Xinyin Ma

According to our database, Xinyin Ma authored at least 31 papers between 2020 and 2025.

Collaborative distances:

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

2025

ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation.

Siao Tang, Xinyin Ma, Gongfan Fang, Xinchao Wang

CoRR, June, 2025

VeriThinker: Learning to Verify Makes Reasoning Model Efficient.

Zigeng Chen, Xinyin Ma, Gongfan Fang, Ruonan Yu, Xinchao Wang

CoRR, May, 2025

Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding.

Runpeng Yu, Xinyin Ma, Xinchao Wang

CoRR, May, 2025

dKV-Cache: The Cache for Diffusion Language Models.

Xinyin Ma, Runpeng Yu, Gongfan Fang, Xinchao Wang

CoRR, May, 2025

Thinkless: LLM Learns When to Think.

Gongfan Fang, Xinyin Ma, Xinchao Wang

CoRR, May, 2025

Efficient Reasoning Models: A Survey.

Sicheng Feng, Gongfan Fang, Xinyin Ma, Xinchao Wang

CoRR, April, 2025

Introducing Visual Perception Token into Multimodal Large Language Model.

Runpeng Yu, Xinyin Ma, Xinchao Wang

CoRR, February, 2025

Diffusion Model is Effectively Its Own Teacher.

Xinyin Ma, Runpeng Yu, Songhua Liu, Gongfan Fang, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

TinyFusion: Diffusion Transformers Learned Shallow.

Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient.

Zigeng Chen, Xinyin Ma, Gongfan Fang, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CoT-Valve: Length-Compressible Chain-of-Thought Tuning.

Xinyin Ma, Guangnian Wan, Runpeng Yu, Gongfan Fang, Xinchao Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching.

Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising.

Gongfan Fang, Xinyin Ma, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising.

Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SlimSAM: 0.1% Data Makes Segment Anything Slim.

Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis.

Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Isomorphic Pruning for Vision Models.

Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

DeepCache: Accelerating Diffusion Models for Free.

Xinyin Ma, Gongfan Fang, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

0.1% Data Makes Segment Anything Slim.

Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang

CoRR, 2023

LLM-Pruner: On the Structural Pruning of Large Language Models.

Xinyin Ma, Gongfan Fang, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structural Pruning for Diffusion Models.

Gongfan Fang, Xinyin Ma, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DepGraph: Towards Any Structural Pruning.

Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.

Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction.

Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu

Proceedings of the WWW '21: The Web Conference 2021, 2021

MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations.

Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition.

Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Enrich cross-lingual entity links for online wikis via multi-modal semantic matching.

Weiming Lu, Peng Wang, Xinyin Ma, Wei Xu, Chen Chen

Inf. Process. Manag., 2020

Boosting Cross-lingual Entity Alignment with Textual Embedding.

Wei Xu, Chen Chen, Chenghao Jia, Yongliang Shen, Xinyin Ma, Weiming Lu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network.

Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SynET: Synonym Expansion using Transitivity.

Jiale Yu, Yongliang Shen, Xinyin Ma, Chenghao Jia, Chen Chen, Weiming Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Adversarial Self-Supervised Data-Free Distillation for Text Classification.

Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020