Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews. - Bofang Li; Tao Liu 001; Xiaoyong Du 001; Deyuan Zhang; Zhe Zhao 006 (CoRR, 2015)

A Text Retrieval System Based on Distributed Representations. - Zhe Zhao 006; Tao Liu 001; Jun Chen 021; Bofang Li; Xiaoyong Du 001 (APWeb (2), 2016)

Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis. - Zhe Zhao 006; Tao Liu 001; Xiaoyun Hou; Bofang Li; Xiaoyong Du 001 (APWeb (1), 2016)

Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification. - Bofang Li; Zhe Zhao 006; Tao Liu 001; Puwei Wang; Xiaoyong Du 001 (COLING, 2016)

Cluster-Driven Model for Improved Word and Text Embedding. - Zhe Zhao 006; Tao Liu 001; Bofang Li; Xiaoyong Du 001 (ECAI, 2016)

Neural Bag-of-Ngrams. - Bofang Li; Tao Liu 001; Zhe Zhao 006; Puwei Wang; Xiaoyong Du 001 (AAAI, 2017)

Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. - Bofang Li; Tao Liu 001; Zhe Zhao 006; Buzhou Tang; Aleksandr Drozd; Anna Rogers; Xiaoyong Du 001 (EMNLP, 2017)

Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. - Zhe Zhao 006; Tao Liu 001; Shen Li; Bofang Li; Xiaoyong Du 001 (EMNLP, 2017)

The (too Many) Problems of Analogical Reasoning with Word Vectors. - Anna Rogers; Aleksandr Drozd; Bofang Li (*SEM, 2017)

Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. - Zhe Zhao 006; Tao Liu 001; Shen Li; Bofang Li; Xiaoyong Du 001 (Data Sci. Eng., 2017)

Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. - Zhe Zhao 006; Tao Liu 001; Shen Li; Bofang Li; Xiaoyong Du 001 (Data Sci. Eng., 2017)

Attention-Based Recurrent Neural Network for Sequence Labeling. - Bofang Li; Tao Liu 001; Zhe Zhao 006; Xiaoyong Du 001 (APWeb/WAIM (1), 2018)

Scaling Word2Vec on Big Corpus. - Bofang Li; Aleksandr Drozd; Yuhe Guo; Tao Liu 001; Satoshi Matsuoka; Xiaoyong Du 001 (Data Sci. Eng., 2019)

Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. - Xichuan Niu; Bofang Li; Chenliang Li; Rong Xiao 005; Haochuan Sun; Honggang Wang; Hongbo Deng; Zhenzhong Chen (CIKM, 2020)

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. - Daoyuan Chen; Yaliang Li; Minghui Qiu; Zhen Wang 036; Bofang Li; Bolin Ding; Hongbo Deng; Jun Huang 007; Wei Lin 016; Jingren Zhou 001 (IJCAI, 2020)

A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. - Xichuan Niu; Bofang Li; Chenliang Li; Rong Xiao 005; Haochuan Sun; Hongbo Deng; Zhenzhong Chen (KDD, 2020)

Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. - Xichuan Niu; Bofang Li; Chenliang Li; Jun Tan; Rong Xiao 005; Hongbo Deng (WSDM, 2021)

CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. - Shengyu Zhang 001; Bofang Li; Dong Yao; Fuli Feng; Jieming Zhu; Wenyan Fan; Zhou Zhao 001; Xiaofei He 001; Tat-Seng Chua; Fei Wu 001 (CoRR, 2022)

Multi-Scenario Ranking with Adaptive Feature Learning. - Yu Tian; Bofang Li; Si Chen 010; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Qian Wang 002; Chenliang Li (SIGIR, 2023)