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)

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. - Zhongfen Deng; Hao Peng 001; Dongxiao He; Jianxin Li 002; Philip S. Yu (NAACL-HLT, 2021)

Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? - Byung-Hak Kim; Zhongfen Deng; Philip S. Yu; Varun Ganapathi (LOUHI@EMNLP, 2022)

AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction. - Zhongfen Deng; Wei-Te Chen; Lei Chen 002; Philip S. Yu (IEEE Big Data, 2022)

JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. - Zhongfen Deng; Hao Peng 001; Tao Zhang 055; Shuaiqi Liu 002; Wenting Zhao 006; Yibo Wang 001; Philip S. Yu (IEEE Big Data, 2023)

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. - Zhongfen Deng; Seunghyun Yoon 002; Trung Bui; Franck Dernoncourt; Quan Hung Tran; Shuaiqi Liu 002; Wenting Zhao 006; Tao Zhang 055; Yibo Wang 001; Philip S. Yu (IEEE Big Data, 2023)

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. - Yibo Wang 001; Wenting Zhao 006; Yao Wan 001; Zhongfen Deng; Philip S. Yu (IJCNLP (Findings), 2023)

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Yibo Wang 001; Zhongfen Deng; Philip S. Yu (IJCNLP (Findings), 2023)

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)

kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. - Wenting Zhao 006; Ye Liu 006; Yao Wan 001; Yibo Wang 001; Qingyang Wu; Zhongfen Deng; Jiangshu Du; Shuaiqi Liu 002; Yunlong Xu; Philip S. Yu (NAACL-HLT, 2024)

Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model. - Wenting Zhao 006; Zhongfen Deng; Shweta Yadav 001; Philip S. Yu (WWW (Companion Volume), 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)

Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning. - Tao Zhang 055; Ning Yan; Masood Mortazavi; Hoang H. Nguyen; Zhongfen Deng; Philip S. Yu (CoRR, 2024)

Neural Abstractive Summarization for Long Text and Multiple Tables. - Shuaiqi Liu 002; Jiannong Cao 001; Zhongfen Deng; Wenting Zhao 006; Ruosong Yang; Zhiyuan Wen; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

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)

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection. - Liancheng Fang; Aiwei Liu; Henry Peng Zou; Yankai Chen 001; Hengrui Zhang; Zhongfen Deng; Philip S. Yu (CoRR, 2025)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. - Yangning Li; Weizhi Zhang; Yuyao Yang; Wei-Chieh Huang; Yaozu Wu; Junyu Luo 002; Yuanchen Bei; Henry Peng Zou; Xiao Luo 001; Yusheng Zhao; Chunkit Chan; Yankai Chen 005; et al. (CoRR, 2025)