| 2024 | AAAI | Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. | Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll |
| 2024 | FPGA | A Composable Dynamic Sparse Dataflow Architecture for Efficient Event-based Vision Processing on FPGA. | Yizhao Gao, Baoheng Zhang, Yuhao Ding, Hayden Kwok-Hay So |
| 2024 | BSN | Multi-Modal Flexible Headband for Sleep Monitoring. | Zaihao Wang, Yuhao Ding, Hongyu Chen, Zihao Wang, Chen Chen, Wei Chen |
| 2023 | AAAI | Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. | Yuhao Ding, Ming Jin, Javad Lavaei |
| 2023 | AAAI | Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. | Yuhao Ding, Javad Lavaei |
| 2023 | AAAI | Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes. | Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen |
| 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 | FCCM | Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-Integer Geometric Programming. | Yuhao Ding, Jiajun Wu, Yizhao Gao, Maolin Wang, Hayden Kwok-Hay So |
| 2023 | ICLR | A CMDP-within-online framework for Meta-Safe Reinforcement Learning. | Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin |
| 2022 | AISTATS | On the Global Optimum Convergence of Momentum-based Policy Gradient. | Yuhao Ding, Junzi Zhang, Javad Lavaei |
| 2022 | AISTATS | A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization. | Donghao Ying, Yuhao Ding, Javad Lavaei |
| 2020 | DAC | FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability. | Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding |
| 2020 | FPGA | FTDL: An FPGA-tailored Architecture for Deep Learning Systems. | Runbin Shi, Yuhao Ding, Xuechao Wei, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding |
| 2020 | ICS | CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. | Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang |