Zijie Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts. | Jiajun Liu, Yao He, Wenjun Ke, Peng Wang, Ziyu Shang, Guozheng Li, Zijie Xu |
| 2026 | AAAI | Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation. | Hengyuan Xu, Wenjun Ke, Yao He, Jiajun Liu, Dong Nie, Peng Wang, Ziyu Shang, Zijie Xu |
| 2026 | AAAI | Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models. | Zijie Xu, Wenjun Ke, Peng Wang, Guozheng Li, Qingjian Ni, Jiajun Liu, Ziyu Shang, Jing Zhou |
| 2026 | ACL | From Outcome to Process: Optimizing MoE Load Balancing with MCTS. | Wenjun Ke, Hengyuan Xu, Ziyu Shang, Yao He, Jiahao Wang, Zijie Xu, Peng Wang, Yuhang Lou, Jiajun Liu |
| 2026 | ACL | On the Role of Discriminative Models in Generative Relation Extraction. | Guozheng Li, Peng Wang, Zijie Xu, Jing Zhou, Jiajun Liu, Ziyu Shang |
| 2026 | WWW | Unlearning of Knowledge Graph Embedding via Preference Optimization. | Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji |
| 2025 | ACL | On the Consistency of Commonsense in Large Language Models. | Guozheng Li, Peng Wang, Wenjun Ke, Zijie Xu, Jiajun Liu, Ziyu Shang |
| 2025 | ACL | Acquisition and Application of Novel Knowledge in Large Language Models. | Ziyu Shang, Jianghan Liu, Zhizhao Luo, Peng Wang, Wenjun Ke, Jiajun Liu, Zijie Xu, Guozheng Li |
| 2025 | SMC | Time/Space Twist-based Spatiotemporal Modeling under Incomplete Sampling. | Zijie Xu, Han-Xiong Li |
| 2025 | WWW | STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis. | Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi |
| 2024 | COLING | Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. | Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo |
| 2024 | COLING | CMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News. | Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang |
| 2024 | IJCAI | Incorporating Schema-Aware Description into Document-Level Event Extraction. | Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu |
| 2024 | IJCAI | Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. | Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu |
| 2024 | IJCAI | Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors. | Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu |
| 2024 | IJCAI | Empirical Analysis of Dialogue Relation Extraction with Large Language Models. | Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo |
| 2024 | IJCAI | Fast and Continual Knowledge Graph Embedding via Incremental LoRA. | Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li |
| 2023 | DASFAA | A Two-Stage Label Rectification Framework for Noisy Event Extraction. | Zijie Xu, Peng Wang, Ziyu Shang, Jiajun Liu |