Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
publications
Post-Training Quantization of OpenPangu Models for Efficient Deployment on Atlas A2
Published in arXiv preprint, 2025
Studies INT8 and W4A8 post-training quantization for deploying OpenPangu models efficiently on Huawei Atlas A2 NPUs.
Recommended citation: Yilun Luo, HuaQing Zheng, Haoqian Meng, Wenyuan Liu, and Peng Zhang. (2025). Post-Training Quantization of OpenPangu Models for Efficient Deployment on Atlas A2. arXiv:2512.23367.
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MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models
Published in ICLR 2026, 2026
Co-designs mixed MXFP4, MXFP6, and MXFP8 quantization with matrix multiplication kernels for efficient LLM inference.
Recommended citation: Wenyuan Liu, Haoqian Meng, Yilun Luo, Peng Zhang, and Xindian Ma. (2026). MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models. International Conference on Learning Representations (ICLR).
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SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference
Published in arXiv preprint, 2026
A training-free inference method that combines activation sparsity with FP4 quantization through an online sparse–dense decomposition.
Recommended citation: Haoqian Meng, Yilun Luo, Yafei Zhao, Wenyuan Liu, Huaqing Zheng, Xindian Ma, and Peng Zhang. (2026). SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference. arXiv:2606.26587.
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ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs
Published in ACL 2026, 2026
Augments activations with quantized residual channels to improve NVFP4 accuracy while retaining a unified format and efficient GEMM execution.
Recommended citation: Haoqian Meng, Yilun Luo, Yafei Zhao, Wenyuan Liu, Peng Zhang, and Xindian Ma. (2026). ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs. Proceedings of ACL 2026.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.