Tian Tang

According to our database, Tian Tang authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR.

Yiqi Zhang, Fangzheng Jiao, Tian Tang, Boyu Tian, Hangyu Wang, Qiaoling Chen, Guoteng Wang, Zhen Jiang, Peng Sun, Ping Zhang, Xiaohe Hu, Ziming Liu, Menghao Zhang, Yanmin Jia, Yang You, Siyuan Feng

CoRR, May, 2026

CONCUR: High-Throughput Agentic Batch Inference of LLM via Congestion-Based Concurrency Control.

Qiaoling Chen, Zhisheng Ye, Tian Tang, Peng Sun, Boyu Tian, Guoteng Wang, Shenggui Li, Yonggang Wen, Zhenhua Han, Tianwei Zhang

CoRR, January, 2026

CROPHE: Cross-Operator Dataflow Optimization for Fully Homomorphic Encryption Accelerators.

Xinhua Chen, Jiangbin Dong, Hongren Zheng, Tian Tang, Mingyu Gao

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving.

Ziming Liu, Boyu Tian, Guoteng Wang, Zhen Jiang, Peng Sun, Zhenhua Han, Tian Tang, Xiaohe Hu, Yanmin Jia, Yan Zhang, He Liu, Mingjun Zhang, Yiqi Zhang, Qiaoling Chen, Shenggan Cheng, Mingyu Gao, Yang You, Siyuan Feng

CoRR, September, 2025

Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs.

Kan Zhu, Tian Tang, Qinyu Xu, Yile Gu, Zhichen Zeng, Rohan Kadekodi, Liangyu Zhao, Ang Li, Arvind Krishnamurthy, Baris Kasikci

CoRR, February, 2025

Twilight: Adaptive Attention Sparsity with Hierarchical Top-<i>p</i> Pruning.

Chaofan Lin, Jiaming Tang, Shuo Yang, Hanshuo Wang, Tian Tang, Boyu Tian, Ion Stoica, Song Han, Mingyu Gao

CoRR, February, 2025

Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning.

Chaofan Lin, Jiaming Tang, Shuo Yang, Hanshuo Wang, Tian Tang, Boyu Tian, Ion Stoica, Song Han, Mingyu Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models.

Keisuke Kamahori, Tian Tang, Yile Gu, Kan Zhu, Baris Kasikci

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

NanoFlow: Towards Optimal Large Language Model Serving Throughput.

Kan Zhu, Yilong Zhao, Liangyu Zhao, Gefei Zuo, Yile Gu, Dedong Xie, Yufei Gao, Qinyu Xu, Tian Tang, Zihao Ye, Keisuke Kamahori, Chien-Yu Lin, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci

CoRR, 2024