在机器学习和数据挖掘领域国际著名期刊和会议上发表学术论文40多篇，部分成果如下：
[1]. Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang. Context-aware Attentive Multi-level Feature Fusion for Named Entity Recognition. IEEE Transactions on Neural Networks and Learning Systems, 2022. 1-12. DOI: 10.1109/TNNLS.2022.3178522 (中科院1区, IF=10.451)
[2]. Liping Huang, Yongjian Yang, Hechang Chen, Yunke Zhang, Zijia Wang, Lifang He. Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data. Knowledge-Based Systems, 245: 108596 (2022). (中科院1区, IF=8.038)
[3]. Shisong Tang, Qing Li, Xiaoteng Ma, Ci Gao, Dingmin Wang, Yong Jiang, Qian Ma, Aoyang Zhang, Hechang Chen. Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction. WWW 2022, 1-10. (CCF A)
[4]. Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi chang. Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. In proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’21), Virtual Event, Canada, July 11–15, 2021: 275-284. (CCF A)
[5]. Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang and Yi Chang. HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. In proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21), Virtual Event, Punta Cana, November 7–11, 2021: 1–9. (清华推荐A类, CCF B)
[6]. Zhixiao Sun, Haiyin Piao, Zhen Yang, Yiyang Zhao, Guang Zhan, Deyun Zhou, Guanglei Meng, Hechang Chen, Xing Chen, Bohao Qu, Yuanjie Lu. Multi-agent hierarchical policy gradient for Air Combat Tactics emergence via self-play. Engineering Applications of Artificial Intelligence (EAAI), 2021, 98: 104112. (中科院1区, IF=6.212)
[7]. Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo. A Scalable Redefined Stochastic Blockmodel. ACM Transactions on Knowledge Discovery from Data (TKDD), 2021, 15(3): 46:1-46:28. (CCF B)
[8]. Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang. Unbiased Learning to Rank in Feeds Recommendation. In proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM'21), Virtual Event, Israel, March 8-12, 2021: 490-498. (清华推荐A类, CCF B)
[9]. Shuchao Pang, AnAn Du, Mehmet A. Orgun, Hechang Chen. Weakly supervised learning for image keypoint matching using graph convolutional networks. Knowledge-Based System (KBS), 2020, 197: 105871. (中科院1区, IF=8.038)
[10]. Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu. Self-paced Ensemble for Highly Imbalanced Massive Data Classification. In proceedings of the 36th IEEE International Conference on Data Engineering (ICDE’20), Virtual Event, USA, April 20-24, 2020: 841-852. (CCF A)
[11]. Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang. Attention-based Multi-level Feature Fusion for Named Entity Recognition. In proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI’20), Virtual Event, Japan, January 7-15, 2021: 3594-3600. (CCF A)
[12]. Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia. Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017, 39(8): 1532-1546. (CCF A, 中科院1区，IF=17.861)
[13]. Bo Yang, Hechang Chen, Xuehua Zhao, Masato Naka, Jing Huang. On Characterizing and Computing the Diversity of Hyperlinks for Anti-spamming Page Ranking. Knowledge-Based System (KBS), 2015: 56-67. (中科院1区, IF=8.038)
[14]. 杨博, 陈贺昌, 朱冠宇, 赵学华. 基于超链接多样性分析的新型网页排名算法. 计算机学报, 2014, 37(4): 833-847. (CCF A)
[15]. 赵学华, 杨博, 陈贺昌. 一种高效的随机块模型学习算法. 软件学报, 2016, 27(9):2248-2264. (CCF A)
