QTTNet: Quantized tensor train neural networks for 3D object and video recognition. - Donghyun Lee 002; Dingheng Wang; Yukuan Yang; Lei Deng 003; Guangshe Zhao; Guoqi Li (Neural Networks, 2021)

StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data. - Yuhang Li 001; Youngeun Kim; Donghyun Lee 002; Priyadarshini Panda (CoRR, 2023)

Policy Gradient-Based Core Placement Optimization for Multichip Many-Core Systems. - Wooshik Myung; Donghyun Lee 002; Chenhang Song; Guanrui Wang; Cheng Ma (IEEE Trans. Neural Networks Learn. Syst., 2023)

TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. - Donghyun Lee 002; Ruokai Yin; Youngeun Kim; Abhishek Moitra; Yuhang Li 001; Priyadarshini Panda (DATE, 2024)

GenQ: Quantization in Low Data Regimes with Generative Synthetic Data. - Yuhang Li 001; Youngeun Kim; Donghyun Lee 002; Souvik Kundu 009; Priyadarshini Panda (ECCV (13), 2024)

ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition. - Shiting Xiao; Yuhang Li 001; Youngeun Kim; Donghyun Lee 002; Priyadarshini Panda (CoRR, 2024)

Spiking Transformer with Spatial-Temporal Attention. - Donghyun Lee 002; Yuhang Li 001; Youngeun Kim; Shiting Xiao; Priyadarshini Panda (CVPR, 2025)

GPTQv2: Efficient Finetuning-Free Quantization for Asymmetric Calibration. - Yuhang Li 001; Ruokai Yin; Donghyun Lee 002; Shiting Xiao; Priyadarshini Panda (CoRR, 2025)

Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba. - Donghyun Lee 002; Yuhang Li 001; Ruokai Yin; Shiting Xiao; Priyadarshini Panda (CoRR, 2025)

DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs. - Ruokai Yin; Yuhang Li 001; Donghyun Lee 002; Priyadarshini Panda (CoRR, 2025)

OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts. - Shiting Xiao; Rishabh Kabra; Yuhang Li 001; Donghyun Lee 002; João Carreira 001; Priyadarshini Panda (CoRR, 2025)