Tang, Hao

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning

Kong, Z., Dong, P., Ma, X., Meng, X., Niu, W., Sun, M., Shen, X., Yuan, G., Ren, B., Tang, H., et al. (2022) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 169

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

Li, Z., Sun, M., Lu, A., Ma, H., Yuan, G., Xie, Y., Tang, H., Li, Y., Leeser, M., Wang, Z., et al. (2022) · 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 85

Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language to Multimodality

Kong, Z., Li, Y., Zeng, F., Xin, L., Messica, S., Lin, X., Zhao, P., Kellis, M., Tang, H., & Zitnik, M. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 51

Bidirectional Transformer GAN for Long-term Human Motion Prediction

Zhao, M., Tang, H., Xie, P., Dai, S., Sebe, N., & Wang, W. (2023) · ACM Transactions on Multimedia Computing, Communications, and Applications

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 38

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Zhang, X., Quan, Y., Shen, C., Yuan, X., Yan, S., Xie, L., Wang, W., Gu, C., Tang, H., & Ye, J. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 26

PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile

Dong, P., Lu, L., Wu, C., Lyu, C., Yuan, G., Tang, H., & Wang, Y. (2023) · Advances in Neural Information Processing Systems 36

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 7

UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface

Tang, H., Xie, C., Wang, H., Bao, X., Weng, T., Li, P., Zheng, Y., & Wang, L. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 3

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory

Liu, J., Kong, Z., Yang, C., Yang, F., Li, T., Dong, P., Nanjekye, J., Tang, H., Yuan, G., Niu, W., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

MMA: Multimodal Memory Agent

Lu, Y., Cheng, W., Zhang, Z., & Tang, H. (2026) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 0