| 2026 | AAAI | OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination. | Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun, Rongzhou Zhang, Guanyu Zhou, Lijie Wen |
| 2026 | ISCAS | A Clock-Independent, Time-Domain Rapid Calibration Method for Memristor-based Analog Computing AI Processors. | Junzhe Chen, Matthew Schormans, Zhiqiang Que, Dinesh Pamunuwa, Jiayang Li |
| 2025 | ACL | MHALO: Evaluating MLLMs as Fine-grained Hallucination Detectors. | Yishuo Cai, Renjie Gu, Jiaxu Li, Xuancheng Huang, Junzhe Chen, Xiaotao Gu, Minlie Huang |
| 2025 | CVPR | ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models. | Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu |
| 2025 | EMNLP | Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks. | Tianlong Wang, Junzhe Chen, Weibin Liao, Xueting Han, Jing Bai |
| 2024 | ACL | LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. | Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen |
| 2024 | ACL | Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. | Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo |
| 2024 | ICASSP | Adaptive Quantization with Mixed-Precision Based on Low-Cost Proxy. | Junzhe Chen, Qiao Yang, Senmao Tian, Shunli Zhang |
| 2024 | ICLR | Towards Understanding Factual Knowledge of Large Language Models. | Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo |
| 2023 | SIGIR | SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. | Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu |
| 2023 | SIGIR | MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. | Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu |