Minjie Hong

According to our database, Minjie Hong authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark.

Ruofan Hu, Menghui Zhu, Jieming Zhu, Bo Chen, Shengyang Xu, Minjie Hong, Xiaoda Yang, Sashuai Zhou, Li Tang, Tao Jin, Zhou Zhao

CoRR, May, 2026

Diffusion Model as a Generalist Segmentation Learner.

Haoxiao Wang, Antao Xiang, Haiyang Sun, Peilin Sun, Changhao Pan, Yifu Chen, Minjie Hong, Weijie Wang, Shuang Chen, Yue Chen, Zhou Zhao

CoRR, April, 2026

DUET: Joint Exploration of User Item Profiles in Recommendation System.

Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yifei Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Yudong Zhang

CoRR, April, 2026

DiagramGPT-Llama3: Enabling Editable, High-Fidelity Diagram Generation with Vision Large Language Models.

Yongyuan Chen, Minjie Hong, Boxi Wu, Xicheng Han

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Thinking with Programming Vision: Towards a Unified View for Thinking with Images.

Zirun Guo, Minjie Hong, Feng Zhang, Kai Jia, Tao Jin

CoRR, December, 2025

Generative Reasoning Recommendation via LLMs.

Minjie Hong, Zetong Zhou, Zirun Guo, Ziang Zhang, Ruofan Hu, Weinan Gan, Jieming Zhu, Zhou Zhao

CoRR, October, 2025

DSI-Bench: A Benchmark for Dynamic Spatial Intelligence.

Ziang Zhang, Zehan Wang, Guanghao Zhang, Weilong Dai, Yan Xia, Ziang Yan, Minjie Hong, Zhou Zhao

CoRR, October, 2025

APO: Enhancing Reasoning Ability of MLLMs via Asymmetric Policy Optimization.

Minjie Hong, Zirun Guo, Yan Xia, Zehan Wang, Ziang Zhang, Tao Jin, Zhou Zhao

CoRR, June, 2025

Observe-R1: Unlocking Reasoning Abilities of MLLMs with Dynamic Progressive Reinforcement Learning.

Zirun Guo, Minjie Hong, Tao Jin

CoRR, May, 2025

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration.

Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao

Proceedings of the ACM on Web Conference 2025, 2025

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval.

Ruofan Hu, Yan Xia, Minjie Hong, Jieming Zhu, Bo Chen, Xiaoda Yang, Minghui Fang, Tao Jin

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces.

Zehan Wang, Ziang Zhang, Minjie Hong, Hang Zhang, Luping Liu, Rongjie Huang, Xize Cheng, Shengpeng Ji, Tao Jin, Hengshuang Zhao, Zhou Zhao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.

Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AudioVSR: Enhancing Video Speech Recognition with Audio Data.

Xiaoda Yang, Xize Cheng, Jiaqi Duan, Hongshun Qiu, Minjie Hong, Minghui Fang, Shengpeng Ji, Jialong Zuo, Zhiqing Hong, Zhimeng Zhang, Tao Jin

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

2023

The Shifting Role of Government in Government Data Openness.

Siqi Tao, Yuan Xin, Zhao Li, Minjie Hong

Proceedings of the Big Data - BigData 2023, 2023