Razvan C. Bunescu

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 54

Top Topics

Semantic Parsing

Reinforcement Learning

Top Venues

Publications

Juliana Curry, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu
PCM Enabled Low-Power Photonic Accelerator for Inference and Training on Edge Devices. IPDPS (Workshops) (2024)
Erfan Al-Hossami, Razvan C. Bunescu, Justin Smith, Ryan Teehan
Can Language Models Employ the Socratic Method? Experiments with Code Debugging. SIGCSE (1) (2024)
Oseremen O. Uduehi, Razvan C. Bunescu
An Expectation-Realization Model for Metaphor Detection. CoRR (2023)
Kyle Shiflett, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri
Flumen: Dynamic Processing in the Photonic Interconnect. ISCA (2023)
Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Brandon Beckwith, Sreenivas Subramoney
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices. CoRR (2023)
Charles Chen, Razvan C. Bunescu, Cindy Marling
A semantic parsing pipeline for context-dependent question answering over temporally structured data. Nat. Lang. Eng. 29 (3) (2023)
Garett Cunningham, Razvan C. Bunescu, David Juedes
Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs. CoRR (2023)
Mike Chen, Razvan C. Bunescu
Changing the Narrative Perspective: From Ranking to Prompt-Based Generation of Entity Mentions. Text2Story@ECIR (2022)
Jeremy Beauchamp, Razvan C. Bunescu, Cindy Marling, Zhongen Li, Chang Liu
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management. CoRR (2021)
Jiajun Li, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu
CSCNN: Algorithm-hardware Co-design for CNN Accelerators using Centrosymmetric Filters. HPCA (2021)
Jiajun Li, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu
GCNAX: A Flexible and Energy-efficient Accelerator for Graph Convolutional Neural Networks. HPCA (2021)
Mike Chen, Razvan C. Bunescu
Changing the Narrative Perspective: From Deictic to Anaphoric Point of View. CoRR (2021)
Mehdi Rezaie, Ashley J. Ross, Hee-Jong Seo, Eva-Maria Mueller, Will J. Percival, Grant Merz, Reza Katebi, Razvan C. Bunescu, Julián Bautista, Joel R. Brownstein, Etienne Burtin, Kyle Dawson, Héctor Gil-Marín, Jiamin Hou, Eleanor B. Lyke, Axel de la Macorra, Graziano Rossi, Donald P. Schneider, Pauline Zarrouk, Gong-Bo Zhao
Primordial non-Gaussianity from the Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey I: Catalogue Preparation and Systematic Mitigation. CoRR (2021)
Kyle Shiflett, Avinash Karanth, Ahmed Louri, Razvan C. Bunescu
Bitwise Neural Network Acceleration Using Silicon Photonics. ACM Great Lakes Symposium on VLSI (2021)
Mike Chen, Razvan C. Bunescu
Changing the narrative perspective: From deictic to anaphoric point of view. Inf. Process. Manag. 58 (4) (2021)
Jeremy Beauchamp, Razvan C. Bunescu, Cindy Marling, Zhongen Li, Chang Liu
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management. Sensors 21 (9) (2021)
Kyle Shiflett, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri
Albireo: Energy-Efficient Acceleration of Convolutional Neural Networks via Silicon Photonics. ISCA (2021)
Oseremen O. Uduehi, Razvan C. Bunescu
Adversarial Learning of Expectation and Surprise: Experiments with Geometric Shapes. ICCC (2021)
Yichao Li, Yating Liu, David Juedes, Frank Drews, Razvan C. Bunescu, Lonnie R. Welch
Set cover-based methods for motif selection. Bioinform. 36 (4) (2020)
Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri, Kyle Shiflett
Hardware-Level Thread Migration to Reduce On-Chip Data Movement Via Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Cindy Marling, Razvan C. Bunescu
The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020. KDH@ECAI (2020)
Patrick Gray, Razvan C. Bunescu
From Note-Level to Chord-Level Neural Network Models for Voice Separation in Symbolic Music. CoRR (2020)
Kaiyu Shen, Razvan C. Bunescu, Sarah E. Wyatt
Mining Functionally Related Genes with Semi-Supervised Learning. CoRR (2020)
Jeremy Beauchamp, Razvan C. Bunescu, Cindy Marling
A General Neural Architecture for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management. KDH@ECAI (2020)
Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri
Dynamic Voltage and Frequency Scaling in NoCs With Supervised and Reinforcement Learning Techniques. Computer 52 (9) (2019)
Ke Wang, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu
IntelliNoC: a holistic design framework for energy-efficient and reliable on-chip communication for manycores. ISCA (2019)
Ke Wang, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu
High-performance, Energy-efficient, Fault-tolerant Network-on-Chip Design Using Reinforcement Learnin. DATE (2019)
Charles Chen, Sadegh Mirshekarian, Razvan C. Bunescu, Cindy Marling
From Physician Queries to Logical Forms for Efficient Exploration of Patient Data. ICSC (2019)
Charles Chen, Razvan C. Bunescu
Context Dependent Semantic Parsing over Temporally Structured Data. NAACL-HLT (1) (2019)
Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu
Neural caption generation over figures. UbiComp/ISWC Adjunct (2019)
Alex Mayle, Zhiwei Mou, Razvan C. Bunescu, Sadegh Mirshekarian, Li Xu, Chang Liu
Diagnosing Dysarthria with Long Short-Term Memory Networks. INTERSPEECH (2019)
Xianlong Zeng, Soheil Moosavinasab, En-Ju D. Lin, Simon M. Lin, Razvan C. Bunescu, Chang Liu
Distributed representation of patients and its use for medical cost prediction. CoRR (2019)
Charles Chen, Razvan C. Bunescu
Context-Dependent Semantic Parsing over Temporally Structured Data. CoRR (2019)
Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri
Dynamic Voltage and Frequency Scaling in NoCs with Supervised and Reinforcement Learning Techniques. IEEE Trans. Computers 68 (3) (2019)
Sadegh Mirshekarian, Hui Shen, Razvan C. Bunescu, Cindy Marling
LSTMs and Neural Attention Models for Blood Glucose Prediction: Comparative Experiments on Real and Synthetic Data. EMBC (2019)
Kristen Masada, Razvan C. Bunescu
Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music. Trans. Int. Soc. Music. Inf. Retr. 2 (1) (2019)
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu
Figure Captioning with Reasoning and Sequence-Level Training. CoRR (2019)
Razvan C. Bunescu, Oseremen O. Uduehi
Learning to Surprise: A Composer-Audience Architecture. ICCC (2019)
Xin Ye, Fan Fang, John Wu, Razvan C. Bunescu, Chang Liu
Bug Report Classification Using LSTM Architecture for More Accurate Software Defect Locating. ICMLA (2018)
Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. CIKM (2018)
Cindy Marling, Razvan C. Bunescu
The OhioT1DM Dataset For Blood Glucose Level Prediction. KHD@IJCAI (2018)
Reza Katebi, Yadi Zhou, Ryan Chornock, Razvan C. Bunescu
Galaxy morphology prediction using capsule networks. CoRR (2018)
Mark Clark, Avinash Kodi, Razvan C. Bunescu, Ahmed Louri
LEAD: learning-enabled energy-aware dynamic voltage/frequency scaling in NoCs. DAC (2018)
Scott Van Winkle, Avinash Karanth Kodi, Razvan C. Bunescu, Ahmed Louri
Extending the Power-Efficiency and Performance of Photonic Interconnects for Heterogeneous Multicores with Machine Learning. HPCA (2018)
Kristen Masada, Razvan C. Bunescu
Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music. CoRR (2018)
Kristen Masada, Razvan C. Bunescu
Chord Recognition in Symbolic Music Using Semi-Markov Conditional Random Fields. ISMIR (2017)
Chinmaya R. Naguri, Razvan C. Bunescu
Recognition of Dynamic Hand Gestures from 3D Motion Data Using LSTM and CNN Architectures. ICMLA (2017)
Sadegh Mirshekarian, Razvan C. Bunescu, Cindy Marling, Frank Schwartz
Using LSTMs to learn physiological models of blood glucose behavior. EMBC (2017)
Charles Chen, Razvan C. Bunescu
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering. IJCNLP(2) (2017)
Alexander Bagnall, Razvan C. Bunescu, Gordon Stewart
Training Ensembles to Detect Adversarial Examples. CoRR (2017)
Xin Ye, Hui Shen, Xiao Ma, Razvan C. Bunescu, Chang Liu
From word embeddings to document similarities for improved information retrieval in software engineering. ICSE (2016)
Charles Chen, Razvan C. Bunescu, Li Xu, Chang Liu
Tone Classification in Mandarin Chinese Using Convolutional Neural Networks. INTERSPEECH (2016)
Xin Ye, Razvan C. Bunescu, Chang Liu
Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation. IEEE Trans. Software Eng. 42 (4) (2016)
Patrick Gray, Razvan C. Bunescu
A Neural Greedy Model for Voice Separation in Symbolic Music. ISMIR (2016)
Cindy Marling, Razvan C. Bunescu, Babak Baradar-Bokaie, Frank Schwartz
Case-Based Reasoning as a Prelude to Big Data Analysis: A Case Study. ICCBR (Workshops) (2015)
Dominic DiTomaso, Avinash Karanth Kodi, Ahmed Louri, Razvan C. Bunescu
Resilient and Power-Efficient Multi-Function Channel Buffers in Network-on-Chip Architectures. IEEE Trans. Computers 64 (12) (2015)
Kevin Plis, Razvan C. Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz
A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management. AAAI Workshop: Modern Artificial Intelligence for Health Analytics (2014)
Xin Ye, Razvan C. Bunescu, Chang Liu
Learning to rank relevant files for bug reports using domain knowledge. SIGSOFT FSE (2014)
Razvan C. Bunescu, Nigel Struble, Cindy Marling, Jay Shubrook, Frank Schwartz
Blood Glucose Level Prediction Using Physiological Models and Support Vector Regression. ICMLA (1) (2013)
Bharath Dandala, Chris Hokamp, Rada Mihalcea, Razvan C. Bunescu
Sense Clustering Using Wikipedia. RANLP (2013)
Hui Shen, Razvan C. Bunescu, Rada Mihalcea
Coarse to Fine Grained Sense Disambiguation in Wikipedia. *SEM@NAACL-HLT (2013)
Bharath Dandala, Rada Mihalcea, Razvan C. Bunescu
Multilingual Word Sense Disambiguation Using Wikipedia. IJCNLP (2013)
Razvan C. Bunescu
Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models. *SEM@NAACL-HLT (2012)
Cindy Marling, Matthew Wiley, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz
Emerging Applications for Intelligent Diabetes Management. AI Mag. 33 (2) (2012)
Razvan C. Bunescu
An Adaptive Clustering Model that Integrates Expert Rules and N-gram Statistics for Coreference Resolution. ECAI (2012)
Bharath Dandala, Rada Mihalcea, Razvan C. Bunescu
Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia. *SEM@NAACL-HLT (2012)
Hui Shen, Razvan C. Bunescu, Rada Mihalcea
Sense and Reference Disambiguation in Wikipedia. COLING (Posters) (2012)
Cindy Marling, Matthew Wiley, Tessa Cooper, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz
The 4 Diabetes Support System: A Case Study in CBR Research and Development. ICCBR (2011)
Michael Mohler, Razvan C. Bunescu, Rada Mihalcea
Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments. ACL (2011)
Matthew Wiley, Razvan C. Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz
Automatic Detection of Excessive Glycemic Variability for Diabetes Management. ICMLA (2) (2011)
Cindy Marling, Matthew Wiley, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz
Emerging Applications for Intelligent Diabetes Management. IAAI (2011)
Razvan C. Bunescu, Yunfeng Huang
Learning the Relative Usefulness of Questions in Community QA. EMNLP (2010)
Razvan C. Bunescu, Yunfeng Huang
A Utility-Driven Approach to Question Ranking in Social QA. COLING (2010)
Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou
AAAI 2008 Workshop Reports. AI Mag. 30 (1) (2009)
Razvan C. Bunescu
Learning with Probabilistic Features for Improved Pipeline Models. EMNLP (2008)
Razvan C. Bunescu, Raymond J. Mooney
Multiple instance learning for sparse positive bags. ICML (2007)
Razvan C. Bunescu, Raymond J. Mooney
Learning to Extract Relations from the Web using Minimal Supervision. ACL (2007)
Razvan C. Bunescu, Raymond J. Mooney, Arun K. Ramani, Edward M. Marcotte
Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline. BioNLP@NAACL-HLT (2006)
Razvan C. Bunescu, Marius Pasca
Using Encyclopedic Knowledge for Named entity Disambiguation. EACL (2006)
Razvan C. Bunescu, Raymond J. Mooney
Subsequence Kernels for Relation Extraction. NIPS (2005)
Arun K. Ramani, Razvan C. Bunescu, Raymond J. Mooney, Edward M. Marcotte
Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions. LBLODMBS@IDMB (2005)
Razvan C. Bunescu, Raymond J. Mooney
A Shortest Path Dependency Kernel for Relation Extraction. HLT/EMNLP (2005)
Raymond J. Mooney, Razvan C. Bunescu
Mining knowledge from text using information extraction. SIGKDD Explor. 7 (1) (2005)
Razvan C. Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun K. Ramani, Yuk Wah Wong
Comparative experiments on learning information extractors for proteins and their interactions. Artif. Intell. Medicine 33 (2) (2005)
Razvan C. Bunescu, Raymond J. Mooney
Collective Information Extraction with Relational Markov Networks. ACL (2004)
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, Wayne Niblack
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques. ICDM (2003)
Sanda M. Harabagiu, Razvan C. Bunescu, Steven J. Maiorano
Text and Knowledge Mining for Coreference Resolution. NAACL (2001)
Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Rada Mihalcea, Mihai Surdeanu, Razvan C. Bunescu, Roxana Girju, Vasile Rus, Paul Morarescu
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering. ACL (2001)
Sanda M. Harabagiu, Razvan C. Bunescu
Data-Driven Coreference Resolution. FLAIRS Conference (2001)
Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Mihai Surdeanu, Rada Mihalcea, Roxana Girju, Vasile Rus, V. Finley Lacatusu, Paul Morarescu, Razvan C. Bunescu
Answering Complex, List and Context Questions with LCC's Question-Answering Server. TREC (2001)
Sanda M. Harabagiu, Razvan C. Bunescu, Stefan Trausan-Matu
COREFDRAW-A Tool for Annotation and Visualization of Coreference Data. ICTAI (2001)
Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Rada Mihalcea, Mihai Surdeanu, Razvan C. Bunescu, Roxana Girju, Vasile Rus, Paul Morarescu
FALCON: Boosting Knowledge for Answer Engines. TREC (2000)