Bofang Li

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Sentiment Classification

Weighting Scheme

Neural Architecture

Top Venues

Publications

Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR (2023)
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
Multi-Scenario Ranking with Adaptive Feature Learning. CoRR (2023)
Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. CoRR (2022)
Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM (2021)
Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. CIKM (2020)
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI (2020)
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR (2020)
Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. KDD (2020)
Bofang Li, Aleksandr Drozd, Yuhe Guo, Tao Liu, Satoshi Matsuoka, Xiaoyong Du
Scaling Word2Vec on Big Corpus. Data Sci. Eng. 4 (2) (2019)
Bofang Li, Tao Liu, Zhe Zhao, Xiaoyong Du
Attention-Based Recurrent Neural Network for Sequence Labeling. APWeb/WAIM (1) (2018)
Anna Rogers, Aleksandr Drozd, Bofang Li
The (too Many) Problems of Analogical Reasoning with Word Vectors. *SEM (2017)
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. EMNLP (2017)
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. Data Sci. Eng. 2 (4) (2017)
Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. EMNLP (2017)
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. Data Sci. Eng. 2 (2) (2017)
Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du
Neural Bag-of-Ngrams. AAAI (2017)
Zhe Zhao, Tao Liu, Xiaoyun Hou, Bofang Li, Xiaoyong Du
Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis. APWeb (1) (2016)
Zhe Zhao, Tao Liu, Bofang Li, Xiaoyong Du
Cluster-Driven Model for Improved Word and Text Embedding. ECAI (2016)
Bofang Li, Zhe Zhao, Tao Liu, Puwei Wang, Xiaoyong Du
Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification. COLING (2016)
Zhe Zhao, Tao Liu, Jun Chen, Bofang Li, Xiaoyong Du
A Text Retrieval System Based on Distributed Representations. APWeb (2) (2016)
Bofang Li, Tao Liu, Xiaoyong Du, Deyuan Zhang, Zhe Zhao
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews. CoRR (2015)