Zhehao Zhang's Projects
Code for adversarial attacks for machine learning course
Propose a new algorithm to improve performance of attributed link prediction.
Scene classification using both audio and vision feature.
Course project to build a LCVSR system using kaldi
Exploring class-incremental learning with large domain shift for image classification.
Data mining project of community detection using louvain
The official data and code for EMNLP 2023 main conference paper: CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data
Using torchtext to process the data for translation
Discounting algorithm for language model
The official code for NAACL 2024 paper: $E^5$: Zero-shot Hierarchical Table Analysis using Augmented LLMs via Explain, Extract, Execute, Exhibit and Extrapolate
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implement hough transform to find circles in images. (sequence labeling, edge detector)
Deal with imbalanced MNIST data using paddlepaddle.
Using multiple models (LSTM, GRU, Transformer) to perform language modeling using limited data.
Data mining task of link prediction using DeepWalk
Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.
Website for LLM-based assistant
A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.
Chinese medical named entity recognition using roberta + Flat model + adversarial training.
Statistics and accepted paper list of NLP conferences with arXiv link
An open access book on scientific visualization using python and matplotlib
A simplified version of sift including blob detection, computing descriptor, RANSAC algorithm and image alignment.
Spoken Language Understanding. 口语语义理解是对话系统中重要的一环,其目的在于从用户的话语中提取出用户的意图,以为后续模块提供信息,最终顺利完成用户的任务。一般情况下,我们使用若干语义单元来描述用户的语义,每个语义单元由动作(act),语义槽(slot),槽值(value)三个部分构成。
Sound event detection using RCNN with week labels
Data mining project of stream algorithm
tools for deep learning