Haihong Tang

According to our database, Haihong Tang authored at least 38 papers between 2017 and 2024.

Collaborative distances:

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

2024

Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter.

Haihong Tang, Yanmin Tang, Yuxiang Su, Wuwei Feng, Bing Wang, Peng Chen, Dunwen Zuo

Eng. Appl. Artif. Intell., January, 2024

Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search.

Yiqian Zhang, Yinfu Feng, Wen-Ji Zhou, Yunan Ye, Min Tan, Rong Xiao, Haihong Tang, Jiajun Ding, Jun Yu

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

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees.

Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang

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

2023

SGPT: Semantic graphs based pre-training for aspect-based sentiment analysis.

Yong Qian, Chen Chen, Zhongqing Wang, Rong Xiao, Haihong Tang

World Wide Web (WWW), July, 2023

PUMGPT: A Large Vision-Language Model for Product Understanding.

Shuhui Wu, Zengming Tang, Zongyi Guo, Weiwei Zhang, Baoliang Cui, Haihong Tang, Weiming Lu

CoRR, 2023

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.

Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu

CoRR, 2023

Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees.

Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang

CoRR, 2023

TMML: Text-Guided MuliModal Product Location For Alleviating Retrieval Inconsistency in E-Commerce.

Youhua Tang, Xiong Xiong, Siyang Sun, Baoliang Cui, Yun Zheng, Haihong Tang

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

Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages.

Linjuan Wu, Zongyi Guo, Baoliang Cui, Haihong Tang, Weiming Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for E-commerce Query Classification.

Lvxing Zhu, Kexin Zhang, Hao Chen, Chao Wei, Weiru Zhang, Haihong Tang, Xiu Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

E-Commerce Storytelling Recommendation Using Attentional Domain-Transfer Network and Adversarial Pre-Training.

Xusong Chen, Chenyi Lei, Dong Liu, Guoxin Wang, Haihong Tang, Zheng-Jun Zha, Houqiang Li

IEEE Trans. Multim., 2022

A Method for Extracting Fault Features Using Variable Multilevel Spectral Segmentation Framework and Harmonic Correlation Index.

Kun Zhang, Haihong Tang, Peng Chen, Yonggang Xu, Aijun Hu

IEEE Trans. Instrum. Meas., 2022

Reliability of the weight vector generation method of the multi-objective evolutionary algorithm and application.

Shuzhi Gao, Xuepeng Ren, Yimin Zhang, Haihong Tang

J. Parallel Distributed Comput., 2022

Distilling Task-specific Logical Rules from Large Pre-trained Models.

Tao Chen, Luxin Liu, Xuepeng Jia, Baoliang Cui, Haihong Tang, Siliang Tang

CoRR, 2022

User-Aware Multi-Interest Learning for Candidate Matching in Recommenders.

Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang

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

Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback.

Lingzi Zhang, Yong Liu, Xin Zhou, Chunyan Miao, Guoxin Wang, Haihong Tang

Proceedings of the Database Systems for Advanced Applications, 2022

2021

A Novel Convolutional Neural Network for Low-Speed Structural Fault Diagnosis Under Different Operating Condition and Its Understanding via Visualization.

Haihong Tang, Zhiqiang Liao, Peng Chen, Dunwen Zuo, Sheng Yi

IEEE Trans. Instrum. Meas., 2021

Bearing Fault Diagnosis Based on State-Space Principal Component Tracking Filter Algorithm.

Tangshao Duan, Zhiqiang Liao, Taifu Li, Haihong Tang, Peng Chen

IEEE Access, 2021

Path-based Deep Network for Candidate Item Matching in Recommenders.

Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

WAB'21: 1st Workshop on Multimodal Product Identification in Livestreaming and WAB Challenge.

Yueting Zhuang, Xing Tang, Guilin Wu, Yahong Han, Haihong Tang, Xiaobo Li, Xiaohan Wang, Baoming Yan, Bo Gao, Yi Yang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Pre-training Graph Transformer with Multimodal Side Information for Recommendation.

Yong Liu, Susen Yang, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Aixin Sun, Chunyan Miao

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training.

Chenyi Lei, Shixian Luo, Yong Liu, Wanggui He, Jiamang Wang, Guoxin Wang, Haihong Tang, Chunyan Miao, Houqiang Li

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Shape Controllable Virtual Try-on for Underwear Models.

Xin Gao, Zhenjiang Liu, Zunlei Feng, Chengji Shen, Kairi Ou, Haihong Tang, Mingli Song

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations.

Chenyi Lei, Yong Liu, Lingzi Zhang, Guoxin Wang, Haihong Tang, Houqiang Li, Chunyan Miao

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

How Do Video Features Matter in Visual Advertising? An Elaboration Likelihood Model Perspective.

Danyang Song, Shichao Wang, Carol Ou, Xi Chen, Ruitao Liu, Haihong Tang

Proceedings of the 42nd International Conference on Information Systems, 2021

A Hybrid Bandit Framework for Diversified Recommendation.

Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Pre-training Strategy for Recommendation.

Susen Yang, Yong Liu, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Chunyan Miao

CoRR, 2020

Learning Personalized Itemset Mapping for Cross-Domain Recommendation.

Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning.

Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song

Proceedings of the Computer Vision - ECCV 2020, 2020

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers.

Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song

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

Multi-Question Learning for Visual Question Answering.

Chenyi Lei, Lei Wu, Dong Liu, Zhao Li, Guoxin Wang, Haihong Tang, Houqiang Li

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

Diversified Interactive Recommendation with Implicit Feedback.

Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang

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

2019

Recent Advances in Diversified Recommendation.

Qiong Wu, Yong Liu, Chunyan Miao, Yin Zhao, Lu Guan, Haihong Tang

CoRR, 2019

Preference-driven yield-and-quality optimization for high-sulfur gas sweetening process by extreme learning machine model.

Jianfeng Shang, Xiaohua Gu, Liping Yang, Haihong Tang, Kun Zhang, Zhongli Ji

Clust. Comput., 2019

Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning.

Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng

Proceedings of the World Wide Web Conference, 2019

Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce.

Rong Xiao, Jianhui Ji, Baoliang Cui, Haihong Tang, Wenwu Ou, Yanghua Xiao, Jiwei Tan, Xuan Ju

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Towards the Completion of a Domain-Specific Knowledge Base with Emerging Query Terms.

Sihang Jiang, Jiaqing Liang, Yanghua Xiao, Haihong Tang, Hai-Kuan Huang, Jun Tan

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

Dynamic Subspace Models for High-Sulfur Gas Sweetening Process Monitoring.

Xiaohua Gu, Kun Zhang, Haihong Tang, Tian Wang, Liping Yang

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017