Hao Shao

According to our database, Hao Shao authored at least 60 papers between 1999 and 2024.

Collaborative distances:

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

2024

An Adaptive Semantic Mining Framework for Heterogeneous Information Network Embedding.

Hao Shao, Rangang Zhu, Hui Liu, Lunwen Wang

IEEE Trans. Comput. Soc. Syst., February, 2024

SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction.

Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu

CoRR, 2024

MoVA: Adapting Mixture of Vision Experts to Multimodal Context.

Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu

CoRR, 2024

Visual CoT: Unleashing Chain-of-Thought Reasoning in Multi-Modal Language Models.

Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li

CoRR, 2024

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

Peng Gao, Renrui Zhang, Chris Liu, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao

CoRR, 2024

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction.

Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu

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

LMDrive: Closed-Loop End-to-End Driving with Large Language Models.

Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L. Waslander, Yu Liu, Hongsheng Li

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

Polyper: Boundary Sensitive Polyp Segmentation.

Hao Shao, Yang Zhang, Qibin Hou

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

2023

Link prediction for heterogeneous information networks based on enhanced meta-path aggregation and attention mechanism.

Hao Shao, Lunwen Wang, Rangang Zhu

Int. J. Mach. Learn. Cybern., September, 2023

Deep Classification with Linearity-Enhanced Logits to Softmax Function.

Hao Shao, Shunfang Wang

Entropy, 2023

MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention.

Hao Shao, Quansheng Zeng, Qibin Hou, Jufeng Yang

CoRR, 2023

LMDrive: Closed-Loop End-to-End Driving with Large Language Models.

Hao Shao, Yuxuan Hu, Letian Wang, Steven L. Waslander, Yu Liu, Hongsheng Li

CoRR, 2023

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.

Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

ReasonNet: End-to-End Driving with Temporal and Global Reasoning.

Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu

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

2022

Leaning compact and representative features for cross-modality person re-identification.

Guangwei Gao, Hao Shao, Fei Wu, Meng Yang, Yi Yu

World Wide Web, 2022

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer.

Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu

Proceedings of the Conference on Robot Learning, 2022

2021

Kansei evaluation for group of users: A data-driven approach using dominance-based rough sets.

Fu Guo, Mingcai Hu, Vincent G. Duffy, Hao Shao, Zenggen Ren

Adv. Eng. Informatics, 2021

Communication Emitter Motion Behavior's Cognition Based on Deep Reinforcement Learning.

Yufan Ji, Jiang Wang, Weilu Wu, Lunwen Wang, Chuang Peng, Hao Shao

IEEE Access, 2021

Blending Anti-Aliasing into Vision Transformer.

Shengju Qian, Hao Shao, Yi Zhu, Mu Li, Jiaya Jia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

How User's First Impression Forms on Mobile user Interface?: An ERPs Study.

Fu Guo, Xue-shuang Wang, Hao Shao, Xiao-Rong Wang, Weilin Liu

Int. J. Hum. Comput. Interact., 2020

Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020.

Haisheng Su, Jinyuan Feng, Hao Shao, Zhenyu Jiang, Manyuan Zhang, Wei Wu, Yu Liu, Hongsheng Li, Junjie Yan

CoRR, 2020

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020.

Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu

CoRR, 2020

Top-1 Solution of Multi-Moments in Time Challenge 2019.

Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan

CoRR, 2020

Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA.

Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin

CoRR, 2020

A Method for LSTM-Based Trajectory Modeling and Abnormal Trajectory Detection.

Yufan Ji, Lunwen Wang, Weilu Wu, Hao Shao, Yanqing Feng

IEEE Access, 2020

Temporal Interlacing Network.

Hao Shao, Shengju Qian, Yu Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Query by diverse committee in transfer active learning.

Hao Shao

Frontiers Comput. Sci., 2019

CCKS 2019 Shared Task on Inter-Personal Relationship Extraction.

Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang

CoRR, 2019

Syntax-aware entity representations for neural relation extraction.

Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang

Artif. Intell., 2019

Link Prediction Algorithms for Social Networks Based on Machine Learning and HARP.

Hao Shao, Lunwen Wang, Yufan Ji

IEEE Access, 2019

Analysis of Temperature Field and Water Cooling of Outer Rotor In-Wheel Motor for Electric Vehicle.

Qiping Chen, Hao Shao, Juanlin Huang, Haoyu Sun, Jiachao Xie

IEEE Access, 2019

Subject Recognition in Chinese Sentences for Chatbots.

Fangyuan Li, Huanhuan Wei, Qiangda Hao, Ruihong Zeng, Hao Shao, Wenliang Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2019

2018

Design of a High-Isolation n-Way Power Combiner Based on a 2n + 1 Port Mode Network.

Letian Guo, Jiawei Li, Wenhua Huang, Hao Shao, Tao Ba

IEEE Access, 2018

High-Efficiency, Broadband Converter From A Rectangular Waveguide TE₁₀ Mode to A Circular Waveguide TM₀₁ Mode for Overmoded Device Measurement.

Xinhong Cui, Gang Wang, Tingyong Jiang, Hao Shao, Jun Sun, Xiaolong Wu, Xianchen Bai, Xiaowei Zhang, Zhiqiang Zhang

IEEE Access, 2018

2017

Active Learning for Text Mining from Crowds.

Hao Shao

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016

Kernel methods for transfer learning to avoid negative transfer.

Hao Shao

Int. J. Comput. Sci. Math., 2016

2014

Transfer dimensionality reduction by Gaussian process in parallel.

Bin Tong, Junbin Gao, Thach Huy Nguyen, Hao Shao, Einoshin Suzuki

Knowl. Inf. Syst., 2014

Transfer active learning by querying committee.

Hao Shao, Feng Tao, Rui Xu

J. Zhejiang Univ. Sci. C, 2014

A survey of two-dimensional scheduling.

Hao Shao, Rui Xu, Feng Tao, Huaping Chen

Int. J. Manuf. Res., 2014

2013

Extended MDL principle for feature-based inductive transfer learning.

Hao Shao, Bin Tong, Einoshin Suzuki

Knowl. Inf. Syst., 2013

A feature-free and parameter-light multi-task clustering framework.

Thach Huy Nguyen, Hao Shao, Bin Tong, Einoshin Suzuki

Knowl. Inf. Syst., 2013

Transfer learning by centroid pivoted mapping in noisy environment.

Thach Huy Nguyen, Bin Tong, Hao Shao, Einoshin Suzuki

J. Intell. Inf. Syst., 2013

An Effective Ant Colony Approach for Scheduling Parallel Batch-Processing Machines.

Rui Xu, Huaping Chen, Hao Shao

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Gaussian Process for Transfer Learning through Minimum Encoding.

Hao Shao, Rui Xu, Feng Tao

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes.

Yaxiong Cai, Huaping Chen, Rui Xu, Hao Shao, Xueping Li

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

2012

Linear semi-supervised projection clustering by transferred centroid regularization.

Bin Tong, Hao Shao, Bin-Hui Chou, Einoshin Suzuki

J. Intell. Inf. Syst., 2012

Query by Committee in a Heterogeneous Environment.

Hao Shao, Bin Tong, Einoshin Suzuki

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

Feature-based Inductive Transfer Learning through Minimum Encoding.

Hao Shao, Einoshin Suzuki

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Compact Coding for Hyperplane Classifiers in Heterogeneous Environment.

Hao Shao, Bin Tong, Einoshin Suzuki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

A Compression-Based Dissimilarity Measure for Multi-task Clustering.

Thach Huy Nguyen, Hao Shao, Bin Tong, Einoshin Suzuki

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

2010

Minimising makespan for single burn-in oven scheduling problems using ACO+DP approach.

Hao Shao, Huaping Chen

Int. J. Manuf. Res., 2010

Semi-supervised Projection Clustering with Transferred Centroid Regularization.

Bin Tong, Hao Shao, Bin-Hui Chou, Einoshin Suzuki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2008

A Novel Differential Evolution Algorithm for a Single Batch-Processing Machine with Non-Identical Job Sizes.

Wen-Gong Zhang, Huaping Chen, Di Lu, Hao Shao

Proceedings of the Fourth International Conference on Natural Computation, 2008

Minimizing Makespan for a Single Batch Processing Machine with Non-Identical Job Sizes Using Neural Nets Approach.

Hao Shao, Huaping Chen, Rui Xu, Wen-Gong Zhang

Proceedings of the Fourth International Conference on Natural Computation, 2008

A Hybrid Ant Colony Optimization to Minimize the Total Completion Time on a Single Batch Processing Machine with Non-identical Job Sizes.

Rui Xu, Huaping Chen, Jun-Hong Zhu, Hao Shao

Proceedings of the Fourth International Conference on Natural Computation, 2008

A chaotic Ant Colony Optimization method for scheduling a single batch-processing machine with non-identical job sizes.

Bayi Cheng, Huaping Chen, Hao Shao, Rui Xu, George Q. Huang

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2003

Fast indexing for image retrieval based on local appearance with re-ranking.

Hao Shao, Tomás Svoboda, Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool

Proceedings of the 2003 International Conference on Image Processing, 2003

HPAT Indexing for Fast Object/Scene Recognition Based on Local Appearance.

Hao Shao, Tomás Svoboda, Tinne Tuytelaars, Luc Van Gool

Proceedings of the Image and Video Retrieval, Second International Conference, 2003

1999

Development & Application of Wall-Climbing Robots.

Yan Wang, Shuliang Liu, Dianguo Xu, Yanzheng Zhao, Hao Shao, Xueshan Gao

Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999