| 2026 | ACL | LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning. | Zhengjun Huang, Zhoujin Tian, Qintian Guo, Fangyuan Zhang, Yingli Zhou, Di Jiang, Zeying Xie, Xiaofang Zhou |
| 2026 | ACL | Breaking the Static Graph: Context-Aware Traversal for Graph-Based RAG. | Kwun Hang Lau, Fangyuan Zhang, Boyu Ruan, Yingli Zhou, Qintian Guo, Ruiyuan Zhang, Xiaofang Zhou |
| 2025 | ICASSP | Semantic Hierarchical Prompt Tuning for Parameter-Efficient Fine-Tuning. | Haowei Zhu, Fangyuan Zhang, Rui Qin, Tianxiang Pan, Jun-Hai Yong, Bin Wang |
| 2025 | VLDB | Scalable Graph-based Retrieval-Augmented Generation via Locality-Sensitive Hashing. | Fangyuan Zhang, Zhengjun Huang, Yingli Zhou, Qingtian Guo, Wensheng Luo, Xiaofang Zhou |
| 2024 | AAAI | W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation. | Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang |
| 2024 | ACL | Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models. | Huichi Zhou, Zhaoyang Wang, Hongtao Wang, Dongping Chen, Wenhan Mu, Fangyuan Zhang |
| 2024 | ECAI | Boundary-Enhanced Instance Segmentation. | Fangyuan Zhang, Tianxiang Pan, Yu-Wing Tai, Bin Wang |
| 2023 | IJCAI | Low-Confidence Samples Mining for Semi-supervised Object Detection. | Guandu Liu, Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang |
| 2022 | AAAI | Semi-supervised Object Detection with Adaptive Class-Rebalancing Self-Training. | Fangyuan Zhang, Tianxiang Pan, Bin Wang |
| 2022 | KDD | Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling. | Xingguang Chen, Fangyuan Zhang, Sibo Wang |
| 2018 | KSEM | Research on Distribution Alignment and Semantic Consistency in the Adversarial Domain Adaptation. | Jingcheng Ni, Haiyang Jia, Fangyuan Zhang, Yixuan Wang, Juan Chen |