Hengliang Luo

43 papers A* 13A 4B 1Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling.
WWW
Mingyu Zhao, Haoran Bai, Yu Tian, Bing Zhu, Hengliang Luo
2026 J jnl
CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling.
CoRR
Mingyu Zhao, Haoran Bai, Yu Tian, Bing Zhu, Hengliang Luo
2026 A* conf
DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions.
AAAI
Jitong Dou, Lingrui Luo, Bing Zhu, Hengliang Luo, Mingjun Zhong, Yurong Cheng
2025 J jnl
Denoising Alignment with Large Language Model for Recommendation.
ACM Trans. Inf. Syst.
Yingtao Peng, Chen Gao, Yu Zhang, Tangpeng Dan, Xiaoyi Du, Hengliang Luo, Yong Li, Xiaofeng Meng
2025 J jnl
Enhancing ID-based Recommendation with Large Language Models.
ACM Trans. Inf. Syst.
Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang
2025 — conf
Open-Set Living Need Prediction with Large Language Models.
ACL (Findings)
Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinleishi, Hengliang Luo, Yong Li
2025 J jnl
Open-Set Living Need Prediction with Large Language Models.
CoRR
Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Yong Li
2025 J jnl
Privacy-preserving recommendation with coarse-grained spatiotemporal contexts.
Sci. China Inf. Sci.
Lei Chen, Chen Gao, Jiahuan Lei, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang
2024 J jnl
Enhancing ID-based Recommendation with Large Language Models.
CoRR
Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang
2023 A* conf
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
SIGIR
Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin
2023 J jnl
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
CoRR
Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin
2023 A* conf
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
SIGIR
Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren
2023 J jnl
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
CoRR
Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren
2023 A* conf
NEON: Living Needs Prediction System in Meituan.
KDD
Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li
2023 J jnl
NEON: Living Needs Prediction System in Meituan.
CoRR
Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li
2023 J jnl
On the User Behavior Leakage from Recommender System Exposure.
ACM Trans. Inf. Syst.
Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren
2023 J jnl
The Second-place Solution for CVPR VISION 23 Challenge Track 1 - Data Effificient Defect Detection.
CoRR
Xian Tao, Zhen Qu, Hengliang Luo, Jianwen Han, Yonghao He, Danfeng Liu, Chengkan Lv, Fei Shen, Zhengtao Zhang
2022 A* conf
Automatically Discovering User Consumption Intents in Meituan.
KDD
Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
2022 A* conf
Debiasing Learning for Membership Inference Attacks Against Recommender Systems.
KDD
Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren
2022 J jnl
Debiasing Learning for Membership Inference Attacks Against Recommender Systems.
CoRR
Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren
2022 A* conf
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation.
SIGIR
Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li
2022 A* conf
Modeling Persuasion Factor of User Decision for Recommendation.
KDD
Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li
2022 J jnl
On the User Behavior Leakage from Recommender System Exposure.
CoRR
Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren
2022 A conf
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks.
CIKM
Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
2021 A conf
Dynamic Graph Construction for Improving Diversity of Recommendation.
RecSys
Rui Ye, Yuqing Hou, Te Lei, Yunxing Zhang, Qing Zhang, Jiale Guo, Huaiwen Wu, Hengliang Luo
2021 — conf
IQMA Network: Image Quality Multi-Scale Assessment Network.
CVPR Workshops
Haiyang Guo, Yi Bin, Yuqing Hou, Qing Zhang, Hengliang Luo
2021 J jnl
NTIRE 2021 Challenge on Perceptual Image Quality Assessment.
CoRR
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
2021 A* conf
User Consumption Intention Prediction in Meituan.
KDD
Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li
2020 — conf
Cross-Session Aware Temporal Convolutional Network for Session-based Recommendation.
ICDM (Workshops)
Rui Ye, Qing Zhang, Hengliang Luo
2020 J jnl
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning.
ACM Trans. Intell. Syst. Technol.
Tong Xia, Yong Li, Jie Feng, Depeng Jin, Qing Zhang, Hengliang Luo, Qingmin Liao
2019 — conf
BERT Based Hierarchical Sequence Classification for Context-Aware Microblog Sentiment Analysis.
ICONIP (3)
Jiahuan Lei, Qing Zhang, Jinshan Wang, Hengliang Luo
2019 — conf
Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management.
ICDM Workshops
Qing Zhang, Liyuan Qiu, Huaiwen Wu, Jinshan Wang, Hengliang Luo
2018 J jnl
Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach.
IEEE Trans. Big Data
Kun Kuang, Meng Jiang, Peng Cui, Hengliang Luo, Shiqiang Yang
2018 B conf
Traffic Sign Image Synthesis with Generative Adversarial Networks.
ICPR
Hengliang Luo, Qingqun Kong, Fuchao Wu
2018 J jnl
Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst.
Hengliang Luo, Yi Yang, Bei Tong, Fuchao Wu, Bin Fan
2017 A* conf
Tap, Dwell or Gesture?: Exploring Head-Based Text Entry Techniques for HMDs.
CHI
Chun Yu, Yizheng Gu, Zhican Yang, Xin Yi, Hengliang Luo, Yuanchun Shi
2017 A* conf
Understanding and Predicting Usefulness Judgment in Web Search.
SIGIR
Jiaxin Mao, Yiqun Liu, Huan-Bo Luan, Min Zhang, Shaoping Ma, Hengliang Luo, Yuntao Zhang
2016 A conf
Detecting Promotion Campaigns in Query Auto Completion.
CIKM
Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma, Yue Yin, Hengliang Luo
2016 — conf
Finding the True Crowds: User Filtering in Microblogs.
NLPCC/ICCPOL
Bin Hao, Min Zhang, Weizhi Ma, Jiashen Sun, Yiqun Liu, Shaoping Ma, Xuan Zhu, Hengliang Luo
2016 J jnl
Towards Real-Time Traffic Sign Detection and Classification.
IEEE Trans. Intell. Transp. Syst.
Yi Yang, Hengliang Luo, Huarong Xu, Fuchao Wu
2016 A* conf
When does Relevance Mean Usefulness and User Satisfaction in Web Search?
SIGIR
Jiaxin Mao, Yiqun Liu, Ke Zhou, Jian-Yun Nie, Jingtao Song, Min Zhang, Shaoping Ma, Jiashen Sun, Hengliang Luo
2015 A conf
Sentiment Extraction by Leveraging Aspect-Opinion Association Structure.
CIKM
Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu
2014 — conf
Towards real-time traffic sign detection and classification.
ITSC
Yi Yang, Hengliang Luo, Huarong Xu, Fuchao Wu