Pengcheng Yang
Computer Science · Purdue University West Lafayette
Publications
37
Citations
532
Est. group size
~6
Recurring co-author estimate
Active years
10
Publishing since 2017
This researcher's publication record spans natural language processing topics such as text generation, sentiment control, named entity recognition, and multi-label text classification, alongside more recent and varied work in image processing, remote sensing object detection, and applied machine learning for tasks like rice processing prediction and surgical video analysis. The mix of topics and venues suggests a body of work that has shifted across subfields of computer science over time rather than maintaining a single sustained research focus.
Publication output has fluctuated over the last decade, peaking around 2018-2019, dipping in the early 2020s, and showing a modest resurgence in 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Fringe property-guided deep learning method for interferogram segmentation
Optics Letters · 2025
- Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network
Communications in computer and information science · 2024
- Object Detection in Optical Remote Sensing Images Based on Improved Lightweight Neural Network
2022 7th International Conference on Image, Vision and Computing (ICIVC) · 2022
- Context-Interactive Pre-Training for Document Machine Translation
2021
- Surgical skills assessment from robot assisted surgery video data
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) · 2021
- Feature-level interpolation-based GAN for image super-resolution
Personal and Ubiquitous Computing · 2021
- Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions
2021
- A Knowledge-Enhanced Neural Sequence Labelling Model for Named Entity Recognition on Noisy User-Generated Contents
2020
- Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions
arXiv (Cornell University) · 2020
- Automatic Generation of Personalized Comment Based on User Profile
arXiv (Cornell University) · 2019
- Visual Agreement Regularized Training for Multi-Modal Machine Translation
arXiv (Cornell University) · 2019
- Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information
2019
- Automatic Generation of Personalized Comment Based on User Profile
2019
- Towards Comprehensive Description Generation from Factual Attribute-value Tables
2019
- A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
arXiv (Cornell University) · 2019
- arXiv (Cornell University)×8
- bioRxiv (Cold Spring Harbor Laboratory)×6
- BMC Genomics×1
- The Plant Journal×1
- Personal and Ubiquitous Computing×1
- Kai Zhang
Computer Science · The Ohio State University
- Julia Taylor Rayz
Computer Science · Purdue University West Lafayette
- He Zhou
Computer Science · Indiana University
- Huan Sun
Computer Science · The Ohio State University
- Mo Yu
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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