLP (Findings) Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu
2021	Misc	`conf`	Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection. ICASSP Zhiyuan Zeng, Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu
2021	—	`conf`	Adversarial Self-Supervised Learning for Out-of-Domain Detection. NAACL-HLT Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu
2021	—	`conf`	Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. EMNLP (1) Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu
2021	J	`jnl`	Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. CoRR Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu
2021	—	`conf`	Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack. NAACL-HLT Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu
2021	J	`jnl`	From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge. Neurocomputing Keqing He, Yuanmeng Yan, Weiran Xu
2021	Misc	`conf`	Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization. ICASSP Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu
2021	—	`conf`	Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. ACL/IJCNLP (2) Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu
2021	J	`jnl`	Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. CoRR Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu
2021	—	`conf`	Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. ACL/IJCNLP (1) Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu
2021	J	`jnl`	Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. CoRR Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu
2021	—	`conf`	Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. ACL/IJCNLP (Findings) Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou
2021	B	`conf`	Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. IJCNN Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu
2021	J	`jnl`	TODSum: Task-Oriented Dialogue Summarization with State Tracking. CoRR Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng
2020	B	`conf`	A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space. COLING Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu
2020	B	`conf`	Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. IJCNN Keqing He, Yuanmeng Yan, Weiran Xu
2020	—	`conf`	Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots. EMNLP (1) Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu
2020	B	`conf`	Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. COLING Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou
2020	B	`conf`	Learning Label-Relational Output Structure for Adaptive Sequence Labeling. IJCNN Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu
2020	A*	`conf`	Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. ACL Keqing He, Yuanmeng Yan, Weiran Xu
2020	J	`jnl`	Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding. IEEE Access Keqing He, Weiran Xu, Yuanmeng Yan
2020	B	`conf`	Syntactic Graph Convolutional Network for Spoken Language Understanding. COLING Keqing He, Shuyu Lei, Yushu Yang, Huixing Jiang, Zhongyuan Wang