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2020 – today
- 2023
[c14]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: 517-526- [i4]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 abs/2306.16732 (2023) - 2022
- [i3]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 abs/2208.08024 (2022) - 2021
- [c13]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: 1038-1046 - 2020
- [c12]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: 2165-2168 - [c11]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: 2463-2469 - [c10]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: 3405-3415 - [i2]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 abs/2001.04246 (2020)
2010 – 2019
- 2019
- [j3]Bofang Li, Aleksandr Drozd, Yuhe Guo, Tao Liu, Satoshi Matsuoka, Xiaoyong Du:
Scaling Word2Vec on Big Corpus. Data Sci. Eng. 4(2): 157-175 (2019) - 2018
- [c9]Bofang Li, Tao Liu, Zhe Zhao, Xiaoyong Du:
Attention-Based Recurrent Neural Network for Sequence Labeling. APWeb/WAIM (1) 2018: 340-348 - 2017
- [j2]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): 178-186 (2017) - [j1]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): 346 (2017) - [c8]Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du:
Neural Bag-of-Ngrams. AAAI 2017: 3067-3074 - [c7]Zhe Zhao, Tao Liu, Shen Li, Bofang Li, Xiaoyong Du:
Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. EMNLP 2017: 244-253 - [c6]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: 2421-2431 - [c5]Anna Rogers, Aleksandr Drozd, Bofang Li:
The (too Many) Problems of Analogical Reasoning with Word Vectors. *SEM 2017: 135-148 - 2016
- [c4]Zhe Zhao, Tao Liu, Xiaoyun Hou, Bofang Li, Xiaoyong Du:
Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis. APWeb (1) 2016: 41-52 - [c3]Zhe Zhao, Tao Liu, Jun Chen, Bofang Li, Xiaoyong Du:
A Text Retrieval System Based on Distributed Representations. APWeb (2) 2016: 537-541 - [c2]Bofang Li, Zhe Zhao, Tao Liu, Puwei Wang, Xiaoyong Du:
Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification. COLING 2016: 1591-1600 - [c1]Zhe Zhao, Tao Liu, Bofang Li, Xiaoyong Du:
Cluster-Driven Model for Improved Word and Text Embedding. ECAI 2016: 99-106 - 2015
- [i1]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 abs/1512.08183 (2015)
Coauthor Index
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