Recent Publications

Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation.

Qi Cao, Jian Lou, Meiting Liu, Wenjie Feng, Dan Li, See-Kiong Ng, Anh Tuan Luu

AdaPCLA: Adaptive Prior-Calibrated Logit Adjustment for Long-Tailed Longitudinal EHR Generation.

Shuai Cui, Chen Wenxuan, Wenjie Du, Jian Lou, Dan Li, Wenjie Feng

Autonomous End-to-End SOH Prediction Services for Battery Systems via Temporal-Contrastive Representation Learning.

Junting Wen, Dan Li, Qihao Quan, Xiwen Wang, Hang Yang, Zhaohong Meng, Zigui Jiang, Changlin Yang, Tianle Liu, Diego Muñoz-Carpintero, Jian Lou

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable.

Kejia Chen, Jiawen Zhang, Yihong Wu, Kewei Gao, Jian Lou, Zunlei Feng, Mingli Song, Ruoxi Jia

Differentially Private Zeroth-Order Methods for Scalable Large Language Model Fine-Tuning.

Zhihao Liu, Jian Lou, Wenjie Bao, Yuke Hu, Wenli Wang, Zhan Qin, Kui Ren

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning.

Lin Li, Jiawei Huang, Qihao Quan, Dan Li, Boxin Li, Xiao Zhang, Erli Meng, Wenjie Feng, Jian Lou, See-Kiong Ng

Exploiting Verification-Generation Gap: Test-Time Reinforcement Learning with Confidence-Conditioned Verification.

Jiahui Li, Jianfeng Shan, Wenpei Chen, Shunyu Wu, Jian Lou, Wenjie Feng, Dan Li, See-Kiong Ng

Federated Principal Component Analysis for Vertically Partitioned Data.

Yiu-ming Cheung, Yonggang Zhang, Juyong Jiang, Feng Yu, Jian Lou

Federated Semi-Supervised Learning with Annotation Heterogeneity.

Xinyi Shang, Gang Huang, Yang Lu, Jian Lou, Bo Han, Yiu-ming Cheung, Hanzi Wang

LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data.

Qiao Xue, Qingqing Ye, Haibo Hu, Jian Lou, Jin Li, Chengfang Fang, Jie Shi

Large language models for explainable fault diagnosis of machines.

Hamzah A. A. M. Qaid, Bo Zhang, Shuai Su, Dan Li, See-Kiong Ng, Wei Li

Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning.

Shunyu Wu, Tianyue Li, Yixuan Leng, Jingyi Suo, Jian Lou, Dan Li, See-Kiong Ng

MECKA: A Multimodal ECG Classification Framework via Knowledge Augmentation.

Guipeng Wei, Chengwei Zhang, Dan Li, Jian Lou, Ruibing Jin, Zhenghua Chen, Zibin Zheng

Mitigating Many-shot Jailbreak Attacks with One Single Demonstration.

Kejia Chen, Jiawen Zhang, Boheng Li, Pengcheng Li, Jian Lou, Zunlei Feng, Mingli Song, Ruoxi Jia, Tianwei Zhang

Msca-unet++: a modular colon polyp segmentation network with multi-scale contrastive attention.

Xuanlong Wang, Jian Lou, Xiaoguang Pan

MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices.

Jiahui Zhou, Dan Li, Ruibing Jin, Jian Lou, Yanran Zhao, Zhenghua Chen, Zigui Jiang, See-Kiong Ng

Restoring missing gaps and intervals via global consistency and local coherence.

Richa Hu, Dan Li, Jian Lou, Ruibing Jin, Bingxin Lin, Wenzhong Li, See-Kiong Ng, Zibin Zheng

SafeAdapt: Safety Alignment with Adaptive Thinking Allocation for Large Reasoning Models.

Jiazheng Song, Junxu Liu, Jinfei Liu, Jian Lou

Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment.

Tianyu Chen, Jian Lou, Wenjie Wang

Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance.

Jiawen Zhang, Lipeng He, Kejia Chen, Jian Lou, Jian Liu, Xiaohu Yang, Ruoxi Jia

Signal-Guided Optimization for Machine Unlearning.

Xujia Li, Dan Li, Jian Lou, Wenjie Feng

Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability.

Yulin Jin, Xiaoyu Zhang, Haoyu Tong, Jian Lou, Kai Wu, Haibo Hu, Xiaofeng Chen

Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning.

Jiahui Zhou, Dan Li, Boxin Li, Xiao Zhang, Erli Meng, Lin Li, Zhuomin Chen, Jian Lou, See-Kiong Ng

Token-level Inference-Time Alignment for Vision-Language Models.

Kejia Chen, Junjun Zheng, Jiawen Zhang, Manxi Lin, Xiao Pan, Jiacong Hu, Jian Lou, Zunlei Feng, Mingli Song

TSQAgent: Rating Time Series Data Quality via Dedicated Agentic Reasoning.

Shunyu Wu, Dan Li, Haozheng Ye, Weibin Feng, Jian Lou, Bo Zhang, Wenjie Feng, Chenjuan Guo, See-Kiong Ng

TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment.

Shunyu Wu, Dan Li, Haozheng Ye, Zhuomin Chen, Jiahui Zhou, Jian Lou, Zibin Zheng, See-Kiong Ng

Understanding and Preserving Safety in Fine-Tuned LLMs.

Jiawen Zhang, Yangfan Hu, Kejia Chen, Lipeng He, Jiachen Ma, Jian Lou, Dan Li, Jian Liu, Xiaohu Yang, Ruoxi Jia

WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting.

Shunyu Wu, Jiawei Huang, Weibin Feng, Boxin Li, Xiao Zhang, Erli Meng, Dan Li, Jian Lou, See-Kiong Ng

A Unified CatBoost Framework for IoT Data Classification Using Multi-Level Feature Extraction.

Chengfeng Qiu, Jiahui Zhou, Yongfeng Liao, Zhengliang Cui, Dan Li

Activation Approximations Can Incur Safety Vulnerabilities in Aligned LLMs: Comprehensive Analysis and Defense.

Jiawen Zhang, Kejia Chen, Lipeng He, Jian Lou, Dan Li, Zunlei Feng, Mingli Song, Jian Liu, Kui Ren, Xiaohu Yang

Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training.

Fenghua Weng, Jian Lou, Jun Feng, Minlie Huang, Wenjie Wang

AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection.

Xinyu Li, Yingtong Huo, Chenxi Mao, Shiwen Shan, Yuxin Su, Dan Li, Zibin Zheng

Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction.

Zekai Zhang, Dan Li, Shunyu Wu, Junya Cai, Bo Zhang, See-Kiong Ng, Zibin Zheng

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off.

Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

ConfLogger: Enhance Systems' Configuration Diagnosability through Configuration Logging.

Shiwen Shan, Yintong Huo, Yuxin Su, Zhining Wang, Dan Li, Zibin Zheng

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning.

Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong

Cyber-Attack Detection and Localization for SCADA system of CPSs.

Dan Li, Junnan Tang, Shunyu Wu, Zibin Zheng, See-Kiong Ng

Don't Say No: Jailbreaking LLM by Suppressing Refusal.

Yukai Zhou, Jian Lou, Zhijie Huang, Zhan Qin, Sibei Yang, Wenjie Wang

DuplexGuard: Safeguarding Deletion Right in Machine Unlearning via Duplex Watermarking.

Xiaoyu Zhang, Chenyang Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen

Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision.

Jiahui Zhou, Dan Li, Lin Li, Zhuomin Chen, Shunyu Wu, Haozheng Ye, Jian Lou, Costas J. Spanos

FELEMN: Toward Efficient Feature-Level Machine Unlearning for Exact Privacy Protection.

Zhigang Wang, Yizhen Yu, Mingxin Li, Jian Lou, Ning Wang, Yu Gu, Shen Su, Yuan Liu, Hui Jiang, Zhihong Tian

Fostering Active Learning: A Study on Anonymous Q&A Software in Undergraduate Education.

Dan Li, Zigui Jiang, Yuxin Su, Zibin Zheng

Generating High-Quality Datasets for Code Editing via Open-Source Language Models.

Zekai Zhang, Mingwei Liu, Zhenxi Chen, Linxi Liang, Yuxuan Chen, Guangsheng Ou, Yanlin Wang, Dan Li, Xin Peng, Zibin Zheng

Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting.

Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance.

Jingwen Tan, Gopi Krishnan Rajbahadur, Zi Li, Xiangfu Song, Jianshan Lin, Dan Li, Zibin Zheng, Ahmed E. Hassan

LogExpertSolver: A Multi-Agent Framework for Domain-Specialized Log Parsing.

Chenxi Mao, Yuxin Su, Dan Li

Module-Aware Parameter-Efficient Machine Unlearning on Transformers.

Wenjie Bao, Jian Lou, Yuke Hu, Xiaochen Li, Zhihao Liu, Jiaqi Liu, Zhan Qin, Kui Ren

ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning.

Zihou Wu, Yuecheng Li, Tianchi Liao, Jian Lou, Chuan Chen

PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models.

Chenyang Zhang, Xiaoyu Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen

PreferCare: Preference Dataset Copyright Protection in LLM Alignment by Watermark Injection and Verification.

Jian Lou, Chenyang Zhang, Xiaoyu Zhang, Kai Wu

Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense.

Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin

Purifier$^{+}$: Plug-and-Play Backdoor Mitigation for Pre-Trained Models via Activation Alignment.

Xiaoyu Zhang, Yulin Jin, Haoyu Tong, Jian Lou, Kai Wu, Xiaofeng Chen

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner.

Kejia Chen, Jiawen Zhang, Jiacong Hu, Jiazhen Yang, Jian Lou, Zunlei Feng, Mingli Song

Soft label enhanced graph neural network under heterophily.

Han Yang, Junyuan Fang, Jiajing Wu, Dan Li, Yaonan Wang, Zibin Zheng

Towards answering analytical query over hierarchical histogram under untrusted servers.

Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui

Towards Mitigating Excessive Forgetting in LLM Unlearning via Entanglement-Aware Unlearning with Proxy Constraint.

Zhihao Liu, Jian Lou, Yuke Hu, Xiaochen Li, Tailun Chen, Yitian Chen, Zhan Qin

Zeroth-Order Federated Private Tuning for Pretrained Large Language Models.

Xiaoyu Zhang, Yong Lin, Meixia Miao, Jian Lou, Jin Li, Xiaofeng Chen

Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions.

Haoyu Tong, Xiaoyu Zhang, Yulin Jin, Jian Lou, Kai Wu, Xiaofeng Chen

Cross-silo Federated Learning with Record-level Personalized Differential Privacy.

Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng

Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning.

Zhihao Liu, Jian Lou, Wenjie Bao, Yuke Hu, Bo Li, Zhan Qin, Kui Ren

Does Differential Privacy Prevent Backdoor Attacks in Practice?

Fereshteh Razmi, Jian Lou, Li Xiong

DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy.

Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong

ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach.

Yuke Hu, Jian Lou, Jiaqi Liu, Wangze Ni, Feng Lin, Zhan Qin, Kui Ren

eWAPA: An eBPF-based WASI Performance Analysis Framework for Web Assembly Runtimes.

Chenxi Mao, Yuxin Su, Shiwen Shan, Dan Li

eWAPA: An eBPF-based WASI Performance Analysis Framework for WebAssembly Runtimes.

Chenxi Mao, Yuxin Su, Shiwen Shan, Dan Li

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.

Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng

FD-LLM: Large Language Model for Fault Diagnosis of Machines.

Hamzah A. A. M. Qaid, Bo Zhang, Dan Li, See-Kiong Ng, Wei Li

GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series.

Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng

IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity.

Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-an Ko, Li Xiong

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices.

Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen

Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory.

Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren

MaskArmor: Confidence masking-based defense mechanism for GNN against MIA.

Chenyang Chen, Xiaoyu Zhang, Hongyi Qiu, Jian Lou, Zhengyang Liu, Xiaofeng Chen

Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World.

Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun

PoisonPrompt: Backdoor Attack on Prompt-Based Large Language Models.

Hongwei Yao, Jian Lou, Zhan Qin

PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification.

Hongwei Yao, Jian Lou, Zhan Qin, Kui Ren

Rapid Plug-in Defenders.

Kai Wu, Yujian Betterest Li, Jian Lou, Xiaoyu Zhang, Handing Wang, Jing Liu

RemovalNet: DNN Fingerprint Removal Attacks.

Hongwei Yao, Zheng Li, Kunzhe Huang, Jian Lou, Zhan Qin, Kui Ren

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models.

Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song

Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics.

Lanlan Chen, Kai Wu, Jian Lou, Jing Liu

ACQ: Few-shot Backdoor Defense via Activation Clipping and Quantizing.

Yulin Jin, Xiaoyu Zhang, Jian Lou, Xiaofeng Chen

Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence.

Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng

CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation.

Pengyun Zhu, Long Wen, Jinfei Liu, Feng Xue, Jian Lou, Zhibo Wang, Kui Ren

CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks.

Richa Hu, Dan Li, See-Kiong Ng, Zibin Zheng

Certified Minimax Unlearning with Generalization Rates and Deletion Capacity.

Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren

Closed-form Machine Unlearning for Matrix Factorization.

Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu

DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries.

Congcong Fu, Hui Li, Jian Lou, Huizhen Li, Jiangtao Cui

Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets.

Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong

Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective.

Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen

Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning.

Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng

FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis.

Yiling He, Jian Lou, Zhan Qin, Kui Ren

Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records.

Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong

MAD-SGS: Multivariate Anomaly Detection with Multi-scale Self-learned Graph Structures.

Junnan Tang, Dan Li, Zibin Zheng

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping.

Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani

MUter: Machine Unlearning on Adversarially Trained Models.

Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin

Personalized Differentially Private Federated Learning without Exposing Privacy Budgets.

Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng

Prompt Valuation Based on Shapley Values.

Hanxi Liu, Xiaokai Mao, Haocheng Xia, Jian Lou, Jinfei Liu

Wasserstein Adversarial Examples on Univariant Time Series Data.

Wenjie Wang, Li Xiong, Jian Lou

Backdoor Attacks on Crowd Counting.

Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun

DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server.

Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.

Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren

Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks.

Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong

Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction.

Kaixin Yuan, Jing Liu, Jian Lou

MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks.

Panpan Qi, Dan Li, See-Kiong Ng

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning.

Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani

Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels.

Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang

Purifier: Plug-and-play Backdoor Mitigation for Pre-trained Models Via Anomaly Activation Suppression.

Xiaoyu Zhang, Yulin Jin, Tao Wang, Jian Lou, Xiaofeng Chen

Robust Tensor SVD and Recovery With Rank Estimation.

Qiquan Shi, Yiu-Ming Cheung, Jian Lou

RobustFed: A Truth Inference Approach for Robust Federated Learning.

Farnaz Tahmasebian, Jian Lou, Li Xiong

Towards Training Graph Neural Networks with Node-Level Differential Privacy.

Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data.

Yiu-ming Cheung, Juyong Jiang, Feng Yu, Jian Lou