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Name: Information Retrieval Group, Wuhan University, China
Type: Organization
Location: Wuhan University, Wuhan, Hubei, China
Blog: http://lichenliang.net/
Name: Information Retrieval Group, Wuhan University, China
Type: Organization
Location: Wuhan University, Wuhan, Hubei, China
Blog: http://lichenliang.net/
Our implementation of Biterm Topic Model (BTM) (published in WWW 2013)
The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo, https://dl.acm.org/citation.cfm?id=3298988
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216
The implementation of our SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun
(CIKM2023)Tutorial: Data Denoising Metrics in Recommender Systems
The Tensorflow implementation of accepted ACL 2018 paper "A deep relevance model for zero-shot document filtering", Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen, http://aclweb.org/anthology/P18-1214
The java implementation of "Seed-Guided Topic Model for Document Filtering and Classification ", TOIS 2018.
The implementation of GPU-based Dirichlet Multinomial Mixture model (GPU-DMM) (published in SIGIR 2016)
Our implementation of collapsed Gibbs Sampling algorithm for Dirichlet Multinomial Mixture model(GSDMM) (published in KDD 2014)
The dataset and PyTorch Implementation for ACL 2020 paper "MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization".
Code for CIKM 2019 paper "Exploiting Multiple Embeddings for Chinese Named Entity Recognition".
Open source data and code of the MGNM
The implementation of "PARL: Let Strangers Speak Out What You Like", Libing Wu, Cong Quan, Chenliang Li, Donghong Ji, https://doi.org/10.1145/3269206.3271695
The java implementation of "Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings" TOIS 2017, Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma, https://dl.acm.org/citation.cfm?doid=3133943.3091108
The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.org/10.1145/3357384.3358166
The official Keras implementation of ACL 2020 paper "Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders".
The Tensorflow implementation of "Review-driven Answer Generation for Product-related Questions in E-commerce ", WSDM 2019.
This repository is the implementation of "A Review-Driven Neural Model for Sequential Recommendation", Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan, https://www.ijcai.org/proceedings/2019/397
Our Java implementation of Self-Aggregation-Based Topic Model (SATM)
This is the java implementation of paper "Multi-label Dataless Text Classification with Topic Modeling", Daochen Zha, Chenliang Li, https://arxiv.org/abs/1711.01563
The implementation of 'Effective Document Labeling with Very Few Seed Words: A Topic Modeling Approach', Chenliang Li, Jian Xing, Aixin Sun, Zongyang Ma, https://doi.org/10.1145/2983323.2983721
A collection of papers for topic evolution on social media.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.