| 2025 | ASPDAC | NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks. | Haomin Li, Fangxin Liu, Zewen Sun, Zongwu Wang, Shiyuan Huang, Ning Yang, Li Jiang |
| 2025 | ASPDAC | Exploiting Differential-Based Data Encoding for Enhanced Query Efficiency. | Fangxin Liu, Zongwu Wang, Peng Xu, Shiyuan Huang, Li Jiang |
| 2025 | DATE | TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism. | Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang |
| 2025 | HPCA | CROSS: Compiler-Driven Optimization of Sparse DNNs Using Sparse/Dense Computation Kernels. | Fangxin Liu, Shiyuan Huang, Ning Yang, Zongwu Wang, Haomin Li, Li Jiang |
| 2025 | ISCA | FATE: Boosting the Performance of Hyper-Dimensional Computing Intelligence with Flexible Numerical DAta TypE. | Haomin Li, Fangxin Liu, Yichi Chen, Zongwu Wang, Shiyuan Huang, Ning Yang, Dongxu Lyu, Li Jiang |
| 2024 | ASPDAC | TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation. | Shiyuan Huang, Fangxin Liu, Tian Li, Zongwu Wang, Haomin Li, Li Jiang |
| 2024 | DAC | INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding. | Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | EMNLP | Personalized Video Comment Generation. | Xudong Lin, Ali Zare, Shiyuan Huang, Ming-Hsuan Yang, Shih-Fu Chang, Li Zhang |
| 2024 | ISLPED | LowPASS: A Low power PIM-based accelerator with Speculative Scheme for SNNs. | Fangxin Liu, Shiyuan Huang, Longyu Zhao, Li Jiang, Zongwu Wang |
| 2024 | MICRO | COMPASS: SRAM-Based Computing-in-Memory SNN Accelerator with Adaptive Spike Speculation. | Zongwu Wang, Fangxin Liu, Ning Yang, Shiyuan Huang, Haomin Li, Li Jiang |
| 2023 | CVPR | Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval. | Xudong Lin, Simran Tiwari, Shiyuan Huang, Manling Li, Mike Zheng Shou, Heng Ji, Shih-Fu Chang |
| 2023 | CVPR | Supervised Masked Knowledge Distillation for Few-Shot Transformers. | Han Lin, Guangxing Han, Jiawei Ma, Shiyuan Huang, Xudong Lin, Shih-Fu Chang |
| 2023 | CVPR | DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection. | Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang |
| 2023 | ICLR | TempCLR: Temporal Alignment Representation with Contrastive Learning. | Yuncong Yang, Jiawei Ma, Shiyuan Huang, Long Chen, Xudong Lin, Guangxing Han, Shih-Fu Chang |
| 2022 | AAAI | Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. | Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang |
| 2022 | CVPR | Few-Shot Object Detection with Fully Cross-Transformer. | Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Shih-Fu Chang |
| 2022 | CVPR | Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition. | Shiyuan Huang, Jiawei Ma, Guangxing Han, Shih-Fu Chang |
| 2022 | ECCV | Video in 10 Bits: Few-Bit VideoQA for Efficiency and Privacy. | Shiyuan Huang, Robinson Piramuthu, Shih-Fu Chang, Gunnar A. Sigurdsson |
| 2022 | ECCV | Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding Across Heads. | Jiawei Ma, Guangxing Han, Shiyuan Huang, Yuncong Yang, Shih-Fu Chang |
| 2021 | ICCV | Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks. | Guangxing Han, Yicheng He, Shiyuan Huang, Jiawei Ma, Shih-Fu Chang |
| 2018 | ICIP | Pyramid Structured Optical Flow Learning with Motion Cues. | Ji Dai, Shiyuan Huang, Truong Nguyen |