| 2026 | AAAI | 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 |
| 2026 | ACL | 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 |
| 2026 | DASFAA | 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 |
| 2025 | ACISP | Zeroth-Order Federated Private Tuning for Pretrained Large Language Models. | Xiaoyu Zhang, Yong Lin, Meixia Miao, Jian Lou, Jin Li, Xiaofeng Chen |
| 2025 | ACL | Don't Say No: Jailbreaking LLM by Suppressing Refusal. | Yukai Zhou, Jian Lou, Zhijie Huang, Zhan Qin, Sibei Yang, Wenjie Wang |
| 2025 | CCS | PreferCare: Preference Dataset Copyright Protection in LLM Alignment by Watermark Injection and Verification. | Jian Lou, Chenyang Zhang, Xiaoyu Zhang, Kai Wu |
| 2025 | CIKM | 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 |
| 2025 | EMNLP | Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training. | Fenghua Weng, Jian Lou, Jun Feng, Minlie Huang, Wenjie Wang |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | IJCAI | Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. | Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong |
| 2024 | AAAI | Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics. | Lanlan Chen, Kai Wu, Jian Lou, Jing Liu |
| 2024 | AAAI | 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 |
| 2024 | CCS | 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 |
| 2024 | CCS | Cross-silo Federated Learning with Record-level Personalized Differential Privacy. | Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng |
| 2024 | CVPR | 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 |
| 2024 | DBSEC | Does Differential Privacy Prevent Backdoor Attacks in Practice? | Fereshteh Razmi, Jian Lou, Li Xiong |
| 2024 | ECAI | SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. | Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song |
| 2024 | ICASSP | PoisonPrompt: Backdoor Attack on Prompt-Based Large Language Models. | Hongwei Yao, Jian Lou, Zhan Qin |
| 2024 | WWW | DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. | Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong |
| 2024 | SP | PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification. | Hongwei Yao, Jian Lou, Zhan Qin, Kui Ren |
| 2023 | CCS | FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. | Yiling He, Jian Lou, Zhan Qin, Kui Ren |
| 2023 | CIKM | Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. | Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng |
| 2023 | CIKM | Closed-form Machine Unlearning for Matrix Factorization. | Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu |
| 2023 | ICCV | Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective. | Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen |
| 2023 | ICCV | MUter: Machine Unlearning on Adversarially Trained Models. | Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin |
| 2022 | CIKM | DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server. | Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui |
| 2022 | CIKM | RobustFed: A Truth Inference Approach for Robust Federated Learning. | Farnaz Tahmasebian, Jian Lou, Li Xiong |
| 2022 | ICDM | Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. | Kaixin Yuan, Jing Liu, Jian Lou |
| 2021 | CIKM | Temporal Network Embedding via Tensor Factorization. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho |
| 2021 | ICCV | Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. | Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi |
| 2021 | ICDM | Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho |
| 2021 | IJCAI | Private Stochastic Non-convex Optimization with Improved Utility Rates. | Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong |
| 2021 | NAACL | Certified Robustness to Word Substitution Attack with Differential Privacy. | Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong |
| 2021 | PCS | An Optimized H.266/VVC Software Decoder On Mobile Platform. | Yiming Li, Shan Liu, Yu Chen, Yushan Zheng, Sijia Chen, Bin Zhu, Jian Lou |
| 2021 | WWW | Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho |
| 2021 | WISE | Vertical Federated Principal Component Analysis on Feature-Wise Distributed Data. | Yiu-ming Cheung, Jian Lou, Feng Yu |
| 2020 | CIKM | Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. | Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho |
| 2020 | ICASSP | Social Data Assisted Multi-Modal Video Analysis For Saliency Detection. | Jiangyue Xia, Jingqi Tian, Jiankai Xing, Jiawen Cheng, Jun Zhang, Jiangtao Wen, Zhengguang Li, Jian Lou |
| 2020 | VCIP | Adaptive Resolution Change for Versatile Video Coding. | Tsui-Shan Chang, Yu-Chen Sun, Ling Zhu, Jian Lou |
| 2019 | CIKM | Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. | Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang |
| 2019 | MICCAI | Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. | Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu |
| 2018 | AAAI | Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. | Jian Lou, Yiu-ming Cheung |
| 2016 | AAAI | Multi-Defender Strategic Filtering Against Spear-Phishing Attacks. | Aron Laszka, Jian Lou, Yevgeniy Vorobeychik |
| 2016 | CIKM | Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. | Yiu-ming Cheung, Jian Lou |
| 2015 | ACML | Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization. | Yiu-ming Cheung, Jian Lou |
| 2015 | IJCAI | Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization. | Yiu-ming Cheung, Jian Lou |
| 2015 | IJCAI | Equilibrium Analysis of Multi-Defender Security Games. | Jian Lou, Yevgeniy Vorobeychik |
| 2014 | ICIP | Joint design of bi-predictive interpolation filters. | Koohyar Minoo, Jian Lou |
| 2013 | HCI | A Color Schemer for Webpage Design Using Interactive Mood Board. | Zhenyu Gu, Zhanwei Wu, Jiamin Yu, Jian Lou |
| 2008 | ISCAS | Complexity and memory efficient GOP structures supporting VCR functionalities in H.264/AVC. | Jian Lou, Shan Liu, Anthony Vetro, Ming-Ting Sun |
| 2007 | ISCAS | Statistical Analysis Based H.264 High Profile Deblocking Speedup. | Jian Lou, Ashish Jagmohan, Dake He, Ligang Lu, Ming-Ting Sun |
| 2005 | ISCAS | The technique of pre-scaled integer transform. | Cixun Zhang, Jian Lou, Lu Yu, Jie Dong, Wai-kuen Cham |
| 2002 | VCIP | Highly efficient simulation environment for HDTV video decoder in VLSI design. | Xun Mao, Wei Wang, Huimin Gong, Yan L. He, Jian Lou, Lu Yu, Qingdong Yao, Peter Pirsch |