An Active Approach for Model Interpretation. - Jialin Lu; Martin Ester (CoRR, 2019)

A Mixed-Variable Bayesian Optimization Approach for Analog Circuit Synthesis. - Jialin Lu; Shuhan Zhang; Fan Yang 001; Dian Zhou; Xuan Zeng 001 (ISCAS, 2020)

Automated Compensation Scheme Design for Operational Amplifier via Bayesian Optimization. - Jialin Lu; Liangbo Lei; Fan Yang 001; Changhao Yan; Xuan Zeng 001 (DAC, 2021)

Multiple Granularities with Gradual Transition Network for Person Re-identification. - Jialin Lu; Qingjie Zhao; Lei Wang (ICCSIP, 2021)

High-Confidence Sample Labelling for Unsupervised Person Re-identification. - Lei Wang; Qingjie Zhao; Shihao Wang; Jialin Lu; Ying Zhao (ICCSIP, 2021)

Interpretable Drug Response Prediction using a Knowledge-based Neural Network. - Oliver Snow; Hossein Sharifi-Noghabi; Jialin Lu; Olga I. Zolotareva; Mark Lee; Martin Ester (KDD, 2021)

An Interactive Visualization Tool for Understanding Active Learning. - Zihan Wang; Jialin Lu; Oliver Snow; Martin Ester (CoRR, 2021)

Topology Optimization of Operational Amplifier in Continuous Space via Graph Embedding. - Jialin Lu; Liangbo Lei; Fan Yang 001; Li Shang; Xuan Zeng 001 (DATE, 2022)

Subgroup Discovery in Unstructured Data. - Ali Arab; Dev Arora; Jialin Lu; Martin Ester (CoRR, 2022)

Graph Representation Learning for Microarchitecture Design Space Exploration. - Xiaoling Yi; Jialin Lu; Xiankui Xiong; Dong Xu 015; Li Shang; Fan Yang 001 (DAC, 2023)

Automatic Op-Amp Generation From Specification to Layout. - Jialin Lu; Liangbo Lei; Jiangli Huang; Fan Yang 001; Li Shang; Xuan Zeng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

High-Level Topology Synthesis Method for Δ-Σ Modulators via Bi-Level Bayesian Optimization. - Jialin Lu; Yijie Li; Fan Yang 001; Li Shang; Xuan Zeng 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection. - Jialin Lu; Junjie Shan; Ziqi Zhao; Ka-Ho Chow (CoRR, 2024)

Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning. - Junjie Shan; Ziqi Zhao; Jialin Lu; Rui Zhang; Siu Ming Yiu; Ka-Ho Chow (CoRR, 2024)

A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning. - Jialin Lu; Jing Yang 017; Shaobo Li 001; Yijun Li; Wu Jiang; Jiangtian Dai; Jianjun Hu (IEEE Internet Things J., 2024)

EC-TRL: Evolutionary-Weighted Clustering and Transformer-Augmented Reinforcement Learning for Dynamic Resource Scheduling in Edge Cloud Environments. - Xu Zhou; Jing Yang 017; Yijun Li; Shaobo Li 001; Zhidong Su; Jialin Lu (IEEE Internet Things J., 2025)

HA-A2C: Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing. - Jing Yang 017; Jialin Lu; Xu Zhou; Shaobo Li 001; Chuanyue Xiong; Jianjun Hu (IEEE Trans. Green Commun. Netw., 2025)

Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure. - Ziling Wang; Shuya Yang; Jialin Lu; Ka-Ho Chow (CoRR, 2025)