| 2026 | ISCAS | HyperNTT: An Ultra-High Throughput Number Theoretic Transform Accelerator for FHE. | Yan Xu, Xiyan Dong, Jiarui Wang, Leyan Zhang, An Wang, Xinghua Wang, Liehuang Zhu, Jingqi Zhang |
| 2026 | SP | Shared Spotlight Meridian: Distributed Sparse Pseudorandom Functions for Scalable Federated Learning. | Youlong Ding, Peihua Mai, Jingqi Zhang, Sherman S. M. Chow, Minxin Du, Yan Pang |
| 2025 | EMNLP | SLiNT: Structure-aware Language Model with Injection and Contrastive Training for Knowledge Graph Completion. | Mengxue Yang, Chun Yang, Jiaqi Zhu, Jiafan Li, Jingqi Zhang, Yuyang Li, Ying Li |
| 2025 | KDD | Practical Guidance and Tutorial on Incentivizing Reasoning in LLMs using Distillation and Reinforcement Learning. | Zhaopeng Qiu, Jingqi Zhang, Shuang Yu, Shuai Zhang, Junjie Lai |
| 2024 | ISCAS | Modular Inversion Architecture over GF(2 | Jingqi Zhang, Yujie Jiang, An Wang |
| 2021 | IJCAI | Reward-Constrained Behavior Cloning. | Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang |
| 2020 | KSEM | AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering. | Jingqi Zhang, Zhongbin Sun, Yong Qi |
| 2018 | ISCAS | A Fast Modular Inversion FPGA Implementation over GF(2 | Jiakun Li, Zhe Li, Chengbo Xue, Jingqi Zhang, Wei Gao, Shan Cao |