Bofang Li

21 papers A* 6A 3B 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2023 A* conf
Multi-Scenario Ranking with Adaptive Feature Learning.
SIGIR
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
2023 J jnl
Multi-Scenario Ranking with Adaptive Feature Learning.
CoRR
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
2022 J jnl
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation.
CoRR
Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu
2021 A conf
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks.
WSDM
Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng
2020 A* conf
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.
KDD
Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen
2020 A* conf
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.
IJCAI
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020 J jnl
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.
CoRR
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020 A conf
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce.
CIKM
Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen
2019 J jnl
Scaling Word2Vec on Big Corpus.
Data Sci. Eng.
Bofang Li, Aleksandr Drozd, Yuhe Guo, Tao Liu, Satoshi Matsuoka, Xiaoyong Du
2018 — conf
Attention-Based Recurrent Neural Network for Sequence Labeling.
APWeb/WAIM (1)
Bofang Li, Tao Liu, Zhe Zhao, Xiaoyong Du
2017 J jnl
Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis.
Data Sci. Eng.
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
2017 J jnl
Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis.
Data Sci. Eng.
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
2017 A* conf
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings.
EMNLP
Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du
2017 A* conf
Neural Bag-of-Ngrams.
AAAI
Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du
2017 A* conf
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics.
EMNLP
Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du
2017 — conf
The (too Many) Problems of Analogical Reasoning with Word Vectors.
*SEM
Anna Rogers, Aleksandr Drozd, Bofang Li
2016 — conf
A Text Retrieval System Based on Distributed Representations.
APWeb (2)
Zhe Zhao, Tao Liu, Jun Chen, Bofang Li, Xiaoyong Du
2016 A conf
Cluster-Driven Model for Improved Word and Text Embedding.
ECAI
Zhe Zhao, Tao Liu, Bofang Li, Xiaoyong Du
2016 — conf
Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis.
APWeb (1)
Zhe Zhao, Tao Liu, Xiaoyun Hou, Bofang Li, Xiaoyong Du
2016 B conf
Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification.
COLING
Bofang Li, Zhe Zhao, Tao Liu, Puwei Wang, Xiaoyong Du
2015 J jnl
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews.
CoRR
Bofang Li, Tao Liu, Xiaoyong Du, Deyuan Zhang, Zhe Zhao