BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. - Jiawei Zhang 001; Congying Xia; Chenwei Zhang; Limeng Cui; Yanjie Fu; Philip S. Yu (ICDM, 2017)

Zero-shot User Intent Detection via Capsule Neural Networks. - Congying Xia; Chenwei Zhang; Xiaohui Yan; Yi Chang 001; Philip S. Yu (EMNLP, 2018)

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. - Lichao Sun 001; Lifang He 001; Zhipeng Huang 001; Bokai Cao; Congying Xia; Xiaokai Wei; Philip S. Yu (ICBK, 2018)

Multi-grained Named Entity Recognition. - Congying Xia; Chenwei Zhang; Tao Yang 012; Yaliang Li; Nan Du 001; Xian Wu 001; Wei Fan 001; Fenglong Ma; Philip S. Yu (ACL (1), 2019)

Low-shot Learning in Natural Language Processing. - Congying Xia; Chenwei Zhang; Jiawei Zhang 001; Tingting Liang; Hao Peng 001; Philip S. Yu (CogMI, 2020)

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. - Zhongfen Deng; Hao Peng 001; Congying Xia; Jianxin Li 002; Lifang He 001; Philip S. Yu (COLING, 2020)

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. - Lichao Sun 001; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu; Lifang He 001 (COLING, 2020)

MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. - Tao Zhang 055; Congying Xia; Chun-Ta Lu; Philip S. Yu (COLING, 2020)

Semantic Matching and Aggregation Network for Few-shot Intent Detection. - Hoang Nguyen; Chenwei Zhang; Congying Xia; Philip S. Yu (EMNLP (Findings), 2020)

Composed Variational Natural Language Generation for Few-shot Intents. - Congying Xia; Caiming Xiong; Philip S. Yu; Richard Socher (EMNLP (Findings), 2020)

Joint Training Capsule Network for Cold Start Recommendation. - Tingting Liang; Congying Xia; Yuyu Yin; Philip S. Yu (SIGIR, 2020)

Graph-Bert: Only Attention is Needed for Learning Graph Representations. - Jiawei Zhang 001; Haopeng Zhang 005; Congying Xia; Li Sun 008 (CoRR, 2020)

CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. - Congying Xia; Chenwei Zhang; Hoang Nguyen; Jiawei Zhang 001; Philip S. Yu (CoRR, 2020)

A Survey on Text Classification: From Shallow to Deep Learning. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Congying Xia; Renyu Yang; Lichao Sun 001; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. - Lichao Sun 001; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection. - Hoang Nguyen; Chenwei Zhang; Congying Xia; Philip S. Yu (CoRR, 2020)

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. - Ye Liu 006; Jian-Guo Zhang 005; Yao Wan 001; Congying Xia; Lifang He 001; Philip S. Yu (EMNLP (1), 2021)

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. - Jian-Guo Zhang 005; Trung Bui; Seunghyun Yoon 002; Xiang Chen; Zhiwei Liu 001; Congying Xia; Quan Hung Tran; Walter Chang; Philip S. Yu (EMNLP (1), 2021)

PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. - Tao Zhang 055; Congying Xia; Philip S. Yu; Zhiwei Liu 001; Shu Zhao (EMNLP (1), 2021)

Cross-lingual COVID-19 Fake News Detection. - Jiangshu Du; Yingtong Dou; Congying Xia; Limeng Cui; Jing Ma 004; Philip S. Yu (ICDM (Workshops), 2021)

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. - Congying Xia; Wenpeng Yin 001; Yihao Feng; Philip S. Yu (NAACL-HLT, 2021)

User Preference-aware Fake News Detection. - Yingtong Dou; Kai Shu; Congying Xia; Philip S. Yu; Lichao Sun 001 (SIGIR, 2021)

Pseudo Siamese Network for Few-shot Intent Generation. - Congying Xia; Caiming Xiong; Philip S. Yu (SIGIR, 2021)

Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing. - Yibo Wang 001; Congying Xia; Guan Wang; Philip S. Yu (IEEE Big Data, 2022)

Multifaceted Improvements for Conversational Open-Domain Question Answering. - Tingting Liang; Yixuan Jiang; Congying Xia; Ziqiang Zhao; Yuyu Yin; Philip S. Yu (CoRR, 2022)

Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network. - Tingting Liang; Lin Ma 002; Weizhong Zhang; Haoran Xu; Congying Xia; Yuyu Yin (Knowl. Based Syst., 2022)

A Survey on Text Classification: From Traditional to Deep Learning. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Congying Xia; Renyu Yang; Lichao Sun 001; Philip S. Yu; Lifang He 001 (ACM Trans. Intell. Syst. Technol., 2022)

Learning to Select from Multiple Options. - Jiangshu Du; Wenpeng Yin 001; Congying Xia; Philip S. Yu (AAAI, 2023)

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. - Jiangshu Du; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu (IJCNLP (2), 2023)

Preference-grounded Token-level Guidance for Language Model Fine-tuning. - Shentao Yang; Shujian Zhang; Congying Xia; Yihao Feng; Caiming Xiong; Mingyuan Zhou (NeurIPS, 2023)

Contrastive Box Embedding for Collaborative Reasoning. - Tingting Liang; Yuanqing Zhang; Qianhui Di; Congying Xia; Youhuizi Li; Yuyu Yin (SIGIR, 2023)

XGen-7B Technical Report. - Erik Nijkamp; Tian Xie; Hiroaki Hayashi; Bo Pang 004; Congying Xia; Chen Xing; Jesse Vig; Semih Yavuz; Philippe Laban; Ben Krause; Senthil Purushwalkam; Tong Niu; et al. (CoRR, 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)

Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. - Tao Zhang 055; Congying Xia; Zhiwei Liu 001; Shu Zhao; Hao Peng 001; Philip S. Yu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. - Tingting Liang; Congying Xia; Haoran Xu; Ziqiang Zhao; Yuyu Yin; Liang Chen 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. - Tingting Liang; Chenxin Jin; Lingzhi Wang 001; Wenqi Fan; Congying Xia; Kai Chen; Yuyu Yin (ACL (Findings), 2024)

FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. - Congying Xia; Chen Xing; Jiangshu Du; Xinyi Yang 002; Yihao Feng; Ran Xu 001; Wenpeng Yin 001; Caiming Xiong (ACL (1), 2024)

xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. - Can Qin; Congying Xia; Krithika Ramakrishnan; Michael S. Ryoo; Lifu Tu; Yihao Feng; Manli Shu; Honglu Zhou; Anas Awadalla; Jun Wang 090; Senthil Purushwalkam; Le Xue; et al. (ECCV Workshops (5), 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Zhang 004; Vipul Gupta; et al. (EMNLP, 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Ranran Zhang; Vipul Gupta; et al. (CoRR, 2024)

AAAR-1.0: Assessing AI's Potential to Assist Research. - Renze Lou; Hanzi Xu; Sijia Wang; Jiangshu Du; Ryo Kamoi; Xiaoxin Lu; Jian Xie; Yuxuan Sun 002; Yusen Zhang 001; Jihyun Janice Ahn; Hongchao Fang; Zhuoyang Zou; et al. (CoRR, 2024)

ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement. - Xiangyu Peng; Congying Xia; Xinyi Yang 002; Caiming Xiong; Chien-Sheng Wu; Chen Xing (ICLR, 2025)

ProjectTest: A Project-level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms. - Yibo Wang 001; Congying Xia; Wenting Zhao 006; Jiangshu Du; Chunyu Miao; Zhongfen Deng; Philip S. Yu; Chen Xing (CoRR, 2025)

Benchmarking LLMs for Political Science: A United Nations Perspective. - Yueqing Liang; Liangwei Yang; Chen Wang; Congying Xia; Rui Meng; Xiongxiao Xu; Haoran Wang 005; Ali Payani; Kai Shu (CoRR, 2025)