Xuehai Tang

According to our database, Xuehai Tang authored at least 50 papers between 2010 and 2026.

Collaborative distances:

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

2026

When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents.

Shi Liu, Xuehai Tang, Xikang Yang, Liang Lin, Biyu Zhou, Wenjie Xiao, Wantao Liu

CoRR, May, 2026

Structured Security Auditing and Robustness Enhancement for Untrusted Agent Skills.

Lijia Lv, Xuehai Tang, Jie Wen, Jizhong Han, Songlin Hu

CoRR, April, 2026

RouteGuard: Internal-Signal Detection of Skill Poisoning in LLM Agents.

Wenjie Xiao, Xuehai Tang, Biyu Zhou, Songlin Hu, Jizhong Han

CoRR, April, 2026

FABLE: Fine-grained Fact Anchoring for Unstructured Model Editing.

Peng Wang, Biyu Zhou, Xuehai Tang, Jizhong Han, Songlin Hu

CoRR, April, 2026

HearSay Benchmark: Do Audio LLMs Leak What They Hear?

Jin Wang, Liang Lin, Kaiwen Luo, Weiliu Wang, Yitian Chen, Moayad Aloqaily, Xuehai Tang, Zhenhong Zhou, Kun Wang, Li Sun, Qingsong Wen

CoRR, January, 2026

Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought Alignment.

Guan Wang, Biyu Zhou, Xuehai Tang, Jizhong Han, Songlin Hu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

More Thinking, Less Talking: Internalizing Deliberative Safety into LLM Parameters.

Guan Wang, Xuehai Tang, Biyu Zhou, Jizhong Han, Songlin Hu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs.

Xikang Yang, Biyu Zhou, Xuehai Tang, Jizhong Han, Songlin Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers.

Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers.

Liang Lin, Zhihao Xu, Xuehai Tang, Shi Liu, Biyu Zhou, Fuqing Zhu, Jizhong Han, Songlin Hu

CoRR, July, 2025

Segment-Recurrent Transformer with Multi-Scale Fusion for Long-Term Time Series Forecasting.

Ziang Yang, Lingwei Wei, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs.

Lijia Lv, Weigang Zhang, Xuehai Tang, Jie Wen, Feng Liu, Jizhong Han, Songlin Hu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SCoT Guard: A Safety Chain of Thought Guardrail Model.

Yuxuan Lin, Shi Liu, Dongqin Liu, Wei Mi, Xuehai Tang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing.

Peng Wang, Biyu Zhou, Xuehai Tang, Jizhong Han, Songlin Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models.

Lijia Lv, Yuanshu Zhao, Guan Wang, Xuehai Tang, Jie Wen, Jizhong Han, Songlin Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DS-GCG: Enhancing LLM Jailbreaks with Token Suppression and Induction Dual-Strategy.

Xuehai Tang, Xikang Yang, Zhongjiang Yao, Jie Wen, Xi Zhou, Jizhong Han, Songlin Hu

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Chain of Attack: Hide Your Intention through Multi-Turn Interrogation.

Xikang Yang, Biyu Zhou, Xuehai Tang, Jizhong Han, Songlin Hu

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

2024

The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Models.

Xikang Yang, Xuehai Tang, Jizhong Han, Songlin Hu

CoRR, 2024

Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens.

Xikang Yang, Xuehai Tang, Fuqing Zhu, Jizhong Han, Songlin Hu

CoRR, 2024

Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM.

Xikang Yang, Xuehai Tang, Songlin Hu, Jizhong Han

CoRR, 2024

Reinforcement Learning-powered Effectiveness and Efficiency Few-shot Jailbreaking Attack LLMs.

Xuehai Tang, Zhongjiang Yao, Jie Wen, Yangchen Dong, Jizhong Han, Songlin Hu

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

EthGAN: Improving Ethereum Account Classification Accuracy via Data Augmentation.

Xuehai Tang, Zhongjiang Yao, Huazhen Zhong, Guan Wang, Yuanshu Zhao, Xiaodan Zhang, Jizhong Han

Proceedings of the International Joint Conference on Neural Networks, 2024

ProFetch: Accelerate Deep Recommendation System Training with Proactively Designed Data Layout and Dynamic Prefetching.

Zhibing Liu, Biyu Zhou, Weigang Zhang, Xuehai Tang, Ruixuan Li, Songlin Hu

Proceedings of the Neural Information Processing - 31st International Conference, 2024

DBPrompt: A Database Anomaly Operation Detection and Analysis via Prompt Learning.

Huazhen Zhong, Jibin Wang, Xuejian Wang, Xin Wang, Wenjie Xiao, Xuehai Tang, Liangjun Zang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models.

Weigang Zhang, Biyu Zhou, Xing Wu, Chaochen Gao, Zhibing Liu, Xuehai Tang, Ruixuan Li, Jizhong Han, Songlin Hu

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Breaking the Weak Semantics Bottleneck of Transformers in Time Series Forecasting.

Ziang Yang, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

SwordEcho: A LLM Jailbreaking Optimization Strategy Driven by Reinforcement Learning.

Xuehai Tang, Wenjie Xiao, Zhongjiang Yao, Jizhong Han

Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024

2023

Identifying Core Wavelengths of Oil Tree's Hyperspectral Data by Taylor Expansion.

Zhibin Sun, Xinyue Jiang, Xuehai Tang, Lipeng Yan, Fan Kuang, Xiaozhou Li, Min Dou, Bin Wang, Xiang Gao

Remote. Sens., June, 2023

UDAD: An Accurate Unsupervised Database Anomaly Detection Method.

Huazhen Zhong, Fan Zhang, Yining Zhao, Weifang Zhang, Wenjie Xiao, Xuehai Tang, Liangjun Zang

Proceedings of the IEEE International Performance, 2023

A Multi-source Domain Adaption Approach to Minority Disk Failure Prediction.

Wang Wang, Xuehai Tang, Biyu Zhou, Yangchen Dong, Yuanhang Feng, Jizhong Han, Songlin Hu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Translets: Toward Explainable Phishing Fraud Detection in Ethereum.

Xikang Yang, Biyu Zhou, Xuehai Tang, Xiaodan Zhang, Jizhong Han, Songlin Hu

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Orthrus: A Dual-Branch Model for Time Series Forecasting with Multiple Exogenous Series.

Ziang Yang, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu

Proceedings of the Database Systems for Advanced Applications, 2023

MixPipe: Efficient Bidirectional Pipeline Parallelism for Training Large-Scale Models.

Weigang Zhang, Biyu Zhou, Xuehai Tang, Zhaoxing Wang, Songlin Hu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics.

Zhibin Sun, Wenqi Qian, Qingfeng Huang, Haiyan Lv, Dagui Yu, Qiangxin Ou, Haomiao Lu, Xuehai Tang

Remote. Sens., 2022

Improving disk failure detection accuracy via data augmentation.

Wang Wang, Xuehai Tang, Biyu Zhou, Wenjie Xiao, Jizhong Han, Songlin Hu

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

2021

Grasp the Key: Towards Fast and Accurate Host-Based Intrusion Detection in Data Centers.

Mengtian Gu, Biyu Zhou, Fengyang Du, Xuehai Tang, Wang Wang, Liangjun Zang, Jizhong Han, Songlin Hu

Proceedings of the Computational Science - ICCS 2021, 2021

Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning.

Wenjie Xiao, Xuehai Tang, Biyu Zhou, Wang Wang, Yangchen Dong, Liangjun Zang, Jizhong Han, Songlin Hu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020

Hierarchical Interaction Networks with Rethinking Mechanism for Document-Level Sentiment Analysis.

Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification.

Chunyuan Yuan, Qianwen Ma, Junyang Chen, Wei Zhou, Xiaodan Zhang, Xuehai Tang, Jizhong Han, Songlin Hu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

DFPE: Explaining Predictive Models for Disk Failure Prediction.

Yanwen Xie, Dan Feng, Fang Wang, Xuehai Tang, Jizhong Han, Xinyan Zhang

Proceedings of the 35th Symposium on Mass Storage Systems and Technologies, 2019

XORInc: Optimizing Data Repair and Update for Erasure-Coded Systems with XOR-Based In-Network Computation.

Fang Wang, Yingjie Tang, Yanwen Xie, Xuehai Tang

Proceedings of the 35th Symposium on Mass Storage Systems and Technologies, 2019

Jily: Cost-Aware AutoScaling of Heterogeneous GPU for DNN Inference in Public Cloud.

Zhaoxing Wang, Xuehai Tang, Qiuyang Liu, Jizhong Han

Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Nanily: A QoS-Aware Scheduling for DNN Inference Workload in Clouds.

Xuehai Tang, Peng Wang, Qiuyang Liu, Wang Wang, Jizhong Han

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Fisher: An Efficient Container Load Prediction Model with Deep Neural Network in Clouds.

Xuehai Tang, Qiuyang Liu, Yangchen Dong, Jizhong Han, Zhiyuan Zhang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

OME: An Optimized Modeling Engine for Disk Failure Prediction in Heterogeneous Datacenter.

Yanwen Xie, Dan Feng, Fang Wang, Xinyan Zhang, Jizhong Han, Xuehai Tang

Proceedings of the 36th IEEE International Conference on Computer Design, 2018

Sibyl: Host Load Prediction with an Efficient Deep Learning Model in Cloud Computing.

Zhiyuan Zhang, Xuehai Tang, Jizhong Han, Peng Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2014

Performance Evaluation of Light-Weighted Virtualization for PaaS in Clouds.

Xuehai Tang, Zhang Zhang, Min Wang, Yifang Wang, Qingqing Feng, Jizhong Han

Proceedings of the Algorithms and Architectures for Parallel Processing, 2014

2011

A meet-in-the-middle attack on reduced-round ARIA.

Xuehai Tang, Bing Sun, Ruilin Li, Chao Li, Juhua Yin

J. Syst. Softw., 2011

Impossible differential cryptanalysis of 13-round CLEFIA-128.

Xuehai Tang, Bing Sun, Ruilin Li, Chao Li

J. Syst. Softw., 2011

2010

A Meet-in-the-Middle Attack on ARIA.

Xuehai Tang, Bing Sun, Ruilin Li, Chao Li

IACR Cryptol. ePrint Arch., 2010