Tianren Ma

马天任

Ph.D. Candidate

Learning and Machine Perception Lab (LAMP)
School of Electronic, Electrical and Communication Engineering
University of Chinese Academy of Sciences (UCAS)
Beijing, China, 100083.

博士研究生

机器学习与感知实验室 (LAMP)
电子电气与通信工程学院
中国科学院大学 (UCAS)
中国，北京，100083

Email: matianren18##mails.ucas.ac.cn
Github: https://github.com/martian422

My Biography

I am a Ph.D. candidate of LAMP at UCAS, advised by Prof. Qixiang Ye.

I got my B.E. degree in UCAS in 2022.

Currently, I'm exploring multimodal model's generation and reinforcement learning methods with discrete structures.

I'm also interested in photography, graphic design, and musicals.

个人简介

我是中国科学院大学LAMP实验室的博士研究生，导师是叶齐祥教授。

2022年，我在中国科学院大学获得工学学士学位。

目前，我正在研究基于离散变量的多模态生成和强化学习办法。

我对摄影，平面设计以及音乐剧都很感兴趣。

Major Publications

主要论文

	Tianren Ma, Mu Zhang, Yibing Wang, Qixiang Ye Consolidating Reinforcement Learning For Multimodal Discrete Diffusion Models ICLR 2026. [Paper] [Code]
	Tianren Ma, Xiaosong Zhang, Boyu Yang, Junlan Feng, Qixiang Ye ReDDiT: Rehashing Noise for Discrete Visual Generation ICLR 2026. [Paper] [Code]
	Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Qixiang Ye ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension ICLR 2025. [Paper] [Code]
	Tianren Ma, Mingxiang Liao, Xijin Zhang, Qixiang Ye AceTone: Bridging Words and Colors for Conditional Image Grading CVPR 2026. [Paper] [Code]
	Mingxiang Liao, Tianren Ma, Xijin Zhang Open World Image Aesthetic Assessment CVPR 2026 Findings. [Paper] [Code]
	Yunjie Tian, Tianren Ma, Lingxi Xie, Qixiang Ye ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions AAAI 2025. [Paper] [Code]

Co-author Publications

其他论文

	Mu Zhang, Tianren Ma, Yunfan Liu, Kun Hu, Qixiang Ye RebRL: Reinforcing Discrete Visual Diffusion Models with Rebalanced Timestep Credits CVPR 2026. [Paper] [Code]
	Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David Doermann, Qixiang Ye, Yunjie Tian Artemis: Towards Referential Understanding in Complex Videos* NeurIPS 2024. [Paper] [Code]

* indicates equal contribution.

* 表示作者贡献相同。