Mouth motion learning and generating from observation. - Pengyu Hong; Thomas S. Huang; Xueyin Lin (MMSP, 1998)

Natural Mouse; A Novel Human Computer Interface. - Pengyu Hong; Thomas S. Huang (ICIP (1), 1999)

A new scheme for extracting multi-temporal sequence patterns. - Pengyu Hong; Sylvian R. Ray; Thomas S. Huang (IJCNN, 1999)

Learning Patterns from Images by Combining Soft Decisions and Hard Decisions. - Pengyu Hong; Thomas S. Huang; Roy Wang (CVPR, 2000)

Gesture Modeling and Recognition Using Finite State Machines. - Pengyu Hong; Thomas S. Huang; Matthew Turk 001 (FG, 2000)

Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback. - Pengyu Hong; Qi Tian 001; Thomas S. Huang (ICIP, 2000)

Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines. - Qi Tian 001; Pengyu Hong; Thomas S. Huang (IEEE International Conference on Multimedia and Expo (II), 2000)

Learning to Extract Temporal Signal Patterns from Temporal Signal Sequence. - Pengyu Hong; Thomas S. Huang (ICPR, 2000)

Constructing Finite State Machines for Fast Gesture Recognition. - Pengyu Hong; Thomas S. Huang; Matthew Turk 001 (ICPR, 2000)

Memory-Based Moving Object Extraction for Video Indexing. - Roy Wang; Pengyu Hong; Thomas S. Huang (ICPR, 2000)

Real Time Speech Driven Facial Animation Using Formant Analysis. - Zhen Wen; Pengyu Hong; Thomas S. Huang (ICME, 2001)

An integrated framework for face modeling, facial motion analysis and synthesis. - Pengyu Hong; Zhen Wen; Thomas S. Huang (ACM Multimedia, 2001)

Spatial pattern discovering by learning the isomorphic subgraph from multiple attributed relation graphs. - Pengyu Hong; Thomas S. Huang (IWCIA, 2001)

iFACE: A 3D Synthetic Talking Face. - Pengyu Hong; Zhen Wen; Thomas S. Huang (Int. J. Image Graph., 2001)

An Integrated Framework for Face Modeling, Facial Motion Analysis and Synthesis - Pengyu Hong (2001)

Real-Time Speech-Driven 3D Face Animation. - Pengyu Hong; Zhen Wen; Thomas S. Huang; Heung-Yeung Shum (3DPVT, 2002)

Automatic temporal pattern extraction and association. - Pengyu Hong; Thomas S. Huang (ICASSP, 2002)

Exemplar-based face and facial motion tracking. - Thomas S. Huang; Pengyu Hong (ICASSP, 2002)

Multimodal Temporal Pattern Mining. - Pengyu Hong; Thomas S. Huang (ICPR (3), 2002)

Real-time speech-driven face animation with expressions using neural networks. - Pengyu Hong; Zhen Wen; Thomas S. Huang (IEEE Trans. Neural Networks, 2002)

Optimization in Multimodal Interpretation. - Joyce Y. Chai; Pengyu Hong; Michelle X. Zhou; Zahar Prasov (ACL, 2004)

Towards Ubiquitous Bio-Information Computing: Data Protocols, Middleware, and Web Services for Heterogeneous Biological Information Integration and Retrieval. - Pengyu Hong; Sheng Zhong 003; Wing Hung Wong (BIBE, 2004)

A probabilistic approach to reference resolution in multimodal user interfaces. - Joyce Y. Chai; Pengyu Hong; Michelle X. Zhou (IUI, 2004)

Performance Evaluation and Error Analysis for Multimodal Reference Resolution in a Conversation System. - Joyce Y. Chai; Zahar Prasov; Pengyu Hong (HLT-NAACL (Short Papers), 2004)

Spatial pattern discovery by learning a probabilistic parametric model from multiple attributed relational graphs. - Pengyu Hong; Thomas S. Huang (Discret. Appl. Math., 2004)

Learning 3D Face Animation Model. - Zhen Wen; Pengyu Hong; Jilin Tu; Thomas S. Huang (Encyclopedia of Information Science and Technology (III), 2005)

A boosting approach for motif modeling using ChIP-chip data. - Pengyu Hong; Xiaole Shirley Liu; Qing Zhou; Xin Lu; Jun S. Liu; Wing Hung Wong (Bioinform., 2005)

GeneNotes - A novel information management software for biologists. - Pengyu Hong; Wing Hung Wong (BMC Bioinform., 2005)

Ubic2 - Towards Ubiquitous Bio-Information Computing: Data Protocols, Middleware, and Web Services for Heterogeneous Biological Information Integration and Retrieval. - Pengyu Hong; Sheng Zhong 003; Wing Hung Wong (Int. J. Softw. Eng. Knowl. Eng., 2005)

Intelligent Interfaces for Mining Large-Scale RNAi-HCS Image Databases. - Chen Lin; Wayne Mak; Pengyu Hong; Katharine J. Sepp; Norbert Perrimon (BIBE, 2007)

Computational modeling of Caenorhabditis elegans vulval induction. - Xiaoyun Sun; Pengyu Hong (ISMB/ECCB (Supplement of Bioinformatics), 2007)

Improving Automatic Inference of the Biological Network Governing C. elegans Vulval Induction by Incorporating Interaction Data. - Xiaoyun Sun; Pengyu Hong (BIOCOMP, 2008)

Automatic inference of multicellular regulatory networks using informative priors. - Xiaoyun Sun; Pengyu Hong (Int. J. Comput. Biol. Drug Des., 2009)

Novel Morphological Phenotypes Discovery in High-Content Screens Using Underused Features. - Chen Lin; Pengyu Hong; Chris Bakal; Norbert Perrimon (BICoB, 2010)

Automatic Robust Neurite Detection and Morphological Analysis of Neuronal Cell Cultures in High-content Screening. - Chaohong Wu; Joost Schulte; Katharine J. Sepp; J. Troy Littleton; Pengyu Hong (Neuroinformatics, 2010)

Towards an Annotation Schema for Cancer Trajectory State Detection. - Jeremy L. Warner; Peter Anick; Kenneth Roach; Nianwen Xue; Robin M. Joyce; Charles Safran; Pengyu Hong (AMIA, 2012)

Significance analysis by minimizing false discovery rate. - Yuanzhe Bei; Pengyu Hong (BIBM, 2012)

An advanced method for identifying protein-protein interaction by analyzing TAP/MS data. - Xiaoyun Sun; Pengyu Hong; Meghana Kulkarni; Young Kwon; Norbert Perrimon (BIBM, 2012)

Psychiatric insights into liver cirrhosis and their correlations with traditional Chinese medicine diagnostics. - Yuanzhe Bei; Pengyu Hong; Fangyuan Ke; Yang Zhou; Lieming Xu; Meiping Zhu (BIBM, 2013)

A novel approach to minimize false discovery rate in genome-wide data analysis. - Yuanzhe Bei; Pengyu Hong (BMC Syst. Biol., 2013)

Temporal relation discovery between events and temporal expressions identified in clinical narrative. - Yao Cheng; Peter Anick; Pengyu Hong; Nianwen Xue (J. Biomed. Informatics, 2013)

Maximizing margin quality and quantity. - Yuanzhe Bei; Pengyu Hong (MLSP, 2015)

Robust differential expression analysis by learning discriminant boundary in multi-dimensional space of statistical attributes. - Yuanzhe Bei; Pengyu Hong (BMC Bioinform., 2016)

Recognition of the Temperature Condition of a Rotary Kiln Using Dynamic Features of a Series of Blurry Flame Images. - Hua Chen 008; Xiaogang Zhang; Pengyu Hong; Hongping Hu; Xiang Yin (IEEE Trans. Ind. Informatics, 2016)

Neural Knowledge Tracing. - Long Sha; Pengyu Hong (BFAL, 2017)

Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks. - Zhihao Zheng; Pengyu Hong (NeurIPS, 2018)

Robust Query Execution Time Prediction for Concurrent Workloads on Massive Parallel Processing Databases. - Zhihao Zheng; Yuanzhe Bei; Hongyan Sun; Pengyu Hong (IEA/AIE, 2019)

NagE: Non-Abelian Group Embedding for Knowledge Graphs. - Tong Yang; Long Sha; Pengyu Hong (CIKM, 2020)

Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. - Xin Xing; Long Sha; Pengyu Hong; Zuofeng Shang; Jun S. Liu (ICLR, 2020)

A Group-Theoretic Framework for Knowledge Graph Embedding. - Tong Yang; Long Sha; Pengyu Hong (CoRR, 2020)

A Deep Learning Approach for COVID-19 Trend Prediction. - Tong Yang; Long Sha; Justin Li; Pengyu Hong (CoRR, 2020)

Variance Regularization for Accelerating Stochastic Optimization. - Tong Yang; Long Sha; Pengyu Hong (CoRR, 2020)

IMMIGRATE: A Margin-Based Feature Selection Method with Interaction Terms. - Ruzhang Zhao; Pengyu Hong; Jun S. Liu (Entropy, 2020)

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections. - Peizhao Li; Yifei Wang 002; Han Zhao 002; Pengyu Hong; Hongfu Liu 001 (ICLR, 2021)

Predicting the Stereoselectivity of Chemical Transformations by Machine Learning. - Justin Li; Dakang Zhang; Yifei Wang 002; Christopher Ye 002; Hao Xu; Pengyu Hong (CoRR, 2021)

Network-based virus-host interaction prediction with application to SARS-CoV-2. - Hangyu Du; Feng Chen; Hongfu Liu 001; Pengyu Hong (Patterns, 2021)

Knowledgebra: An Algebraic Learning Framework for Knowledge Graph. - Tong Yang; Yifei Wang 002; Long Sha; Jan Engelbrecht; Pengyu Hong (Mach. Learn. Knowl. Extr., 2022)

Characterizing the Influence of Graph Elements. - Zizhang Chen; Peizhao Li; Hongfu Liu 001; Pengyu Hong (ICLR, 2023)

Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation. - Yifei Wang 002; Zhengyang Zhou; Liqin Wang; John Laurentiev; Peter Hou; Li Zhou 007; Pengyu Hong (CoRR, 2023)

Asymmetric Contrastive Multimodal Learning for Advancing Chemical Understanding. - Hao Xu; Yifei Wang 002; Yunrui Li; Pengyu Hong (CoRR, 2023)

Molecular Identification and Peak Assignment: Leveraging Multi-Level Multimodal Alignment on NMR. - Hao Xu; Zhengyang Zhou; Pengyu Hong (CoRR, 2023)

GlycoNMR: Dataset and benchmarks for NMR chemical shift prediction of carbohydrates with graph neural networks. - Zizhang Chen; Ryan Paul Badman; Lachele Foley; Robert Woods; Pengyu Hong (CoRR, 2023)

Motif-Based Graph Representation Learning with Application to Chemical Molecules. - Yifei Wang 002; Shiyang Chen 004; Guobin Chen; Ethan Shurberg; Hang Liu 001; Pengyu Hong (Informatics, 2023)

Graph Multi-Similarity Learning for Molecular Property Prediction. - Hao Xu; Zhengyang Zhou; Pengyu Hong (CoRR, 2024)

Solvent-Aware 2D NMR Prediction: Leveraging Multi-Tasking Training and Iterative Self-Training Strategies. - Yunrui Li; Hao Xu; Pengyu Hong (CoRR, 2024)

Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics. - Phu N. Tran; Sattvic Ray; Linnea Lemma; Yunrui Li; Reef Sweeney; Aparna Baskaran; Zvonimir Dogic; Pengyu Hong; Michael F. Hagan (CoRR, 2024)

Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks. - Zizhang Chen; Pengyu Hong; Sandeep Madireddy (CoRR, 2024)

Multimodal Fusion with Relational Learning for Molecular Property Prediction. - Zhengyang Zhou; Hao Xu; Pengyu Hong (CoRR, 2024)

Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack. - Nicole Meng; Caleb Manicke; David Chen; Yingjie Lao; Caiwen Ding; Pengyu Hong; Kaleel Mahmood (CoRR, 2024)

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. - 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; et al. (CoRR, 2024)

Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases. - Yifei Wang 002; Liqin Wang; Zhengyang Zhou; John Laurentiev; Joshua R. Lakin; Li Zhou 007; Pengyu Hong (J. Biomed. Informatics, 2024)

Graph-Graph Similarity Network. - Han Yue; Pengyu Hong; Hongfu Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models. - Zizhang Chen; Peizhao Li; Xiaomeng Dong; Pengyu Hong (NAACL (Findings), 2025)

Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning. - Yifei Wang 002; Yunrui Li; Lin Liu; Pengyu Hong; Hao Xu (J. Chem. Inf. Model., 2025)

ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations. - Xinyi Ni; Qiuyang Wang; Yukun Zhang; Pengyu Hong (CoRR, 2025)

Multiple Abstraction Level Retrieve Augment Generation. - Zheng Zheng; Xinyi Ni; Pengyu Hong (CoRR, 2025)

2DNMRGym: An Annotated Experimental Dataset for Atom-Level Molecular Representation Learning in 2D NMR via Surrogate Supervision. - Yunrui Li; Hao Xu; Pengyu Hong (CoRR, 2025)

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation. - Xinyi Ni; Haonan Jian; Qiuyang Wang; Vedanshi Chetan Shah; Pengyu Hong (CoRR, 2025)

Cross-Modality Controlled Molecule Generation with Diffusion Language Model. - Yunzhe Zhang; Yifei Wang; Khanh Vinh Nguyen; Pengyu Hong (CoRR, 2025)