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2020 – today
- 2026
[j5]Zhendong Liu, Yi Nian, Yuehan Qin, Henry Peng Zou, Li Li, Xiyang Hu:
CMOOD: Concept-based Multi-label OOD Detection. Trans. Mach. Learn. Res. 2026 (2026)- [j4]Yuehan Qin, Li Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma:
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning. Trans. Mach. Learn. Res. 2026 (2026) - [c11]Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao:
Mitigating Hallucinations in Large Language Models via Causal Reasoning. AAAI 2026: 31852-31860 - [c10]Henry Peng Zou, Siffi Singh, Yi Nian, Jianfeng He, Jason Cai, Saab Mansour, Hang Su:
Active Generalized Category Discovery with Diverse LLM Feedback. EACL (Volume 1: Long Papers) 2026: 7637-7658 - [i31]Yi Nian, Haosen Cao, Shenzhe Zhu, Henry Peng Zou, Qingqing Luan, Yue Zhao
:
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution. CoRR abs/2603.17445 (2026) - [i30]Haiyue Zhang, Yi Nian, Yue Zhao:
Agent Audit: A Security Analysis System for LLM Agent Applications. CoRR abs/2603.22853 (2026) - [i29]Henry Peng Zou, Chunyu Miao, Wei-Chieh Huang, Yankai Chen, Yue Zhou, Hanrong Zhang, Yaozu Wu, Liancheng Fang, Zhengyao Gu, Zhen Zhang, Kening Zheng, Fangxin Wang, Yi Nian, Shanghao Li, Wenzhe Fan, Langzhou He, Weizhi Zhang, Xue (Steve) Liu, Philip S. Yu:
When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation. CoRR abs/2604.00892 (2026) - [i28]Tiankai Yang, Jiate Li, Yi Nian, Shen Dong, Ruiyao Xu, Ryan Rossi, Kaize Ding, Yue Zhao:
No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents. CoRR abs/2604.01350 (2026) - [i27]Yi Nian, Aojie Yuan, Haiyue Zhang, Jiate Li, Yue Zhao:
Auditable Agents. CoRR abs/2604.05485 (2026) - [i26]Tiankai Yang, Yi Nian, Xinyuan Li, Ruiyao Xu, Kaize Ding, Yue Zhao:
Cat-DPO: Category-Adaptive Safety Alignment. CoRR abs/2604.17299 (2026) - [i25]Aojie Yuan, Zhiyuan Julian Su, Haiyue Zhang, Yi Nian, Yue Zhao:
Hidden Error Awareness in Chain-of-Thought Reasoning: The Signal Is Diagnostic, Not Causal. CoRR abs/2605.09502 (2026) - [i24]Yi Nian, Tiankai Yang, Yudi Zhang, Qi Pan, Zelong Xu, Shenzhe Zhu, Qingqing Luan, Yue Huang, Xiangliang Zhang, Yue Zhao:
DOG-DPO:Dynamic Optimization in Geometry for Safety Alignment. CoRR abs/2606.07678 (2026) - [i23]Aojie Yuan, Yi Nian, Haiyue Zhang, Zijian Su, Yue Zhao:
SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution. CoRR abs/2606.29713 (2026) - [i22]Yue Huang, Wenjie Wang, Han Bao, Yuchen Ma, Xiaonan Luo, Yi Nian, Haomin Zhuang, Zheyuan Liu, Yue Zhao, Zhaoxiang Zhang:
MemoHarness: Agent Harnesses That Learn from Experience. CoRR abs/2607.14159 (2026) - [i21]Shenzhe Zhu, Haoqian Zhang, Xu Yang, Jingyu Tang, Yi Nian, Xiaoxue Du, Shu Yang, Alex Pentland, Joachim Baumann, Jiaxin Pei:
Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing. CoRR abs/2607.21758 (2026) - 2025
- [j3]Youcheng Zong, Yi Nian, Chaojie Zhang, Xinyu Tang, Lin Wang, Liqiang Zhang:
Hybrid Grid Search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes. Eng. Appl. Artif. Intell. 141: 109580 (2025) - [c9]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:
AD-LLM: Benchmarking Large Language Models for Anomaly Detection. ACL (Findings) 2025: 1524-1547 - [c8]Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao:
NLP-ADBench: NLP Anomaly Detection Benchmark. EMNLP (Findings) 2025: 2464-2474 - [c7]Yinhong Liu, Jianfeng He, Hang Su, Ruixue Lian, Yi Nian, Jake W. Vincent, Srikanth Vishnubhotla, Robinson Piramuthu, Saab Mansour:
MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization. EMNLP (Findings) 2025: 14707-14727 - [c6]Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao:
Secure On-Device Video OOD Detection without Backpropagation. ICCV 2025: 112-121 - [c5]Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao:
MetaOOD: Automatic Selection of OOD Detection Models. ICLR 2025 - [c4]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:
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation. NAACL (Long Papers) 2025: 12209-12246 - [i20]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:
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation. CoRR abs/2502.08514 (2025) - [i19]Henry Peng Zou, Siffi Singh, Yi Nian, Jianfeng He, Jason Cai, Saab Mansour, Hang Su:
GLEAN: Generalized Category Discovery with Diverse and Quality-Enhanced LLM Feedback. CoRR abs/2502.18414 (2025) - [i18]Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao:
Secure On-Device Video OOD Detection Without Backpropagation. CoRR abs/2503.06166 (2025) - [i17]Yi Nian, Shenzhe Zhu, Yuehan Qin, Li Li, Ziyi Wang, Chaowei Xiao, Yue Zhao:
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model. CoRR abs/2504.03770 (2025) - [i16]Yuehan Qin, Shawn Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma:
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning. CoRR abs/2504.06438 (2025) - [i15]Shenzhe Zhu, Jiao Sun, Yi Nian, Tobin South, Alex Pentland, Jiaxin Pei:
The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets. CoRR abs/2506.00073 (2025) - [i14]Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao:
Mitigating Hallucinations in Large Language Models via Causal Reasoning. CoRR abs/2508.12495 (2025) - [i13]Yinhong Liu, Jianfeng He, Hang Su, Ruixue Lian, Yi Nian, Jake W. Vincent, Srikanth Vishnubhotla, Robinson Piramuthu, Saab Mansour:
MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization. CoRR abs/2510.01659 (2025) - 2024
- [j2]Jianping He, Fang Li, Jianfu Li, Xinyue Hu, Yi Nian, Yang Xiang, Jingqi Wang, Qiang Wei, Yiming Li, Hua Xu, Cui Tao:
Prompt Tuning in Biomedical Relation Extraction. J. Heal. Informatics Res. 8(2): 206-224 (2024) - [c3]Minghao Liu, Mingxiu Sui, Yi Nian, Cangqing Wang, Zhijie Zhou:
CA-BERT: Leveraging Context Awareness for Enhanced Multi-Turn Chat Interaction. ICBASE 2024: 388-392 - [c2]Yi Nian, Yurui Chang, Wei Jin, Lu Lin:
Globally Interpretable Graph Learning via Distribution Matching. WWW 2024: 992-1002 - [i12]Panfeng Li, Qikai Yang, Xieming Geng, Wenjing Zhou, Zhicheng Ding, Yi Nian:
Exploring Diverse Methods in Visual Question Answering. CoRR abs/2404.13565 (2024) - [i11]Qikai Yang, Panfeng Li, Xinhe Xu, Zhicheng Ding, Wenjing Zhou, Yi Nian:
A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentation. CoRR abs/2404.13812 (2024) - [i10]Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao:
MetaOOD: Automatic Selection of OOD Detection Models. CoRR abs/2410.03074 (2024) - [i9]Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang Hu, Yue Zhao:
COOD: Concept-based Zero-shot OOD Detection. CoRR abs/2411.13578 (2024) - [i8]Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao:
NLP-ADBench: NLP Anomaly Detection Benchmark. CoRR abs/2412.04784 (2024) - [i7]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:
AD-LLM: Benchmarking Large Language Models for Anomaly Detection. CoRR abs/2412.11142 (2024) - 2023
- [i6]Yi Nian, Wei Jin, Lu Lin:
In-Process Global Interpretation for Graph Learning via Distribution Matching. CoRR abs/2306.10447 (2023) - [i5]Fang Li, Yi Nian, Zenan Sun, Cui Tao:
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions. CoRR abs/2306.10456 (2023) - [i4]Xinyue Hu, Zenan Sun, Yi Nian, Yifang Dang, Fang Li, Jingna Feng, Evan Yu, Cui Tao:
Explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction. CoRR abs/2309.06584 (2023) - 2022
- [j1]Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Larry Bu, Yuji Zhang, Yong Chen, Cui Tao:
Mining on Alzheimer's diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing. BMC Bioinform. 23-S(6): 407 (2022) - [c1]Jianping He, Fang Li, Xinyue Hu, Jianfu Li, Yi Nian, Jingqi Wang, Yang Xiang, Qiang Wei, Hua Xu, Cui Tao:
Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning. ICHI 2022: 608-609 - [i3]Yi Nian, Xinyue Hu, Rui Zhang, Jingna Feng, Jingcheng Du, Fang Li, Yong Chen, Cui Tao:
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing. CoRR abs/2202.08712 (2022) - 2021
- [i2]Yi Nian, Jingcheng Du, Larry Bu, Fang Li, Xinyue Hu, Yuji Zhang, Cui Tao:
Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery. CoRR abs/2109.06123 (2021)
2010 – 2019
- 2019
- [i1]Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell:
AutoML using Metadata Language Embeddings. CoRR abs/1910.03698 (2019)
Coauthor Index
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