SCAN: Socio-Cultural Attitudinal Networks

Publications

  1. V.S. Subrahmanian, J. Burgoon and N. Dunbar. (eds) Detecting Trust and Deception in Group Interaction, Springer, 2020 – in press.
  2. Judee K. Burgoon, Prelude: Relational Communication and the link to Deception. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  3. Judee K. Burgoon, Norah E. Dunbar, Matthew L. Jensen, An integrated Spiral Model of Trust. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  4. Matt Giles, Mohemmad Hansia, Miriam Metzger, Norah E. Dunbar, The Impact of Culture in Deception and Deception Detection. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  5. Bradley Dorn, Jay F. Nunamaker, Norah E. Dunbar, Judee K. Burgoon, Lee Spizley, Stven J. Pentland, Matt Giles, Brad Walls, Xunyu Chen, Xinran (Rebecca) Wang, Saiying (Tina) Ge, V.S. Subrahmanian, A System for Multi-Person, Multi-Modal Data Collection in Behavioral Information Systems In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  6. Norah E. Dunbar, Bradley Dorn, Mohemmad Hansia, Becky Ford, Matt Giles, Miriam Metzger, Judee K. Burgoon, Jay F. Nunamaker, V.S. Subrahmanian, Dominance in Groups: How Dyadic Power Theory Can Apply to Group Discussions. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  7. Lee Spitzley, Steve Pentland, Jay F. Nunamaker, Xunyu Chen, Xinran (Rebecca) Wang, Behavioral Indicators of Dominance in an Adversarial Group Negotiation Game. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  8. Lezi Wang, Chongyang Bai, Maksim Bolonkin, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian, Dimitri Metaxas, Attention-based Facial Behavior Analytics in Social Communication. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  9. Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam Metzger, Jay F. Nunamaker, V.S. Subrahmanian, Iterative Collective Classification for Visual Focus of Attention Prediction. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  10. Joel Helquist, Karl Wiers, Judee K. Burgoon, Effects of Modality Interactivity and Deception Communication Quality and Task Performance. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  11. Lee Spitzley, Incremental Information Disclosure in Qualitative Financial Reporting: Differences between Fraudulent and Non-Fraudulent Companies. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  12. Judee K. Burgoon, Dimitri Metaxas, Jay F. Nunamaker, Saiying (Tina) Ge, Cultural Influence on Deceptive Communication. In V. S. Subramanian, J. K. Burgoon & N. E. Dunbar (Eds.), Detecting Trust and Deception in Group Interaction. New York, NY: Springer, 2020.
  13. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. H. Wang, F. Zhang, M. Zhang, J. Leskovec, M. Zhao, W. Li, Z. Wang. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
  14. Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. S. Kumar, X. Zhang, J. Leskovec. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
  15. G2SAT: Learning to Generate SAT Formulas. J. You, H. Wu, C. Barrett, R. Ramanujan, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2019.
  16. Hyperbolic Graph Convolutional Neural Networks. I. Chami, R. Ying, C. Re, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2019.
  17. GNNExplainer: Generating Explanations for Graph Neural Networks. R. Ying, D. Bourgeois, J. You, M. Zitnik, J. Leskovec. Neural Information Processing Systems (NeurIPS), 2019.
  18. Strategies For Pre-training Graph Neural Networks. W. Hu, B. Liu, J. Gomes, M. Zitnik, P. Liang, V. Pande, J. Leskovec. International Conference on Learning Representations (ICLR), 2020.
  19. Selection Via Proxy: Efficient Data Selection For Deep Learning. C. Coleman, C. Yeh, S. Mussmann, B. Mirzasoleiman, P. Bailis, P. Liang, J. Leskovec, M. Zaharia. International Conference on Learning Representations (ICLR), 2020.
  20. Query2box: Reasoning Over Knowledge Graphs In Vector Space Using Box Embeddings. H. Ren, W. Hu, J. Leskovec. International Conference on Learning Representations (ICLR), 2020.
  21. Burgoon, J. K. (2019). Separating the wheat from the chaff: Guidance from new technologies for detecting deception in the courtroom. Frontiers in Psychology, 9:774.
  22. Denault, V., et al. (2020). The analysis of nonverbal communication: The dangers of pseudoscience in security and justice contexts. Anuario de Psicología Jurídica, 30, 1-12.
  23. Twyman, N. W., Pentland, S. J., Spitzley, L. A. (in press). Design principles for signal detection in modern job application systems: Identifying fabricated qualifications. Journal of Management Information Systems
  24. Burgoon, J. K., Blair, J. P., Hamel, L. & Twyman, N. W. (2020). Factors that facilitate or impair kinesic and vocalic nonverbal behaviors during interpersonal deception. In A. Kostić (Ed.), Social Intelligence: The Adaptive Advantages of Nonverbal Communication. Switzerland: Palgrave.
  25. Ebesu Hubbard, A. S. & Burgoon, J. K. (2019). Nonverbal communication. In M. Salwen & D. W. Stacks (Eds.), An integrated approach to communication theory and research, 3e (pp. 333-346). Mahwah, NJ: LEA.
  26. Nunamaker, J. F., Jr., Burgoon, J. K. & Giboney, J. S. (in press). On systems designed to detect deception, fraud and malicious intent and insider threat. Journal of Management Information Systems.
  27. Stathopoulos, A., Han, L., Dunbar, N., Burgoon, J. K., Metaxas, D. N. (2020). “Deception Detection using Facial Cues”. In Future Technologies Conference (FTC).
  28. Daniels, Z. A., Frank. L. D., Menart, C. J., Raymer, M., Hitzler, P.. "A framework for explainable deep neural models using external knowledge graphs." In Proc. SPIE 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, 114131C (21 April 2020).
  29. Zhao, L., Peng, X., Chen, Y., Kapadia, M., Metaxas, D.N. (2020). “Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge”. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
  30. Wang, L., Wu, Z., Karanam S., Peng, K. C., Singh, R. V., Liu, B., Metaxas, D. N. (2019). “Sharpen focus: Learning with attention separability and consistency.” In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).
  31. Han, L., Stathopoulos, A., Xue, T., Metaxas, D. N. (2020). “Unbiased Auxiliary Classifier GANs with MINE”. In IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW).
  32. Han, L., Gao, R., Kim, M., Tao, X., Liu, B., Metaxas, D. N. (2020). “Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons”. 34th AAAI Conference on Artificial Intelligence (AAAI).
  33. Wang, L., Bai C., Bolonkin, M., Burgoon J. K., Dunbar N. E., Subrahmanian, V. S., Metaxas, D. N. (2019). “Attention-based Facial Behavior Analytics in Social Communication”. In British Machine Vision Conference (BMVC).
  34. Han, L., Zou, Y., Gao, R., Wang, L., Metaxas, D. N. (2019). “Unsupervised Domain Adaptation via Calibrating Uncertainties”. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW)
  35. Chongyang Bai, Maksim Bolonkin, Judee Burgoon, Chao Chen, Norah Dunbar, Bharat Singh, V. S. Subrahmanian, Zhe Wu, Automatic Long-Term Deception Detection in Group Interaction Videos, ICME'19 The 2019 IEEE Conference on Multimedia Expo
  36. Chongyang Bai, Maksim Bolonkin, Srijan Kumar, Jure Leskovec, Judee Burgoon, Norah Dunbar, V.S. Subrahmanian, Predicting Dominance in Multi-person Videos, IJCAI'19 The 28th International Joint Conference on Artificial Intelligence.
  37. Chongyang Bai, Srijan Kumar, Jure Leskovec, Miriam Metzger, Jay Nunamaker, V.S. Subrahmanian, Predicting the Visual Focus of Attention in Multi-person Discussion Videos, IJCAI'19 The 28th International Joint Conference on Artificial Intelligence.
  38. Chongyang Bai, Maksim Bolonkin, Judee Burgoon, Dongkai Chen, Norah Dunbar, Viney Regunath, V.S. Subrahmanian , Predicting Relative Nervousness from Group Interaction Videos, submitted to ACM Multimedia 2020
  39. Chongyang Bai, Haipeng Chen, Srijan Kumar, Jure Leskovec, V.S. Subrahmanian , M2P2: Multimodal Persuasion Prediction using Adaptive Fusion, submitted to ACM Multimedia 2020
  40. C. Kang, S. Kraus, C. Molinaro, F. Spezzano, and V.S. Subrahmanian. Diffusion Centrality in Social Networks, Artificial Intelligence, Vol. 239, pages 70-96, July 2016.
  41. V.S. Subrahmanian and S. Kumar. Predicting Human Behavior: The Next Frontiers, Science, Vol. 355 (6324), p. 489. This is a one page invited essay.
  42. C. Kang, S. Kraus, C. Molinaro, F. Spezzano, and V.S. Subrahmanian. Diffusion Centrality in Social Networks, Artificial Intelligence, Vol. 239, pages 70-96, July 2016.
  43. Z. Wu, B. Singh, L. Davis and V.S. Subrahmanian. Deception Detection in Videos, Proc. AAAI 2018, Feb 2018, acceptance rate: 24.55%.
  44. S. Kumar, B. Hooi, M. Kumar, D. Makhija, C. Faloutsos, and V.S. Subrahmanian. Rev2: Fraudulent User Prediction in Rating Platforms, Proc. 11th ACM Conf. on Web Search & Data Mining (WSDM), Los Angeles, Feb 2018. Acceptance rate: 16.15%.
  45. T. Chakraborty, D. Chandhok, and V.S. Subrahmanian. MC3: A Multi-Class Consensus Classification Framework,: Proc. 2017 Pacific-Asia Knowledge Discovery & Data Mining Conference (PAKDD-2017), Jeju, South Korea, Springer, May 2017. Regular presentation paper. Acceptance rate: 28.2%
  46. S. Kumar, J. Cheng, J. Leskovec, and V.S. Subrahmanian. An Army of Me: Sockpuppets in Online Discussion Communities, Proc. 26th International Conference on the World Wide Web (WWW 2017), Perth, Australia, April 2017. Received Best Paper Honorable Mention (will be public only at the end of WWW 2017). Acceptance rate: 17%.
  47. S. Kumar, F. Spezzano, V.S. Subrahmanian and C. Faloutsos. Edge Weight Prediction in Weighted Signed Networks, Proc. 2016 IEEE International Conference on Data Mining (ICDM 2016), Barcelona, Spain, Dec 2016. Acceptance rate for regular papers: 8.5%.
  48. T. Chakraborty, N. Park, and V.S. Subrahmanian. Ensemble-Based Algorithms to Detect Disjoint and Overlapping Communities in Networks, Proc. 2016 IEEE/ACM Conf. on Advances in Social Network Analysis and Mining, San Francisco, Aug 2016. Acceptance rate: 13.61%. Runner up for best paper award.
  49. S. Kumar, E. Serra, F. Spezzano, and V.S. Subrahmanian. Metric Logic Program Explanations for Complex Separator Functions, Proc. 2016 Intl. Conf. on Scalable Uncertainty Management, Nice, Sep 2016.
  50. E. Serra, F. Spezzano, and V.S. Subrahmanian. ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks, Proc. 2016 Intl. Conf. on Scalable Uncertainty Management, Nice, Sep 2016.
  51. H. Yin, A. Benson, J. Leskovec. Higher-Order Clustering in Networks. Physical Review E 97 052306 (PRE), 2018.
  52. Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky. Community Interaction and Conflict on the Web. The Web Conference (WWW), 2018.
  53. Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V.S. Subrahmanian. Rev2: Fraudulent User Prediction in Rating Platforms. Web Search and Data Mining Conference (WSDM), 2018.
  54. J. You, R. Ying, X. Ren, W. L. Hamilton, J. Leskovec. GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. International Conference on Machine Learning (ICML), 2018.
  55. T. Althoff, R. Sosic, J. L. Hicks, A. C. King, S. L. Delp, J. Leskovec. Large-scale physical activity data reveal worldwide activity inequality. Nature, 547.7663, 2017.
  56. C. Donnat, M. Zitnik, D. Hallac, J. Leskovec. Learning Structural Node Embeddings via Diffusion Wavelets. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
  57. J. Cheng, J. Kleinberg, J. Leskovec, D. Liben-Nowell, B. State, K. Subbian, L. Adamic. Do Diffusion Protocols Govern Cascade Growth? AAAI International Conference on Weblogs and Social Media (ICWSM), 2018.
  58. T. Kurashima, T. Althoff, J. Leskovec. Modeling Interdependent and Periodic Real-World Action Sequences. ACM International Conference on World Wide Web (WWW), 2018.
  59. Z. Lin, T. Althoff, J. Leskovec. I’ll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. ACM International Conference on World Wide Web (WWW), 2018.
  60. W. Hamilton, J. Zhang, C. Danescu-Niculescu-Mizil, D. Jurafsky, J. Leskovec. Loyalty in Online Communities. AAAI International Conference on Weblogs and Social Media (ICWSM), 2017.
  61. J. Zhang, W. Hamilton, C. Danescu-Niculescu-Mizil, D. Jurafsky, J. Leskovec. Community Identity and User Engagement in a Multi-Community Landscape. AAAI International Conference on Weblogs and Social Media (ICWSM), 2017.
  62. J. Cheng, M. Bernstein, C. Danescu-Niculescu-Mizil, J. Leskovec. Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. Computer-Supported Cooperative Work and Social Computing (CSCW), 2017. Best paper award.
  63. D. Hallac, S. Vare, S. Boyd, J. Leskovec. Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017. Best paper runner-up.
  64. Srijan Kumar, Justin Cheng, Jure Leskovec, V.S. Subrahmanian. An Army of Me: Sockpuppets in Online Discussion Communities. 26th International World Wide Web Conference (WWW), 2017. Best paper award honorable mention. /li>
  65. Y. Tian, X. Peng, L. Zhao, S. Zhang, D. Metaxas CR-GAN: Learning Complete Representations for Multi-view Generation, IJCAI 2018. https://arxiv.org/abs/1806.11191
  66. L. Zhao, X. Peng , Y. Tian, M. Kappadia, D. Metaxas Learning to Forecast and Refine Residual Motion for Image-to-Video Generation, ECCV 2018. https://arxiv.org/abs/1807.09951
  67. L. Wang, X. Yu, T. Bourlai, D. Metaxas. A coupled encoder–decoder network for joint face detection and landmark localization, Image and Vision Computing (2018), https://doi.org/10.1016/j.imavis.2018.09.008
  68. B Liu, XT Yuan, L Wang, Q Liu, D. Metaxas. Dual iterative hard thresholding: From non-convex sparse minimization to non-smooth concave maximization, ICML 2017.
  69. X Peng, Z Tang, F Yang, RS Feris, D Metaxas. Jointly optimize data augmentation and network training: Adversarial data augmentation in human pose estimation. IEEE CVPR 2018
  70. X Peng, S Zhang, Y Yu, DN Metaxas. Toward personalized modeling: Incremental and ensemble alignment for sequential faces in the wild. International Journal of Computer Vision 126 (2-4), 184-197, 2018
  71. X Peng, RS Feris, X Wang, DN Metaxas. RED-Net: A Recurrent Encoder–Decoder Network for Video-Based Face Alignment. International Journal of Computer Vision 126 (10), 1103—1119, 2018
  72. Dunbar, N. E., Metaxas, D., Buck, R. W., Burgoon, J. K., Kumar, S., Subrahmanian, V. S., Fujiwara, K. (2018, November). Culture, biology and nonverbal behavior: Can new technologies detect elusive relationships? Competitive panel presented to the National Communication Association annual meeting, Salt Lake City, UT.
  73. Ford, B. R., Dunbar, N. E., Dorn, B., Giles, M., Metzger, M., Burgoon, J. K., Subrahmanian, V. S. (2018, November). Deception in Groups: How dyadic theories can predict deception and its detection in group contexts. Paper presented to the National Communication Association annual meeting, Salt Lake City, UT.
  74. Schuller, B., Steidl, Batliner, A., Hirschberg, J., Burgoon, J. K., Coutinho, A. (2016) The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception & Sincerity.
  75. Elkins, A., Proudfoot, J., Twyman, N., Burgoon, J. K., Nunamaker, J. F. (2016). Embodied Conversational Agent-based Deception Detection. INTELLISYS 2016, London.
  76. Burgoon, J. K. (2018). Opinion: Microexpressions are not the best way to catch a liar.  Frontiers in Psychology, 9, https://doi.org/10.3389/fpsyg.2018.01672
  77. Burgoon, J. K. (in press). Separating the wheat from the chaff: Detecting Deception in the Midst of Courtroom. (in press) Frontiers in Psychology.
  78. Burgoon, J. K., Dunbar, N. E. & Giles, H. (2017). Interaction coordination and adaptation. In A. Vinciarelli, M. Pantic, N Magnenat-Thalmann, & J. K. Burgoon (Eds.), Social signal processing (pp. 78-96). Cambridge, UK: Cambridge University Press.
  79. Burgoon, J. K., Metaxas, D., Bourlai, T. & Elkins, A. (2017). Social signals of deception and dishonesty. In A. Vinciarelli, M. Pantic, N Magnenat-Thalmann, & J. K. Burgoon (Eds.), Social signal processing (pp. 404-428). Cambridge, UK: Cambridge University Press.
  80. Burgoon, J. K., Dunbar, N. E. & Elkins, A. (2017). Analyzing video and audio nonverbal dynamics: Kinesics, proxemics, haptics and vocalics. In A. VanLear and D. J. Canary (Eds.), Sourcebook: Researching Communication Interaction Behavior. Thousand Oaks, CA: SAGE.  
  81. Burgoon, J. K. & Dunbar, N. E. (2018). Coding nonverbal behavior. In E. Brauner, M. Boos & M. Kolbe (Eds.) (2018). The Cambridge Handbook of Group Interaction (pp. 104-120). Cambridge, UK: Cambridge University Press.
  82. Pentland, S. J., Twyman, N. W., Burgoon, J. K., Nunamaker, J. F., and Diller, C. B. R. (2017). A Video-Based Screening System for Automated Risk Assessment Using Nuanced Facial Features, Journal of Management Information Systems (34:4), Routledge, pp. 970–993. https://doi.org/10.1080/07421222.2017.1393304
  83. Twyman, N. W., Pentland, S. J., and Spitzley L. (2018). Deception Detection in Online Automated Job Interviews. International Conference on HCI in Business, Government, and Organizations. Las Vegas, NV.
  84. Spitzley, L. A., Pentland, S. J. Dorn, B.D., Walls, B., Burgoon, J. K. (2018). Using multimodal data to infer group dynamics in an adversarial group game. 13th Annual Symposium on Information Assurance (ASIA ’18). June 5-6, 2018. Albany, NY
  85. Spitzley, L. A. (2018). Manager-analyst interactions in fraudulent earnings calls. 13th Annual Symposium on Information Assurance (ASIA ’18). June 5-6, 2018. Albany, NY