| 2025 | DAC | NoiseZO: RRAM Noise-Driven Zeroth-Order Optimization for Efficient Forward-Only Training. | Shuqi Wang, Zhengwu Liu, Chenchen Ding, Chen Zhang, Taiqiang Wu, Jiajun Zhou, Ngai Wong |
| 2025 | EMNLP | QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models. | Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang |
| 2025 | WWW | Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification. | Xuanze Chen, Jiajun Zhou, Shanqing Yu, Qi Xuan |
| 2024 | IJCAI | Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. | Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong |
| 2024 | NAACL | LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. | Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang |
| 2023 | CIKM | Neighborhood Homophily-based Graph Convolutional Network. | Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan |
| 2023 | DATE | PECAN: A Product-Quantized Content Addressable Memory Network. | Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong |
| 2023 | FCCM | MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. | Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So |
| 2023 | ICDM | Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. | Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan |
| 2020 | CIKM | Data Augmentation for Graph Classification. | Jiajun Zhou, Jie Shen, Qi Xuan |