Tielong Liu

According to our database, Tielong Liu authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards efficient and accurate spiking neural networks via adaptive bit allocation.

Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Gang Li, Peisong Wang, Jian Cheng

Neural Networks, 2026

APEX: Integer-only Non-linear Function Approximation for Efficient Cross-Modal Inference.

Peihuan Ni, Zitao Mo, Tielong Liu, Hongli Wen, Zeyu Zhu, Minnan Pei, Junwen Si, Weifan Guan, Peisong Wang, Qinghao Hu, Gang Li, Jian Cheng

Proceedings of the Design, Automation & Test in Europe Conference, 2026

Boosting the Performance of Tree-Based Speculative Decoding of LLMs on FPGAs.

Tielong Liu, Gang Li, Zitao Mo, Zeyu Zhu, Minnan Pei, Jian Cheng

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

LISLLM: Long Context Inference of Large Language Models with Short KV Cache.

Tielong Liu, Gang Li, Zeyu Zhu, Zitao Mo, Xingting Yao, Jian Cheng

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

2023

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World.

Xingting Yao, Qinghao Hu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng

CoRR, 2023