Pingzhi Li

According to our database, Pingzhi Li authored at least 10 papers in 2024.

Collaborative distances:

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

2024

HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy.

Shuqing Luo, Jie Peng, Pingzhi Li, Tianlong Chen

CoRR, 2024

PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches.

Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun, Zhenyu Wang, Shahriar Nirjon, Chau-Wai Wong, Tianlong Chen

CoRR, 2024

Glider: Global and Local Instruction-Driven Expert Router.

Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen

CoRR, 2024

Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild.

Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen

CoRR, 2024

Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography.

Pingzhi Li, Tianlong Chen, Junyu Liu

CoRR, 2024

Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark.

Pingzhi Li, Xiaolong Jin, Yu Cheng, Tianlong Chen

CoRR, 2024

Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent.

Pingzhi Li, Junyu Liu, Hanrui Wang, Tianlong Chen

CoRR, 2024

Privacy-preserving Fine-tuning of Large Language Models through Flatness.

Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei

CoRR, 2024

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.

Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.

Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024