Xiang Meng

According to our database, Xiang Meng authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models.

Ryan Lucas, Mehdi Makni, Xiang Meng, Adam Deng, Rahul Mazumder

CoRR, May, 2026

MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models.

Gabriel Afriat, Xiang Meng, Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder

CoRR, April, 2026

Computation of Least Trimmed Squares: A Branch-and-Bound framework with Hyperplane Arrangement Enhancements.

Xiang Meng, Andrés Gómez, Rahul Mazumder

CoRR, April, 2026

2025

TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks.

Xiang Meng, Mehdi Makni, Rahul Mazumder

CoRR, May, 2025

TSENOR: Highly-Efficient Algorithm for Finding Transposable N: M Sparse Masks.

Xiang Meng, Mehdi Makni, Rahul Mazumder

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

3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs.

Mehdi Makni, Xiang Meng, Rahul Mazumder

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

2024

ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models.

Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization.

Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder

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

FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning.

Xiang Meng, Wenyu Chen, Riade Benbaki, Rahul Mazumder

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

An exact penalty approach for optimization with nonnegative orthogonality constraints.

Bo Jiang, Xiang Meng, Zaiwen Wen, Xiaojun Chen

Math. Program., March, 2023

Fast as CHITA: Neural Network Pruning with Combinatorial Optimization.

Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder

Proceedings of the International Conference on Machine Learning, 2023

2022

Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features.

Rahul Mazumder, Xiang Meng, Haoyue Wang

Proceedings of the International Conference on Machine Learning, 2022

2019

Robust Control Optimization for Quantum Approximate Optimization Algorithm.

Yulong Dong, Xiang Meng, Lin Lin, Robert Kosut, K. Birgitta Whaley

CoRR, 2019