Congying Xia

According to our database, Congying Xia authored at least 36 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability.

Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong

CoRR, 2024

2023

Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network.

Tingting Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen, Philip S. Yu

IEEE Trans. Knowl. Data Eng., September, 2023

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER.

Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu

ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

Transferring From Textual Entailment to Biomedical Named Entity Recognition.

Tingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, Philip S. Yu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

XGen-7B Technical Report.

Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong

CoRR, 2023

Contrastive Box Embedding for Collaborative Reasoning.

Tingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Preference-grounded Token-level Guidance for Language Model Fine-tuning.

Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm.

Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Learning to Select from Multiple Options.

Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Survey on Text Classification: From Traditional to Deep Learning.

Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He

ACM Trans. Intell. Syst. Technol., 2022

Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network.

Tingting Liang, Lin Ma, Weizhong Zhang, Haoran Xu, Congying Xia, Yuyu Yin

Knowl. Based Syst., 2022

Multifaceted Improvements for Conversational Open-Domain Question Answering.

Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu

CoRR, 2022

Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing.

Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Pseudo Siamese Network for Few-shot Intent Generation.

Congying Xia, Caiming Xiong, Philip S. Yu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

User Preference-aware Fake News Detection.

Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System.

Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Cross-lingual COVID-19 Fake News Detection.

Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu

Proceedings of the 2021 International Conference on Data Mining, 2021

PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition.

Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.

Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.

Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection.

Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu

CoRR, 2020

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks.

Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He

CoRR, 2020

A Survey on Text Classification: From Shallow to Deep Learning.

Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He

CoRR, 2020

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection.

Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu

CoRR, 2020

Graph-Bert: Only Attention is Needed for Learning Graph Representations.

Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun

CoRR, 2020

Joint Training Capsule Network for Cold Start Recommendation.

Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Composed Variational Natural Language Generation for Few-shot Intents.

Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Semantic Matching and Aggregation Network for Few-shot Intent Detection.

Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing.

Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.

Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.

Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Low-shot Learning in Natural Language Processing.

Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019

Multi-grained Named Entity Recognition.

Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.

Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Zero-shot User Intent Detection via Capsule Neural Networks.

Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder.

Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017