Yi Nian

According to our database, Yi Nian authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

Mitigating Hallucinations in Large Language Models via Causal Reasoning.

Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao

CoRR, August, 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, June, 2025

Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning.

Yuehan Qin, Shawn Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma

CoRR, April, 2025

JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model.

Yi Nian, Shenzhe Zhu, Yuehan Qin, Li Li, Ziyi Wang, Chaowei Xiao, Yue Zhao

CoRR, April, 2025

Secure On-Device Video OOD Detection Without Backpropagation.

Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao

CoRR, March, 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, February, 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

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MetaOOD: Automatic Selection of OOD Detection Models.

Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

Tiankai Yang, Yi Nian, Li Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xia Hu, Yue Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Prompt Tuning in Biomedical Relation Extraction.

Jianping He, Fang Li, Jianfu Li, Xinyue Hu, Yi Nian, Yang Xiang, Jingqi Wang, Qiang Wei, Yiming Li, Hua Xu, Cui Tao

J. Heal. Informatics Res., June, 2024

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

Tiankai Yang, Yi Nian, Shawn Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xiaohu You, Yue Zhao

CoRR, 2024

NLP-ADBench: NLP Anomaly Detection Benchmark.

Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao

CoRR, 2024

COOD: Concept-based Zero-shot OOD Detection.

Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang Hu, Yue Zhao

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

Exploring Diverse Methods in Visual Question Answering.

Panfeng Li, Qikai Yang, Xieming Geng, Wenjing Zhou, Zhicheng Ding, Yi Nian

CoRR, 2024

Globally Interpretable Graph Learning via Distribution Matching.

Yi Nian, Yurui Chang, Wei Jin, Lu Lin

Proceedings of the ACM on Web Conference 2024, 2024

CA-BERT: Leveraging Context Awareness for Enhanced Multi-Turn Chat Interaction.

Minghao Liu, Mingxiu Sui, Yi Nian, Cangqing Wang, Zhijie Zhou

Proceedings of the 5th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2024

2023

Explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction.

Xinyue Hu, Zenan Sun, Yi Nian, Yifang Dang, Fang Li, Jingna Feng, Evan Yu, Cui Tao

CoRR, 2023

Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions.

Fang Li, Yi Nian, Zenan Sun, Cui Tao

CoRR, 2023

In-Process Global Interpretation for Graph Learning via Distribution Matching.

Yi Nian, Wei Jin, Lu Lin

CoRR, 2023

2022

Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing.

Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Yong Chen, Cui Tao

CoRR, 2022

Mining on Alzheimer's diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing.

Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Larry Bu, Yuji Zhang, Yong Chen, Cui Tao

BMC Bioinform., 2022

Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning.

Jianping He, Fang Li, Xinyue Hu, Jianfu Li, Yi Nian, Jingqi Wang, Yang Xiang, Qiang Wei, Hua Xu, Cui Tao

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery.

Yi Nian, Jingcheng Du, Larry Bu, Fang Li, Xinyue Hu, Yuji Zhang, Cui Tao

CoRR, 2021

2019

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