Predicting movie Box-office revenues by exploiting large-scale social media content. - Ting Liu 001; Xiao Ding; Yiheng Chen; Haochen Chen; Maosheng Guo (Multim. Tools Appl., 2016)

Don't Walk, Skip!: Online Learning of Multi-scale Network Embeddings. - Bryan Perozzi; Vivek Kulkarni; Haochen Chen; Steven Skiena (ASONAM, 2017)

DeepBrowse: Similarity-Based Browsing Through Large Lists (Extended Abstract). - Haochen Chen; Arvind Ram Anantharam; Steven Skiena (SISAP, 2017)

HARP: Hierarchical Representation Learning for Networks. - Haochen Chen; Bryan Perozzi; Yifan Hu 001; Steven Skiena (AAAI, 2018)

Enhanced Network Embeddings via Exploiting Edge Labels. - Haochen Chen; Xiaofei Sun; Yingtao Tian; Bryan Perozzi; Muhao Chen 001; Steven Skiena (CIKM, 2018)

Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. - Yun He 001; Haochen Chen; Ziwei Zhu 001; James Caverlee (ICDM, 2018)

A Tutorial on Network Embeddings. - Haochen Chen; Bryan Perozzi; Rami Al-Rfou; Steven Skiena (CoRR, 2018)

Fast and Accurate Network Embeddings via Very Sparse Random Projection. - Haochen Chen; Syed Fahad Sultan; Yingtao Tian; Muhao Chen 001; Steven Skiena (CIKM, 2019)

Learning to Represent Bilingual Dictionaries. - Muhao Chen 001; Yingtao Tian; Haochen Chen; Kai-Wei Chang; Steven Skiena; Carlo Zaniolo (CoNLL, 2019)

Social Relation Inference via Label Propagation. - Yingtao Tian; Haochen Chen; Bryan Perozzi; Muhao Chen 001; Xiaofei Sun; Steven Skiena (ECIR (1), 2019)

GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts. - Haochen Chen; Tao Liang; Kai Tan; Anan Wu; Xin Lu (J. Cheminformatics, 2024)

DiSE: A diffusion probabilistic model for automatic structure elucidation of organic compounds. - Haochen Chen; Qi Huang; Anan Wu; Wenhao Zhang; Jianliang Ye; Jianming Wu; Kai Tan; Xin Lu; Xin Xu (CoRR, 2025)