| 2017 | |
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| "Probabilistic Rule Realization and Selection
", Haizi Yu, Tianxi Li, Lav R. Varshney, the Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, USA. Dec 4-9, 2017.
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| "Story Comprehension for Predicting What Happens Next
", Snigdha Chaturvedi, Haoruo Peng, Dan Roth, EMNLP 2017, September 9, 2017.
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| "High-Performance Video Content Recognition with Long-term Recurrent Convolutional Network for FPGA
", Xiaofan Zhang, Xinheng Liu, Anand Ramachandran, Chuanhao Zhuge, Shibin Tang, Peng Ouyang, Deming Chen, the 27th International Conference on Field-Programmable Logic and Applications, Ghent, Belgium. Sept 4 8, 2017.
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| "A Coupon-Collecter Model of Machine-Aided Discovery
", Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney, presented at KDD Workshop on Data-Driven Discovery, Halifax, Canada, August 14, 2017.
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| "Effective Object Detection from Traffic Camera Videos
", Honghui Shi, Zhichao Lui, Yuchen Fan, Xinchao Wang, Thomas Huang, the Third IEEE Smart World Congress (IEEE SWC), San Francisco, CA, Aug 4-8, 2017.
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| "Where Have I Heard this Story Before?: A Case-study on Movie Summaries
", , August 3, 2017.
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| "A Joint Model for Semantic Sequences: Frames, Entities, Sentiments
", Haoruo Peng, Snigdha Chaturvedi, Dan Roth, the Conference on Natural Language Learning (CoNLL), Vancouver, Canada, Aug 3-4, 2017.
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| "MORSE: Semantic-ally Drive-n MORpheme SEGment-er
", Tarek Sakakini, Suma Bhat, Pramod Viswanath, ACL, Vancouver, Canada, July 30-Aug 4, 2017
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| "Semantic Image Inpainting with Deep Generative Models
", Raymond Yeh, Chen Chen, Teck Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh Do, CVPR, Honolulu, Hawaii, July 21-26, 2017.
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| "Heterogeneous Computing Meets Near-Memory Acceleration and High-Level Synthesis in the Post-Moore Era
", Nam Sung Kim, Deming Chen, Jinjun Xiong, Wen-Mei Hwu, IEEE Micro Magazine, Vol 37, Number 4, July-August 2017.
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| "Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses
", Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, the 10th International Conference on Educational Data Mining, Wuhan, China, June 25-28, 2017
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| "Towards Optimal Quantization of Neural Networks
", Avishek Chatterjee, Lav R. Varshney, International Symposium on Information Theory, Aachen, Germany, June 25-30, 2017.
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| "The Eurekometic Connectome: Discovering Unexplored Areas of Neuroscience Research
", Malhar Jere, Ravi Kiran Raman, Lav R. Varshney, presented at NetSci: International School and Conference on Network Science, Indianapolis, Indiana, June 19-23, 2017.
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| "Sukiyaki in French Style: A Novel System for Transformation of Dietary Patterns
", Masahiro Kazama, Minami Sugimoto, Chizuru Hosokawa, Keisuke Matsushima, Lav R. Varshney, Yoshiki Ishikawa, arXiv: :1705.03487, May 6, 2017.
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| "Efficient GPGPU Computing with Cross-Core Resource Sharing and Core Reconfiguration
", Ashutosh Dhar, Deming Chen, IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), Napa, CA, USA. April 30 - May 2017.
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| "Towards Deep Interpretability: Learning Hierarchical Representations of Tonal Music
", Haizi Yu, Lav R. Varshney, in Proceedings of the 5th International Conference on Learning Representations (ICLR), Toulon, Apr. 24-26, 2017.
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| "Illum Information
", Ravi Kiran Raman, Haizi Yu, Lav R. Varshney, in Proceedings of the 2017 Information Theory and its Applications Workshop (ITA), San Diego, Feb. 12-17, 2017.
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| "Geometry of Compositionality
", Hongyu Gong, Proceedings of the 31st AAAI Conference, February 2017.
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| 2016 | |
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| "Multiattribute Preference Models for Computational Creativity
", Debarun Bhattacharjya, Lav R. Varshney, INFORMS Annual Meeting, Nashville, Tennessee, November 13-16, 2016.
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