Congying Xia

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 57

Top Topics

Text Classification

Named Entity Recognition

Textual Entailment

Top Venues

Publications

Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, Yuyu Yin
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. ACL (Findings) (2024)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. ACL (1) (2024)
Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. CoRR (2024)
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR (2024)
Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. IJCNLP (2) (2023)
Tingting Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen, Philip S. Yu
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
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
XGen-7B Technical Report. CoRR (2023)
Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (3) (2023)
Tingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, Philip S. Yu
Transferring From Textual Entailment to Biomedical Named Entity Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (4) (2023)
Tingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin
Contrastive Box Embedding for Collaborative Reasoning. SIGIR (2023)
Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
Learning to Select from Multiple Options. AAAI (2023)
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS (2023)
Jiangshu Du, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. CoRR (2023)
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR (2023)
Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu
Multifaceted Improvements for Conversational Open-Domain Question Answering. CoRR (2022)
Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing. CoRR (2022)
Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing. Big Data (2022)
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
A Survey on Text Classification: From Traditional to Deep Learning. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Tingting Liang, Lin Ma, Weizhong Zhang, Haoran Xu, Congying Xia, Yuyu Yin
Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network. Knowl. Based Syst. 251 (2022)
Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
Learning to Select from Multiple Options. CoRR (2022)
Ye Liu, Jianguo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. EMNLP (1) (2021)
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
User Preference-aware Fake News Detection. SIGIR (2021)
Congying Xia, Caiming Xiong, Philip S. Yu
Pseudo Siamese Network for Few-shot Intent Generation. CoRR (2021)
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
Cross-lingual COVID-19 Fake News Detection. CoRR (2021)
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. CoRR (2021)
Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. NAACL-HLT (2021)
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
User Preference-aware Fake News Detection. CoRR (2021)
Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. EMNLP (1) (2021)
Congying Xia, Wenpeng Yin, Yihao Feng, Philip S. Yu
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. CoRR (2021)
Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. CoRR (2021)
Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu
Cross-lingual COVID-19 Fake News Detection. ICDM (Workshops) (2021)
Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. EMNLP (1) (2021)
Congying Xia, Caiming Xiong, Philip S. Yu
Pseudo Siamese Network for Few-shot Intent Generation. SIGIR (2021)
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. CoRR (2020)
Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
Composed Variational Natural Language Generation for Few-shot Intents. CoRR (2020)
Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun
Graph-Bert: Only Attention is Needed for Learning Graph Representations. CoRR (2020)
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. CoRR (2020)
Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
Semantic Matching and Aggregation Network for Few-shot Intent Detection. EMNLP (Findings) (2020)
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. COLING (2020)
Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu
Low-shot Learning in Natural Language Processing. CogMI (2020)
Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. CoRR (2020)
Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu
Joint Training Capsule Network for Cold Start Recommendation. SIGIR (2020)
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
A Survey on Text Classification: From Shallow to Deep Learning. CoRR (2020)
Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection. CoRR (2020)
Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. CoRR (2020)
Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. COLING (2020)
Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu
Joint Training Capsule Network for Cold Start Recommendation. CoRR (2020)
Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
Composed Variational Natural Language Generation for Few-shot Intents. EMNLP (Findings) (2020)
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. COLING (2020)
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
Multi-Grained Named Entity Recognition. CoRR (2019)
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
Multi-grained Named Entity Recognition. ACL (1) (2019)
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. ICBK (2018)
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
Zero-shot User Intent Detection via Capsule Neural Networks. CoRR (2018)
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. CoRR (2018)
Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
Zero-shot User Intent Detection via Capsule Neural Networks. EMNLP (2018)
Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder. CoRR (2017)
Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. ICDM (2017)