Yichi Zhang
Computer Science · Purdue University West Lafayette
Publications
56
Citations
987
Est. group size
~3
Recurring co-author estimate
Active years
13
Publishing since 2013
This publication record appears to combine work from multiple researchers sharing the same name, spanning topics such as multi-modal AI for mathematical reasoning, neural network hardware acceleration and quantization, microstructure reconstruction using generative models, geoscience applications of image analysis, and biosensor/behavior classification studies. Because the topics are so varied (from chip design to shale reservoir geology to language models for math problems), prospective students should verify which specific projects and lab this refers to before assuming a coherent research focus. The overall pattern suggests interests in applying neural network and image-processing techniques across diverse application domains.
Publication output has grown from a steady 5-6 per year in the late 2010s and early 2020s to a notable increase in 2024 (13 publications), suggesting increasing recent activity, though this may reflect contributions from multiple distinct researchers sharing this name.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Pore characteristics and genesis analysis of shallow, deep, and ultra-deep marine shale reservoirs: insights from the Longmaxi Formation shale
Geosciences Journal · 2025
- An automated testing method for aircraft display system based on image recognition
IET conference proceedings. · 2025
- Career Resources Use and Motivation Among Asian and Asian American Students in Computer Science (Poster 42)
2025
- Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata
Integrating materials and manufacturing innovation · 2024
- MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Lecture notes in computer science · 2024
- MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
arXiv (Cornell University) · 2024
- Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs
arXiv (Cornell University) · 2024
- MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
arXiv (Cornell University) · 2024
- Timeliness-Fidelity Tradeoff in 3D Scene Representations
2024
- UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition
arXiv (Cornell University) · 2024
- Carbon Source Dosage Intelligent Determination Using a Multi-Feature Sensitive Back Propagation Neural Network Model
SSRN Electronic Journal · 2024
- Gliding over the Pareto Front with Uniform Designs
2024
- Automatic borehole fracture detection and characterization with tailored Faster R-CNN and simplified Hough transform
Engineering Applications of Artificial Intelligence · 2023
- A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity
IEEE Journal of Solid-State Circuits · 2023
- Reconstructing microstructures from statistical descriptors using neural cellular automata
arXiv (Cornell University) · 2023
- arXiv (Cornell University)×17
- Analytica Chimica Acta×1
- Engineering Applications of Artificial Intelligence×1
- SN Applied Sciences×1
- Scientific Reports×1
- Qi Guo
Computer Science · Purdue University West Lafayette
- Jonghoon Jin
Computer Science · Purdue University West Lafayette
- Senwei Liang
Computer Science · Purdue University West Lafayette
- Arghadip Das
Computer Science · Purdue University West Lafayette
- Cheng Chu
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.
Claim or correct this profile