Selected Publications

Recent: On-Device ML/DL | LLMs/SLMs | Efficient LRMs | Federated Learning | Reinforcement Learning | Computer Vision

  • Dongqi Zheng: When Few Steps Are Enough: Training-Free Acceleration of Identity-Preserved Generation, CVPR – Generative Models for Computer Vision, 2026 [PDF]
  • Dongqi Zheng: ARS: Adaptive Reasoning Suppression for Efficient Large Reasoning Language Models, NeurIPS – Foundations of Reasoning Language Models, 2025 [arXiv][Code]
  • Dongqi Zheng: On-Device Hybrid LLM-RAG Agents for Adaptive Display Optimization, under review, 2025 [PDF][Code]
  • Dongqi Zheng, Wenjin Fu: System-Aware LoRA Scaling for On-Device LLMs via Hierarchical Multi-Objective Reinforcement Learning, NeurIPS – LLM Evaluation, 2025 Training-Free Acceleration of Identity-Preserved Generation
  • Dongqi Zheng, Wenjin Fu: CAFL-L: Constraint-Aware Federated Learning with Lagrangian Dual Optimization for On-Device Language Models, NeurIPS – Constrained Optimization on Machine Learning, 2025 [arXiv][Code]
  • Dongqi Zheng, Wenjin Fu, Guangzong Chen: A Real-Time On-Device Defect Detection Framework for Laser Power-Meter Sensors via Unsupervised Learning, under review, 2024 [arXiv]
  • Dongqi Zheng, Diffusion Models on the Edge: Challenges, Optimizations, and Applications, 2024 [arXiv]

Publications

  • Dongqi Zheng, Adam Charnas, Jian-Yu Lin, Jackson Anderson, Hongyi Dou, Zedong Hu, Zehao Lin, Zhuocheng Zhang, Jie Zhang, Pai-Ying Liao, Mengwei Si, Haiyan Wang, Dana Weinstein and Peide. D. YeUltrathin Atomic-Layer-Deposited In2O3 Radio-Frequency Transistors with Record High fT of 36 GHz and BEOL Compatibility, Symposia on VLSI Technology and Circuits (VLSI 2023).
  • Dongqi Zheng, Adam Charnas, Jackson Anderson, Hongyi Dou, Zedong Hu, Zehao Lin, Zhuocheng Zhang, Jie Zhang, Pai-Ying Liao, Mengwei Si, Haiyan Wang, Dana Weinstein and Peide. D. Ye, “First Demonstration of BEOL-Compatible Ultrathin Atomic-Layer-Deposited InZnO Transistors with GHz Operation and Record High Bias-Stress Stability, 2022 IEEE International Electron Device Meeting (IEDM 2022).
  • Dongqi Zheng, Mengwei Si, Sou-Chi Chang, Nazila Haratipour, Zhizhong Chen, Adam Charnas, Shouyuan Huang, Kang Wang, Letian Dou, Xianfan Xu, Uygar E. Avci, and Peide D. Ye, Ultrathin Two-Dimensional Van der Waals Asymmetric Ferroelectric Semiconductor Junctions, Journal of Applied Physics, 2022. (Featured Article)
  • Eunseon Yu, Amogh Agrawal, Dongqi Zheng, Mengwei Si, Peide D. Ye, Sumeet K. Gupta, Kaushik Roy, “Ferroelectric FET Based Coupled-Oscillatory Network for Edge Detection”, Ferroelectric FET Based Coupled-Oscillatory Network for Edge Detection, IEEE Electron Device Letters, 2021 (Editor’s Pick)
  • M. Si, Y. Luo, W. Chung, H. Bae, D. Zheng, J. Li, J. Qin, G. Qiu, S. Yu, P. D. Ye: A Novel Scalable Energy-Efficient Synaptic Device: Crossbar Ferroelectric Semiconductor Junction, 2019 IEEE International Electron Device Meeting (IEDM 2019).

Undergraduate (2014-2018)

  • Dongqi Zheng, Ziming Zhao, Rui Huang, Jiaheng Nie, Lijie Li, Yan Zhang High-performance piezo-phototronic solar cell based on two-dimensional materials, Nano Energy, 2018