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Hi 👋

My name is Bin Liang!

I am a Postdoctoral Fellow working on research related to NLP and machine learning.

  • 👨🏼‍🎓 I got my doctorate from Harbin Institute of Technology, Shenzhen, China.
  • 📚️ My current research interests include natural language processing, sentiment analysis, multimodal learning, and machine learning.
  • 📃 I have published more than 30 papers with top conferences and journals, such as ACL, EMNLP, WWW, SIGIR, ACM TOIS, IEEE TAC, etc.
  • 📫 Please visit my personal website for complete background and contact.

Bin Liang (梁 斌)'s Projects

sarc icon sarc

Evaluation code for the Self-Annotated Reddit Corpus

sarcasm-detection icon sarcasm-detection

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

scon-absa icon scon-absa

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

sentic-gcn icon sentic-gcn

[KBS] Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

sequence-labelling icon sequence-labelling

Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in keras

simcse icon simcse

SimCSE: Simple Contrastive Learning of Sentence Embeddings

spacy icon spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

stance_detection icon stance_detection

Stance Detection for the Fake News Challenge with Conditional Encoding and Attention LSTM, as Stanford CS224N class project by Stephen Pfohl, Oskar Triebe and Ferdinand Legros.

stweet icon stweet

Advanced python library to scrap Twitter (tweets, users) from unofficial API, fully covered by integration tests

supcontrast icon supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

table-fact-checking icon table-fact-checking

Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"

taxorl icon taxorl

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

td-lstm icon td-lstm

Attention-based Aspect-term Sentiment Analysis implemented by tensorflow.

text_gcn icon text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

textclassification-keras icon textclassification-keras

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

textmate icon textmate

TextMate is a graphical text editor for macOS 10.12 or later

timme icon timme

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

tombert icon tombert

Dataset and codes for our IJCAI 2019 paper "Adapting BERT for Target-Oriented Multimodal Sentiment Classification"

tpdg icon tpdg

[WWW 2021] Target-adaptive Graph for Cross-target Stance Detection

train_cnn-rnn-attention icon train_cnn-rnn-attention

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....

transcap icon transcap

Zhuang Chen, Tieyun Qian: Transfer Capsule Network for Aspect Level Sentiment Classification. ACL 2019: 547-556

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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