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Hengliang Luo
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2020 – today
- 2024
- [i8]Lei Chen, Chen Gao, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li, Meng Wang:
Enhancing ID-based Recommendation with Large Language Models. CoRR abs/2411.02041 (2024) - 2023
- [j5]Xin Xin
, Jiyuan Yang
On the User Behavior Leakage from Recommender System Exposure. ACM Trans. Inf. Syst. 41(3): 57:1-57:25 (2023) - [c22]Xiaochong Lan
NEON: Living Needs Prediction System in Meituan. KDD 2023: 5292-5302 - [c21]Zhaochun Ren
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. SIGIR 2023: 922-931 - [c20]Xin Xin
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. SIGIR 2023: 932-941 - [i7]Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. CoRR abs/2305.05585 (2023) - [i6]Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin:
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. CoRR abs/2305.11081 (2023) - [i5]Xian Tao, Zhen Qu, Hengliang Luo, Jianwen Han, Yonghao He, Danfeng Liu, Chengkan Lv, Fei Shen, Zhengtao Zhang:
The Second-place Solution for CVPR VISION 23 Challenge Track 1 - Data Effificient Defect Detection. CoRR abs/2306.14116 (2023) - [i4]Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li:
NEON: Living Needs Prediction System in Meituan. CoRR abs/2307.16644 (2023) - 2022
- [c19]Yinfeng Li
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM 2022: 1209-1218 - [c18]Zihan Wang
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. KDD 2022: 1959-1968 - [c17]Yinfeng Li
Automatically Discovering User Consumption Intents in Meituan. KDD 2022: 3259-3269 - [c16]Chang Liu, Chen Gao, Yuan Yuan
Modeling Persuasion Factor of User Decision for Recommendation. KDD 2022: 3366-3376 - [c15]Yinfeng Li
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR 2022: 1997-2002 - [i3]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. CoRR abs/2206.12401 (2022) - [i2]Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren:
On the User Behavior Leakage from Recommender System Exposure. CoRR abs/2210.08435 (2022) - 2021
- [c14]Haiyang Guo, Yi Bin, Yuqing Hou, Qing Zhang, Hengliang Luo:
IQMA Network: Image Quality Multi-Scale Assessment Network. CVPR Workshops 2021: 443-452 - [c13]Yukun Ping, Chen Gao, Taichi Liu, Xiaoyi Du, Hengliang Luo, Depeng Jin, Yong Li:
User Consumption Intention Prediction in Meituan. KDD 2021: 3472-3482 - [c12]Rui Ye, Yuqing Hou, Te Lei, Yunxing Zhang, Qing Zhang, Jiale Guo, Huaiwen Wu, Hengliang Luo:
Dynamic Graph Construction for Improving Diversity of Recommendation. RecSys 2021: 651-655 - [i1]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:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR abs/2105.03072 (2021) - 2020
- [j4]Tong Xia
DeepApp: Predicting Personalized Smartphone App Usage via Context-Aware Multi-Task Learning. ACM Trans. Intell. Syst. Technol. 11(6): 64:1-64:12 (2020) - [c11]Rui Ye, Qing Zhang, Hengliang Luo:
Cross-Session Aware Temporal Convolutional Network for Session-based Recommendation. ICDM (Workshops) 2020: 220-226
2010 – 2019
- 2019
- [c10]Qing Zhang, Liyuan Qiu, Huaiwen Wu, Jinshan Wang, Hengliang Luo:
Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management. ICDM Workshops 2019: 370-375 - [c9]Jiahuan Lei, Qing Zhang, Jinshan Wang, Hengliang Luo:
BERT Based Hierarchical Sequence Classification for Context-Aware Microblog Sentiment Analysis. ICONIP (3) 2019: 376-386 - 2018
- [j3]Kun Kuang
Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach. IEEE Trans. Big Data 4(4): 487-501 (2018) - [j2]Hengliang Luo
Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 19(4): 1100-1111 (2018) - [c8]Hengliang Luo, Qingqun Kong, Fuchao Wu:
Traffic Sign Image Synthesis with Generative Adversarial Networks. ICPR 2018: 2540-2545 - 2017
- [c7]Chun Yu, Yizheng Gu, Zhican Yang
Tap, Dwell or Gesture?: Exploring Head-Based Text Entry Techniques for HMDs. CHI 2017: 4479-4488 - [c6]Jiaxin Mao, Yiqun Liu, Huan-Bo Luan, Min Zhang, Shaoping Ma, Hengliang Luo, Yuntao Zhang:
Understanding and Predicting Usefulness Judgment in Web Search. SIGIR 2017: 1169-1172 - 2016
- [j1]Yi Yang, Hengliang Luo, Huarong Xu, Fuchao Wu:
Towards Real-Time Traffic Sign Detection and Classification. IEEE Trans. Intell. Transp. Syst. 17(7): 2022-2031 (2016) - [c5]Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma, Yue Yin, Hengliang Luo:
Detecting Promotion Campaigns in Query Auto Completion. CIKM 2016: 125-134 - [c4]Bin Hao, Min Zhang, Weizhi Ma, Jiashen Sun, Yiqun Liu, Shaoping Ma, Xuan Zhu, Hengliang Luo:
Finding the True Crowds: User Filtering in Microblogs. NLPCC/ICCPOL 2016: 568-574 - [c3]Jiaxin Mao, Yiqun Liu, Ke Zhou, Jian-Yun Nie
When does Relevance Mean Usefulness and User Satisfaction in Web Search? SIGIR 2016: 463-472 - 2015
- [c2]Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu:
Sentiment Extraction by Leveraging Aspect-Opinion Association Structure. CIKM 2015: 343-352 - 2014
- [c1]Yi Yang, Hengliang Luo, Huarong Xu, Fuchao Wu:
Towards real-time traffic sign detection and classification. ITSC 2014: 87-92
Coauthor Index
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last updated on 2024-12-13 19:11 CET by the dblp team
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