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2020 – today
- 2024
[j18]Yifei Wang
, Liqin Wang, Zhengyang Zhou, John Laurentiev, Joshua R. Lakin, Li Zhou, Pengyu Hong:
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. J. Biomed. Informatics 156: 104677 (2024)- [j17]Han Yue, Pengyu Hong, Hongfu Liu:
Graph-Graph Similarity Network. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9136-9146 (2024) - [i20]Hao Xu, Zhengyang Zhou, Pengyu Hong:
Graph Multi-Similarity Learning for Molecular Property Prediction. CoRR abs/2401.17615 (2024) - [i19]Yunrui Li, Hao Xu, Pengyu Hong:
Solvent-Aware 2D NMR Prediction: Leveraging Multi-Tasking Training and Iterative Self-Training Strategies. CoRR abs/2403.11353 (2024) - [i18]Phu N. Tran, Sattvic Ray, Linnea Lemma, Yunrui Li, Reef Sweeney, Aparna Baskaran, Zvonimir Dogic, Pengyu Hong, Michael F. Hagan:
Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics. CoRR abs/2404.15497 (2024) - [i17]Zizhang Chen, Pengyu Hong, Sandeep Madireddy:
Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks. CoRR abs/2408.03732 (2024) - [i16]Zhengyang Zhou, Hao Xu, Pengyu Hong:
Multimodal Fusion with Relational Learning for Molecular Property Prediction. CoRR abs/2410.12128 (2024) - [i15]Zizhang Chen, Peizhao Li, Xiaomeng Dong, Pengyu Hong:
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models. CoRR abs/2411.03497 (2024) - [i14]Nicole Meng, Caleb Manicke, David Chen, Yingjie Lao, Caiwen Ding, Pengyu Hong, Kaleel Mahmood:
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack. CoRR abs/2411.12071 (2024) - [i13]Yoel Zimmermann, Adib Bazgir, Zartashia Afzal, Fariha Agbere, Qianxiang Ai, Nawaf Alampara, Alexander Al-Feghali, Mehrad Ansari, Dmytro Antypov, Amro Aswad, Jiaru Bai, Viktoriia Baibakova, Devi Dutta Biswajeet, Erik Bitzek, Joshua D. Bocarsly, Anna S. Borisova, Andres M. Bran, L. Catherine Brinson, Marcel Moran Calderon, Alessandro Canalicchio, Victor Chen, Yuan Chiang, Defne Circi, Benjamin Charmes, Vikrant Chaudhary, Zizhang Chen, Min-Hsueh Chiu, Judith Clymo, Kedar Dabhadkar, Nathan Daelman, Archit Datar, Matthew L. Evans, Maryam Ghazizade Fard, Giuseppe Fisicaro, Abhijeet Sadashiv Gangan, Janine George, Jose D. Cojal Gonzalez, Michael Götte, Ankur K. Gupta, Hassan Harb, Pengyu Hong, Abdelrahman Ibrahim, Ahmed Ilyas, Alishba Imran, Kevin Ishimwe, Ramsey Issa, Kevin Maik Jablonka, Colin Jones, Tyler R. Josephson, Greg Juhasz, Sarthak Kapoor, Rongda Kang, Ghazal Khalighinejad, Sartaaj Khan, Sascha Klawohn, Suneel Kuman, Alvin Noe Ladines, Sarom Leang, Magdalena Lederbauer, Sheng-Lun Mark Liao, Hao Liu, Xuefeng Liu, Stanley Lo, Sandeep Madireddy, Piyush Ranjan Maharana, Shagun Maheshwari, Soroush Mahjoubi, José A. Márquez, Rob Mills, Trupti Mohanty, Bernadette Mohr, Seyed Mohamad Moosavi, Alexander Moßhammer, Amirhossein D. Naghdi, Aakash Naik, Oleksandr Narykov, Hampus Näsström, Xuan Vu Nguyen, Xinyi Ni, Dana O'Connor, Teslim Olayiwola, Federico Ottomano, Aleyna Beste Ozhan, Sebastian Pagel, Chiku Parida, Jaehee Park, Vraj Patel, Elena Patyukova, Martin Hoffmann Petersen, Luis Pinto, José M. Pizarro, Dieter Plessers, Tapashree Pradhan, Utkarsh Pratiush, Charishma Puli, Andrew Qin, Mahyar Rajabi, Francesco Ricci, Elliot Risch, Martiño Ríos-García:
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. CoRR abs/2411.15221 (2024) - 2023
- [j16]Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong:
Motif-Based Graph Representation Learning with Application to Chemical Molecules. Informatics 10(1): 8 (2023) - [c37]Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong:
Characterizing the Influence of Graph Elements. ICLR 2023 - [i12]Yifei Wang, Zhengyang Zhou, Liqin Wang, John Laurentiev, Peter Hou, Li Zhou, Pengyu Hong:
Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation. CoRR abs/2305.18160 (2023) - [i11]Hao Xu, Yifei Wang, Yunrui Li, Pengyu Hong:
Asymmetric Contrastive Multimodal Learning for Advancing Chemical Understanding. CoRR abs/2311.06456 (2023) - [i10]Hao Xu, Zhengyang Zhou, Pengyu Hong:
Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR. CoRR abs/2311.13817 (2023) - [i9]Zizhang Chen, Ryan Paul Badman, Lachele Foley, Robert Woods, Pengyu Hong:
GlycoNMR: Dataset and benchmarks for NMR chemical shift prediction of carbohydrates with graph neural networks. CoRR abs/2311.17134 (2023) - 2022
- [j15]Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong:
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. Mach. Learn. Knowl. Extr. 4(2): 432-445 (2022) - [i8]Tong Yang, Yifei Wang, Long Sha, Jan Engelbrecht, Pengyu Hong:
Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. CoRR abs/2204.07328 (2022) - [i7]Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong:
Motif-based Graph Representation Learning with Application to Chemical Molecules. CoRR abs/2208.04529 (2022) - [i6]Zizhang Chen, Peizhao Li, Hongfu Liu, Pengyu Hong:
Characterizing the Influence of Graph Elements. CoRR abs/2210.07441 (2022) - 2021
- [j14]Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong:
Network-based virus-host interaction prediction with application to SARS-CoV-2. Patterns 2(5): 100242 (2021) - [c36]Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu:
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. ICLR 2021 - [i5]Justin Li, Dakang Zhang, Yifei Wang, Christopher Ye, Hao Xu, Pengyu Hong:
Predicting the Stereoselectivity of Chemical Transformations by Machine Learning. CoRR abs/2110.05671 (2021) - 2020
- [j13]Ruzhang Zhao, Pengyu Hong, Jun S. Liu:
IMMIGRATE: A Margin-Based Feature Selection Method with Interaction Terms. Entropy 22(3): 291 (2020) - [c35]Tong Yang, Long Sha, Pengyu Hong:
NagE: Non-Abelian Group Embedding for Knowledge Graphs. CIKM 2020: 1735-1742 - [c34]Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu:
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. ICLR 2020 - [i4]Tong Yang, Long Sha, Pengyu Hong:
A Group-Theoretic Framework for Knowledge Graph Embedding. CoRR abs/2005.10956 (2020) - [i3]Tong Yang, Long Sha, Justin Li, Pengyu Hong:
A Deep Learning Approach for COVID-19 Trend Prediction. CoRR abs/2008.05644 (2020) - [i2]Tong Yang, Long Sha, Pengyu Hong:
Variance Regularization for Accelerating Stochastic Optimization. CoRR abs/2008.05969 (2020)
2010 – 2019
- 2019
- [c33]Zhihao Zheng, Yuanzhe Bei, Hongyan Sun, Pengyu Hong:
Robust Query Execution Time Prediction for Concurrent Workloads on Massive Parallel Processing Databases. IEA/AIE 2019: 63-70 - 2018
- [c32]Zhihao Zheng, Pengyu Hong:
Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks. NeurIPS 2018: 7924-7933 - [i1]Ruzhang Zhao, Pengyu Hong, Jun S. Liu:
IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms. CoRR abs/1810.02658 (2018) - 2017
- [c31]Long Sha, Pengyu Hong:
Neural Knowledge Tracing. BFAL 2017: 108-117 - 2016
- [j12]Yuanzhe Bei, Pengyu Hong:
Robust differential expression analysis by learning discriminant boundary in multi-dimensional space of statistical attributes. BMC Bioinform. 17: 541:1-541:19 (2016) - [j11]Hua Chen, Xiaogang Zhang, Pengyu Hong, Hongping Hu, Xiang Yin:
Recognition of the Temperature Condition of a Rotary Kiln Using Dynamic Features of a Series of Blurry Flame Images. IEEE Trans. Ind. Informatics 12(1): 148-157 (2016) - 2015
- [c30]Yuanzhe Bei, Pengyu Hong:
Maximizing margin quality and quantity. MLSP 2015: 1-6 - 2013
- [j10]Yuanzhe Bei, Pengyu Hong:
A novel approach to minimize false discovery rate in genome-wide data analysis. BMC Syst. Biol. 7(S-4): S1 (2013) - [j9]Yao Cheng, Peter Anick, Pengyu Hong, Nianwen Xue:
Temporal relation discovery between events and temporal expressions identified in clinical narrative. J. Biomed. Informatics 46(6): S48-S53 (2013) - [c29]Yuanzhe Bei, Pengyu Hong, Fangyuan Ke, Yang Zhou, Lieming Xu, Meiping Zhu:
Psychiatric insights into liver cirrhosis and their correlations with traditional Chinese medicine diagnostics. BIBM 2013: 279-284 - 2012
- [c28]Jeremy L. Warner, Peter Anick, Kenneth Roach, Nianwen Xue, Robin M. Joyce, Charles Safran, Pengyu Hong:
Towards an Annotation Schema for Cancer Trajectory State Detection. AMIA 2012 - [c27]Yuanzhe Bei, Pengyu Hong:
Significance analysis by minimizing false discovery rate. BIBM 2012: 1-6 - [c26]Xiaoyun Sun, Pengyu Hong, Meghana Kulkarni, Young Kwon, Norbert Perrimon:
An advanced method for identifying protein-protein interaction by analyzing TAP/MS data. BIBM 2012: 1-6 - 2010
- [j8]Chaohong Wu, Joost Schulte, Katharine J. Sepp, J. Troy Littleton, Pengyu Hong:
Automatic Robust Neurite Detection and Morphological Analysis of Neuronal Cell Cultures in High-content Screening. Neuroinformatics 8(2): 83-100 (2010) - [c25]Chen Lin, Pengyu Hong, Chris Bakal, Norbert Perrimon:
Novel Morphological Phenotypes Discovery in High-Content Screens Using Underused Features. BICoB 2010: 184-189
2000 – 2009
- 2009
- [j7]Xiaoyun Sun, Pengyu Hong:
Automatic inference of multicellular regulatory networks using informative priors. Int. J. Comput. Biol. Drug Des. 2(2): 115-133 (2009) - 2008
- [c24]Xiaoyun Sun, Pengyu Hong:
Improving Automatic Inference of the Biological Network Governing C. elegans Vulval Induction by Incorporating Interaction Data. BIOCOMP 2008: 991-997 - 2007
- [c23]Chen Lin, Wayne Mak, Pengyu Hong, Katharine J. Sepp, Norbert Perrimon:
Intelligent Interfaces for Mining Large-Scale RNAi-HCS Image Databases. BIBE 2007: 1333-1337 - [c22]Xiaoyun Sun, Pengyu Hong:
Computational modeling of Caenorhabditis elegans vulval induction. ISMB/ECCB (Supplement of Bioinformatics) 2007: 499-507 - 2005
- [j6]Pengyu Hong, Xiaole Shirley Liu, Qing Zhou, Xin Lu, Jun S. Liu, Wing Hung Wong:
A boosting approach for motif modeling using ChIP-chip data. Bioinform. 21(11): 2636-2643 (2005) - [j5]Pengyu Hong, Wing Hung Wong:
GeneNotes - A novel information management software for biologists. BMC Bioinform. 6: 20 (2005) - [j4]Pengyu Hong, Sheng Zhong, Wing Hung Wong:
Ubic2 - Towards Ubiquitous Bio-Information Computing: Data Protocols, Middleware, and Web Services for Heterogeneous Biological Information Integration and Retrieval. Int. J. Softw. Eng. Knowl. Eng. 15(3): 475-486 (2005) - [r1]Zhen Wen, Pengyu Hong, Jilin Tu, Thomas S. Huang:
Learning 3D Face Animation Model. Encyclopedia of Information Science and Technology (III) 2005: 1807-1814 - 2004
- [j3]Pengyu Hong, Thomas S. Huang:
Spatial pattern discovery by learning a probabilistic parametric model from multiple attributed relational graphs. Discret. Appl. Math. 139(1-3): 113-135 (2004) - [c21]Joyce Y. Chai, Pengyu Hong, Michelle X. Zhou, Zahar Prasov:
Optimization in Multimodal Interpretation. ACL 2004: 1-8 - [c20]Pengyu Hong, Sheng Zhong, Wing Hung Wong:
Towards Ubiquitous Bio-Information Computing: Data Protocols, Middleware, and Web Services for Heterogeneous Biological Information Integration and Retrieval. BIBE 2004: 57-64 - [c19]Joyce Y. Chai, Pengyu Hong, Michelle X. Zhou:
A probabilistic approach to reference resolution in multimodal user interfaces. IUI 2004: 70-77 - [c18]Joyce Y. Chai, Zahar Prasov, Pengyu Hong:
Performance Evaluation and Error Analysis for Multimodal Reference Resolution in a Conversation System. HLT-NAACL (Short Papers) 2004 - 2002
- [j2]Pengyu Hong, Zhen Wen, Thomas S. Huang:
Real-time speech-driven face animation with expressions using neural networks. IEEE Trans. Neural Networks 13(4): 916-927 (2002) - [c17]Pengyu Hong, Zhen Wen, Thomas S. Huang, Heung-Yeung Shum:
Real-Time Speech-Driven 3D Face Animation. 3DPVT 2002: 713-716 - [c16]Pengyu Hong, Thomas S. Huang:
Automatic temporal pattern extraction and association. ICASSP 2002: 2005-2008 - [c15]Thomas S. Huang, Pengyu Hong:
Exemplar-based face and facial motion tracking. ICASSP 2002: 3600-3603 - [c14]Pengyu Hong, Thomas S. Huang:
Multimodal Temporal Pattern Mining. ICPR (3) 2002: 465-472 - 2001
- [b1]Pengyu Hong:
An Integrated Framework for Face Modeling, Facial Motion Analysis and Synthesis. University of Illinois Urbana-Champaign, USA, 2001 - [j1]Pengyu Hong, Zhen Wen, Thomas S. Huang:
iFACE: A 3D Synthetic Talking Face. Int. J. Image Graph. 1(1): 19-26 (2001) - [c13]Zhen Wen, Pengyu Hong, Thomas S. Huang:
Real Time Speech Driven Facial Animation Using Formant Analysis. ICME 2001 - [c12]Pengyu Hong, Zhen Wen, Thomas S. Huang:
An integrated framework for face modeling, facial motion analysis and synthesis. ACM Multimedia 2001: 495-498 - [c11]Pengyu Hong, Thomas S. Huang:
Spatial pattern discovering by learning the isomorphic subgraph from multiple attributed relation graphs. IWCIA 2001: 113-132 - 2000
- [c10]Pengyu Hong, Thomas S. Huang, Roy Wang:
Learning Patterns from Images by Combining Soft Decisions and Hard Decisions. CVPR 2000: 1078- - [c9]Pengyu Hong, Thomas S. Huang, Matthew A. Turk:
Gesture Modeling and Recognition Using Finite State Machines. FG 2000: 410-415 - [c8]Pengyu Hong, Qi Tian, Thomas S. Huang:
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback. ICIP 2000: 750-753 - [c7]Qi Tian, Pengyu Hong, Thomas S. Huang:
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines. IEEE International Conference on Multimedia and Expo (II) 2000: 1199-1202 - [c6]Roy Wang, Pengyu Hong, Thomas S. Huang:
Memory-Based Moving Object Extraction for Video Indexing. ICPR 2000: 1811-1814 - [c5]Pengyu Hong, Thomas S. Huang:
Learning to Extract Temporal Signal Patterns from Temporal Signal Sequence. ICPR 2000: 2648-2651 - [c4]Pengyu Hong, Thomas S. Huang, Matthew A. Turk:
Constructing Finite State Machines for Fast Gesture Recognition. ICPR 2000: 3695-3698
1990 – 1999
- 1999
- [c3]Pengyu Hong, Thomas S. Huang:
Natural Mouse; A Novel Human Computer Interface. ICIP (1) 1999: 653-656 - [c2]Pengyu Hong, Sylvian R. Ray, Thomas S. Huang:
A new scheme for extracting multi-temporal sequence patterns. IJCNN 1999: 2643-2648 - 1998
- [c1]Pengyu Hong, Thomas S. Huang, Xueyin Lin:
Mouth motion learning and generating from observation. MMSP 1998: 415-420
Coauthor Index
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