| 2026 | ACL | Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction. | Xingwu Chen, Zhanqiu Zhang, Steven Y. Guo, Difan Zou |
| 2025 | ACL | Cultivating Gaming Sense for Yourself: Making VLMs Gaming Experts. | Wenxuan Lu, Jiangyang He, Zhanqiu Zhang, Steven Y. Guo, Tianning Zang |
| 2025 | ACL | Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model. | Yeyong Yu, Runsheng Yu, Haojie Wei, Zhanqiu Zhang, Quan Qian |
| 2024 | EMNLP | Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. | Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | KDD | Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. | Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu |
| 2022 | WWW | Rethinking Graph Convolutional Networks in Knowledge Graph Completion. | Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu |
| 2021 | ACL | Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs. | Jianyu Cai, Zhanqiu Zhang, Feng Wu, Jie Wang |
| 2020 | AAAI | Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. | Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang |