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60多篇，代表性成果如下：
[1]. Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun. Distributional reward estimation for effective multi-agent deep reinforcement learning. In Proceedings of the International Conference on the Advances in Neural Information Processing Systems (NeurIPS’22), New Orleans, USA, Nov 28-Dec 9, 35, (2022): 12619-12632. (CCF A)
[2]. Huang, Sili, Yanchao Sun, Jifeng Hu, Siyuan Guo, Bo Yang, Hechang Chen, Yi Chang, Lichao Sun. Learning Generalizable Agents via Saliency-Guided Features Decorrelation. In Proceedings of the International Conference on the Advances in Neural Information Processing Systems (NeurIPS’23), New Orleans, USA, 2023. (CCF A)
[3]. Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang. Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023. (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]. Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang. The Sufficiency of Off-policyness and Soft Clipping: PPO is still Insufficient According to an Off-policy Measure. In Proceedings of the 37th International Conference on the Association for the Advancement of Artificial Intelligence (AAAI’23), 2023, February 07-14, Washington D.C., USA, Vol. 37, No. 6, pp. 7078-7086. (CCF A)
[6]. 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)
[7]. 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 (TNNLS), 2022. DOI: 10.1109/TNNLS.2022.3178522. (中科院1区)
[8]. Zhaogeng Liu, Jielong Yang, Xionghu Zhong, Wenwu Wang, Hechang Chen, and Yi Chang. A Novel Composite Graph Neural Network. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (中科院1区)
[9]. 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)
[10]. Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He. Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognition, available online 28 August 2023, 109917. (中科院1区)
[11]. Xinqi Du, Hechang Chen, Bo Yang, Cheng Long, and Songwei Zhao. HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control. Information Sciences 640 (2023): 119065 - 119065. (中科院1区)
[12]. Tianyi Liu, Hechang Chen, Jifeng Hu, Zhejian Yang, Bo Yu, Xinqi Du, Yinxiao Miao, Yi Chang. Generalized Multi-Agent Competitive Reinforcement Learning with Differential Augmentation. Expert Systems with Applications, 2023. (中科院1区)
[13]. Hongren Zhou, Hechang Chen∗, Bo Yu∗, Shuchao Pang, Xianling Cong, Lele Cong. An End-to-End Weakly Supervised Learning Framework for Cancer Subtype Classification using Histopathological Slides. Expert Systems with Applications, 2023. (中科院1区）
[14]. Bo Yu, Peng Yin, Hechang Chen, Yifei Wang, Yu Zhao, Xianling Cong, Jouke Dijkstra, and Lele Cong. Pyramid Multi-Loss Vision Transformer for Thyroid Cancer Classification Using Cytological Smear. Knowledge-Based Systems, 2023. (中科院1区)
[15]. Yue Wei, Hechang Chen, Bo Yu, Chengyou Jia, Xianling Cong, and Lele Cong. Multi-scale Sequential Feature Selection for Disease Classification using Raman Spectroscopy Data. Computers in Biology and Medicine (CIBM), 162 (2023): 107053. (中科院1区)
[16]. Bo Yu, Hechang Chen, Chengyou Jia, Hongren Zhou, Lele Cong, Xiankai Li, Jianhui Zhuang, and Xianling Cong. Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history. Expert Systems with Applications, 2023, 224: 119965. (中科院1区)
[17]. Bo Yu, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Ziye Wang, Xianling Cong. Data and Knowledge Co-driving for Cancer Subtypes Classification on Multi-Scale Histopathological Slide. Knowledge-Based Systems, 2023, 260: 110168. (中科院1区)
[18]. Yang Li, Bo Yang, Xuehua Zhao, Zhejian Yang, Hechang Chen. SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks. Knowledge-Based Systems, 2023, 259: 110068. (中科院1区)
[19]. 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, 2022, 245: 108596. (中科院1区)
[20]. 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)
