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Jun Pang 0001
Person information

- affiliation: University of Luxembourg, Esch-sur-Alzette, Luxembourg
Other persons with the same name
- Jun Pang 0002
— Wuhan University of Science and Technology, College of Computer Science and Technology, China (and 1 more)
- Jun Pang 0003 — University of Chinese Medicine, First Affiliated Hospital, Nanning, China
- Jun Pang 0004 — Tianjin University, Academy of Medical Engineering and Translational Medicine, China
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2020 – today
- 2023
- [j66]Zhiqiang Zhong
, Cheng-Te Li, Jun Pang:
Hierarchical message-passing graph neural networks. Data Min. Knowl. Discov. 37(1): 381-408 (2023) - [i41]Hailong Hu, Jun Pang:
Membership Inference of Diffusion Models. CoRR abs/2301.09956 (2023) - 2022
- [j65]Zhiqiang Zhong
, Cheng-Te Li, Jun Pang:
Personalised meta-path generation for heterogeneous graph neural networks. Data Min. Knowl. Discov. 36(6): 2299-2333 (2022) - [j64]Ninghan Chen, Xihui Chen
, Zhiqiang Zhong
, Jun Pang
:
Exploring Spillover Effects for COVID-19 Cascade Prediction. Entropy 24(2): 222 (2022) - [j63]Xian Mo
, Jun Pang, Zhiming Liu:
THS-GWNN: a deep learning framework for temporal network link prediction. Frontiers Comput. Sci. 16(2): 162304 (2022) - [j62]Ganglin Hu, Jun Pang, Xian Mo:
Effective attributed network embedding with information behavior extraction. PeerJ Comput. Sci. 8: e1030 (2022) - [j61]Chenyi Zhang
, Jun Pang
:
Modal characterisation of simulation relations in probabilistic concurrent games. Sci. Comput. Program. 215: 102762 (2022) - [j60]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): 7:1-7:29 (2022) - [c133]Olivier Zeyen, Jun Pang:
Target Control of Boolean Networks with Permanent Edgetic Perturbations. CDC 2022: 4236-4243 - [c132]Guiyin Li, Fengyi Zhu, Jun Pang, Tian Zhang, Minxue Pan, Xuandong Li:
Functional Scenario Classification for Android Applications using GNNs. Internetware 2022: 1-9 - [c131]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: 196-210 - [i40]Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang:
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination. CoRR abs/2203.10866 (2022) - [i39]Zhiqiang Zhong, Sergey Ivanov, Jun Pang:
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation. CoRR abs/2205.09389 (2022) - [i38]Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang:
"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media. CoRR abs/2206.13456 (2022) - [i37]Ninghan Chen, Xihui Chen, Jun Pang:
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter. CoRR abs/2206.14619 (2022) - 2021
- [j59]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): 5 (2021) - [j58]Cui Su
, Jun Pang:
CABEAN: a software for the control of asynchronous Boolean networks. Bioinform. 37(6): 879-881 (2021) - [j57]Xian Mo
, Jun Pang, Zhiming Liu:
Effective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding. Comput. J. 64(3): 325-336 (2021) - [j56]Huimin Dong, Jun Pang, Yì N. Wáng:
Preface of the special issue'Logic, argumentation and AI' in JLC. J. Log. Comput. 31(8): 1901-1902 (2021) - [j55]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): 5881-5910 (2021) - [j54]Cui Su
, Jun Pang
, Soumya Paul
:
Towards Optimal Decomposition of Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2167-2176 (2021) - [c130]Hailong Hu
, Jun Pang:
Stealing Machine Learning Models: Attacks and Countermeasures for Generative Adversarial Networks. ACSAC 2021: 1-16 - [c129]Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang:
From #jobsearch to #mask: improving COVID-19 cascade prediction with spillover effects. ASONAM 2021: 455-462 - [c128]Hailong Hu
, Jun Pang:
Membership Inference Attacks against GANs by Leveraging Over-representation Regions. CCS 2021: 2387-2389 - [c127]Sevdenur Baloglu
, Sergiu Bursuc
, Sjouke Mauw, Jun Pang:
Election Verifiability Revisited: Automated Security Proofs and Attacks on Helios and Belenios. CSF 2021: 1-15 - [c126]Qian Li, Zhichao Wang, Gang Li
, Jun Pang, Guandong Xu:
Hilbert Sinkhorn Divergence for Optimal Transport. CVPR 2021: 3835-3844 - [c125]Sevdenur Baloglu
, Sergiu Bursuc
, Sjouke Mauw
, Jun Pang
:
Provably Improving Election Verifiability in Belenios. E-VOTE-ID 2021: 1-16 - [c124]Cui Su, Jun Pang
:
Cabean 2.0: Efficient and Efficacious Control of Asynchronous Boolean Networks. FM 2021: 581-598 - [c123]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: 108-120 - [i36]Cui Su, Jun Pang:
Target Control of Asynchronous Boolean Networks. CoRR abs/2101.00644 (2021) - [i35]Hailong Hu
, Jun Pang:
Model Extraction and Defenses on Generative Adversarial Networks. CoRR abs/2101.02069 (2021) - [i34]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 abs/2104.04331 (2021) - [i33]Sevdenur Baloglu, Sergiu Bursuc, Sjouke Mauw, Jun Pang:
Provably Improving Election Verifiability in Belenios. IACR Cryptol. ePrint Arch. 2021: 1201 (2021) - 2020
- [j53]Tao Xie, Zhi Jin, Xuandong Li, Gang Huang, Hausi A. Müller, Jun Pang, Li-Jun Zhang:
Preface. J. Comput. Sci. Technol. 35(6): 1231-1233 (2020) - [j52]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: 102375 (2020) - [j51]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): 1932-1945 (2020) - [c122]Cui Su, Jun Pang:
A Dynamics-based Approach for the Target Control of Boolean Networks. BCB 2020: 50:1-50:8 - [c121]Cui Su, Jun Pang:
Sequential Temporary and Permanent Control of Boolean Networks. CMSB 2020: 234-251 - [c120]Yue Cheng, Lingyun Qiu, Jun Pang:
Effects of Avatar Cuteness on Users' Perceptions of System Errors in Anthropomorphic Interfaces. HCI (24) 2020: 322-330 - [c119]Yongjian Li, Taifeng Cao, David N. Jansen
, Jun Pang, Xiaotao Wei:
Accelerated Verification of Parametric Protocols with Decision Trees. ICCD 2020: 397-404 - [c118]Chenyi Zhang
, Jun Pang:
Characterising Probabilistic Alternating Simulation for Concurrent Games. TASE 2020: 121-128 - [c117]Xian Mo
, Jun Pang, Zhiming Liu:
Higher-Order Graph Convolutional Embedding for Temporal Networks. WISE (1) 2020: 3-15 - [c116]Zhiqiang Zhong, Yang Zhang, Jun Pang:
NeuLP: An End-to-End Deep-Learning Model for Link Prediction. WISE (1) 2020: 96-108 - [e7]Grégoire Danoy, Jun Pang, Geoff Sutcliffe:
6th Global Conference on Artificial Intelligence, GCAI 2020, Hangzhou, China, April 6-9, 2020. EPiC Series in Computing 72, EasyChair 2020 [contents] - [e6]Jun Pang
, Lijun Zhang
:
Dependable Software Engineering. Theories, Tools, and Applications - 6th International Symposium, SETTA 2020, Guangzhou, China, November 24-27, 2020, Proceedings. Lecture Notes in Computer Science 12153, Springer 2020, ISBN 978-3-030-62821-5 [contents] - [i32]Cui Su, Jun Pang:
Sequential Control of Boolean Networks with Temporary and Permanent Perturbations. CoRR abs/2004.07184 (2020) - [i31]Cui Su, Jun Pang:
A Dynamics-based Approach for the Target Control of Boolean Networks. CoRR abs/2006.02304 (2020) - [i30]Ninghan Chen, Zhiqiang Zhong, Jun Pang:
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. CoRR abs/2008.05900 (2020) - [i29]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Hierarchical Message-Passing Graph Neural Networks. CoRR abs/2009.03717 (2020) - [i28]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Adaptive Multi-grained Graph Neural Networks. CoRR abs/2010.00238 (2020) - [i27]Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network. CoRR abs/2010.13735 (2020) - [i26]Diego Kozlowski, Jennifer Dusdal, Jun Pang, Andreas Zilian:
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation. CoRR abs/2011.02887 (2020) - [i25]Ninghan Chen, Zhiqiang Zhong, Jun Pang:
From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects. CoRR abs/2012.07088 (2020) - [i24]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: 982 (2020)
2010 – 2019
- 2019
- [j50]Alexis Baudin, Soumya Paul, Cui Su, Jun Pang:
Controlling large Boolean networks with single-step perturbations. Bioinform. 35(14): i558-i567 (2019) - [j49]Andrzej Mizera, Jun Pang
, Qixia Yuan:
GPU-accelerated steady-state computation of large probabilistic Boolean networks. Formal Aspects Comput. 31(1): 27-46 (2019) - [j48]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): 539-569 (2019) - [j47]Qixia Yuan, Andrzej Mizera, Jun Pang, Hongyang Qu:
A new decomposition-based method for detecting attractors in synchronous Boolean networks. Sci. Comput. Program. 180: 18-35 (2019) - [j46]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): 31-42 (2019) - [j45]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): 1610-1619 (2019) - [c115]Hugues Mandon, Cui Su, Stefan Haar, Jun Pang, Loïc Paulevé:
Sequential Reprogramming of Boolean Networks Made Practical. CMSB 2019: 3-19 - [c114]Cui Su, Soumya Paul, Jun Pang:
Scalable Control of Asynchronous Boolean Networks. CMSB 2019: 364-367 - [c113]Cui Su, Soumya Paul, Jun Pang:
Controlling Large Boolean Networks with Temporary and Permanent Perturbations. FM 2019: 707-724 - [c112]Yongjian Li, Jialun Cao, Jun Pang:
A Learning-Based Framework for Automatic Parameterized Verification. ICCD 2019: 450-459 - [c111]Zhiqiang Zhong, Yang Zhang, Jun Pang:
A Graph-Based Approach to Explore Relationship Between Hashtags and Images. WISE 2019: 473-488 - [e5]Jun Pang, Jing Sun:
24th International Conference on Engineering of Complex Computer Systems, ICECCS 2019, Guangzhou, China, November 10-13, 2019. IEEE 2019, ISBN 978-1-7281-4646-1 [contents] - [i23]Guisen Wu, Liyun Dai, Zhiming Liu, Taolue Chen, Jun Pang, Hongyang Qu:
Online Observability of Boolean Control Networks. CoRR abs/1903.07462 (2019) - [i22]Chenyi Zhang, Jun Pang:
Characterising Probabilistic Alternating Simulation for Concurrent Games. CoRR abs/1907.03928 (2019) - 2018
- [j44]Jingyi Wang, Jun Sun, Qixia Yuan, Jun Pang:
Learning probabilistic models for model checking: an evolutionary approach and an empirical study. Int. J. Softw. Tools Technol. Transf. 20(6): 689-704 (2018) - [j43]Andrzej Mizera
, Jun Pang
, Cui Su
, Qixia Yuan
:
ASSA-PBN: A Toolbox for Probabilistic Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1203-1216 (2018) - [j42]Andrzej Mizera
, Jun Pang
, Qixia Yuan
:
Reviving the Two-State Markov Chain Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1525-1537 (2018) - [j41]Yongjian Li
, Kaiqiang Duan, David N. Jansen
, Jun Pang, Lijun Zhang, Yi Lv, Shaowei Cai
:
An Automatic Proving Approach to Parameterized Verification. ACM Trans. Comput. Log. 19(4): 27:1-27:25 (2018) - [c110]Soumya Paul, Cui Su, Jun Pang, Andrzej Mizera:
A Decomposition-based Approach towards the Control of Boolean Networks. BCB 2018: 11-20 - [c109]Andrzej Mizera, Jun Pang, Hongyang Qu, Qixia Yuan:
ASSA-PBN 3.0: Analysing Context-Sensitive Probabilistic Boolean Networks. CMSB 2018: 277-284 - [c108]Soumya Paul, Jun Pang, Cui Su:
On the Full Control of Boolean Networks. CMSB 2018: 313-317 - [c107]Jialun Cao, Yongjian Li, Jun Pang:
L-CMP: an automatic learning-based parameterized verification tool. ASE 2018: 892-895 - [c106]Soumya Paul, Jun Pang, Cui Su:
Towards the Existential Control of Boolean Networks: A Preliminary Report. SETTA 2018: 142-149 - [c105]Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes:
Tagvisor: A Privacy Advisor for Sharing Hashtags. WWW 2018: 287-296 - [e4]Jun Pang, Chenyi Zhang, Jifeng He, Jian Weng:
2018 International Symposium on Theoretical Aspects of Software Engineering, TASE 2018, Guangzhou, China, August 29-31, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-7305-8 [contents] - [i21]Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes:
Tagvisor: A Privacy Advisor for Sharing Hashtags. CoRR abs/1802.04122 (2018) - [i20]Soumya Paul, Cui Su, Jun Pang, Andrzej Mizera:
A Decomposition-based Approach towards the Control of Boolean Networks (Technical Report). CoRR abs/1804.07221 (2018) - [i19]Soumya Paul, Jun Pang, Cui Su:
Towards the Existential Control of Boolean Networks: A Preliminary Report (Extended Abstract). CoRR abs/1806.10927 (2018) - [i18]Naipeng Dong
, Hugo Jonker, Jun Pang:
Formal Analysis of an E-Health Protocol. CoRR abs/1808.08403 (2018) - 2017
- [j40]Naipeng Dong
, Hugo L. Jonker
, Jun Pang:
Formal modelling and analysis of receipt-free auction protocols in applied pi. Comput. Secur. 65: 405-432 (2017) - [j39]Yuan Li, Yuhai Zhao, Guoren Wang, Xiaofeng Zhu, Xiang Zhang, Zhanghui Wang, Jun Pang:
Finding susceptible and protective interaction patterns in large-scale genetic association study. Frontiers Comput. Sci. 11(3): 541-554 (2017) - [c104]Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang:
walk2friends: Inferring Social Links from Mobility Profiles. CCS 2017: 1943-1957 - [c103]Yan Wang, Zongxu Qin, Jun Pang, Yang Zhang, Jin Xin:
Semantic Annotation for Places in LBSN through Graph Embedding. CIKM 2017: 2343-2346 - [c102]Jingyi Wang, Jun Sun
, Qixia Yuan, Jun Pang:
Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study. FASE 2017: 3-21 - [c101]Jun Pang, Yang Zhang:
Quantifying Location Sociality. HT 2017: 145-154 - [c100]Li Li, Naipeng Dong
, Jun Pang, Jun Sun
, Guangdong Bai, Yang Liu, Jin Song Dong:
A Verification Framework for Stateful Security Protocols. ICFEM 2017: 262-280 - [c99]Jun Pang, Yang Zhang:
DeepCity: A Feature Learning Framework for Mining Location Check-Ins. ICWSM 2017: 652-655 - [c98]Andrzej Mizera, Jun Pang, Hongyang Qu, Qixia Yuan:
A New Decomposition Method for Attractor Detection in Large Synchronous Boolean Networks. SETTA 2017: 232-249 - [c97]Yang Zhang, Minyue Ni, Weili Han, Jun Pang:
Does #like4like indeed provoke more likes? WI 2017: 179-186 - [i17]Andrzej Mizera, Jun Pang, Hongyang Qu, Qixia Yuan:
Taming Asynchrony for Attractor Detection in Large Boolean Networks (Technical Report). CoRR abs/1704.06530 (2017) - [i16]Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang:
walk2friends: Inferring Social Links from Mobility Profiles. CoRR abs/1708.08221 (2017) - 2016
- [j38]Qixia Yuan, Hongyang Qu, Jun Pang, Andrzej Mizera:
Improving BDD-based attractor detection for synchronous Boolean networks. Sci. China Inf. Sci. 59(8): 080101:1-080101:16 (2016) - [j37]Stephan Merz, Jun Pang, Jin Song Dong:
Editorial. Formal Aspects Comput. 28(3): 343-344 (2016) - [j36]Stephan Merz, Jun Pang, Jin Song Dong:
Editorial. Formal Aspects Comput. 28(5): 723-724 (2016) - [j35]Jun Pang, Lingyun Qiu:
Effect of Online Review Chunking on Product Attitude: The Moderating Role of Motivation to Think. Int. J. Electron. Commer. 20(3): 355-383 (2016) - [j34]Jun Pang, Mariëlle Stoelinga:
Selected and extended papers from ACM SVT 2014. Sci. Comput. Program. 123: 1 (2016) - [c96]Andrzej Mizera, Jun Pang, Qixia Yuan:
Fast Simulation of Probabilistic Boolean Networks. CMSB 2016: 216-231 - [c95]Andrzej Mizera, Jun Pang, Qixia Yuan:
ASSA-PBN 2.0: A Software Tool for Probabilistic Boolean Networks. CMSB 2016: 309-315 - [c94]Lu Zhou, Yang Zhang, Jun Pang, Cheng-Te Li:
Modeling City Locations as Complex Networks: An initial study. COMPLEX NETWORKS 2016: 735-747 - [c93]Yongjian Li, Kaiqiang Duan, Yi Lv, Jun Pang, Shaowei Cai:
A novel approach to parameterized verification of cache coherence protocols. ICCD 2016: 560-567 - [c92]Lingyun Qiu, Weiquan Wang, Jun Pang, Zhenhui Jack Jiang:
The Persuasive Impact of Emoticons in Online Word-of-Mouth Communication. PACIS 2016: 122 - [c91]Andrzej Mizera, Jun Pang, Qixia Yuan:
Parallel approximate steady-state analysis of large probabilistic Boolean networks. SAC 2016: 1-8 - [c90]Minyue Ni, Yang Zhang, Weili Han, Jun Pang:
An Empirical Study on User Access Control in Online Social Networks. SACMAT 2016: 13-23 - [c89]Andrzej Mizera, Jun Pang, Qixia Yuan:
GPU-Accelerated Steady-State Computation of Large Probabilistic Boolean Networks. SETTA 2016: 50-66 - [c88]Xiaohuan Shan, Xin Wang, Jun Pang, Liyan Jiang, Baoyan Song:
A Shortest Path Query Method Based on Tree Decomposition and Label Coverage. WAIM Workshops 2016: 239-248 - [c87]Junlu Wang
, Jun Pang, Xiaoyan Li, Baishuo Han, Lei Huang, LinLin Ding:
An Efficient Two-Table Join Query Processing Based on Extended Bloom Filter in MapReduce. WAIM Workshops 2016: 249-258 - [c86]Jun Pang, Polina Zablotskaia, Yang Zhang:
On Impact of Weather on Human Mobility in Cities. WISE (2) 2016: 247-256 - [i15]Jun Pang, Yang Zhang:
Quantifying Location Sociality. CoRR abs/1604.00175 (2016) - [i14]Andrzej Mizera, Jun Pang, Qixia Yuan:
Fast Simulation of Probabilistic Boolean Networks (Technical Report). CoRR abs/1605.00854 (2016) - [i13]Jingyi Wang, Jun Sun, Qixia Yuan, Jun Pang:
Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study. CoRR abs/1605.08278 (2016) - [i12]Jun Pang, Yang Zhang:
DeepCity: A Feature Learning Framework for Mining Location Check-ins. CoRR abs/1610.03676 (2016) - 2015
- [j33]Jun Pang, Yang Zhang:
A new access control scheme for Facebook-style social networks. Comput. Secur. 54: 44-59 (2015) - [j32]Yongjian Li, Jun Pang:
Formalizing provable anonymity in Isabelle/HOL. Formal Aspects Comput. 27(2): 255-282 (2015) - [j31]Jun Pang, Christopher Dwyer, Alvin R. Lebeck:
mNoC: Large Nanophotonic Network-on-Chip Crossbars with Molecular Scale Devices. ACM J. Emerg. Technol. Comput. Syst. 12(1): 1:1-1:25 (2015) - [c85]Jun Pang, Yang Zhang:
Event Prediction with Community Leaders. ARES 2015: 238-243 - [c84]Yang Zhang, Jun Pang:
Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networks. APWeb 2015: 55-66 - [c83]Jun Pang, Chris Dwyer, Alvin R. Lebeck:
More is Less, Less is More: Molecular-Scale Photonic NoC Power Topologies. ASPLOS 2015: 283-296 - [c82]Ran Cheng, Jun Pang, Yang Zhang:
Inferring Friendship from Check-in Data of Location-Based Social Networks. ASONAM 2015: 1284-1291 - [c81]Yongjian Li, Jun Pang, Yi Lv, Dongrui Fan, Shen Cao, Kaiqiang Duan:
ParaVerifier: An Automatic Framework for Proving Parameterized Cache Coherence Protocols. ATVA 2015: 207-213