Jian Lou - RankMe

126 papers A* 31A 10B 1C 1Misc 1Journal 71Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data. IEEE Trans. Dependable Secur. Comput. Qiao Xue, Qingqing Ye, Haibo Hu, Jian Lou, Jin Li, Chengfang Fang, Jie Shi
2026	J	`jnl`	MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices. CoRR Jiahui Zhou, Dan Li, Ruibing Jin, Jian Lou, Yanran Zhao, Zhenghua Chen, Zigui Jiang, See-Kiong Ng
2026	J	`jnl`	Restoring missing gaps and intervals via global consistency and local coherence. Expert Syst. Appl. Richa Hu, Dan Li, Jian Lou, Ruibing Jin, Bingxin Lin, Wenzhong Li, See-Kiong Ng, Zibin Zheng
2026	J	`jnl`	Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance. CoRR Jiawen Zhang, Lipeng He, Kejia Chen, Jian Lou, Jian Liu, Xiaohu Yang, Ruoxi Jia
2026	A*	`conf`	Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability. AAAI Yulin Jin, Xiaoyu Zhang, Haoyu Tong, Jian Lou, Kai Wu, Haibo Hu, Xiaofeng Chen
2026	J	`jnl`	Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning. CoRR Jiahui Zhou, Dan Li, Boxin Li, Xiao Zhang, Erli Meng, Lin Li, Zhuomin Chen, Jian Lou, See-Kiong Ng
2026	J	`jnl`	Understanding and Preserving Safety in Fine-Tuned LLMs. CoRR Jiawen Zhang, Yangfan Hu, Kejia Chen, Lipeng He, Jiachen Ma, Jian Lou, Dan Li, Jian Liu, Xiaohu Yang, Ruoxi Jia
2025	J	`jnl`	Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense. CoRR Jiawen Zhang, Kejia Chen, Lipeng He, Jian Lou, Dan Li, Zunlei Feng, Mingli Song, Jian Liu, Kui Ren, Xiaohu Yang
2025	A*	`conf`	Activation Approximations Can Incur Safety Vulnerabilities in Aligned LLMs: Comprehensive Analysis and Defense. USENIX Security Symposium Jiawen Zhang, Kejia Chen, Lipeng He, Jian Lou, Dan Li, Zunlei Feng, Mingli Song, Jian Liu, Kui Ren, Xiaohu Yang
2025	—	`conf`	Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training. EMNLP (Findings) Fenghua Weng, Jian Lou, Jun Feng, Minlie Huang, Wenjie Wang
2025	J	`jnl`	Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training. CoRR Fenghua Weng, Jian Lou, Jun Feng, Minlie Huang, Wenjie Wang
2025	A*	`conf`	Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models. ICML Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song
2025	A*	`conf`	Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. ICML Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen
2025	A*	`conf`	Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. IJCAI Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong
2025	—	`conf`	Don't Say No: Jailbreaking LLM by Suppressing Refusal. ACL (Findings) Yukai Zhou, Jian Lou, Zhijie Huang, Zhan Qin, Sibei Yang, Wenjie Wang
2025	J	`jnl`	DuplexGuard: Safeguarding Deletion Right in Machine Unlearning via Duplex Watermarking. IEEE Trans. Dependable Secur. Comput. Xiaoyu Zhang, Chenyang Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen
2025	J	`jnl`	Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision. CoRR Jiahui Zhou, Dan Li, Lin Li, Zhuomin Chen, Shunyu Wu, Haozheng Ye, Jian Lou, Costas J. Spanos
2025	J	`jnl`	FELEMN: Toward Efficient Feature-Level Machine Unlearning for Exact Privacy Protection. IEEE Trans. Knowl. Data Eng. Zhigang Wang, Yizhen Yu, Mingxin Li, Jian Lou, Ning Wang, Yu Gu, Shen Su, Yuan Liu, Hui Jiang, Zhihong Tian
2025	A	`conf`	Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. CIKM Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng
2025	J	`jnl`	Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. CoRR Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng
2025	J	`jnl`	Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning. CoRR Shunyu Wu, Tianyue Li, Yixuan Leng, Jingyi Suo, Jian Lou, Dan Li, See-Kiong Ng
2025	J	`jnl`	Module-Aware Parameter-Efficient Machine Unlearning on Transformers. CoRR Wenjie Bao, Jian Lou, Yuke Hu, Xiaochen Li, Zhihao Liu, Jiaqi Liu, Zhan Qin, Kui Ren
2025	J	`jnl`	ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning. CoRR Zihou Wu, Yuecheng Li, Tianchi Liao, Jian Lou, Chuan Chen
2025	A*	`conf`	PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models. ICML Chenyang Zhang, Xiaoyu Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen
2025	A*	`conf`	PreferCare: Preference Dataset Copyright Protection in LLM Alignment by Watermark Injection and Verification. CCS Jian Lou, Chenyang Zhang, Xiaoyu Zhang, Kai Wu
2025	J	`jnl`	Privacy Risks of Federated Knowledge Graph Embedding: New Membership Inference Attacks and Personalized Differential Privacy Defense. IEEE Trans. Dependable Secur. Comput. Yuke Hu, Yang Wang, Jian Lou, Wei Liang, Ruofan Wu, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin
2025	J	`jnl`	Purifier$^{+}$: Plug-and-Play Backdoor Mitigation for Pre-Trained Models via Activation Alignment. IEEE Trans. Multim. Xiaoyu Zhang, Yulin Jin, Haoyu Tong, Jian Lou, Kai Wu, Xiaofeng Chen
2025	J	`jnl`	Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models. CoRR Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song
2025	J	`jnl`	SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner. CoRR Kejia Chen, Jiawen Zhang, Jiacong Hu, Jiazhen Yang, Jian Lou, Zunlei Feng, Mingli Song
2025	J	`jnl`	Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment. CoRR Tianyu Chen, Jian Lou, Wenjie Wang
2025	J	`jnl`	SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. CoRR Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song, Jian Liu, Xiaohu Yang
2025	J	`jnl`	TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment. CoRR Shunyu Wu, Dan Li, Haozheng Ye, Zhuomin Chen, Jiahui Zhou, Jian Lou, Zibin Zheng, See-Kiong Ng
2025	J	`jnl`	Token-Level Inference-Time Alignment for Vision-Language Models. CoRR Kejia Chen, Jiawen Zhang, Jiacong Hu, Kewei Gao, Jian Lou, Zunlei Feng, Mingli Song
2025	J	`jnl`	Towards Mitigating Excessive Forgetting in LLM Unlearning via Entanglement-Aware Unlearning with Proxy Constraint. CoRR Zhihao Liu, Jian Lou, Yuke Hu, Xiaochen Li, Tailun Chen, Yitian Chen, Zhan Qin
2025	J	`jnl`	Towards answering analytical query over hierarchical histogram under untrusted servers. Distributed Parallel Databases Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui
2025	—	`conf`	Zeroth-Order Federated Private Tuning for Pretrained Large Language Models. ACISP (3) Xiaoyu Zhang, Yong Lin, Meixia Miao, Jian Lou, Jin Li, Xiaofeng Chen
2024	A*	`conf`	Balancing Generalization and Robustness in Adversarial Training via Steering through Clean and Adversarial Gradient Directions. ACM Multimedia Haoyu Tong, Xiaoyu Zhang, Yulin Jin, Jian Lou, Kai Wu, Xiaofeng Chen
2024	J	`jnl`	Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. CoRR Yuecheng Li, Tong Wang, Chuan Chen, Jian Lou, Bin Chen, Lei Yang, Zibin Zheng
2024	J	`jnl`	Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. CoRR Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong
2024	A*	`conf`	Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CCS Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
2024	J	`jnl`	Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CoRR Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
2024	A*	`conf`	DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. WWW Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong
2024	J	`jnl`	Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning. CoRR Zhihao Liu, Jian Lou, Wenjie Bao, Yuke Hu, Bo Li, Zhan Qin, Kui Ren
2024	B	`conf`	Does Differential Privacy Prevent Backdoor Attacks in Practice? DBSec Fereshteh Razmi, Jian Lou, Li Xiong
2024	A*	`conf`	ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. CCS Yuke Hu, Jian Lou, Jiaqi Liu, Wangze Ni, Feng Lin, Zhan Qin, Kui Ren
2024	A*	`conf`	IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. AAAI Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-An Ko, Li Xiong
2024	J	`jnl`	Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. Proc. ACM Manag. Data Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren
2024	J	`jnl`	MaskArmor: Confidence masking-based defense mechanism for GNN against MIA. Inf. Sci. Chenyang Chen, Xiaoyu Zhang, Hongyi Qiu, Jian Lou, Zhengyang Liu, Xiaofeng Chen
2024	A*	`conf`	Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World. CVPR Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun
2024	J	`jnl`	Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World. CoRR Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun
2024	Misc	`conf`	PoisonPrompt: Backdoor Attack on Prompt-Based Large Language Models. ICASSP Hongwei Yao, Jian Lou, Zhan Qin
2024	A*	`conf`	PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification. SP Hongwei Yao, Jian Lou, Zhan Qin, Kui Ren
2024	A*	`conf`	Rapid Plug-in Defenders. NeurIPS Kai Wu, Yujian Betterest Li, Jian Lou, Xiaoyu Zhang, Handing Wang, Jing Liu
2024	J	`jnl`	RemovalNet: DNN Fingerprint Removal Attacks. IEEE Trans. Dependable Secur. Comput. Hongwei Yao, Zheng Li, Kunzhe Huang, Jian Lou, Zhan Qin, Kui Ren
2024	A	`conf`	SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. ECAI Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou, Mingli Song
2024	A*	`conf`	Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics. AAAI Lanlan Chen, Kai Wu, Jian Lou, Jing Liu
2023	A*	`conf`	ACQ: Few-shot Backdoor Defense via Activation Clipping and Quantizing. ACM Multimedia Yulin Jin, Xiaoyu Zhang, Jian Lou, Xiaofeng Chen
2023	A*	`conf`	CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation. NeurIPS Pengyun Zhu, Long Wen, Jinfei Liu, Feng Xue, Jian Lou, Zhibo Wang, Kui Ren
2023	A*	`conf`	Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. NeurIPS Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren
2023	J	`jnl`	Certified Minimax Unlearning with Generalization Rates and Deletion Capacity. CoRR Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren
2023	A	`conf`	Closed-form Machine Unlearning for Matrix Factorization. CIKM Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu
2023	J	`jnl`	DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. CoRR Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui
2023	J	`jnl`	DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries. Proc. ACM Manag. Data Congcong Fu, Hui Li, Jian Lou, Huizhen Li, Jiangtao Cui
2023	J	`jnl`	Does Differential Privacy Prevent Backdoor Attacks in Practice? CoRR Fereshteh Razmi, Jian Lou, Li Xiong
2023	J	`jnl`	ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach. CoRR Yuke Hu, Jian Lou, Jiaqi Liu, Feng Lin, Zhan Qin, Kui Ren
2023	J	`jnl`	Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. Proc. VLDB Endow. Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong
2023	A*	`conf`	Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective. ICCV Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen
2023	A*	`conf`	FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. CCS Yiling He, Jian Lou, Zhan Qin, Kui Ren
2023	J	`jnl`	FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis. CoRR Yiling He, Jian Lou, Zhan Qin, Kui Ren
2023	J	`jnl`	Federated Semi-Supervised Learning with Annotation Heterogeneity. CoRR Xinyi Shang, Gang Huang, Yang Lu, Jian Lou, Bo Han, Yiu-ming Cheung, Hanzi Wang
2023	—	`conf`	Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. ECML/PKDD (3) Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong
2023	J	`jnl`	Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory. CoRR Xiaochen Li, Weiran Liu, Jian Lou, Yuan Hong, Lei Zhang, Zhan Qin, Kui Ren
2023	—	`conf`	MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. ML4H@NeurIPS Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani
2023	A*	`conf`	MUter: Machine Unlearning on Adversarially Trained Models. ICCV Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin
2023	A	`conf`	Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng
2023	J	`jnl`	PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models. CoRR Hongwei Yao, Jian Lou, Zhan Qin
2023	J	`jnl`	Prompt Valuation Based on Shapley Values. CoRR Hanxi Liu, Xiaokai Mao, Haocheng Xia, Jian Lou, Jinfei Liu
2023	J	`jnl`	PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification. CoRR Hongwei Yao, Jian Lou, Kui Ren, Zhan Qin
2023	J	`jnl`	Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics. CoRR Lanlan Chen, Kai Wu, Jian Lou, Jing Liu
2023	J	`jnl`	Wasserstein Adversarial Examples on Univariant Time Series Data. CoRR Wenjie Wang, Li Xiong, Jian Lou
2022	A*	`conf`	Backdoor Attacks on Crowd Counting. ACM Multimedia Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
2022	J	`jnl`	Backdoor Attacks on Crowd Counting. CoRR Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
2022	A	`conf`	DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server. CIKM Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui
2022	J	`jnl`	FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
2022	J	`jnl`	Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks. IEEE Trans. Dependable Secur. Comput. Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong
2022	A*	`conf`	Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. ICDM Kaixin Yuan, Jing Liu, Jian Lou
2022	J	`jnl`	MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. CoRR Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani
2022	J	`jnl`	Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. CoRR Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang
2022	A*	`conf`	Purifier: Plug-and-play Backdoor Mitigation for Pre-trained Models Via Anomaly Activation Suppression. ACM Multimedia Xiaoyu Zhang, Yulin Jin, Tao Wang, Jian Lou, Xiaofeng Chen
2022	J	`jnl`	Robust Tensor SVD and Recovery With Rank Estimation. IEEE Trans. Cybern. Qiquan Shi, Yiu-ming Cheung, Jian Lou
2022	A	`conf`	RobustFed: A Truth Inference Approach for Robust Federated Learning. CIKM Farnaz Tahmasebian, Jian Lou, Li Xiong
2022	J	`jnl`	Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong
2022	J	`jnl`	Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data. CoRR Yiu-ming Cheung, Juyong Jiang, Feng Yu, Jian Lou
2021	J	`jnl`	An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy. IEEE Trans. Neural Networks Learn. Syst. Jian Lou, Yiu-ming Cheung
2021	—	`conf`	Certified Robustness to Word Substitution Attack with Differential Privacy. NAACL-HLT Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong
2021	A*	`conf`	Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. WWW Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
2021	A*	`conf`	Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. ICDM Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho
2021	J	`jnl`	Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. CoRR Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho
2021	J	`jnl`	Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun
2021	J	`jnl`	Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun
2021	A*	`conf`	Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. ICCV Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
2021	J	`jnl`	Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. CoRR Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
2021	A*	`conf`	Private Stochastic Non-convex Optimization with Improved Utility Rates. IJCAI Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong
2021	J	`jnl`	Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
2021	J	`jnl`	RobustFed: A Truth Inference Approach for Robust Federated Learning. CoRR Farnaz Tahmasebian, Jian Lou, Li Xiong
2021	J	`jnl`	SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization. CoRR Wenbo Gou, Wen Shi, Jian Lou, Lijie Huang, Pan Zhou, Ruixuan Li
2021	J	`jnl`	SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. CoRR Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
2021	A	`conf`	Temporal Network Embedding via Tensor Factorization. CIKM Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
2021	J	`jnl`	Temporal Network Embedding via Tensor Factorization. CoRR Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
2021	—	`conf`	Vertical Federated Principal Component Analysis on Feature-Wise Distributed Data. WISE (1) Yiu-ming Cheung, Jian Lou, Feng Yu
2020	—	`conf`	Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. IEEE BigData Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, Li Xiong
2020	—	`conf`	Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration. WI/IAT Jian Lou, Yiu-ming Cheung
2020	A	`conf`	Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. CIKM Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho
2020	J	`jnl`	Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm. IEEE Trans. Image Process. Jian Lou, Yiu-ming Cheung
2020	J	`jnl`	Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. Meng Pang, Yiu-ming Cheung, Binghui Wang, Jian Lou
2020	—	`conf`	Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. IEEE BigData Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang
2019	A	`conf`	Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CIKM Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang
2019	J	`jnl`	Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CoRR Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang
2019	—	`conf`	Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. MLMI@MICCAI Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
2019	J	`jnl`	Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. Meng Pang, Yiu-ming Cheung, Risheng Liu, Jian Lou, Chuang Lin
2018	J	`jnl`	Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI. CoRR Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
2018	A*	`conf`	Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. AAAI Jian Lou, Yiu-ming Cheung
2017	J	`jnl`	Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization. Mach. Learn. Yiu-ming Cheung, Jian Lou
2016	A	`conf`	Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. CIKM Yiu-ming Cheung, Jian Lou
2015	A*	`conf`	Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization. IJCAI Yiu-ming Cheung, Jian Lou
2015	C	`conf`	Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization. ACML Yiu-ming Cheung, Jian Lou