Jianhua Han

According to our database, Jianhua Han authored at least 47 papers between 2008 and 2024.

Collaborative distances:

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

2024

LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model.

Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu

CoRR, 2024

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning.

Bingqian Lin, Yunshuang Nie, Ziming Wei, Jiaqi Chen, Shikui Ma, Jianhua Han, Hang Xu, Xiaojun Chang, Xiaodan Liang

CoRR, 2024

From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs.

Yulong Liu, Yunlong Yuan, Chunwei Wang, Jianhua Han, Yongqiang Ma, Li Zhang, Nanning Zheng, Hang Xu

CoRR, 2024

Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models.

Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li

CoRR, 2024

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images.

Qingping Zheng, Yuanfan Guo, Jiankang Deng, Jianhua Han, Ying Li, Songcen Xu, Hang Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion.

Guansong Lu, Yuanfan Guo, Jianhua Han, Minzhe Niu, Yihan Zeng, Songcen Xu, Zeyi Huang, Zhao Zhong, Wei Zhang, Hang Xu

CoRR, 2023

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.

Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong

CoRR, 2023

Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving.

Ming Nie, Renyuan Peng, Chunwei Wang, Xinyue Cai, Jianhua Han, Hang Xu, Li Zhang

CoRR, 2023

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.

Zhili Liu, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James T. Kwok

CoRR, 2023

HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving.

Xinpeng Ding, Jianhua Han, Hang Xu, Wei Zhang, Xiaomeng Li

CoRR, 2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.

Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang

CoRR, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.

Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu

CoRR, 2023

MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation.

Xiwen Liang, Liang Ma, Shanshan Guo, Jianhua Han, Hang Xu, Shikui Ma, Xiaodan Liang

CoRR, 2023

Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards.

Guian Fang, Zutao Jiang, Jianhua Han, Guansong Lu, Hang Xu, Xiaodan Liang

CoRR, 2023

Towards Universal Vision-language Omni-supervised Segmentation.

Bowen Dong, Jiaxi Gu, Jianhua Han, Hang Xu, Wangmeng Zuo

CoRR, 2023

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.

Zhili Liu, Kai Chen, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, James T. Kwok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.

Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu

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

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.

Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang

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

DetGPT: Detect What You Need via Reasoning.

Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data.

Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

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

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment.

Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu

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

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining.

Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang

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

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving.

Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

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

NLIP: Noise-Robust Language-Image Pre-training.

Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

P³OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.

Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang

CoRR, 2022

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection.

Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving.

Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generative Negative Text Replay for Continual Vision-Language Pretraining.

Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He

Proceedings of the Computer Vision - ECCV 2022, 2022

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding.

Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang

Proceedings of the Computer Vision - ECCV 2022, 2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.

Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

ONCE-3DLanes: Building Monocular 3D Lane Detection.

Fan Yan, Ming Nie, Xinyue Cai, Jianhua Han, Hang Xu, Zhen Yang, Chaoqiang Ye, Yanwei Fu, Michael Bi Mi, Li Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.

Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Laneformer: Object-Aware Row-Column Transformers for Lane Detection.

Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

CoRR, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019

Order-aware Embedding Neural Network for CTR Prediction.

Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning.

Jianhua Han, Yong Yu, Feng Liu, Ruiming Tang, Yuzhou Zhang

Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2017

Aggregating Crowd Wisdoms with Label-aware Autoencoders.

Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Label Aggregation with Instance Grouping Model.

Li'ang Yin, Jianhua Han, Yong Yu

Proceedings of the 25th International Conference on World Wide Web, 2016

Aggregating Crowd Wisdom with Instance Grouping Methods.

Li'ang Yin, Zhengbo Li, Jianhua Han, Yong Yu

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2014

Fault-Tolerant Control, Fault Diagnosis and Recovery in Runtime of Business Docking Service Composition Flow in the Cloud Environment.

Jianhua Han, Silu He, Hengxin Li, Jianping Huang

Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

2013

A study on the scalable flow model of web services choreography and orchestration based on dynamic workflow.

Jianhua Han, Yuan Luo, Jianping Huang

Int. J. Inf. Commun. Technol., 2013

2011

Construction and Application of the Merging Network Teaching Platform.

Jianhua Han, Shanshan Du, Jikui Wen

Proceedings of the Frontiers in Computer Education [International Conference on Frontiers in Computer Education, 2011

2010

A study on academic performance and interpersonal interactions based on network.

Jianhua Han, Jikui Wen, Xiaojun Zhao

Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010

A New Network Collaborative Manufacturing Based on the STEP-NC.

Jianhua Han, Juan Du, Xianguo Yan

Proceedings of the International Conference on Computational Aspects of Social Networks, 2010

2008

Cooperative Petition Processing Model Based on Dynamic Workflow Management.

Jianhua Han, Weihua Li

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008