Prima: Probabilistic Ranking with Inter-Item Competition and Multi-Attribute Utility Function. - Qingming Li; Zhanjiang Chen; H. Vicky Zhao; Yan Lindsay Sun (ICASSP, 2018)

Statistical and Machine Learning-based E-commerce Sales Forecasting. - Wenxiang Dong; Qingming Li; H. Vicky Zhao (ICCSE, 2019)

Low-pass-filter-based shock response spectrum and the evaluation method of transmissibility between equipment and sensitive components interfaces. - Yinzhong Yan; Qingming Li (CoRR, 2019)

Prediction Model and Application Case of Rock Drillability based on Acoustic Velocity. - Bo Zhou; Xun Chen; Ximo Qu; Jie Wang; Mingtao Liu; Qingming Li; Guang Yang; Sheng Han (EEET, 2020)

Consistency Regularization for Ensemble Model Based Reinforcement Learning. - Ruonan Jia; Qingming Li; Wenzhen Huang; Junge Zhang; Xiu Li 001 (PRICAI (3), 2021)

A homogenized damping model for the propagation of elastic wave in a porous solid. - Kangpei Meng; Qingming Li (CoRR, 2021)

PRIMA++: A Probabilistic Framework for User Choice Modelling With Small Data. - Qingming Li; Zhanjiang Chen; H. Vicky Zhao (IEEE Trans. Signal Process., 2021)

Integrating Reinforcement Learning and Optimal Power Dispatch to Enhance Power Grid Resilience. - Qingming Li; Xi Zhang 007; Jianbo Guo; Xiwen Shan; Zuowei Wang; Zhen Li 004; Chi K. Tse (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Performance Evaluation System Based on Multi-Indicators for Signal Recognition. - Qingming Li; Songlin Yang; Hu Chen (IEEE Access, 2023)

Position Weighted Convolutional Neural Network for Unbalanced Children Caries Diagnosis. - Xiaojie Zhou; Xueou Feng; Qingming Li; Qiyue Yin; Jun Yang 028; Guoxia Yu; Qing Shi (IEEE Access, 2023)

Pacos: Modeling Users' Interpretable and Context-Dependent Choices in Preference Reversals. - Qingming Li; H. Vicky Zhao (CoRR, 2023)

Modelling Projection Bias in Intertemporal Choices: A Prospect Theory Based Approach. - Qingming Li; H. Vicky Zhao (CoRR, 2023)

Pacos: Modeling preference reversals in users' context-dependent choices. - Qingming Li; H. Vicky Zhao (Knowl. Based Syst., 2023)

AdaFL: Adaptive Client Selection and Dynamic Contribution Evaluation for Efficient Federated Learning. - Qingming Li; Xiaohang Li; Li Zhou; Xiaoran Yan (ICASSP, 2024)

A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. - Puning Zhao; Lifeng Lai; Li Shen 008; Qingming Li; Jiafei Wu; Zhe Liu 001 (NeurIPS, 2024)

FedSGProx: Mitigating Data Heterogeneity and Isolated Nodes in Graph Federated Learning. - Xutao Meng; Qingming Li; Yong Li; Li Zhou; Xiaoran Yan (TrustCom, 2024)

Could It Be Generated? Towards Practical Analysis of Memorization in Text-To-Image Diffusion Models. - Zhe Ma 002; Xuhong Zhang 002; Qingming Li; Tianyu Du; Wenzhi Chen; Zonghui Wang; Shouling Ji (CoRR, 2024)

How to Train a Backdoor-Robust Model on a Poisoned Dataset without Auxiliary Data? - Yuwen Pu; Jiahao Chen; Chunyi Zhou; Zhou Feng; Qingming Li; Chunqiang Hu; Shouling Ji (CoRR, 2024)

A Stealthy Backdoor Attack for Without-Label-Sharing Split Learning. - Yuwen Pu; Zhuoyuan Ding; Jiahao Chen; Chunyi Zhou; Qingming Li; Chunqiang Hu; Shouling Ji (CoRR, 2024)

Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. - Qingming Li; Juzheng Miao; Puning Zhao; Li Zhou; Shouling Ji; Bowen Zhou 002; Furui Liu (CoRR, 2024)

Enhancing Learning with Label Differential Privacy by Vector Approximation. - Puning Zhao; Rongfei Fan; Huiwen Wu; Qingming Li; Jiafei Wu; Zhe Liu 001 (CoRR, 2024)

Learning with User-Level Local Differential Privacy. - Puning Zhao; Li Shen 008; Rongfei Fan; Qingming Li; Huiwen Wu; Jiafei Wu; Zhe Liu 001 (CoRR, 2024)

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents. - Yuyou Gan; Yong Yang; Zhe Ma 002; Ping He; Rui Zeng; Yiming Wang; Qingming Li; Chunyi Zhou; Songze Li; Ting Wang 006; Yunjun Gao; Yingcai Wu; et al. (CoRR, 2024)

AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models. - Yiming Wang; Jiahao Chen; Qingming Li; Xing Yang 004; Shouling Ji (CoRR, 2024)

Probe: Learning Users' Personal Projection Bias in Inter-Temporal Choices. - Qingming Li; H. Vicky Zhao (IEEE Trans. Signal Process., 2024)

FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme. - Gang Wang; Li Zhou; Qingming Li; Xiaoran Yan; Ximeng Liu; Yuncheng Wu (IEEE Internet Things J., 2024)

CAMH: Advancing Model Hijacking Attack in Machine Learning. - Xing He; Jiahao Chen; Yuwen Pu; Qingming Li; Chunyi Zhou; Yingcai Wu; Jinbao Li; Shouling Ji (AAAI, 2025)

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. - Puning Zhao; Jiafei Wu; Zhe Liu 001; Chong Wang 001; Rongfei Fan; Qingming Li (AAAI, 2025)

TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models. - Xindi Li; Zhe Liu 001; Tong Zhang; Jiahao Chen; Qingming Li; Jinbao Li; Shouling Ji (ACL (1), 2025)

Enhancing Learning with Label Differential Privacy by Vector Approximation. - Puning Zhao; Jiafei Wu; Zhe Liu 001; Li Shen 008; Zhikun Zhang 001; Rongfei Fan; Le Sun; Qingming Li (ICLR, 2025)

Enhancing Adversarial Transferability via Self-Ensemble Feature Alignment. - Zhiming Zhao; Jiahao Chen; Qingming Li; Chunyi Zhou; Shouling Ji (ICMR, 2025)

VFGCN: A Vertical Federated Learning Framework With Privacy Preserving for Graph Convolutional Network. - Gang Wang; Qingming Li; Ximeng Liu; Xiaoran Yan; Qingkuan Dong; Huiwen Wu; Xiangjie Kong 001; Li Zhou (IEEE Trans. Dependable Secur. Comput., 2025)

Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data. - Jiale Zhang 001; Bosen Rao; Chengcheng Zhu; Xiaobing Sun 001; Qingming Li; Haibo Hu 001; Xiapu Luo; Qingqing Ye 001; Shouling Ji (CoRR, 2025)

UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning. - Oubo Ma; Linkang Du; Yang Dai; Chunyi Zhou; Qingming Li; Yuwen Pu; Shouling Ji (CoRR, 2025)

Robust and Secure Aggregation Scheme for Federated Learning. - Wei Tang; Jiliang Li; Chengyi Dong; Yinbin Miao; Qingming Li; Na Li; Shuiguang Deng; Shouling Ji (IEEE Internet Things J., 2025)

Poison in the Well: Feature Embedding Disruption in Backdoor Attacks. - Zhou Feng; Jiahao Chen; Chunyi Zhou; Yuwen Pu; Qingming Li; Shouling Ji (CoRR, 2025)

VModA: An Effective Framework for Adaptive NSFW Image Moderation. - Han Bao; Qinying Wang; Zhi Chen; Qingming Li; Xuhong Zhang 002; Changjiang Li; Zonghui Wang; Shouling Ji; Wenzhi Chen (CoRR, 2025)

Efficient Encrypted Trajectory Similarity Query Over Mobile E-Health Cloud. - Xin Wang; Yinbin Miao; Shu Zhang; Qingming Li; Jiawei Zhang; Kefeng Ding; Shouling Ji (IEEE Internet Things J., 2025)

LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing. - Jiahao Chen; Junhao Li; Yiming Wang; Zhe Ma 002; Yi Jiang; Chunyi Zhou; Qingming Li; Tianyu Du; Shouling Ji (CoRR, 2025)

Enkidu: Universal Frequential Perturbation for Real-Time Audio Privacy Protection against Voice Deepfakes. - Zhou Feng; Jiahao Chen; Chunyi Zhou; Yuwen Pu; Qingming Li; Tianyu Du; Shouling Ji (CoRR, 2025)

IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents. - Hengyu An; Jinghuai Zhang; Tianyu Du; Chunyi Zhou; Qingming Li; Tao Lin 004; Shouling Ji (CoRR, 2025)

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models. - Naen Xu; Jinghuai Zhang; Changjiang Li; Zhi Chen; Chunyi Zhou; Qingming Li; Tianyu Du; Shouling Ji (CoRR, 2025)