A Meet-in-the-Middle Attack on ARIA. - Xuehai Tang; Bing Sun 001; Ruilin Li 002; Chao Li 002 (IACR Cryptol. ePrint Arch., 2010)

Impossible differential cryptanalysis of 13-round CLEFIA-128. - Xuehai Tang; Bing Sun 001; Ruilin Li 002; Chao Li 002 (J. Syst. Softw., 2011)

A meet-in-the-middle attack on reduced-round ARIA. - Xuehai Tang; Bing Sun 001; Ruilin Li 002; Chao Li 002; Juhua Yin (J. Syst. Softw., 2011)

Performance Evaluation of Light-Weighted Virtualization for PaaS in Clouds. - Xuehai Tang; Zhang Zhang; Min Wang; Yifang Wang 003; Qingqing Feng; Jizhong Han (ICA3PP (1), 2014)

Sibyl: Host Load Prediction with an Efficient Deep Learning Model in Cloud Computing. - Zhiyuan Zhang; Xuehai Tang; Jizhong Han; Peng Wang 028 (ICA3PP (2), 2018)

OME: An Optimized Modeling Engine for Disk Failure Prediction in Heterogeneous Datacenter. - Yanwen Xie; Dan Feng 001; Fang Wang 001; Xinyan Zhang; Jizhong Han; Xuehai Tang (ICCD, 2018)

Fisher: An Efficient Container Load Prediction Model with Deep Neural Network in Clouds. - Xuehai Tang; Qiuyang Liu; Yangchen Dong; Jizhong Han; Zhiyuan Zhang (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Nanily: A QoS-Aware Scheduling for DNN Inference Workload in Clouds. - Xuehai Tang; Peng Wang 028; Qiuyang Liu; Wang Wang; Jizhong Han (HPCC/SmartCity/DSS, 2019)

Jily: Cost-Aware AutoScaling of Heterogeneous GPU for DNN Inference in Public Cloud. - Zhaoxing Wang; Xuehai Tang; Qiuyang Liu; Jizhong Han (IPCCC, 2019)

XORInc: Optimizing Data Repair and Update for Erasure-Coded Systems with XOR-Based In-Network Computation. - Fang Wang 001; Yingjie Tang; Yanwen Xie; Xuehai Tang (MSST, 2019)

DFPE: Explaining Predictive Models for Disk Failure Prediction. - Yanwen Xie; Dan Feng 001; Fang Wang 001; Xuehai Tang; Jizhong Han; Xinyan Zhang (MSST, 2019)

Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification. - Chunyuan Yuan; Qianwen Ma; Junyang Chen 001; Wei Zhou 019; Xiaodan Zhang 004; Xuehai Tang; Jizhong Han; Songlin Hu 001 (ACM Multimedia, 2020)

Hierarchical Interaction Networks with Rethinking Mechanism for Document-Level Sentiment Analysis. - Lingwei Wei; Dou Hu 001; Wei Zhou 019; Xuehai Tang; Xiaodan Zhang 004; Xin Wang 086; Jizhong Han; Songlin Hu 001 (ECML/PKDD (3), 2020)

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 001 (ICA3PP (1), 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 001 (ICCS (2), 2021)

Improving disk failure detection accuracy via data augmentation. - Wang Wang; Xuehai Tang; Biyu Zhou; Wenjie Xiao; Jizhong Han; Songlin Hu 001 (IWQoS, 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)

MixPipe: Efficient Bidirectional Pipeline Parallelism for Training Large-Scale Models. - Weigang Zhang; Biyu Zhou; Xuehai Tang; Zhaoxing Wang; Songlin Hu 001 (DAC, 2023)

Orthrus: A Dual-Branch Model for Time Series Forecasting with Multiple Exogenous Series. - Ziang Yang; Biyu Zhou; Xuehai Tang; Ruixuan Li 001; Songlin Hu 001 (DASFAA (1), 2023)

Translets: Toward Explainable Phishing Fraud Detection in Ethereum. - Xikang Yang; Biyu Zhou; Xuehai Tang; Xiaodan Zhang 004; Jizhong Han; Songlin Hu 001 (HPCC/DSS/SmartCity/DependSys, 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 001 (ICA3PP (2), 2023)

UDAD: An Accurate Unsupervised Database Anomaly Detection Method. - Huazhen Zhong; Fan Zhang; Yining Zhao; Weifang Zhang; Wenjie Xiao; Xuehai Tang; Liangjun Zang (IPCCC, 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., 2023)

SwordEcho: A LLM Jailbreaking Optimization Strategy Driven by Reinforcement Learning. - Xuehai Tang; Wenjie Xiao; Zhongjiang Yao; Jizhong Han (CSAI, 2024)

Breaking the Weak Semantics Bottleneck of Transformers in Time Series Forecasting. - Ziang Yang; Biyu Zhou; Xuehai Tang; Ruixuan Li 001; Songlin Hu 001 (ECAI, 2024)

Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models. - Weigang Zhang; Biyu Zhou; Xing Wu 002; Chaochen Gao; Zhibing Liu; Xuehai Tang; Ruixuan Li 001; Jizhong Han; Songlin Hu 001 (Euro-Par (2), 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 (ICIC (8), 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 001; Songlin Hu 001 (ICONIP (5), 2024)

EthGAN: Improving Ethereum Account Classification Accuracy via Data Augmentation. - Xuehai Tang; Zhongjiang Yao; Huazhen Zhong; Guan Wang; Yuanshu Zhao; Xiaodan Zhang 004; Jizhong Han (IJCNN, 2024)

Reinforcement Learning-powered Effectiveness and Efficiency Few-shot Jailbreaking Attack LLMs. - Xuehai Tang; Zhongjiang Yao; Jie Wen 007; Yangchen Dong; Jizhong Han; Songlin Hu 001 (ISPA, 2024)

Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM. - Xikang Yang; Xuehai Tang; Songlin Hu 001; Jizhong Han (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 001 (CoRR, 2024)

The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Models. - Xikang Yang; Xuehai Tang; Jizhong Han; Songlin Hu 001 (CoRR, 2024)

Chain of Attack: Hide Your Intention through Multi-Turn Interrogation. - Xikang Yang; Biyu Zhou; Xuehai Tang; Jizhong Han; Songlin Hu 001 (ACL (Findings), 2025)

DS-GCG: Enhancing LLM Jailbreaks with Token Suppression and Induction Dual-Strategy. - Xuehai Tang; Xikang Yang; Zhongjiang Yao; Jie Wen 007; Xi Zhou; Jizhong Han; Songlin Hu 001 (CSCWD, 2025)

AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs. - Lijia Lv; Weigang Zhang; Xuehai Tang; Jie Wen 007; Feng Liu; Jizhong Han; Songlin Hu 001 (ICASSP, 2025)

Segment-Recurrent Transformer with Multi-Scale Fusion for Long-Term Time Series Forecasting. - Ziang Yang; Lingwei Wei; Biyu Zhou; Xuehai Tang; Ruixuan Li 001; Songlin Hu 001 (ICASSP, 2025)

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing. - Peng Wang 028; Biyu Zhou; Xuehai Tang; Jizhong Han; Songlin Hu 001 (CoRR, 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 001 (CoRR, 2025)

Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs. - Xikang Yang; Biyu Zhou; Xuehai Tang; Jizhong Han; Songlin Hu 001 (CoRR, 2025)

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 001; Xuehai Tang; Yuanhe Zhang; Xikang Yang; Zhenhong Zhou; Kun Wang; Yang Liu (CoRR, 2025)