Dynamic Subspace Models for High-Sulfur Gas Sweetening Process Monitoring. - Xiaohua Gu; Kun Zhang; Haihong Tang; Tian Wang; Liping Yang 001 (ISCID (2), 2017)

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 (ICDE, 2019)

Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce. - Rong Xiao 005; Jianhui Ji; Baoliang Cui; Haihong Tang; Wenwu Ou; Yanghua Xiao; Jiwei Tan; Xuan Ju (WSDM, 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 007 (WWW, 2019)

Preference-driven yield-and-quality optimization for high-sulfur gas sweetening process by extreme learning machine model. - Jianfeng Shang; Xiaohua Gu; Liping Yang 001; Haihong Tang; Kun Zhang; Zhongli Ji (Clust. Comput., 2019)

Recent Advances in Diversified Recommendation. - Qiong Wu 001; Yong Liu 020; Chunyan Miao; Yin Zhao; Lu Guan; Haihong Tang (CoRR, 2019)

Diversified Interactive Recommendation with Implicit Feedback. - Yong Liu 020; Yingtai Xiao; Qiong Wu 001; Chunyan Miao; Juyong Zhang; Binqiang Zhao; Haihong Tang (AAAI, 2020)

Multi-Question Learning for Visual Question Answering. - Chenyi Lei; Lei Wu; Dong Liu 002; Zhao Li; Guoxin Wang 002; Haihong Tang; Houqiang Li (AAAI, 2020)

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. - Ya Zhao; Rui Xu; Xinchao Wang; Peng Hou; Haihong Tang; Mingli Song (AAAI, 2020)

Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning. - Sihui Luo 001; Wenwen Pan 003; Xinchao Wang; Dazhou Wang; Haihong Tang; Mingli Song (ECCV (6), 2020)

Learning Personalized Itemset Mapping for Cross-Domain Recommendation. - Yinan Zhang 002; Yong Liu 020; Peng Han 005; Chunyan Miao; Lizhen Cui; Baoli Li 002; Haihong Tang (IJCAI, 2020)

A Pre-training Strategy for Recommendation. - Susen Yang; Yong Liu 020; Chenyi Lei; Guoxin Wang 002; Haihong Tang; Juyong Zhang; Chunyan Miao (CoRR, 2020)

A Hybrid Bandit Framework for Diversified Recommendation. - Qinxu Ding; Yong Liu 020; Chunyan Miao; Fei Cheng; Haihong Tang (AAAI, 2021)

How Do Video Features Matter in Visual Advertising? An Elaboration Likelihood Model Perspective. - Danyang Song; Shichao Wang; Carol Ou; Xi Chen 025; Ruitao Liu; Haihong Tang (ICIS, 2021)

SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations. - Chenyi Lei; Yong Liu 020; Lingzi Zhang; Guoxin Wang 002; Haihong Tang; Houqiang Li; Chunyan Miao (KDD, 2021)

Shape Controllable Virtual Try-on for Underwear Models. - Xin Gao; Zhenjiang Liu; Zunlei Feng; Chengji Shen; Kairi Ou; Haihong Tang; Mingli Song (ACM Multimedia, 2021)

Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training. - Chenyi Lei; Shixian Luo; Yong Liu 020; Wanggui He; Jiamang Wang; Guoxin Wang 002; Haihong Tang; Chunyan Miao; Houqiang Li (ACM Multimedia, 2021)

Pre-training Graph Transformer with Multimodal Side Information for Recommendation. - Yong Liu 020; Susen Yang; Chenyi Lei; Guoxin Wang 002; Haihong Tang; Juyong Zhang; Aixin Sun; Chunyan Miao (ACM Multimedia, 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 001 (ACM Multimedia, 2021)

Path-based Deep Network for Candidate Item Matching in Recommenders. - Houyi Li; Zhihong Chen; Chenliang Li; Rong Xiao 005; Hongbo Deng; Peng Zhang 001; Yongchao Liu; Haihong Tang (SIGIR, 2021)

Bearing Fault Diagnosis Based on State-Space Principal Component Tracking Filter Algorithm. - Tangshao Duan; Zhiqiang Liao; Taifu Li; Haihong Tang; Peng Chen 002 (IEEE Access, 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 002; Dunwen Zuo; Sheng Yi (IEEE Trans. Instrum. Meas., 2021)

Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback. - Lingzi Zhang; Yong Liu 020; Xin Zhou 008; Chunyan Miao; Guoxin Wang 002; Haihong Tang (DASFAA (2), 2022)

User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. - Zheng Chai; Zhihong Chen; Chenliang Li; Rong Xiao 005; Houyi Li; Jiawei Wu 008; Jingxu Chen; Haihong Tang (SIGIR, 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)

Reliability of the weight vector generation method of the multi-objective evolutionary algorithm and application. - Shuzhi Gao; Xuepeng Ren; Yimin Zhang 006; Haihong Tang (J. Parallel Distributed Comput., 2022)

A Method for Extracting Fault Features Using Variable Multilevel Spectral Segmentation Framework and Harmonic Correlation Index. - Kun Zhang 007; Haihong Tang; Peng Chen 002; Yonggang Xu; Aijun Hu (IEEE Trans. Instrum. Meas., 2022)

E-Commerce Storytelling Recommendation Using Attentional Domain-Transfer Network and Adversarial Pre-Training. - Xusong Chen; Chenyi Lei; Dong Liu 002; Guoxin Wang 002; Haihong Tang; Zheng-Jun Zha; Houqiang Li (IEEE Trans. Multim., 2022)

ACE-BERT: Adversarial Cross-Modal Enhanced BERT for E-Commerce Retrieval. - Boxuan Zhang 002; Chao Wei; Yan Jin; Cai Xu; Weiru Zhang; Haihong Tang; Ziyu Guan (APWeb/WAIM (4), 2023)

HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for E-commerce Query Classification. - Lvxing Zhu; Kexin Zhang 007; Hao Chen; Chao Wei; Weiru Zhang; Haihong Tang; Xiu Li 001 (CIKM, 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 001 (EMNLP (Findings), 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 (SIGIR, 2023)

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. - Jiong Cai; Yong Jiang 001; Yue Zhang 004; Chengyue Jiang; Ke Yu; Jianhui Ji; Rong Xiao 005; Haihong Tang; Tao Wang 056; Zhongqiang Huang; Pengjun Xie; Fei Huang 002; et al. (CoRR, 2023)

PUMGPT: A Large Vision-Language Model for Product Understanding. - Shuhui Wu; Zengming Tang; Zongyi Guo; Weiwei Zhang; Baoliang Cui; Haihong Tang; Weiming Lu 001 (CoRR, 2023)

SGPT: Semantic graphs based pre-training for aspect-based sentiment analysis. - Yong Qian; Chen Chen 090; Zhongqing Wang; Rong Xiao 005; Haihong Tang (World Wide Web (WWW), 2023)

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees. - Yibo Wang 005; Wenhao Yang; Wei Jiang 029; Shiyin Lu; Bing Wang 017; Haihong Tang; Yuanyu Wan; Lijun Zhang 005 (AAAI, 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 005; Rong Xiao 005; Haihong Tang; Jiajun Ding; Jun Yu 002 (AAAI, 2024)

Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning. - Wenhao Yang; Yingchun Jian; Yibo Wang 005; Shiyin Lu; Lei Shen; Bing Wang 017; Haihong Tang; Lijun Zhang 005 (WWW, 2024)

FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data. - Min Tan 005; Yinfu Feng; Lingqiang Chu; Jingcheng Shi; Rong Xiao 005; Haihong Tang; Jun Yu 002 (IEEE Trans. Multim., 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 002; Dunwen Zuo (Eng. Appl. Artif. Intell., 2024)

Towards machinery incremental fault diagnosis based on inverted transformer lifelong learning with learnable pruning mechanism. - Haihong Tang; Jia-wei Li; Wu-wei Feng; Peng Chen 002; Hong-tao Xue (Eng. Appl. Artif. Intell., 2025)

Fuzzy adaptive power optimization control of wind turbine with improved whale optimization algorithm and kernel extreme learning machine. - Bangjun Lei; Haihong Tang; Yuxiang Su; Yandong Ru; Shumin Fei (Expert Syst. Appl., 2025)

Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models. - Shuting Wang 002; Haihong Tang; Zhicheng Dou; Chenyan Xiong (CoRR, 2025)

TaoSR1: The Thinking Model for E-commerce Relevance Search. - Chenhe Dong; Shaowei Yao; Pengkun Jiao; Jianhui Yang; Yiming Jin; Zerui Huang; Xiaojiang Zhou; Dan Ou; Haihong Tang (CoRR, 2025)