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Yuanchao Liu
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2020 – today
- 2024
- [j38]Wanting Yang, Jianchang Liu
, Shubin Tan, Wei Zhang, Yuanchao Liu:
Evolutionary dynamic grouping based cooperative co-evolution algorithm for large-scale optimization. Appl. Intell. 54(6): 4585-4601 (2024) - [j37]Fei Li
, Zhengkun Shang, Yuanchao Liu
, Hao Shen, Yaochu Jin
:
Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization. Appl. Soft Comput. 152: 111194 (2024) - [j36]Da Feng, Yan Li, Jianchang Liu
, Yuanchao Liu
:
A particle swarm optimization algorithm based on modified crowding distance for multimodal multi-objective problems. Appl. Soft Comput. 152: 111280 (2024) - [j35]Wenjuan Zhang
, Jianchang Liu
, Wei Zhang
, Yuanchao Liu, Shubin Tan
:
A two-stage evolutionary algorithm assisted by multi-archives for constrained multi-objective optimization. Appl. Soft Comput. 162: 111840 (2024) - [j34]Fei Li
, Qiang Yue, Yuanchao Liu
, Haibin Ouyang, Fangqing Gu:
A fast density peak clustering based particle swarm optimizer for dynamic optimization. Expert Syst. Appl. 236: 121254 (2024) - [j33]Wei Zhang
, Jianchang Liu
, Junhua Liu
, Yuanchao Liu
, Shubin Tan:
A dual distance dominance based evolutionary algorithm with selection-replacement operator for many-objective optimization. Expert Syst. Appl. 237(Part A): 121244 (2024) - [j32]Yuanchao Liu
, Jiawei Han, Alexander G. Sboev
, Ilya Makarov
:
GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment. Expert Syst. Appl. 245: 123043 (2024) - [j31]Wei Zhang, Jianchang Liu
, Yuanchao Liu
, Junhua Liu
, Shubin Tan:
A many-objective evolutionary algorithm under diversity-first selection based framework. Expert Syst. Appl. 250: 123949 (2024) - [j30]Kun Bu
, Yuanchao Liu, Xiaolong Ju:
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning. Knowl. Based Syst. 283: 111148 (2024) - [j29]Yuanchao Liu, Jianchang Liu, Jinliang Ding, Shangshang Yang, Yaochu Jin:
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems. IEEE Trans. Evol. Comput. 28(4): 1039-1053 (2024) - [j28]Shangshang Yang, Xiangkun Sun, Ke Xu, Yuanchao Liu, Ye Tian, Xingyi Zhang:
Hybrid Architecture-Based Evolutionary Robust Neural Architecture Search. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2919-2934 (2024) - 2023
- [j27]Yuanchao Liu
, Jianchang Liu
, Shubin Tan:
Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization. Expert Syst. Appl. 214: 119075 (2023) - [j26]Wei Zhang, Jianchang Liu
, Junhua Liu, Yuanchao Liu
, Honghai Wang:
A many-objective evolutionary algorithm based on novel fitness estimation and grouping layering. Neural Comput. Appl. 35(34): 24283-24314 (2023) - [j25]Pir Noman Ahmad, Yuanchao Liu, Khalid Khan, Tao Jiang, Umama Burhan:
BIR: Biomedical Information Retrieval System for Cancer Treatment in Electronic Health Record Using Transformers. Sensors 23(23): 9355 (2023) - [j24]Yuanchao Liu
, Jianchang Liu
, Yaochu Jin
, Fei Li
, Tianzi Zheng:
A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 715-730 (2023) - 2022
- [j23]Tianzi Zheng, Jianchang Liu, Yuanchao Liu
, Shubin Tan:
Hybridizing multi-objective, clustering and particle swarm optimization for multimodal optimization. Neural Comput. Appl. 34(3): 2247-2274 (2022) - [j22]Yuanchao Liu
, Jianchang Liu, Shubin Tan, Yongkuan Yang, Fei Li:
A bagging-based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization. Neural Comput. Appl. 34(14): 12097-12118 (2022) - [j21]Jianchang Liu
, Yuanchao Liu
, Yaochu Jin
, Fei Li:
A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 3360-3375 (2022) - [j20]Yuanchao Liu
, Jianchang Liu
, Yaochu Jin
:
Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4671-4684 (2022) - [c26]Zhongan Chen, Weiwei Chen, YunLong Sun, Hongqing Xu, Shuzhe Zhou, Bohan Chen, Chengjie Sun, Yuanchao Liu:
ITNLP2022 at SemEval-2022 Task 8: Pre-trained Model with Data Augmentation and Voting for Multilingual News Similarity. SemEval@NAACL 2022: 1184-1189 - 2021
- [j19]Yongkuan Yang, Jianchang Liu, Shubin Tan, Yuanchao Liu
:
A multi-objective differential evolution algorithm based on domination and constraint-handling switching. Inf. Sci. 579: 796-813 (2021) - [c25]Yuanhao Liu, Juan Wang, Yuanchao Liu, Xudong Zhao, Zhenhao Yang:
Intelligent Design of Sunshade Based on Arduino. ICISCAE (ACM) 2021: 2149-2153 - 2020
- [j18]Yuanchao Liu
, Jianchang Liu, Yaochu Jin, Fei Li, Tianzi Zheng:
An affinity propagation clustering based particle swarm optimizer for dynamic optimization. Knowl. Based Syst. 195: 105711 (2020) - [j17]Yuanchao Liu
, Jianchang Liu, Tianjun Li, Qian Li:
An R2 indicator and weight vector-based evolutionary algorithm for multi-objective optimization. Soft Comput. 24(7): 5079-5100 (2020) - [c24]Yuanchao Liu
, Jianchang Liu, Tianzi Zheng, Yongkuan Yang:
A Surrogate-Assisted Clustering Particle Swarm Optimizer for Expensive Optimization Under Dynamic Environment. CEC 2020: 1-8 - [c23]Peng Cui, Le Hu, Yuanchao Liu:
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks. COLING 2020: 5360-5371 - [c22]Yice Zhang, Jiaxuan Lin, Yang Fan, Peng Jin, Yuanchao Liu, Bingquan Liu:
CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples. SemEval@COLING 2020: 494-500 - [i2]Peng Cui, Le Hu, Yuanchao Liu:
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks. CoRR abs/2010.06253 (2020) - [i1]Peng Cui, Le Hu, Yuanchao Liu:
Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching. CoRR abs/2010.07668 (2020)
2010 – 2019
- 2019
- [j16]Yuanchao Liu, Bo Pang:
Opinion Spam Detection based on Annotation Extension and Neural Networks. Comput. Inf. Sci. 12(2): 87- (2019) - [j15]Yuanchao Liu, Bo Pang, Xiaolong Wang:
Opinion spam detection by incorporating multimodal embedded representation into a probabilistic review graph. Neurocomputing 366: 276-283 (2019) - [c21]Yuanchao Liu, Bo Pang, Bingquan Liu:
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing. ACL (1) 2019: 5522-5526 - [c20]Yuanchao Liu, Xinping Li, Mingjiang Wang:
Quantifying Customer Review by Integrating Multiple Source of Knowledge. ICMLC 2019: 6-11 - [c19]Peng Cui, Yuanchao Liu, Bingquan Liu:
A Neural Topic Model Based on Variational Auto-Encoder for Aspect Extraction from Opinion Texts. NLPCC (1) 2019: 660-671 - 2018
- [j14]Yuanchao Liu, Bo Pang:
A unified framework for detecting author spamicity by modeling review deviation. Expert Syst. Appl. 112: 148-155 (2018) - [j13]Yuanchao Liu, Bingquan Liu, Lili Shan, Xin Wang:
Modelling context with neural networks for recommending idioms in essay writing. Neurocomputing 275: 2287-2293 (2018) - [j12]Yuanchao Liu, Junqi Wang, Xiaolong Wang
:
Learning to recognize opinion targets using recurrent neural networks. Pattern Recognit. Lett. 106: 41-46 (2018) - 2017
- [c18]Xin Wang, Jianan Wang, Yuanchao Liu, Xiaolong Wang, Zhuoran Wang, Baoxun Wang:
Predicting Users' Negative Feedbacks in Multi-Turn Human-Computer Dialogues. IJCNLP(1) 2017: 713-722 - 2016
- [j11]Xin Wang
, Yuanchao Liu, Ming Liu, Chengjie Sun
, Xiaolong Wang:
Understanding Gating Operations in Recurrent Neural Networks through Opinion Expression Extraction. Entropy 18(8): 294 (2016) - [c17]Yuanchao Liu, Xin Wang, Ming Liu, Xiaolong Wang:
Write-righter: An Academic Writing Assistant System. AAAI 2016: 4373-4374 - [c16]Xin Wang, Yuanchao Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Extended Dependency-Based Word Embeddings for Aspect Extraction. ICONIP (4) 2016: 104-111 - 2015
- [j10]Yuanchao Liu, Jianxi Fan, Dajin Wang, Hongwei Du, Shukui Zhang, Jing Lv:
Approximate Algorithms for Vertex Cover Problems in WSN Topology Design. Ad Hoc Sens. Wirel. Networks 28(1-2): 19-39 (2015) - [c15]Xin Wang, Yuanchao Liu, Chengjie Sun, Baoxun Wang
, Xiaolong Wang:
Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory. ACL (1) 2015: 1343-1353 - 2014
- [j9]Ming Liu, Chong Wu
, Yuanchao Liu:
Weight evaluation for features via constrained data-pairscan't-linkq. Inf. Sci. 282: 70-91 (2014) - [c14]Xianjun Dai, Yuanchao Liu, Xiaolong Wang, Bingquan Liu:
WINGS: Writing with Intelligent Guidance and Suggestions. ACL (System Demonstrations) 2014: 25-30 - 2013
- [j8]Yuanchao Liu, Xin Wang, Chengjie Sun, Bingquan Liu:
A Novel Approach for Dynamic Polarity Mining from Customer Reviews. Comput. Inf. Sci. 6(3): 80-88 (2013) - [j7]Yuanchao Liu, Feng Wu, Ming Liu, Bingquan Liu:
Abstract Sentence Classification for Scientific Papers Based on Transductive SVM. Comput. Inf. Sci. 6(4): 125-131 (2013) - [j6]Ming Liu, Yuanchao Liu, Bingquan Liu, Lei Lin:
Probability-based text clustering algorithm by alternately repeating two operations. J. Inf. Sci. 39(3): 372-383 (2013) - [c13]Yuanchao Liu, Ming Liu, Xiaolong Wang, Limin Wang, Jingjing Li:
PAL: A Chatterbot System for Answering Domain-specific Questions. ACL (Conference System Demonstrations) 2013: 67-72 - 2012
- [j5]Yuanchao Liu, Shukui Zhang, Jianxi Fan, Juncheng Jia:
A Path Planning Algorithm with a Guaranteed Distance Cost in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 8 (2012) - 2011
- [j4]Yuanchao Liu, Chong Wu
, Ming Liu:
Research of fast SOM clustering for text information. Expert Syst. Appl. 38(8): 9325-9333 (2011) - [c12]Jinfeng Li, Huaibin Wang, Yuanchao Liu:
Research of Fault Alarm Correlation Analysis Based on Association Rules in Communication Network. ICAIC (4) 2011: 40-48 - 2010
- [j3]Yiheng Chen, Bing Qin, Ting Liu, Yuanchao Liu, Sheng Li:
The Comparison of SOM and K-means for Text Clustering. Comput. Inf. Sci. 3(2): 268-274 (2010) - [c11]Erlei Ma, Yuanchao Liu:
Research of People Disambiguation by Combining Multiple knowledges. CIPS-SIGHAN 2010 - [c10]Lei Jiang, Yuanchao Liu, Bingquan Liu, Chengjie Sun, Xiaolong Wang:
Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields. AIRS 2010: 261-269 - [c9]Yong Cheng, Chengjie Sun, Lei Lin, Yuanchao Liu:
A Comparison Study of Conditional Random Fields Toolkits. ICIC (3) 2010: 192-199 - [c8]Baomin Sun, Yuanchao Liu, Zhaoyong Ding, Huifii Zhao, Wei Li:
Carbon nanotubes deposited on the surface of alloy contained Fe and Ni by pyrolysis flame. NEMS 2010: 219-222 - [c7]Yuanchao Liu, Baomin Sun, Zhaoyong Ding, Wei Li:
Synthesis of bamboo-like carbon nanotubes using the pyrolysis flame. NEMS 2010: 223-226
2000 – 2009
- 2009
- [j2]Kunpeng Zhu, Xiaolong Wang, Yuanchao Liu:
A new query expansion method based on query logs mining. Int. J. Asian Lang. Process. 19(1): 1-12 (2009) - [c6]Shanzong Zhu, Yuanchao Liu, Ming Liu, Peiliang Tian:
Research on Feature Extraction from Chinese Text for Opinion Mining. IALP 2009: 7-10 - 2008
- [j1]Yuanchao Liu
, Xiaolong Wang, Chong Wu
:
ConSOM: A conceptional self-organizing map model for text clustering. Neurocomputing 71(4-6): 857-862 (2008) - [c5]Peng Li, Peili Qiao, Yuanchao Liu:
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets. FSKD (2) 2008: 65-69 - [c4]Ming Liu, Yuanchao Liu, Xiaolong Wang:
IGSOM: Incremental Clustering Based on Self-Organizing-Mapping. IIH-MSP 2008: 885-890 - [c3]Xin-Guang Sha, Yuanchao Liu, Ming Liu, Xiaolong Wang:
A clustering retrieval system of Chinese information. NLPKE 2008: 1-6 - 2007
- [c2]Kegang Luo, Yuanchao Liu
, Xiaolong Wang:
A Dynamic SOM Algorithm for Clustering Large-Scale Document Collection. ALPIT 2007: 15-20 - [c1]Tao Liu, Xiaolong Wang, Bingquan Liu, Yuanchao Liu, Minghui Li:
Extracting domain-specific terms from unlabeled web documents by bootstrapping and term classifiers. SMC 2007: 3875-3880
Coauthor Index
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last updated on 2024-08-08 19:18 CEST by the dblp team
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