Jialin Lu

20 papers A* 3A 1C 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
EC-TRL: Evolutionary-Weighted Clustering and Transformer-Augmented Reinforcement Learning for Dynamic Resource Scheduling in Edge Cloud Environments.
IEEE Internet Things J.
Xu Zhou, Jing Yang, Yijun Li, Shaobo Li, Zhidong Su, Jialin Lu
2025 J jnl
HA-A2C: Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing.
IEEE Trans. Green Commun. Netw.
Jing Yang, Jialin Lu, Xu Zhou, Shaobo Li, Chuanyue Xiong, Jianjun Hu
2025 J jnl
Lean Finder: Semantic Search for Mathlib That Understands User Intents.
CoRR
Jialin Lu, Kye Emond, Kaiyu Yang, Swarat Chaudhuri, Weiran Sun, Wuyang Chen
2025 J jnl
Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure.
CoRR
Ziling Wang, Shuya Yang, Jialin Lu, Ka-Ho Chow
2025 J jnl
TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition.
CoRR
Junyuan Zhang, Bin Wang, Qintong Zhang, Fan Wu, Zichen Wen, Jialin Lu, Junjie Shan, Ziqi Zhao, Shuya Yang, Ziling Wang, Ziyang Miao, Huaping Zhong, Yuhang Zang, Xiaoyi Dong, Ka-Ho Chow, Conghui He
2024 J jnl
A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning.
IEEE Internet Things J.
Jialin Lu, Jing Yang, Shaobo Li, Yijun Li, Wu Jiang, Jiangtian Dai, Jianjun Hu
2024 J jnl
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection.
CoRR
Jialin Lu, Junjie Shan, Ziqi Zhao, Ka-Ho Chow
2024 J jnl
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning.
CoRR
Junjie Shan, Ziqi Zhao, Jialin Lu, Rui Zhang, Siu Ming Yiu, Ka-Ho Chow
2023 J jnl
Automatic Op-Amp Generation From Specification to Layout.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jialin Lu, Liangbo Lei, Jiangli Huang, Fan Yang, Li Shang, Xuan Zeng
2023 A* conf
Graph Representation Learning for Microarchitecture Design Space Exploration.
DAC
Xiaoling Yi, Jialin Lu, Xiankui Xiong, Dong Xu, Li Shang, Fan Yang
2023 J jnl
High-Level Topology Synthesis Method for Δ-Σ Modulators via Bi-Level Bayesian Optimization.
IEEE Trans. Circuits Syst. II Express Briefs
Jialin Lu, Yijie Li, Fan Yang, Li Shang, Xuan Zeng
2022 J jnl
Subgroup Discovery in Unstructured Data.
CoRR
Ali Arab, Dev Arora, Jialin Lu, Martin Ester
2022 A conf
Topology Optimization of Operational Amplifier in Continuous Space via Graph Embedding.
DATE
Jialin Lu, Liangbo Lei, Fan Yang, Li Shang, Xuan Zeng
2021 J jnl
An Interactive Visualization Tool for Understanding Active Learning.
CoRR
Zihan Wang, Jialin Lu, Oliver Snow, Martin Ester
2021 A* conf
Automated Compensation Scheme Design for Operational Amplifier via Bayesian Optimization.
DAC
Jialin Lu, Liangbo Lei, Fan Yang, Changhao Yan, Xuan Zeng
2021 — conf
High-Confidence Sample Labelling for Unsupervised Person Re-identification.
ICCSIP
Lei Wang, Qingjie Zhao, Shihao Wang, Jialin Lu, Ying Zhao
2021 A* conf
Interpretable Drug Response Prediction using a Knowledge-based Neural Network.
KDD
Oliver Snow, Hossein Sharifi-Noghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester
2021 — conf
Multiple Granularities with Gradual Transition Network for Person Re-identification.
ICCSIP
Jialin Lu, Qingjie Zhao, Lei Wang
2020 C conf
A Mixed-Variable Bayesian Optimization Approach for Analog Circuit Synthesis.
ISCAS
Jialin Lu, Shuhan Zhang, Fan Yang, Dian Zhou, Xuan Zeng
2019 J jnl
An Active Approach for Model Interpretation.
CoRR
Jialin Lu, Martin Ester