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Hengyang Lu
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2020 – today
- 2025
- [j18]Chao Li, Quanshu Zhang, Vasile Palade, Hengyang Lu, Jun Sun:
Multi-region hierarchical surrogate-assisted quantum-behaved particle swarm optimization for expensive optimization problems. Expert Syst. Appl. 261: 125496 (2025) - [j17]Hengyang Lu, Tian-ci Liu, Rui Cong, Jun Yang, Qiang Gan, Wei Fang, Xiaojun Wu:
QAIE: LLM-based Quantity Augmentation and Information Enhancement for few-shot Aspect-Based Sentiment Analysis. Inf. Process. Manag. 62(1): 103917 (2025) - 2024
- [j16]Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. IEEE Trans. Knowl. Data Eng. 36(2): 652-667 (2024) - [c16]Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu:
Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract). ICDE 2024: 5705-5706 - [c15]Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract). ICDE 2024: 5733-5734 - [c14]Xinyi Liu, Xintong Liu, Hengyang Lu:
JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation. SemEval@NAACL 2024: 497-502 - 2023
- [j15]Wei Fang, Weijian Zhang, Li Ma, Yunlin Wu, Kefei Yan, Hengyang Lu, Jun Sun, Xiaojun Wu, Bo Yuan:
An efficient Bayesian network structure learning algorithm based on structural information. Swarm Evol. Comput. 76: 101224 (2023) - [j14]Yue Jia, Wei Fang, Heng-Yang Lu:
Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 158:1-158:21 (2023) - [j13]Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu:
Mutual Information-Guided GA for Bayesian Network Structure Learning. IEEE Trans. Knowl. Data Eng. 35(8): 8282-8299 (2023) - [c13]Chenyou Fan, Hengyang Lu, Aimin Huang:
A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting. ECAI 2023: 653-659 - 2022
- [j12]Wei Fang, Qiang Zhang, Hengyang Lu, Jerry Chun-Wei Lin:
High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies. Appl. Soft Comput. 124: 109073 (2022) - [j11]Yuntao Du, Ruiting Zhang, Xiaowen Zhang, Yirong Yao, Hengyang Lu, Chongjun Wang:
Learning transferable and discriminative features for unsupervised domain adaptation. Intell. Data Anal. 26(2): 407-425 (2022) - [j10]Yi Zhang, Zhecheng Zhang, Mingyuan Chen, Hengyang Lu, Lei Zhang, Chongjun Wang:
LAMB: A novel algorithm of label collaboration based multi-label learning. Intell. Data Anal. 26(5): 1229-1245 (2022) - [j9]Hengyang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun Wang:
A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. Data Technol. Appl. 56(5): 806-824 (2022) - [c12]Heng-Yang Lu, Chenyou Fan, Jun Yang, Cong Hu, Wei Fang, Xiao-Jun Wu:
Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications. COLING 2022: 984-993 - [c11]Wei Nie, Hengyang Lu, Wei Fang:
Pay Attention to the "Tails": A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection. PRICAI (2) 2022: 321-334 - 2021
- [j8]Heng-Yang Lu, Jun Yang, Yi Zhang, Zuoyong Li:
Polysemy Needs Attention: Short-Text Topic Discovery With Global and Multi-Sense Information. IEEE Access 9: 14918-14932 (2021) - [j7]Hengyang Lu, Chenyou Fan, Xiaoning Song, Wei Fang:
A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media. PeerJ Comput. Sci. 7: e688 (2021) - [j6]Hengyang Lu, Jun Yang, Cong Hu, Wei Fang:
One for "All": a unified model for fine-grained sentiment analysis under three tasks. PeerJ Comput. Sci. 7: e816 (2021) - [j5]Heng-Yang Lu, Yi Zhang, Yuntao Du:
SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. Data Technol. Appl. 55(5): 643-660 (2021) - 2020
- [j4]Aryan Mobiny, Hengyang Lu, Hien Van Nguyen, Badrinath Roysam, Navin Varadarajan:
Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network. IEEE Trans. Medical Imaging 39(1): 1-10 (2020)
2010 – 2019
- 2019
- [j3]Hengyang Lu, Jiabing Li, Melisa A. Martinez-Paniagua, Irfan N. Bandey, Amit Amritkar, Harjeet Singh, David Mayerich, Navin Varadarajan, Badrinath Roysam:
TIMING 2.0: high-throughput single-cell profiling of dynamic cell-cell interactions by time-lapse imaging microscopy in nanowell grids. Bioinform. 35(4): 706-708 (2019) - [j2]Heng-Yang Lu, Ning Kang, Yun Li, Qianyi Zhan, Jun-Yuan Xie, Chong-Jun Wang:
Utilizing Recurrent Neural Network for topic discovery in short text scenarios. Intell. Data Anal. 23(2): 259-277 (2019) - [j1]Jun Yang, Runqi Yang, Hengyang Lu, Chongjun Wang, Junyuan Xie:
Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(4): 47:1-47:22 (2019) - [c10]Yi Zhang, Zhecheng Zhang, Hao Cheng, Hengyang Lu, Lei Zhang, Chongjun Wang, Junyuan Xie:
Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. BIBM 2019: 102-106 - [c9]Kai Zhu, Meng Cao, Heng-Yang Lu:
MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks. ICTAI 2019: 644-651 - [c8]Cheng Zeng, Yi Zhang, Heng-Yang Lu, Chong-Jun Wang:
GADGET: Using Gated GRU for Biomedical Event Trigger Detection. IJCNN 2019: 1-8 - 2018
- [c7]Heng-Yang Lu, Yun Li, Chi Tang, Chong-Jun Wang, Junyuan Xie:
Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery. ICONIP (5) 2018: 437-449 - [c6]Chen Qian, Hengyang Lu, Chongjun Wang:
Online Single Homogeneous Source Transfer Learning Based on AdaBoost. ICTAI 2018: 344-349 - [c5]Heng-Yang Lu, Gao-Jian Ge, Yun Li, Chong-Jun Wang, Jun-Yuan Xie:
Exploiting Global Semantic Similarity Biterms for Short-Text Topic Discovery. ICTAI 2018: 975-982 - 2017
- [c4]Hengyang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie:
Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery. AAAI 2017: 1192-1198 - [c3]Lu-Yao Xie, Lu-Xia Wang, Heng-Yang Lu, Ning Li, Chong-Jun Wang:
Topics may Evolve: Using Complaint Data for Analysis. ICTAI 2017: 1296-1303 - 2016
- [c2]Lan Jiang, Hengyang Lu, Ming Xu, Chongjun Wang:
Biterm Pseudo Document Topic Model for Short Text. ICTAI 2016: 865-872 - 2015
- [c1]Hengyang Lu, Fei-yu Chen, Ming Xu, Chong-Jun Wang, Jun-Yuan Xie:
Never Ignore the Significance of Different Anomalies: A Cost-Sensitive Algorithm Based on Loss Function for Anomaly Detection. ICTAI 2015: 1099-1105
Coauthor Index
aka: Chongjun Wang
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