| 2026 | WWW | BaiJia: An Open Role-Playing Platform of Chinese Historical Characters. | Ting Bai, Jiazheng Kang, Jiayang Fan, Hengzhi Lan, Yutian Zhong |
| 2026 | WWW | Self-Evolving LLMs via Continual Instruction Tuning. | Jiazheng Kang, Le Huang, Cheng Hou, Zhe Zhao, Zhenxiang Yan, Ting Bai |
| 2026 | WSDM | C | Yue Yu, Ting Bai, Hengzhi Lan, Li Qian, Li Peng, Jie Wu, Wei Liu, Jian Luan, Chuan Shi |
| 2025 | EMNLP | Memory OS of AI Agent. | Jiazheng Kang, Mingming Ji, Zhe Zhao, Ting Bai |
| 2024 | DASFAA | Learning Social Graph for Inactive User Recommendation. | Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi |
| 2023 | CIKM | Targeted Shilling Attacks on GNN-based Recommender Systems. | Sihan Guo, Ting Bai, Weihong Deng |
| 2023 | IGARSS | Flood Assessment and Mapping Based on SAR and QUAV Vertical Remote Sensing Framework: A Case Study of 2022 Australia Moama Floods. | Ziheng Sheng, Linlin Ge, Chen Li, Ting Bai, Chang Liu, Yunhao Wu, Qi Zhang |
| 2023 | IGARSS | An Improved Luminance Contrast Saliency Map for Burned Area Mapping Based in INSAR Coherence Difference Image. | Ting Bai, Linlin Ge, Samad M. E. Sepasgozar, Ziheng Sheng, Chang Liu, Yunhao Wu, Qi Zhang |
| 2023 | IGARSS | The Influence of Changing Features on the Accuracy of Deep Learning-Based Large-Scale Outdoor Lidar Semantic Segmentation. | Chang Liu, Qi Zhang, Sara Shirowzhan, Ting Bai, Ziheng Sheng, Yunhao Wu, Jianming Kuang, Linlin Ge |
| 2023 | SIGIR | EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. | Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao |
| 2023 | WSDM | Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. | Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao |
| 2022 | DASFAA | Learning Social Influence from Network Structure for Recommender Systems. | Ting Bai, Yanlong Huang, Bin Wu |
| 2022 | DASFAA | Semi-supervised Graph Learning with Few Labeled Nodes. | Cong Zhang, Ting Bai, Bin Wu |
| 2022 | EMNLP | A Multi-Modal Knowledge Graph for Classical Chinese Poetry. | Yuqing Li, Yuxin Zhang, Bin Wu, Ji-Rong Wen, Ruihua Song, Ting Bai |
| 2022 | ICONIP | Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection. | Xing Wei, Ting Bai, Zhangling Duan, Ming Zhao, Chong Zhao, Yang Lu, Di Hu |
| 2022 | ICONIP | Cross-domain Object Detection Model via Contrastive Learning with Style Transfer. | Ming Zhao, Xing Wei, Yang Lu, Ting Bai, Chong Zhao, Lei Chen, Di Hu |
| 2022 | KSEM | Learning Advisor-Advisee Relationship from Multiplex Network Structure. | Xiangchong Cui, Ting Bai, Bin Wu, Xinkai Meng |
| 2022 | WWW | A Contrastive Sharing Model for Multi-Task Recommendation. | Ting Bai, Yudong Xiao, Bin Wu, Guojun Yang, Hongyong Yu, Jian-Yun Nie |
| 2022 | UIC | Domain Adaption Object Detection with Global - Local Contrastive Learning and Co-training Network. | Ming Zhao, Xing Wei, Yang Lu, Ting Bai, Chong Zhao |
| 2020 | KSEM | A Time Interval Aware Approach for Session-Based Social Recommendation. | Youjie Zhang, Ting Bai, Bin Wu, Bai Wang |
| 2020 | WWW | Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. | Kai Zhao, Ting Bai, Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang, Jian-Yun Nie |
| 2020 | WSDM | Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. | Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin |
| 2019 | CIKM | News Graph: An Enhanced Knowledge Graph for News Recommendation. | Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie |
| 2019 | NAACL | SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling. | Peng Lu, Ting Bai, Philippe Langlais |
| 2019 | SIGIR | CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. | Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen |
| 2018 | SIGIR | An Attribute-aware Neural Attentive Model for Next Basket Recommendation. | Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, Ji-Rong Wen |
| 2017 | CIKM | A Neural Collaborative Filtering Model with Interaction-based Neighborhood. | Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao |