High performance SOI CMOS pixel sensor with surrounding N+ trench electrode. - Hai-fan Hu; Ying Wang 041; Hao Lan; Xin Luo; Yun-Tao Liu (Microelectron. Reliab., 2015)

Depth super-resolution via fully edge-augmented guidance. - Jingyu Yang 002; Hao Lan; Xiaolin Song; Kun Li 001 (VCIP, 2017)

A Mobile-Based High Sensitivity On-Field Organophosphorus Compounds Detecting System for IoT-Based Food Safety Tracking. - Han Jin; Yajie Qin; Hao Liang; Lei Wan; Hao Lan; Guoping Chen; Ran Liu 001; Li-Rong Zheng 001; Patrick Chiang 001; Zhiliang Hong (J. Sensors, 2017)

A Test Path Generation Method Based on SSM Models. - Hao Lan; Yin Tong; Jin Guo; Yadong Zhang; Yao Li; Chang Rao (QRS Companion, 2018)

Thor: A Scalable Hybrid Switching Architecture for Data Centers. - Xiaoshan Yu 001; Hong Xu 001; Huaxi Gu; Hao Lan (IEEE Trans. Commun., 2018)

Automated Clash Free Rebar Design in Precast Concrete Exterior Wall via Generative Adversarial Network and Multi-agent Reinforcement Learning. - Pengkun Liu; Jiepeng Liu; Liang Feng 001; Wenbo Wu; Hao Lan (AHFE (14), 2019)

Verification of Detectability in Labeled Petri Nets. - Yin Tong; Hao Lan; Jin Guo (ACC, 2019)

Current-State Opacity Verification in Modular Discrete Event Systems. - Yin Tong; Hao Lan (CDC, 2019)

Verification of Detectability in Petri Nets Using Verifier Nets. - Hao Lan; Yin Tong; Carla Seatzu; Jin Guo (CoRR, 2019)

Verification of Detectability Using Petri Nets and Detector. - Hao Lan; Yin Tong; Jin Guo; Carla Seatzu (CoRR, 2019)

Verification of infinite-step and K-step opacity Using Petri Nets. - Hao Lan; Yin Tong; Jin Guo; Carla Seatzu (CoRR, 2019)

Comments on "A new approach for the verification of infinite-step and K-step opacity using two-way observers" [Automatica 80 (2017) 162-171]. - Hao Lan; Yin Tong; Jin Guo; Alessandro Giua (Autom., 2020)

Initial-State Estimation of Multi-Channel Networked Discrete Event Systems. - Yue Yao; Yin Tong; Hao Lan (IEEE Control. Syst. Lett., 2020)

Verification of C-detectability using Petri nets. - Hao Lan; Yin Tong; Jin Guo; Carla Seatzu (Inf. Sci., 2020)

RSS: a relay-based schedule scheme for optical data center network. - Shangqi Ma; Huaxi Gu; Hao Lan; Xiaoshan Yu 001; Kun Wang 001 (Photonic Netw. Commun., 2020)

Intelligent Visualization System for Big Multi-source Medical Data Based on Data Lake. - Peng Ren 005; Ziyun Mao; Shuaibo Li; Yang Xiao; Yating Ke; Lanyu Yao; Hao Lan; Xin Li 111; Ming Sheng; Yong Zhang 002 (WISA, 2021)

Generative Causal Explanations for Graph Neural Networks. - Wanyu Lin; Hao Lan; Baochun Li (ICML, 2021)

Accelerated Device Placement Optimization with Contrastive Learning. - Hao Lan; Li Chen 019; Baochun Li (ICPP, 2021)

EAGLE: Expedited Device Placement with Automatic Grouping for Large Models. - Hao Lan; Li Chen 019; Baochun Li (IPDPS, 2021)

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. - Wanyu Lin; Hao Lan; Hao Wang 014; Baochun Li (CVPR, 2022)

MHDML: Construction of a Medical Lakehouse for Multi-source Heterogeneous Data. - Qi Xiao; Wenkui Zheng; Chenyu Mao; Wei Hou; Hao Lan; Daojun Han; Yang Duan; Peng Ren; Ming Sheng (HIS, 2022)

Increasing-Dimension Evolution: Make the evolutionary design of passive filters more efficient. - Hao Lan; Jingsong He (Appl. Soft Comput., 2022)

Verification of K-step and infinite-step opacity of bounded labeled Petri nets. - Yin Tong; Hao Lan; Carla Seatzu (Autom., 2022)

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. - Wanyu Lin; Hao Lan; Hao Wang 022; Baochun Li (CoRR, 2022)

Application of CNN and Long Short-Term Memory Network in Water Quality Predicting. - Wenwu Tan; Jianjun Zhang; Jiang Wu; Hao Lan; Xing Liu; Ke Xiao; Li Wang; Haijun Lin; Guang Sun; Peng Guo (Intell. Autom. Soft Comput., 2022)

Crucial States Estimation in Radio Block Center Handover Using Petri Nets With Unobservable Transitions. - Hao Lan; Yin Tong; Carla Seatzu (IEEE Trans Autom. Sci. Eng., 2022)

A Fault Injection and Formal Verification Framework Based on UML Sequence Diagrams. - Hezhen Liu; Jiacheng Yin; Chengqiang Huang; Hao Lan; Zhi Jin; Zheng Zheng; Xun Zhang (ISSREW, 2023)

Be Careful with PyPI Packages: You May Unconsciously Spread Backdoor Model Weights. - Tianhang Zheng; Hao Lan; Baochun Li (MLSys, 2023)

Spatial-temporal gated graph convolutional network: a new deep learning framework for long-term traffic speed forecasting. - Dongping Zhang; Hao Lan; Zhennan Ma; Zhixiong Yang 001; Xin Wu; Xiaoling Huang (J. Intell. Fuzzy Syst., 2023)

WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking. - Weihua Li 004; Hao Lan; Junbin Chen; Ke Feng; Ruyi Huang (IEEE Trans. Instrum. Meas., 2023)

Transfer Function Interpolation and Extrapolation: A fast AC analysis method for evolutionary circuit design. - Hao Lan; Jingsong He (Inf. Sci., 2023)

An Interpretable Fault Diagnosis Framework based on Capsule Network with Statistical Features. - Hao Lan; Shuhan Deng; Ruyi Huang; Zhuyun Chen 001; Weihua Li 004 (I2MTC, 2024)

Maize tassel detection with CA-YOLO for UAV images in complex field environments. - Yinjiang Jia; Kang Fu; Hao Lan; Xiru Wang; Zhongbin Su (Comput. Electron. Agric., 2024)

Debiasing Graph Representation Learning based on Information Bottleneck. - Ziyi Zhang; Mingxuan Ouyang; Wanyu Lin; Hao Lan; Lei Yang (CoRR, 2024)

Parasocial relationships with micro-influencers: do sponsorship disclosure and electronic word-of-mouth disrupt? - Jie Sheng; Yi Hui Lee; Hao Lan (Internet Res., 2024)

Burst traffic: Congestion management and performance optimization strategies in heterogeneous cognitive radio networks. - Jie Yan; Bo Zhang 127; Shi Wang 001; Hao Lan; Xin Wang (IET Commun., 2024)

ParTEE: A Framework for Secure Parallel Computing of RISC-V Trusted Execution Environments. - Hao Lan; Ziang Zhou; Qi Zhu; Wei Yan; Qinfen Hao; Xiaochun Ye; Yong Liu; Ninghui Sun (Euro-Par (2), 2025)

Graph convolutional networks with multi-scale dynamics for traffic speed forecasting. - Dongping Zhang; Hao Lan; Mengting Wang; Jiabin Yu; Xinghao Jiang; Shifeng Zhang (Appl. Soft Comput., 2025)

A transformer-based double-order RFID indoor positioning system. - Yongrong Wu; Jingyu Lin; Houjin Chen; Hao Lan; Lvqing Yang (Expert Syst. Appl., 2025)

Graph Privacy Funnel: A Variational Approach for Privacy-Preserving Representation Learning on Graphs. - Wanyu Lin; Hao Lan; Jiannong Cao 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Graph-Relational Federated Learning: Enhanced Personalization and Robustness. - Wanyu Lin; Hao Lan; Hao He 011; Baochun Li (IEEE Trans. Dependable Secur. Comput., 2025)

Debiasing Graph Representation Learning Based on Information Bottleneck. - Ziyi Zhang; Mingxuan Ouyang; Wanyu Lin; Hao Lan; Lei Yang 024 (IEEE Trans. Neural Networks Learn. Syst., 2025)