| 2026 | ACL | Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models. | Xudong Wang, Chaoning Zhang, Chenghao Li, Shuxu Chen, Qigan Sun, Jiaquan Zhang, Fachrina Dewi Puspitasari, Tae-Ho Kim, Jiwei Wei, Malu Zhang, Guoqing Wang, Yang Yang, Heng Tao Shen |
| 2025 | CogSci | Detecting Critical Collapsed Nodes in Social Networks: A Cognitive Model of Resilience under Spatial Constraints. | Wei Li, Chenghao Li, Yidan Chen, Ziyang Zhang, Weihe Yan, Moustafa Youssef, Xiang Li |
| 2025 | DAIS | AI${{\varvec{\tilde{o}}}}$RT: AI-Driven Distributed System for Heterogenous Internet of Robotic Things in Sustainable Ecosystem. | Hanyue Xu, Yuanxin Su, Kah Phooi Seng, Chenghao Li, Han Lu, Jianfei He, Li-Minn Ang |
| 2025 | ICASSP | Self-Supervised Uncertainty-Guided Refinement for Robust Joint Optical Flow and Depth Estimation. | Rokia Abdein, Wei Li, Chenghao Li, Xiangping Zheng, Rahul Yadav |
| 2025 | ICLR | Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. | Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo Xu |
| 2025 | IECON | A divide and conquer partitioning method for bigraph data in industrial grade intelligent unmanned distributed systems. | Chaoze Lu, Chenxia Liu, Chenghao Li |
| 2024 | AAAI | Learning Diverse Risk Preferences in Population-Based Self-Play. | Yuhua Jiang, Qihan Liu, Xiaoteng Ma, Chenghao Li, Yiqin Yang, Jun Yang, Bin Liang, Qianchuan Zhao |
| 2024 | COCOON | TCFNet: Temporal-Correlated Feature Fused Network for Multivariate Time Series Classification. | Wenlong Liang, Chenghao Li, Yahui Zhao, Zhenguo Zhang |
| 2024 | CVPR | DIA: Diffusion based Inverse Network Attack on Collaborative Inference. | Dake Chen, Shiduo Li, Yuke Zhang, Chenghao Li, Souvik Kundu, Peter A. Beerel |
| 2024 | FCCM | LAMPS: A Layer-wised Mixed-Precision-and-Sparsity Accelerator for NAS-Optimized CNNs on FPGA. | Shuxin Yang, Chenchen Ding, Mingqiang Huang, Kai Li, Chenghao Li, Zikun Wei, Sixiao Huang, Jingyao Dong, Liuyang Zhang, Hao Yu |
| 2024 | ICASSP | Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. | Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel |
| 2024 | ICSE | Demystifying Compiler Unstable Feature Usage and Impacts in the Rust Ecosystem. | Chenghao Li, Yifei Wu, Wenbo Shen, Zichen Zhao, Rui Chang, Chengwei Liu, Yang Liu, Kui Ren |
| 2023 | ICCAD | RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference. | Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel |
| 2023 | ICCV | SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. | Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel |
| 2023 | IGARSS | Outdoor Simultaneous Localization and Mapping by Using Millimeter Wave Radar. | Chenghao Li, Haitao Lyu, Hao Wu, Jiang Qian |
| 2020 | IPCCC | A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo. | Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang |
| 2017 | ICIP | Depth-weighted correlation method for visual tracking with occlusion detection. | Chenghao Li, Yuan Zhou, Bo Cut, Chunping Hou |