Haolan Chen

According to our database, Haolan Chen authored at least 15 papers between 2014 and 2024.

Collaborative distances:

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

2024

CasSR: Activating Image Power for Real-World Image Super-Resolution.

Haolan Chen, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Wei Hu

CoRR, 2024

2023

Fuzzy Disturbance Observer-Based Fixed-Time Sliding Mode Control for Hypersonic Morphing Vehicles With Uncertainties.

Haolan Chen, Peng Wang, Guojian Tang

IEEE Trans. Aerosp. Electron. Syst., August, 2023

Deep Point Set Resampling via Gradient Fields.

Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Online Volume Optimization for Notifications via Long Short-Term Value Modeling.

Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness.

Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual Templates.

Kunxun Qi, Hai Wan, Jianfeng Du, Haolan Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

QBSUM: A large-scale query-based document summarization dataset from real-world applications.

Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo

Comput. Speech Lang., 2021

Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds.

Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation.

Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus.

Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Meta-Learning for Query Conceptualization at Web Scale.

Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

A Deep Generative Approach to Search Extrapolation and Recommendation.

Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

MIX: Multi-Channel Information Crossing for Text Matching.

Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016

Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback.

Haolan Chen, Di Niu, Kunfeng Lai, Yu Xu, Masoud Ardakani

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014

A model-checking approach to schedulability analysis of global multiprocessor scheduling with fixed offsets.

Zonghua Gu, Zhu Wang, Haolan Chen, Haibin Cai

Int. J. Embed. Syst., 2014