Xiaoxin Chen

According to our database, Xiaoxin Chen authored at least 36 papers between 2019 and 2026.

Collaborative distances:

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

2026

SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning.

Jichao Wang, Liuyang Bian, Yufeng Zhou, Han Xiao, Yue Pan, Guozhi Wang, Hao Wang, Zhaoxiong Wang, Yafei Wen, Xiaoxin Chen, Shuai Ren, Lingfang Zeng

CoRR, April, 2026

Caption First, VQA Second: Knowledge Density, Not Task Format, Drives Multimodal Scaling.

Hongjian Zou, Yue Ge, Qi Ding, Yixuan Liao, Xiaoxin Chen

CoRR, April, 2026

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents.

Hao Wang, Guozhi Wang, Han Xiao, Yufeng Zhou, Yue Pan, Jichao Wang, Ke Xu, Yafei Wen, Xiaohu Ruan, Xiaoxin Chen, Honggang Qi

CoRR, April, 2026

UI-Mem: Self-Evolving Experience Memory for Online Reinforcement Learning in Mobile GUI Agents.

Han Xiao, Guozhi Wang, Hao Wang, Shilong Liu, Yuxiang Chai, Yue Pan, Yufeng Zhou, Xiaoxin Chen, Yafei Wen, Hongsheng Li

CoRR, February, 2026

Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts.

Yujie Lin, Kunquan Li, Yixuan Liao, Xiaoxin Chen, Jinsong Su

CoRR, February, 2026

LENS: Learning to Segment Anything with Unified Reinforced Reasoning.

Lianghui Zhu, Bin Ouyang, Yuxuan Zhang, Tianheng Cheng, Rui Hu, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Li Yu, Wenyu Liu, Xinggang Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VideoChat-M1: Collaborative Policy Planning for Video Understanding via Multi-Agent Reinforcement Learning.

Boyu Chen, Zikang Wang, Zhengrong Yue, Kainan Yan, Chenyun Yu, Yi Huang, Zijun Liu, Yafei Wen, Xiaoxin Chen, Yang Liu, Peng Li, Yali Wang

CoRR, November, 2025

BlueLM-2.5-3B Technical Report.

Baojiao Xiong, Boheng Chen, Chengzhi Wang, Daxiong Luo, Dongsheng Xu, Dongyang Liu, Fan Yang, Fangyuan Li, Fei Teng, Feng Wang, Fukang Qin, Fuquan Peng, Guanxin Tan, Guozhi Wang, Haibo Yu, Haohao Gao, Heng Liu, Hongbo Yang, Hongjian Zou, Houzheng Shen, Hu Meng, Huan Li, Hui Tan, Jiali Chen, Jianzhao Chen, Jinliang Zhu, Kai Wang, Lei Wu, Liangbing Liu, Liuyang Bian, Liyan He, Long Liu, Peiwen Li, Penggang Shi, Qi Ding, Rui Hu, Shuai Cao, Shuai Ren, Shuang Peng, Teng Xie, Weiji Chen, Weilin Xiang, Weixin Wu, Xi Yin, Xiaoxin Chen, Xu Chen, Yafei Wen, Yan Hu, Yanzhou Yang, Yina Xie, Yinghao Chen, Yixuan Liao, Yu Geng, Yuanjiang Ouyang, Yuanzhuo Yang, Yuehua He, Yushuai Peng, Zhaoxiong Wang, Zheng Wang, Zhibo Zhou, Ziyang Wu

CoRR, July, 2025

UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents.

Han Xiao, Guozhi Wang, Yuxiang Chai, Zimu Lu, Weifeng Lin, Hao He, Lue Fan, Liuyang Bian, Rui Hu, Liang Liu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Aojun Zhou, Hongsheng Li

CoRR, May, 2025

PixelHacker: Image Inpainting with Structural and Semantic Consistency.

Ziyang Xu, Kangsheng Duan, Xiaolei Shen, Zhifeng Ding, Wenyu Liu, Xiaohu Ruan, Xiaoxin Chen, Xinggang Wang

CoRR, April, 2025

Progressive Visual Prompt Learning with Contrastive Feature Re-formation.

Chen Xu, Yuhan Zhu, Haocheng Shen, Boheng Chen, Yixuan Liao, Xiaoxin Chen, Limin Wang

Int. J. Comput. Vis., February, 2025

FCGhead: Fully Controllable Gaussian Human Heads from Monocular Videos.

Yixin Xuan, Xinyang Li, Gongxin Yao, Shiwei Zhou, Donghui Sun, Xiaoxin Chen, Yu Pan

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2025

Predictive Data Selection: The Data That Predicts Is the Data That Teaches.

KaShun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ControlAR: Controllable Image Generation with Autoregressive Models.

Zongming Li, Tianheng Cheng, Shoufa Chen, Peize Sun, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GenieBlue: Integrating Both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices.

Xudong Lu, Yinghao Chen, Renshou Wu, Haohao Gao, Xi Chen, Xue Yang, Xiangyu Zhao, Aojun Zhou, Fangyuan Li, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding.

Rui Hu, Lianghui Zhu, Yuxuan Zhang, Tianheng Cheng, Lei Liu, Heng Liu, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models.

Min Zeng, Jingfei Sun, Xueyou Luo, Shiqi Zhang, Li Xie, Caiquan Liu, Xiaoxin Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SmartBench: Is Your LLM Truly a Good Chinese Smartphone Assistant?

Xudong Lu, Haohao Gao, Renshou Wu, Shuai Ren, Xiaoxin Chen, Hongsheng Li, Fangyuan Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices.

Xudong Lu, Yinghao Chen, Cheng Chen, Hui Tan, Boheng Chen, Yina Xie, Rui Hu, Guanxin Tan, Renshou Wu, Yan Hu, Yi Zeng, Lei Wu, Liuyang Bian, Zhaoxiong Wang, Long Liu, Yanzhou Yang, Han Xiao, Aojun Zhou, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

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

Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding.

Han Xiao, Yina Xie, Guanxin Tan, Yinghao Chen, Rui Hu, Ke Wang, Aojun Zhou, Hao Li, Hao Shao, Xudong Lu, Peng Gao, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

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

Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy.

Min Zeng, Caiquan Liu, Shiqi Zhang, Li Xie, Chen Sang, Xiaoxin Chen

Proceedings of the 31st International Conference on Computational Linguistics, 2025

EdgeInfinite: A Memory-Efficient Infinite-Context Transformer for Edge Devices.

Jiyu Chen, Shuang Peng, Daxiong Luo, Fan Yang, Renshou Wu, Fangyuan Li, Xiaoxin Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models.

Zhihao Wang, Shiyu Liu, Jianheng Huang, Zheng Wang, Yixuan Liao, Xiaoxin Chen, Junfeng Yao, Jinsong Su

CoRR, 2024

Efficient Test-Time Prompt Tuning for Vision-Language Models.

Yuhan Zhu, Guozhen Zhang, Chen Xu, Haocheng Shen, Xiaoxin Chen, Gangshan Wu, Limin Wang

CoRR, 2024

EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model.

Yuxuan Zhang, Tianheng Cheng, Rui Hu, Lei Liu, Heng Liu, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang

CoRR, 2024

FAGhead: Fully Animate Gaussian Head from Monocular Videos.

Yixin Xuan, Xinyang Li, Gongxin Yao, Shiwei Zhou, Donghui Sun, Xiaoxin Chen, Yu Pan

CoRR, 2024

DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction.

Fangchen Yu, Yina Xie, Lei Wu, Yafei Wen, Guozhi Wang, Shuai Ren, Xiaoxin Chen, Jianfeng Mao, Wenye Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models.

Zhihao Wang, Shiyu Liu, Jianheng Huang, Wang Zheng, Yixuan Liao, Xiaoxin Chen, Junfeng Yao, Jinsong Su

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning.

Jiaxi Lv, Yi Huang, Mingfu Yan, Jiancheng Huang, Jianzhuang Liu, Yifan Liu, Yafei Wen, Xiaoxin Chen, Shifeng Chen

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

2023

ImageBind-LLM: Multi-modality Instruction Tuning.

Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, Yu Qiao

CoRR, 2023

DPL: Decoupled Prompt Learning for Vision-Language Models.

Chen Xu, Yuhan Zhu, Guozhen Zhang, Haocheng Shen, Yixuan Liao, Xiaoxin Chen, Gangshan Wu, Limin Wang

CoRR, 2023

Progressive Visual Prompt Learning with Contrastive Feature Re-formation.

Chen Xu, Haocheng Shen, Fengyuan Shi, Boheng Chen, Yixuan Liao, Xiaoxin Chen, Limin Wang

CoRR, 2023

Real-Time Image Demoiréing on Mobile Devices.

Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Shuai Ren, Yafei Wen, Xiaoxin Chen, Rongrong Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

EEM: An End-to-end Evaluation Metric for Scene Text Detection and Recognition.

Jiedong Hao, Yafei Wen, Jie Deng, Jun Gan, Shuai Ren, Hui Tan, Xiaoxin Chen

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Weakly-Supervised Instance Segmentation via Class-Agnostic Learning With Salient Images.

Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Hierarchical Reinforcement Learning for Multi-agent MOBA Game.

Zhijian Zhang, Haozheng Li, Luo Zhang, Tianyin Zheng, Ting Zhang, Xiong Hao, Xiaoxin Chen, Min Chen, Fangxu Xiao, Wei Zhou

CoRR, 2019