Hengliang Luo

According to our database, Hengliang Luo authored at least 28 papers between 2015 and 2023.

Collaborative distances:

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

2023

On the User Behavior Leakage from Recommender System Exposure.

Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren

ACM Trans. Inf. Syst., 2023

The Second-place Solution for CVPR VISION 23 Challenge Track 1 - Data Effificient Defect Detection.

Xian Tao, Zhen Qu, Hengliang Luo, Jianwen Han, Yonghao He, Danfeng Liu, Chengkan Lv, Fei Shen, Zhengtao Zhang

CoRR, 2023

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.

Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.

Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

NEON: Living Needs Prediction System in Meituan.

Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li

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

2022

Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation.

Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Debiasing Learning for Membership Inference Attacks Against Recommender Systems.

Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Modeling Persuasion Factor of User Decision for Recommendation.

Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatically Discovering User Consumption Intents in Meituan.

Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks.

Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment.

Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa

CoRR, 2021

Dynamic Graph Construction for Improving Diversity of Recommendation.

Rui Ye, Yuqing Hou, Te Lei, Yunxing Zhang, Qing Zhang, Jiale Guo, Huaiwen Wu, Hengliang Luo

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

User Consumption Intention Prediction in Meituan.

Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

IQMA Network: Image Quality Multi-Scale Assessment Network.

Haiyang Guo, Yi Bin, Yuqing Hou, Qing Zhang, Hengliang Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning.

Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao

ACM Trans. Intell. Syst. Technol., 2020

Cross-Session Aware Temporal Convolutional Network for Session-based Recommendation.

Rui Ye, Qing Zhang, Hengliang Luo

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

BERT Based Hierarchical Sequence Classification for Context-Aware Microblog Sentiment Analysis.

Jiahuan Lei, Qing Zhang, Jinshan Wang, Hengliang Luo

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management.

Qing Zhang, Liyuan Qiu, Huaiwen Wu, Jinshan Wang, Hengliang Luo

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network.

Hengliang Luo, Yi Yang, Bei Tong, Fuchao Wu, Bin Fan

IEEE Trans. Intell. Transp. Syst., 2018

Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach.

Kun Kuang, Meng Jiang, Peng Cui, Hengliang Luo, Shiqiang Yang

IEEE Trans. Big Data, 2018

Traffic Sign Image Synthesis with Generative Adversarial Networks.

Hengliang Luo, Qingqun Kong, Fuchao Wu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Understanding and Predicting Usefulness Judgment in Web Search.

Jiaxin Mao, Yiqun Liu, Huan-Bo Luan, Min Zhang, Shaoping Ma, Hengliang Luo, Yuntao Zhang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Tap, Dwell or Gesture?: Exploring Head-Based Text Entry Techniques for HMDs.

Chun Yu, Yizheng Gu, Zhican Yang, Xin Yi, Hengliang Luo, Yuanchun Shi

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Towards Real-Time Traffic Sign Detection and Classification.

Yi Yang, Hengliang Luo, Huarong Xu, Fuchao Wu

IEEE Trans. Intell. Transp. Syst., 2016

When does Relevance Mean Usefulness and User Satisfaction in Web Search?

Jiaxin Mao, Yiqun Liu, Ke Zhou, Jian-Yun Nie, Jingtao Song, Min Zhang, Shaoping Ma, Jiashen Sun, Hengliang Luo

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Finding the True Crowds: User Filtering in Microblogs.

Bin Hao, Min Zhang, Weizhi Ma, Jiashen Sun, Yiqun Liu, Shaoping Ma, Xuan Zhu, Hengliang Luo

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Detecting Promotion Campaigns in Query Auto Completion.

Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma, Yue Yin, Hengliang Luo

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

2015

Sentiment Extraction by Leveraging Aspect-Opinion Association Structure.

Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015