| 2026 | SIGIR | Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models. | Yizhou Dang, Yifan Wu, Minhan Huang, Chuang Zhao, Lianbo Ma, Guibing Guo, Xingwei Wang, Zhu Sun |
| 2026 | SIGIR | Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation. | Zhifu Wei, Yizhou Dang, Guibing Guo, Chuang Zhao, Zhu Sun |
| 2026 | SIGIR | Prototype-Calibrated Graph Prompting for Few-Shot Graph Adaptation. | Yumeng Zhao, Yan Yan, Chuang Zhao, Yingzi Shi, Bei Hua, Shuo Wen |
| 2025 | IJCNN | Mutual Information and Trajectory-Awared Reinforcement Learning for Multi-Agent Path Finding. | Chuang Zhao, Ying Liu |
| 2025 | KDD | Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness. | Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li |
| 2025 | NAACL | Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction. | Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan |
| 2025 | WWW | Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases. | Chuang Zhao, Hui Tang, Jiheng Zhang, Xiaomeng Li |
| 2024 | KDD | Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems. | Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan |
| 2023 | CIKM | Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition. | Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao, Jianping Fan |
| 2023 | ECAI | Deep Unsupervised Hashing with Hyperbolic Multi-Structure Learning. | Chuang Zhao, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Qiang Cao |
| 2023 | ICIP | Mutual Relative Position Learning Transformer for Cross-View Geo-Localization. | Bo Gu, Hefei Ling, Yuxuan Shi, Zongyi Li, Chuang Zhao, Ping Li, Qiang Cao |
| 2023 | ICIP | Deep Unsupervised Hashing with Semantic Consistency Learning. | Chuang Zhao, Shijie Lu, Hefei Ling, Yuxuan Shi, Bo Gu, Ping Li, Qiang Cao |
| 2023 | ICIP | Improve Unsupervised Deep Hashing Via Masked Contrastive Learning. | Chuang Zhao, Hefei Ling, Shijie Lu, Yuxuan Shi, Ping Li, Qiang Cao |
| 2023 | ICIP | Unsupervised Deep Hashing With Deep Semantic Distillation. | Chuang Zhao, Hefei Ling, Yuxuan Shi, Bo Gu, Shijie Lu, Ping Li, Qiang Cao |
| 2023 | WWW | Cross-domain recommendation via user interest alignment. | Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan |
| 2022 | AAAI | Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. | Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu |
| 2022 | AAAI | Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. | Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan |
| 2022 | WWW | Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. | Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen |
| 2021 | IJCNN | Selective Adversarial Adaptation Learning via Exclusive Regularization for Partial Domain Adaptation. | Ping Li, Linlin Shen, Hefei Ling, Lei Wu, Qian Wang, Chuang Zhao |
| 2020 | ICIS | A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms. | Xin Wei, Wei He, Xi Zhang, Chuang Zhao, Hongke Zhao |
| 2006 | ICONIP | Application of Improved Kohonen SOFM Neural Network to Radar Signal Sorting. | Chuang Zhao, Yongjun Zhao |