Zhaokai Wang

According to our database, Zhaokai Wang authored at least 25 papers between 2019 and 2025.

Collaborative distances:

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

2025

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models.

Gen Luo, Wenhan Dou, Wenhao Li, Zhaokai Wang, Xue Yang, Changyao Tian, Hao Li, Weiyun Wang, Wenhai Wang, Xizhou Zhu, Yu Qiao, Jifeng Dai

CoRR, July, 2025

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang

CoRR, April, 2025

Vision-to-Music Generation: A Survey.

Zhaokai Wang, Chenxi Bao, Le Zhuo, Jingrui Han, Yang Yue, Yihong Tang, Victor Shea-Jay Huang, Yue Liao

CoRR, March, 2025

TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation.

Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Peng Gao, Hongsheng Li

CoRR, March, 2025

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding.

Zhaokai Wang, Xizhou Zhu, Xue Yang, Gen Luo, Hao Li, Changyao Tian, Wenhan Dou, Junqi Ge, Lewei Lu, Yu Qiao, Jifeng Dai

CoRR, January, 2025

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training.

Gen Luo, Xue Yang, Wenhan Dou, Zhaokai Wang, Jiawen Liu, Jifeng Dai, Yu Qiao, Xizhou Zhu

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

SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding.

Hao Li, Changyao Tian, Jie Shao, Xizhou Zhu, Zhaokai Wang, Jinguo Zhu, Wenhan Dou, Xiao-Gang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai

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

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use.

Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu

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

2024

Drifting Ionospheric Scintillation Simulation for L-Band Geosynchronous SAR.

Feixiang Tang, Yifei Ji, Yongsheng Zhang, Zhen Dong, Zhaokai Wang, Qingjun Zhang, Bingji Zhao, Heli Gao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Multimodal Music Generation with Explicit Bridges and Retrieval Augmentation.

Baisen Wang, Le Zhuo, Zhaokai Wang, Chenxi Bao, Wu Chengjing, Xuecheng Nie, Jiao Dai, Jizhong Han, Yue Liao, Si Liu

CoRR, 2024

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning.

Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao

CoRR, 2024

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training.

Gen Luo, Xue Yang, Wenhan Dou, Zhaokai Wang, Jifeng Dai, Yu Qiao, Xizhou Zhu

CoRR, 2024

Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning.

Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma

CoRR, 2024

Parameter-Inverted Image Pyramid Networks.

Xizhou Zhu, Xue Yang, Zhaokai Wang, Hao Li, Wenhan Dou, Junqi Ge, Lewei Lu, Yu Qiao, Jifeng Dai

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

ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning.

Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma

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

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft.

Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai

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

2023

Video Background Music Generation: Dataset, Method and Evaluation.

Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Chenxi Bao, Stanley Peng, Songhao Han, Aixi Zhang, Fei Fang, Si Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Video Background Music Generation: Dataset, Method and Evaluation.

Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Stanley Peng, Chenxi Bao, Miao Lu, Xiaobo Li, Si Liu

CoRR, 2022

2021

Video Background Music Generation with Controllable Music Transformer.

Shangzhe Di, Zeren Jiang, Si Liu, Zhaokai Wang, Leyan Zhu, Zexin He, Hongming Liu, Shuicheng Yan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Confidence-aware Non-repetitive Multimodal Transformers for TextCaps.

Zhaokai Wang, Renda Bao, Qi Wu, Si Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

An adaptive template matching-based single object tracking algorithm with parallel acceleration.

Baicheng Yan, Limin Xiao, Hang Zhang, Daliang Xu, Li Ruan, Zhaokai Wang, Yiyang Zhang

J. Vis. Commun. Image Represent., 2019

An Efficient Density-Based Local Outlier Detection Approach for Scattered Data.

Shubin Su, Limin Xiao, Li Ruan, Fei Gu, Shupan Li, Zhaokai Wang, Rongbin Xu

IEEE Access, 2019

ADCMO: An Anomaly Detection Approach Based on Local Outlier Factor for Continuously Monitored Object.

Shubin Su, Limin Xiao, Li Ruan, Rongbin Xu, Shupan Li, Zhaokai Wang, Qigong He, Wei Li

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Deeper Monocular Depth Prediction via Long and Short Skip Connection.

Zhaokai Wang, Limin Xiao, Rongbin Xu, Shubin Su, Shupan Li, Yao Song

Proceedings of the International Joint Conference on Neural Networks, 2019

LogGOPSC: A Parallel Computation Model Extending Network Contention into LogGOPS.

Baicheng Yan, Yi Zhou, Limin Xiao, Jiantong Huo, Zhaokai Wang

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019