Wenning Hao

32 papers A* 1Journal 25Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Katz measure-enhanced incremental information retrieval approach based on spectral clustering.
J. Supercomput.
Li Xiang, Wenning Hao, Feiyan Sun, Yu Zheng, Shichen Zou, Ao Zou
2026 A* conf
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking.
AAAI
Hao Li, Yuhao Wang, Xiantao Hu, Wenning Hao, Pingping Zhang, Dong Wang, Huchuan Lu
2026 J jnl
CART: A traceable zero-shot planning framework for large language models with adaptive replanning.
Knowl. Based Syst.
Junyang Liu, Wenning Hao, Kai Cheng, Gang Chen, Xiaoyu Xie
2026 J jnl
RAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation.
CoRR
Hao Li, Yuhao Wang, Wenning Hao, Pingping Zhang, Dong Wang, Huchuan Lu
2025 J jnl
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking.
CoRR
Hao Li, Yuhao Wang, Xiantao Hu, Wenning Hao, Pingping Zhang, Dong Wang, Huchuan Lu
2025 J jnl
Large language model-based planning agent with generative memory strengthens performance in textualized world.
Eng. Appl. Artif. Intell.
Junyang Liu, Wenning Hao, Kai Cheng, Dawei Jin
2024 J jnl
A survey on spatio-temporal series prediction with deep learning: taxonomy, applications, and future directions.
Neural Comput. Appl.
Feiyan Sun, Wenning Hao, Ao Zou, Qianyan Shen
2024 J jnl
An Efficient Corpus Indexer for dynamic corpora retrieval.
Expert Syst. Appl.
Ao Zou, Wenning Hao, Dawei Jin, Shichen Zou, Yu Zheng, Feiyan Sun, Li Xiang
2024 J jnl
An interpretable image classification model Combining a fuzzy neural network with a variational autoencoder inspired by the human brain.
Inf. Sci.
Ke Zhang, Wenning Hao, Xiaohan Yu, Tianhao Shao
2024 — conf
Outperforming Larger Models on Text Classification Through Continued Pre-training.
NLPCC (1)
Yu Zheng, Ming Liu, Ao Zou, Wenning Hao, Hui Zhang, Yi Sun
2023 J jnl
A Symmetrical Fuzzy Neural Network Regression Method Coordinating Structure and Parameter Identifications for Regression.
Symmetry
Ke Zhang, Wenning Hao, Xiaohan Yu, Tianhao Shao
2023 J jnl
DEC-transformer: deep embedded clustering with transformer on Chinese long text.
Pattern Anal. Appl.
Ao Zou, Wenning Hao, Gang Chen, Dawei Jin
2023 J jnl
MoCoUTRL: a momentum contrastive framework for unsupervised text representation learning.
Connect. Sci.
Ao Zou, Wenning Hao, Dawei Jin, Gang Chen, Feiyan Sun
2021 J jnl
Introduction of a new dataset and method for location predicting based on deep learning in wargame.
J. Intell. Fuzzy Syst.
Man Liu, Hongjun Zhang, Wenning Hao, Xiuli Qi, Kai Cheng, Dawei Jin, Xinliang Feng
2020 — conf
A Review of Latest Multi-instance Learning.
CSAI
Yuan Tian, Wenning Hao, Dawei Jin, Gang Chen, Ao Zou
2019 J jnl
Learning Chinese Word Embeddings With Words and Subcharacter N-Grams.
IEEE Access
Ruizhi Kang, Hongjun Zhang, Wenning Hao, Kai Cheng, Guanglu Zhang
2019 J jnl
Ontology Alignment Repair Through 0-1 Programming.
IEEE Access
Wenning Hao, Junyue Chen, Gang Chen, Ruizhi Kang, Zixuan Zhang, Ao Zou
2017 J jnl
A Customized Attention-Based Long Short-Term Memory Network for Distant Supervised Relation Extraction.
Neural Comput.
Dengchao He, Hongjun Zhang, Wenning Hao, Rui Zhang, Kai Cheng
2017 J jnl
An Attention-Based Hybrid Neural Network for Document Modeling.
IEICE Trans. Inf. Syst.
Dengchao He, Hongjun Zhang, Wenning Hao, Rui Zhang, Huan Hao
2017 J jnl
Distant supervised relation extraction via long short term memory networks with sentence embedding.
Intell. Data Anal.
Dengchao He, Hongjun Zhang, Wenning Hao, Rui Zhang, Gang Chen, Dawei Jin, Kai Cheng
2017 J jnl
Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning.
Comput. Intell. Neurosci.
Yuntian Feng, Hongjun Zhang, Wenning Hao, Gang Chen
2017 J jnl
Relation Extraction with Deep Reinforcement Learning.
IEICE Trans. Inf. Syst.
Hongjun Zhang, Yuntian Feng, Wenning Hao, Gang Chen, Dawei Jin
2017 J jnl
基于双线性函数注意力Bi-LSTM模型的机器阅读理解 (Attention of Bilinear Function Based Bi-LSTM Model for Machine Reading Comprehension).
计算机科学
Feilong Liu, Wenning Hao, Gang Chen, Dawei Jin, Jiaxing Song
2016 J jnl
Improving particle swarm optimization: Using neighbor heuristic and Gaussian cloud learning.
Intell. Data Anal.
Donghui Zhan, Houqing Lu, Wenning Hao, Dawei Jin
2016 J jnl
基于深度信念网络的命名实体识别 (Named Entity Recognition Based on Deep Belief Net).
计算机科学
Yuntian Feng, Hongjun Zhang, Wenning Hao, Gang Chen
2015 J jnl
A robust parzen window mutual information estimator for feature selection with label noise.
Intell. Data Anal.
Dengchao He, Hongjun Zhang, Wenning Hao, Rui Zhang
2015 J jnl
基于改进LSH的协同过滤推荐算法 (Collaborative Filtering Recommendation Algorithm Based on Improved Locality-sensitive Hashing).
计算机科学
Hongmei Li, Wenning Hao, Gang Chen
2015 J jnl
面向军事文本的命名实体识别 (Named Entity Recognition for Military Text).
计算机科学
Yuntian Feng, Hongjun Zhang, Wenning Hao
2014 — conf
Large-scale documents reduction based on domain ontology and E2LSH.
ICNSC
Hongmei Li, Wenning Hao, Gang Chen, Xianglin Liao
2013 — conf
A Decision Tree Algorithm Based on Dispersion Measure of Attribute Information.
IEEE WISA
Dengchao He, Wenning Hao, Wenyan Gan, Gang Chen, Dawei Jin
2013 — conf
Survey of Probabilistic Graphical Models.
IEEE WISA
Hongmei Li, Wenning Hao, Wenyan Gan, Gang Chen
2010 — conf
Research on Similarity Matching for Multiple Granularities Time-Series Data.
ADMA (1)
Wenning Hao, Enlai Zhao, Hongjun Zhang, Gang Chen, Dawei Jin