Jun Pang

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 159

Top Venues

CoRR

IEEE ACM Trans. Comput. Biol. Bioinform.

CMSB

Sci. Comput. Program.

Publications

George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang
Graph Neural Networks for Treatment Effect Prediction. CoRR (2024)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract). ICDE (2024)
Aoran Wang, Jun Pang
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients. ICLR (2024)
Xian Mo, Jun Pang, Zhiming Liu
Deep autoencoder architecture with outliers for temporal attributed network embedding. Expert Syst. Appl. 240 (2024)
Sevdenur Baloglu, Sergiu Bursuc, Sjouke Mauw, Jun Pang
Formal Verification and Solutions for Estonian E-Voting. AsiaCCS (2024)
Yi-Wei Cheng, Zhiqiang Zhong, Jun Pang, Cheng-Te Li
Hierarchical Bipartite Graph Convolutional Network for Recommendation. IEEE Comput. Intell. Mag. 19 (2) (2024)
Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR (2024)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic. ACM Trans. Web 18 (1) (2024)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction. Data Min. Knowl. Discov. 38 (1) (2024)
Kai Wang, Yakun Cheng, Michael Wen Tong, Zhenghao Niu, Jun Pang, Weili Han
Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering. WWW (2024)
Yongjian Li, Bohua Zhan, Jun Pang
Mechanizing the CMP Abstraction for Parameterized Verification. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Hailong Hu, Jun Pang
Membership Inference of Diffusion Models. CoRR (2023)
Sevdenur Baloglu, Sergiu Bursuc, Sjouke Mauw, Jun Pang
Election Verifiability in Receipt-Free Voting Protocols. CSF (2023)
Chunyan Mu, Jun Pang
On Observability Analysis in Multiagent Systems. ECAI (2023)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Multi-Grained Semantics-Aware Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Hierarchical message-passing graph neural networks. Data Min. Knowl. Discov. 37 (1) (2023)
Chunyan Mu, Jun Pang
On Quantified Observability Analysis in Multiagent Systems. CoRR (2023)
Ganglin Hu, Jun Pang
Relation-Aware Weighted Embedding for Heterogeneous Graphs. Inf. Technol. Control. 52 (1) (2023)
Aoran Wang, Jun Pang
Active Learning based Structural Inference. ICML (2023)
Cui Su, Jun Pang
Target Control of Asynchronous Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Hailong Hu, Jun Pang
PriSampler: Mitigating Property Inference of Diffusion Models. CoRR (2023)
Hailong Hu, Jun Pang
Ownership Protection of Generative Adversarial Networks. CoRR (2023)
Hailong Hu, Jun Pang
Loss and Likelihood Based Membership Inference of Diffusion Models. ISC (2023)
Chaoxuan Shi, Tingwei Zhu, Tian Zhang, Jun Pang, Minxue Pan
Structural-semantics Guided Program Simplification for Understanding Neural Code Intelligence Models. Internetware (2023)
Aoran Wang, Tsz Pan Tong, Jun Pang
Effective and Efficient Structural Inference with Reservoir Computing. ICML (2023)
Kai Wang, Maike Tong, Changhao Wu, Jun Pang, Chen Chen, Xiapu Luo, Weili Han
Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering. CoRR (2023)
Guisen Wu, Jun Pang
Single-Experiment Reconstructibility of Boolean Control Networks Revisited. ICINCO (2) (2023)
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
Unsupervised Network Embedding Beyond Homophily. Trans. Mach. Learn. Res. 2022 (2022)
Olivier Zeyen, Jun Pang
Target Control of Boolean Networks with Permanent Edgetic Perturbations. CDC (2022)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic. ECML/PKDD (2) (2022)
Zhiqiang Zhong, Sergei Ivanov, Jun Pang
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. Trans. Mach. Learn. Res. 2022 (2022)
Jiayi Chen, Zhixing Wang, Yuchen Jiang, Jun Pang, Tian Zhang, Minxue Pan, Jianwen Sun
NEGAR: Network Embedding Guided Architecture Recovery for Software Systems. APSEC (2022)
Kai Wang, Jun Pang, Dingjie Chen, Yu Zhao, Dapeng Huang, Chen Chen, Weili Han
A Large-scale Empirical Analysis of Ransomware Activities in Bitcoin. ACM Trans. Web 16 (2) (2022)
Ninghan Chen, Xihui Chen, Jun Pang
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter. CoRR (2022)
Ninghan Chen, Xihui Chen, Jun Pang, Liyousew G. Borga, Conchita D'Ambrosio, Claus Vögele
Measuring COVID-19 Vaccine Hesitancy: Consistency of Social Media with Surveys. SocInfo (2022)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Personalised meta-path generation for heterogeneous graph neural networks. Data Min. Knowl. Discov. 36 (6) (2022)
Chenyi Zhang, Jun Pang
Modal characterisation of simulation relations in probabilistic concurrent games. Sci. Comput. Program. 215 (2022)
Ganglin Hu, Jun Pang, Xian Mo
Effective attributed network embedding with information behavior extraction. PeerJ Comput. Sci. 8 (2022)
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination. CoRR (2022)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media. CoRR (2022)
Guiyin Li, Fengyi Zhu, Jun Pang, Tian Zhang, Minxue Pan, Xuandong Li
Functional Scenario Classification for Android Applications using GNNs. Internetware (2022)
Aoran Wang, Jun Pang
Iterative Structural Inference of Directed Graphs. NeurIPS (2022)
Xian Mo, Jun Pang, Zhiming Liu
THS-GWNN: a deep learning framework for temporal network link prediction. Frontiers Comput. Sci. 16 (2) (2022)
Zhiqiang Zhong, Sergey Ivanov, Jun Pang
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. CoRR (2022)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
Exploring Spillover Effects for COVID-19 Cascade Prediction. Entropy 24 (2) (2022)
Cui Su, Jun Pang, Soumya Paul
Towards Optimal Decomposition of Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu
Hilbert Sinkhorn Divergence for Optimal Transport. CVPR (2021)
Sevdenur Baloglu, Sergiu Bursuc, Sjouke Mauw, Jun Pang
Election Verifiability Revisited: Automated Security Proofs and Attacks on Helios and Belenios. CSF (2021)
Hailong Hu, Jun Pang
Stealing Machine Learning Models: Attacks and Countermeasures for Generative Adversarial Networks. ACSAC (2021)
Diego Kozlowski, Jennifer Dusdal, Jun Pang, Andreas Zilian
Semantic and relational spaces in science of science: deep learning models for article vectorisation. Scientometrics 126 (7) (2021)
Cui Su, Jun Pang
Cabean 2.0: Efficient and Efficacious Control of Asynchronous Boolean Networks. FM (2021)
Hailong Hu, Jun Pang
Membership Inference Attacks against GANs by Leveraging Over-representation Regions. CCS (2021)
Cui Su, Jun Pang
Target Control of Asynchronous Boolean Networks. CoRR (2021)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic. CoRR (2021)
Huimin Dong, Jun Pang, Yì N. Wáng
Preface of the special issue'Logic, argumentation and AI' in JLC. J. Log. Comput. 31 (8) (2021)
Cui Su, Jun Pang
CABEAN: a software for the control of asynchronous Boolean networks. Bioinform. 37 (6) (2021)
Sevdenur Baloglu, Sergiu Bursuc, Sjouke Mauw, Jun Pang
Provably Improving Election Verifiability in Belenios. E-VOTE-ID (2021)
Ninghan Chen, Zhiqiang Zhong, Jun Pang
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data Cogn. Comput. 5 (1) (2021)
Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang
From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects. ASONAM (2021)
Weili Han, Dingjie Chen, Jun Pang, Kai Wang, Chen Chen, Dapeng Huang, Zhijie Fan
Temporal Networks Based Industry Identification for Bitcoin Users. WASA (1) (2021)
Xian Mo, Jun Pang, Zhiming Liu
Effective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding. Comput. J. 64 (3) (2021)
Sevdenur Baloglu, Sergiu Bursuc, Sjouke Mauw, Jun Pang
Provably Improving Election Verifiability in Belenios. IACR Cryptol. ePrint Arch. 2021 (2021)
Hailong Hu, Jun Pang
Model Extraction and Defenses on Generative Adversarial Networks. CoRR (2021)
Yue Cheng, Lingyun Qiu, Jun Pang
Effects of Avatar Cuteness on Users' Perceptions of System Errors in Anthropomorphic Interfaces. HCI (24) (2020)
Diego Kozlowski, Jennifer Dusdal, Jun Pang, Andreas Zilian
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation. CoRR (2020)
Ninghan Chen, Zhiqiang Zhong, Jun Pang
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. CoRR (2020)
Sevdenur Baloglu, Sergiu Bursuc, Sjouke Mauw, Jun Pang
Election Verifiability Revisited: Automated Security Proofs and Attacks on Helios and Belenios. IACR Cryptol. ePrint Arch. 2020 (2020)
Xian Mo, Jun Pang, Zhiming Liu
Higher-Order Graph Convolutional Embedding for Temporal Networks. WISE (1) (2020)
Tao Xie, Zhi Jin, Xuandong Li, Gang Huang, Hausi A. Müller, Jun Pang, Li-Jun Zhang
Preface. J. Comput. Sci. Technol. 35 (6) (2020)
Yongjian Li, Taifeng Cao, David N. Jansen, Jun Pang, Xiaotao Wei
Accelerated Verification of Parametric Protocols with Decision Trees. ICCD (2020)
Cui Su, Jun Pang
Sequential Control of Boolean Networks with Temporary and Permanent Perturbations. CoRR (2020)
Chenyi Zhang, Jun Pang
Characterising Probabilistic Alternating Simulation for Concurrent Games. TASE (2020)
Soumya Paul, Cui Su, Jun Pang, Andrzej Mizera
An Efficient Approach Towards the Source-Target Control of Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Zhiqiang Zhong, Yang Zhang, Jun Pang
NeuLP: An End-to-End Deep-Learning Model for Link Prediction. WISE (1) (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Adaptive Multi-grained Graph Neural Networks. CoRR (2020)
Ninghan Chen, Zhiqiang Zhong, Jun Pang
From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects. CoRR (2020)
Cui Su, Jun Pang
Sequential Temporary and Permanent Control of Boolean Networks. CMSB (2020)
Chenyi Zhang, Jun Pang
Preface for the special issue of the 12th International Symposium on Theoretical Aspects of Software Engineering (TASE 2018). Sci. Comput. Program. 187 (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Hierarchical Message-Passing Graph Neural Networks. CoRR (2020)
Cui Su, Jun Pang
A Dynamics-based Approach for the Target Control of Boolean Networks. BCB (2020)
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network. CoRR (2020)
Cui Su, Jun Pang
A Dynamics-based Approach for the Target Control of Boolean Networks. CoRR (2020)
Cui Su, Soumya Paul, Jun Pang
Controlling Large Boolean Networks with Temporary and Permanent Perturbations. FM (2019)
Yongjian Li, Jialun Cao, Jun Pang
A Learning-Based Framework for Automatic Parameterized Verification. ICCD (2019)
Andrzej Mizera, Jun Pang, Hongyang Qu, Qixia Yuan
Taming Asynchrony for Attractor Detection in Large Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Alexis Baudin, Soumya Paul, Cui Su, Jun Pang
Controlling large Boolean networks with single-step perturbations. Bioinform. 35 (14) (2019)
Qixia Yuan, Andrzej Mizera, Jun Pang, Hongyang Qu
A new decomposition-based method for detecting attractors in synchronous Boolean networks. Sci. Comput. Program. 180 (2019)
Guisen Wu, Liyun Dai, Zhiming Liu, Taolue Chen, Jun Pang, Hongyang Qu
Online Observability of Boolean Control Networks. CoRR (2019)
Cui Su, Soumya Paul, Jun Pang
Scalable Control of Asynchronous Boolean Networks. CMSB (2019)
Zhiqiang Zhong, Yang Zhang, Jun Pang
A Graph-Based Approach to Explore Relationship Between Hashtags and Images. WISE (2019)
Chenyi Zhang, Jun Pang
Characterising Probabilistic Alternating Simulation for Concurrent Games. CoRR (2019)
Bo-Heng Chen, Cheng-Te Li, Kun-Ta Chuang, Jun Pang, Yang Zhang
An active learning-based approach for location-aware acquaintance inference. Knowl. Inf. Syst. 59 (3) (2019)
Hugues Mandon, Cui Su, Jun Pang, Soumya Paul, Stefan Haar, Loïc Paulevé
Algorithms for the Sequential Reprogramming of Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Andrzej Mizera, Jun Pang, Qixia Yuan
GPU-accelerated steady-state computation of large probabilistic Boolean networks. Formal Aspects Comput. 31 (1) (2019)
Hugues Mandon, Cui Su, Stefan Haar, Jun Pang, Loïc Paulevé
Sequential Reprogramming of Boolean Networks Made Practical. CMSB (2019)
Andrzej Mizera, Jun Pang, Cui Su, Qixia Yuan
ASSA-PBN: A Toolbox for Probabilistic Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (4) (2018)
Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
Tagvisor: A Privacy Advisor for Sharing Hashtags. CoRR (2018)
Jialun Cao, Yongjian Li, Jun Pang
L-CMP: an automatic learning-based parameterized verification tool. ASE (2018)
Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
Tagvisor: A Privacy Advisor for Sharing Hashtags. WWW (2018)
Soumya Paul, Jun Pang, Cui Su
Towards the Existential Control of Boolean Networks: A Preliminary Report (Extended Abstract). CoRR (2018)

Jun Pang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun Pang