AutoML using Metadata Language Embeddings. - Iddo Drori; Lu Liu; Yi Nian; Sharath C. Koorathota; Jie S. Li; Antonio Khalil Moretti; Juliana Freire; Madeleine Udell (CoRR, 2019)

Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery. - Yi Nian; Jingcheng Du; Larry Bu; Fang Li 011; Xinyue Hu 002; Yuji Zhang 001; Cui Tao (CoRR, 2021)

Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning. - Jianping He 002; Fang Li 011; Xinyue Hu 002; Jianfu Li; Yi Nian; Jingqi Wang; Yang Xiang 003; Qiang Wei 002; Hua Xu 001; Cui Tao (ICHI, 2022)

Mining on Alzheimer's diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing. - Yi Nian; Xinyue Hu 002; Rui Zhang 028; Jingna Feng; Jingcheng Du; Fang Li 011; Larry Bu; Yuji Zhang 001; Yong Chen 016; Cui Tao (BMC Bioinform., 2022)

Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing. - Yi Nian; Xinyue Hu 002; Rui Zhang 028; Jingna Feng; Jingcheng Du; Fang Li 011; Yong Chen 016; Cui Tao (CoRR, 2022)

In-Process Global Interpretation for Graph Learning via Distribution Matching. - Yi Nian; Wei Jin; Lu Lin (CoRR, 2023)

Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions. - Fang Li 011; Yi Nian; Zenan Sun; Cui Tao (CoRR, 2023)

Explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction. - Xinyue Hu 002; Zenan Sun; Yi Nian; Yifang Dang; Fang Li 011; Jingna Feng; Evan Yu; Cui Tao (CoRR, 2023)

CA-BERT: Leveraging Context Awareness for Enhanced Multi-Turn Chat Interaction. - Minghao Liu; Mingxiu Sui; Yi Nian; Cangqing Wang; Zhijie Zhou (ICBASE, 2024)

Globally Interpretable Graph Learning via Distribution Matching. - Yi Nian; Yurui Chang; Wei Jin 009; Lu Lin 001 (WWW, 2024)

Exploring Diverse Methods in Visual Question Answering. - Panfeng Li; Qikai Yang; Xieming Geng; Wenjing Zhou; Zhicheng Ding; Yi Nian (CoRR, 2024)

A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentation. - Qikai Yang; Panfeng Li; Xinhe Xu; Zhicheng Ding; Wenjing Zhou; Yi Nian (CoRR, 2024)

COOD: Concept-based Zero-shot OOD Detection. - Zhendong Liu; Yi Nian; Henry Peng Zou; Li Li 006; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

NLP-ADBench: NLP Anomaly Detection Benchmark. - Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Tiankai Yang 001; Yi Nian; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection. - Tiankai Yang 001; Yi Nian; Shawn Li; Ruiyao Xu; Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Xiyang Hu; Ryan A. Rossi; Kaize Ding; Xiaohu You 001; Yue Zhao 016 (CoRR, 2024)

Prompt Tuning in Biomedical Relation Extraction. - Jianping He 002; Fang Li 011; Jianfu Li; Xinyue Hu 002; Yi Nian; Yang Xiang 003; Jingqi Wang; Qiang Wei 002; Yiming Li; Hua Xu 001; Cui Tao (J. Heal. Informatics Res., 2024)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection. - Tiankai Yang 001; Yi Nian; Li Li 006; Ruiyao Xu; Yuangang Li 002; Jiaqi Li; Zhuo Xiao; Xiyang Hu; Ryan A. Rossi; Kaize Ding; Xia Hu 001; Yue Zhao 016 (ACL (Findings), 2025)

MetaOOD: Automatic Selection of OOD Detection Models. - Yuehan Qin; Yichi Zhang; Yi Nian; Xueying Ding; Yue Zhao 016 (ICLR, 2025)

Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation. - Mahnaz Koupaee; Jake W. Vincent; Saab Mansour; Igor Shalyminov; Han He; Hwanjun Song; Raphael Shu; Jianfeng He; Yi Nian; Amy Wing-mei Wong; Kyu J. Han; Hang Su (NAACL (Long Papers), 2025)

Hybrid Grid Search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes. - Youcheng Zong; Yi Nian; Chaojie Zhang; Xinyu Tang; Lin Wang; Liqiang Zhang (Eng. Appl. Artif. Intell., 2025)

GLEAN: Generalized Category Discovery with Diverse and Quality-Enhanced LLM Feedback. - Henry Peng Zou; Siffi Singh; Yi Nian; Jianfeng He; Jason Cai; Saab Mansour; Hang Su (CoRR, 2025)

Secure On-Device Video OOD Detection Without Backpropagation. - Shawn Li; Peilin Cai; Yuxiao Zhou 006; Zhiyu Ni; Renjie Liang; You Qin; Yi Nian; Zhengzhong Tu; Xiyang Hu; Yue Zhao 016 (CoRR, 2025)

JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model. - Yi Nian; Shenzhe Zhu; Yuehan Qin; Li Li 006; Ziyi Wang; Chaowei Xiao; Yue Zhao 016 (CoRR, 2025)

Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning. - Yuehan Qin; Shawn Li; Yi Nian; Xinyan Velocity Yu; Yue Zhao 016; Xuezhe Ma (CoRR, 2025)

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets. - Shenzhe Zhu; Jiao Sun; Yi Nian; Tobin South; Alex Pentland; Jiaxin Pei (CoRR, 2025)

Mitigating Hallucinations in Large Language Models via Causal Reasoning. - Yuangang Li 002; Yiqing Shen; Yi Nian; Jiechao Gao; Ziyi Wang; Chenxiao Yu; Shawn Li; Jie Wang; Xiyang Hu; Yue Zhao 016 (CoRR, 2025)