| 2026 | AAAI | Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models. | Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong |
| 2026 | AAAI | NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation. | Yuanxin Zhuang, Dazhong Shen, Ying Sun |
| 2026 | ACL | REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors. | Mingxu Zhang, Dazhong Shen, Qi Zhang, Ying Sun |
| 2026 | KDD | Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition. | Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang |
| 2026 | SIGIR | Discrete Preference Learning for Personalized Multimodal Generation. | Yuting Zhang, Ying Sun, Dazhong Shen, Ziwei Xie, Feng Liu, Changwang Zhang, Xiang Liu, Jun Wang, Hui Xiong |
| 2025 | DASFAA | Killing Two Birds with One Stone: A Spatio-temporal Prompt for the Inductive Traffic Extrapolation. | Leilei Ding, Zhipeng Tang, Le Zhang, Dazhong Shen, Chao Wang, Ziyang Tao, Jingbo Zhou, Yanyong Zhang, Hui Xiong |
| 2025 | ICCV | Pretrained Reversible Generation as Unsupervised Visual Representation Learning. | Rongkun Xue, Jinouwen Zhang, Yazhe Niu, Dazhong Shen, Bingqi Ma, Yu Liu, Jing Yang |
| 2025 | ICML | EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM. | Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li |
| 2025 | KDD | Instruction Semantics Enhanced Dual-Flow Graph Model for GPU Error Resilience Prediction. | Pengfei Yu, Jingjing Gu, Dazhong Shen, Xin Dong, Yang Liu, Hui Xiong |
| 2025 | WWW | Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation. | Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong |
| 2025 | SIGIR | Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach. | Hanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu |
| 2025 | SC | Exploring and Mitigating Failure Behavior of Large Language Model Training Workloads in HPC Systems. | Pengfei Yu, Jingjing Gu, Hao Han, Dazhong Shen, Bao Wen, Yang Liu |
| 2024 | CVPR | Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. | Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu |
| 2024 | ECCV | Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation. | Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li |
| 2024 | IJCAI | DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. | Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang |
| 2024 | KDD | RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. | Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang |
| 2024 | SIGIR | AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. | Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong |
| 2023 | ICDM | ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. | Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu |
| 2021 | IJCAI | Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. | Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong |
| 2021 | WWW | Drug Package Recommendation via Interaction-aware Graph Induction. | Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen |
| 2018 | IJCAI | A Joint Learning Approach to Intelligent Job Interview Assessment. | Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong |