Bofang Li

Orcid: 0009-0000-9723-2999

According to our database1, Bofang Li authored at least 19 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Multi-Scenario Ranking with Adaptive Feature Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation.
CoRR, 2022

2021
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
Proceedings of the WSDM '21, 2021

2020
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Scaling Word2Vec on Big Corpus.
Data Sci. Eng., 2019

2018
Attention-Based Recurrent Neural Network for Sequence Labeling.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis.
Data Sci. Eng., 2017

Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis.
Data Sci. Eng., 2017

The (too Many) Problems of Analogical Reasoning with Word Vectors.
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Bag-of-Ngrams.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Cluster-Driven Model for Improved Word and Text Embedding.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification.
Proceedings of the COLING 2016, 2016

Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

A Text Retrieval System Based on Distributed Representations.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews.
CoRR, 2015


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