Meng, Xiang

10 publications

ICLR 2026 Seeing What’s Wrong: A Trajectory-Guided Approach to Caption Error Detection Gabriel Afriat, Ryan Lucas, Xiang Meng, Yufang Hou, Yada Zhu, Rahul Mazumder

NeurIPS 2025 3BASiL: An Algorithmic Framework for Sparse Plus Low-Rank Compression of LLMs Mehdi Makni, Xiang Meng, Rahul Mazumder

NeurIPS 2025 TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks Xiang Meng, Mehdi Makni, Rahul Mazumder

NeurIPS 2024 ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder

AISTATS 2024 FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning Xiang Meng, Wenyu Chen, Riade Benbaki, Rahul Mazumder

ICML 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

NeurIPS 2024 SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Boquan Li, Feng Yu, Ning Zhang, Xiang Meng, Weiqing Huang

ICML 2023 Fast as CHITA: Neural Network Pruning with Combinatorial Optimization Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder

NeurIPSW 2022 Network Pruning at Scale: A Discrete Optimization Approach Wenyu Chen, Riade Benbaki, Xiang Meng, Rahul Mazumder

ICML 2022 Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features Rahul Mazumder, Xiang Meng, Haoyue Wang