Lijia Yu

According to our database, Lijia Yu authored at least 27 papers between 2015 and 2026.

Collaborative distances:

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

2026

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement.

Gaojie Jin, Yong Tao, Lijia Yu, Tianjin Huang

CoRR, May, 2026

BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models.

Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu, Gaojie Jin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

tGARD: Text-Guided Adversarial Reconstruction for Industrial Anomaly Detection.

Yuchen Qiang, Jiuxin Cao, Shiwei Zhou, Junyang Yang, Lijia Yu, Bo Liu

IEEE Trans. Ind. Informatics, December, 2025

Analyzing the Power of Chain of Thought through Memorization Capabilities.

Lijia Yu, Xiao-Shan Gao, Lijun Zhang

CoRR, November, 2025

SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG.

Xiaonan Si, Meilin Zhu, Simeng Qin, Lijia Yu, Lijun Zhang, Shuaitong Liu, Xinfeng Li, Ranjie Duan, Yang Liu, Xiaojun Jia

CoRR, October, 2025

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability.

Lijia Yu, Yibo Miao, Yifan Zhu, Xiao-Shan Gao, Lijun Zhang

CoRR, March, 2025

CLUEY enables knowledge-guided clustering and cell type detection from single-cell omics data.

Daniel Kim, Carissa Chen, Lijia Yu, Jean Yee Hwa Yang, Pengyi Yang

Bioinform., 2025

The current landscape and emerging challenges of benchmarking single-cell methods.

Yue Cao, Lijia Yu, Marni Torkel, Sanghyun Kim, Yingxin Lin, Pengyi Yang, Terence P. Speed, Shila Ghazanfar, Jean Yee Hwa Yang

Briefings Bioinform., 2025

Provable Watermarking for Data Poisoning Attacks.

Yifan Zhu, Lijia Yu, Xiao-Shan Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power.

Lijia Yu, Yibo Miao, Yifan Zhu, Xiao-Shan Gao, Lijun Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PowerMLP: An Efficient Version of KAN.

Ruichen Qiu, Yibo Miao, Shiwen Wang, Yifan Zhu, Lijia Yu, Xiao-Shan Gao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Generalizability of Memorization Neural Networks.

Lijia Yu, Xiao-Shan Gao, Lijun Zhang, Yibo Miao

CoRR, 2024

Generalizablity of Memorization Neural Network.

Lijia Yu, Xiao-Shan Gao, Lijun Zhang, Yibo Miao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models.

Yibo Miao, Yifan Zhu, Lijia Yu, Jun Zhu, Xiao-Shan Gao, Yinpeng Dong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective.

Yibo Miao, Yinpeng Dong, Jinlai Zhang, Lijia Yu, Xiao Yang, Xiao-Shan Gao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalization Bound and New Algorithm for Clean-Label Backdoor Attack.

Lijia Yu, Shuang Liu, Yibo Miao, Xiao-Shan Gao, Lijun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimal robust Memorization with ReLU Neural Networks.

Lijia Yu, Xiao-Shan Gao, Lijun Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors.

Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Detection and Defense of Unlearnable Examples.

Yifan Zhu, Lijia Yu, Xiao-Shan Gao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improve Robustness and Accuracy of Deep Neural Network with L_2,∞ Normalization.

Lijia Yu, Xiao-Shan Gao

J. Syst. Sci. Complex., February, 2023

Ensemble deep learning of embeddings for clustering multimodal single-cell omics data.

Lijia Yu, Chunlei Liu, Jean Yee Hwa Yang, Pengyi Yang

Bioinform., 2023

Restore Translation Using Equivariant Neural Networks.

Yihan Wang, Lijia Yu, Xiao-Shan Gao

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adversarial Parameter Attack on Deep Neural Networks.

Lijia Yu, Yihan Wang, Xiao-Shan Gao

Proceedings of the International Conference on Machine Learning, 2023

2022

Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game.

Xiao-Shan Gao, Shuang Liu, Lijia Yu

CoRR, 2022

2021

Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks.

Lijia Yu, Xiao-Shan Gao

CoRR, 2021

A Robust Classification-autoencoder to Defend Outliers and Adversaries.

Lijia Yu, Xiao-Shan Gao

CoRR, 2021

2015

A protein detection POCT device based on microfluidic immunoassay chips.

Lijia Yu, Xiaoqiong Li, Xiaoming Hu, Shiyong Yu, Xuefei Lv, Qin Li, Yulin Deng

Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015