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2020 – today
- 2024
[j92]Ruizhuo Zhang, Wenjian Luo
, Yongkang Luo, Hongwei Zhang, Jiahai Wang:
AFL-DCS: An asynchronous federated learning framework with dynamic client scheduling. Eng. Appl. Artif. Intell. 133: 107927 (2024)- [j91]Meixiu Long, Siyuan Chen, Jiahai Wang:
Locally-adaptive mapping for network alignment via meta-learning. Inf. Process. Manag. 61(5): 103817 (2024) - [j90]Jie Zhao, Yun Ling, Faliang Huang, Jiahai Wang, Eric Wing Kuen See-To:
Incremental feature selection for dynamic incomplete data using sub-tolerance relations. Pattern Recognit. 148: 110125 (2024) - [j89]Jie Zhao, Daiyang Wu, Jiaxin Wu, Wenhao Ye, Faliang Huang, Jiahai Wang, Eric Wing Kuen See-To:
Consistency approximation: Incremental feature selection based on fuzzy rough set theory. Pattern Recognit. 155: 110652 (2024) - [j88]Jiaru Yang, Kaiyu Wang, Yirui Wang, Jiahai Wang, Zhenyu Lei, Shangce Gao:
Dynamic Population Structures-Based Differential Evolution Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2493-2505 (2024) - [j87]Siyuan Chen, Jiahai Wang:
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multiagent Trajectory Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8040-8052 (2024) - [c69]Zhifeng Wu, Xiaohui Li, Luning Wang, Shendi Wang, Yufei Cui, Jiahai Wang:
ProtoTree-MIL: Interpretable Multiple Instance Learning for Whole Slide Image Classification. IJCNN 2024: 1-8 - [i30]Siyuan Chen, Xin Du, Jiahai Wang:
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems. CoRR abs/2401.10300 (2024) - 2023
- [j86]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving task generalization via unified schema prompt. AI Open 4: 120-129 (2023) - [j85]Jieyang Peng, Andreas Kimmig, Dongkun Wang, Zhibin Niu, Fan Zhi, Jiahai Wang, Xiufeng Liu, Jivka Ovtcharova:
A systematic review of data-driven approaches to fault diagnosis and early warning. J. Intell. Manuf. 34(8): 3277-3304 (2023) - [j84]Yingli Li, Jiahai Wang, Jianxiang Gao, Zhengwei Liu:
Solving fuzzy scheduling using clustering method and bacterial foraging algorithm. Soft Comput. 27(11): 7285-7297 (2023) - [j83]Yi Xiang, Xiaowei Yang, Han Huang, Jiahai Wang:
Balancing Constraints and Objectives by Considering Problem Types in Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(1): 88-101 (2023) - [j82]Ziqian Wang, Shangce Gao, MengChu Zhou, Syuhei Sato, Jiujun Cheng, Jiahai Wang:
Information-Theory-based Nondominated Sorting Ant Colony Optimization for Multiobjective Feature Selection in Classification. IEEE Trans. Cybern. 53(8): 5276-5289 (2023) - [j81]Shangce Gao, MengChu Zhou, Ziqian Wang, Daiki Sugiyama, Jiujun Cheng, Jiahai Wang, Yuki Todo:
Fully Complex-Valued Dendritic Neuron Model. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2105-2118 (2023) - [j80]Zizhen Zhang, Hong Liu, MengChu Zhou, Jiahai Wang:
Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2119-2132 (2023) - [j79]Zusheng Zhang, Yanghui Rao, Hanjiang Lai, Jiahai Wang, Jian Yin:
TADC: A Topic-Aware Dynamic Convolutional Neural Network for Aspect Extraction. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3912-3924 (2023) - [j78]Zizhen Zhang, Zhiyuan Wu, Hang Zhang, Jiahai Wang:
Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7978-7991 (2023) - [c68]Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su, Jiahai Wang:
RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks. ACL (1) 2023: 2757-2774 - [c67]Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan:
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. ACL (Findings) 2023: 7587-7600 - [c66]Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang, Minghui Song, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang:
Democratizing Reasoning Ability: Tailored Learning from Large Language Model. EMNLP 2023: 1948-1966 - [c65]Junfa Lin, Jiahai Wang:
Diversity-Enhanced Recommendation with Knowledge-Aware Devoted and Diverse Interest Learning. IJCNN 2023: 1-8 - [c64]Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen:
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. NeurIPS 2023 - [c63]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. NeurIPS 2023 - [c62]Xin Du, Jiahai Wang, Siyuan Chen:
Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control. PAKDD (2) 2023: 349-360 - [c61]Meixiu Long, Siyuan Chen, Xin Du, Jiahai Wang:
DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage. ECML/PKDD (6) 2023: 122-138 - [i29]Meixiu Long, Siyuan Chen, Xin Du, Jiahai Wang:
DegUIL: Degree-aware Graph Neural Networks for Long-tailed User Identity Linkage. CoRR abs/2308.05322 (2023) - [i28]Jianpeng Zhou, Wanjun Zhong, Yanlin Wang, Jiahai Wang:
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning. CoRR abs/2310.01446 (2023) - [i27]Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang, Minghui Song, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang:
Democratizing Reasoning Ability: Tailored Learning from Large Language Model. CoRR abs/2310.13332 (2023) - [i26]Jinbiao Chen, Zizhen Zhang, Zhiguang Cao, Yaoxin Wu, Yining Ma, Te Ye, Jiahai Wang:
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement. CoRR abs/2310.15195 (2023) - [i25]Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen:
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization. CoRR abs/2310.15196 (2023) - 2022
- [j77]Jinbiao Chen, Huiyu Zhang, Qingxin Chen, Ning Mao, Jiahai Wang:
Performance analysis of flexible flow shop with parallel manufacturing cells. Comput. Ind. Eng. 173: 108739 (2022) - [j76]Xin Du, Siyuan Chen, Zhiyue Liu, Jiahai Wang:
Multiple userids identification with deep learning. Expert Syst. Appl. 207: 117924 (2022) - [j75]Yingli Li, Jiahai Wang, Zhengwei Liu:
A simple two-agent system for multi-objective flexible job-shop scheduling. J. Comb. Optim. 43(1): 42-64 (2022) - [j74]Yang Yu, Shangce Gao, MengChu Zhou, Yirui Wang, Zhenyu Lei, Tengfei Zhang, Jiahai Wang:
Scale-free network-based differential evolution to solve function optimization and parameter estimation of photovoltaic models. Swarm Evol. Comput. 74: 101142 (2022) - [j73]Xiaoqing Huang, Ziheng Li, Meishan Peng, Ziying Zeng, Zeling Huang, Fenggang Liu, Xunyu Chen, Zhiwei Liang, Jiahai Wang:
Synthesis of Bis(N, N-diethyl)aniline-Based, Nonlinear, Optical Chromophores with Increased Electro-Optic Activity by Optimizing the Thiolated Isophorone Bridge. Symmetry 14(3): 586 (2022) - [j72]Qidong Lai, Zizhen Zhang, Mingzhu Yu, Jiahai Wang:
Split-Delivery Capacitated Arc-Routing Problem With Time Windows. IEEE Trans. Intell. Transp. Syst. 23(3): 2882-2887 (2022) - [j71]Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, Shangce Gao:
Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3476-3491 (2022) - [c60]Xiaopeng Zheng, Zhiyue Liu, Zizhen Zhang, Zhaoyang Wang, Jiahai Wang:
UECA-Prompt: Universal Prompt for Emotion Cause Analysis. COLING 2022: 7031-7041 - [c59]Junfa Lin, Siyuan Chen, Jiahai Wang:
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation. DASFAA (2) 2022: 264-271 - [c58]Zhiyue Liu, Zhaoyang Wang, Jiahai Wang:
A Coarse-to-Fine Training Paradigm for Dialogue Summarization. ICANN (1) 2022: 416-427 - [c57]Xiangkai Yang, Wenjian Luo, Licai Zhang, Zhijian Chen, Jiahai Wang:
Data Leakage Attack via Backdoor Misclassification Triggers of Deep Learning Models. ICDIS 2022: 61-66 - [c56]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. IJCAI 2022: 4531-4537 - [c55]Yongxin Zhang, Jiahai Wang, Zizhen Zhang:
Edge-based Formulation with Graph Attention Network for Practical Vehicle Routing Problem with Time Windows. IJCNN 2022: 1-8 - [c54]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
Analytical Reasoning of Text. NAACL-HLT (Findings) 2022: 2306-2319 - [c53]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. NAACL-HLT 2022: 4230-4243 - [c52]Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee:
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. NeurIPS 2022 - [c51]Jinbiao Chen, Huanhuan Huang, Zizhen Zhang, Jiahai Wang:
Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows. PPSN (1) 2022: 356-370 - [c50]Hang Zhang, Zizhen Zhang, Jinbiao Chen, Jiahai Wang:
Solving Quadratic Traveling Salesman Problem with Deep Reinforcement Learning. SMC 2022: 2508-2513 - [c49]Te Ye, Zizhen Zhang, Jinbiao Chen, Jiahai Wang:
Weight-Specific-Decoder Attention Model to Solve Multiobjective Combinatorial Optimization Problems. SMC 2022: 2839-2844 - [i24]Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA. CoRR abs/2201.05880 (2022) - [i23]Junfa Lin, Siyuan Chen, Jiahai Wang:
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation. CoRR abs/2201.10751 (2022) - [i22]Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
ProQA: Structural Prompt-based Pre-training for Unified Question Answering. CoRR abs/2205.04040 (2022) - [i21]Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving Task Generalization via Unified Schema Prompt. CoRR abs/2208.03229 (2022) - [i20]Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee:
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation. CoRR abs/2210.07686 (2022) - [i19]Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan:
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. CoRR abs/2210.11265 (2022) - 2021
- [j70]Jieyang Peng, Dongkun Wang, Andreas Kimmig, Mikhail A. Langovoy, Jiahai Wang, Jivka Ovtcharova:
Ein hybrides RNN-Modell für die mittel- bis langfristige Vorhersage des Strombedarfs unter Berücksichtigung von Wettereinflüssen. Autom. 69(1): 73-83 (2021) - [j69]Zhiyue Liu, Jiahai Wang, Xin Du, Yanghui Rao, Xiaojun Quan:
GSMNet: Global Semantic Memory Network for Aspect-Level Sentiment Classification. IEEE Intell. Syst. 36(5): 122-130 (2021) - [j68]Yingli Li, Jiahai Wang, Zhengwei Liu:
An Adaptive Multi-Objective Evolutionary Algorithm with Two-Stage Local Search for Flexible Job-Shop Scheduling. Int. J. Comput. Intell. Syst. 14(1): 54-66 (2021) - [j67]Yanyi Cao, Wenjun Jiang, Jiahai Wang:
Anti-synchronization of delayed memristive neural networks with leakage term and reaction-diffusion terms. Knowl. Based Syst. 233: 107539 (2021) - [j66]Xiaorui Qin, Yanghui Rao, Haoran Xie, Jiahai Wang, Fu Lee Wang:
TACN: A Topical Adversarial Capsule Network for textual network embedding. Neural Networks 144: 766-777 (2021) - [j65]Xin Jin, Hu Qin, Zizhen Zhang, Mengchu Zhou, Jiahai Wang:
Planning of Garbage Collection Service: An Arc-Routing Problem With Time-Dependent Penalty Cost. IEEE Trans. Intell. Transp. Syst. 22(5): 2692-2705 (2021) - [j64]Jiahai Wang, Liangsheng Yuan, Zizhen Zhang, Shangce Gao, Yuyan Sun, Yalan Zhou:
Multiobjective Multiple Neighborhood Search Algorithms for Multiobjective Fleet Size and Mix Location-Routing Problem With Time Windows. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2284-2298 (2021) - [j63]Zizhen Zhang, Luyao Teng, Mengchu Zhou, Jiahai Wang, Hua Wang:
Enhanced Branch-and-Bound Framework for a Class of Sequencing Problems. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 2726-2736 (2021) - [j62]Shangce Gao, Yang Yu, Yirui Wang, Jiahai Wang, Jiujun Cheng, MengChu Zhou:
Chaotic Local Search-Based Differential Evolution Algorithms for Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3954-3967 (2021) - [c48]Siyuan Chen, Jiahai Wang, Guoqing Li:
Neural Relational Inference with Efficient Message Passing Mechanisms. AAAI 2021: 7055-7063 - [c47]Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan Duan:
UserAdapter: Few-Shot User Learning in Sentiment Analysis. ACL/IJCNLP (Findings) 2021: 1484-1488 - [c46]Zehua Hu, Jiahai Wang, Siyuan Chen, Xin Du:
A Semi-supervised Framework with Efficient Feature Extraction and Network Alignment for User Identity Linkage. DASFAA (2) 2021: 675-691 - [c45]Zhiyue Liu, Jiahai Wang:
A Cooperative Framework with Generative Adversarial Networks and Entropic Auto-Encoders for Text Generation. IJCNN 2021: 1-8 - [c44]Yongxin Zhang, Jiahai Wang, Zizhen Zhang, Yalan Zhou:
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization. IJCNN 2021: 1-8 - [c43]Zhiyue Liu, Jiahai Wang, Zhenghong Li:
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement. ECML/PKDD (5) 2021: 302-318 - [c42]Xin Du, Jiahai Wang, Siyuan Chen, Zhiyue Liu:
Multi-agent Deep Reinforcement Learning with Spatio-Temporal Feature Fusion for Traffic Signal Control. ECML/PKDD (4) 2021: 470-485 - [c41]Guojin Wu, Zizhen Zhang, Hong Liu, Jiahai Wang:
Solving Time-Dependent Traveling Salesman Problem with Time Windows with Deep Reinforcement Learning. SMC 2021: 558-563 - [i18]Siyuan Chen, Jiahai Wang, Guoqing Li:
Neural Relational Inference with Efficient Message Passing Mechanisms. CoRR abs/2101.09486 (2021) - [i17]Yang Yu, Shangce Gao, MengChu Zhou, Yirui Wang, Zhenyu Lei, Tengfei Zhang, Jiahai Wang:
Scale-free Network-based Differential Evolution. CoRR abs/2101.11275 (2021) - [i16]Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan:
AR-LSAT: Investigating Analytical Reasoning of Text. CoRR abs/2104.06598 (2021) - [i15]Zizhen Zhang, Zhiyuan Wu, Jiahai Wang:
Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems. CoRR abs/2105.02741 (2021) - [i14]Zhiyue Liu, Jiahai Wang, Zhenghong Li:
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement. CoRR abs/2106.15142 (2021) - [i13]Yongxin Zhang, Jiahai Wang, Zizhen Zhang, Yalan Zhou:
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization. CoRR abs/2107.07961 (2021) - 2020
- [j61]Jiahai Wang, Yuyan Sun, Zizhen Zhang, Shangce Gao:
Solving multitrip pickup and delivery problem with time windows and manpower planning using multiobjective algorithms. IEEE CAA J. Autom. Sinica 7(4): 1134-1153 (2020) - [j60]Zizhen Zhang, MengChu Zhou, Jiahai Wang:
Construction-Based Optimization Approaches to Airline Crew Rostering Problem. IEEE Trans Autom. Sci. Eng. 17(3): 1399-1409 (2020) - [j59]Jian Sun, Shangce Gao, Hongwei Dai, Jiujun Cheng, MengChu Zhou, Jiahai Wang:
Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks. IEEE Trans. Cybern. 50(1): 233-246 (2020) - [j58]Xueming Yan, Han Huang, Zhifeng Hao, Jiahai Wang:
A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems. IEEE Trans. Evol. Comput. 24(1): 129-141 (2020) - [j57]Jiahai Wang, Binzhong Cen, Shangce Gao, Zizhen Zhang, Yuren Zhou:
Cooperative Evolutionary Framework With Focused Search for Many-Objective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 398-412 (2020) - [j56]Yalan Zhou, Min Zhu, Jiahai Wang, Zizhen Zhang, Yi Xiang, Jun Zhang:
Tri-Goal Evolution Framework for Constrained Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 50(8): 3086-3099 (2020) - [j55]Jiahai Wang, Wenbin Ren, Zizhen Zhang, Han Huang, Yuren Zhou:
A Hybrid Multiobjective Memetic Algorithm for Multiobjective Periodic Vehicle Routing Problem With Time Windows. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4732-4745 (2020) - [c40]Zhiyue Liu, Jiahai Wang, Zhiwei Liang:
CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation. AAAI 2020: 8425-8432 - [c39]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c38]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. ACL 2020: 6170-6180 - [c37]Wuya Chen, Xiaojun Quan, Chunyu Kit, Zhengcheng Min, Jiahai Wang:
Multi-choice Relational Reasoning for Machine Reading Comprehension. COLING 2020: 6448-6458 - [c36]Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu:
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage. ECAI 2020: 1754-1761 - [c35]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. EMNLP (1) 2020: 2461-2470 - [c34]Chenhui Liu, Zhiyue Liu, Jiahai Wang, Yalan Zhou:
Template-Enhanced Aspect Term Extraction with Bi-Contextual Convolutional Neural Networks. NCAA 2020: 475-487 - [c33]Tao Jiang, Jiahai Wang, Zhiyue Liu, Yingbiao Ling:
Fusion-Extraction Network for Multimodal Sentiment Analysis. PAKDD (2) 2020: 785-797 - [c32]Jieyang Peng, Jiahai Wang, Dongkun Wang, Andreas Kimmig, Jivka Ovtcharova:
The Research of Flexible Scheduling of Workshop Based on Artificial Fish Swarm Algorithm and Knowledge Mining. ICSI 2020: 104-116 - [c31]Yingli Li, Jiahai Wang:
Multi-objective Dynamic Scheduling Model of Flexible Job Shop Based on NSGAII Algorithm and Scroll Window Technology. ICSI 2020: 435-444 - [i12]Bo Peng, Jiahai Wang, Zizhen Zhang:
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems. CoRR abs/2002.03282 (2020) - [i11]Youwei Song, Jiahai Wang, Zhiwei Liang, Zhiyue Liu, Tao Jiang:
Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference. CoRR abs/2002.04815 (2020) - [i10]Hong Wu, Jiahai Wang, Zizhen Zhang:
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization. CoRR abs/2002.05484 (2020) - [i9]Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu:
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage. CoRR abs/2003.07122 (2020) - [i8]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts. CoRR abs/2004.12057 (2020) - [i7]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. CoRR abs/2004.13659 (2020) - [i6]Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Neural Deepfake Detection with Factual Structure of Text. CoRR abs/2010.07475 (2020)
2010 – 2019
- 2019
- [j54]Zizhen Zhang, Yuyan Sun, Hong Xie, Yi Teng, Jiahai Wang:
GMMA: GPU-based multiobjective memetic algorithms for vehicle routing problem with route balancing. Appl. Intell. 49(1): 63-78 (2019) - [j53]Qinjuan Yang, Yanghui Rao, Haoran Xie, Jiahai Wang, Fu Lee Wang, Wai Hong Chan:
Segment-Level Joint Topic-Sentiment Model for Online Review Analysis. IEEE Intell. Syst. 34(1): 43-50 (2019) - [j52]Jiahai Wang, Guanxi Liang, Jun Zhang:
Cooperative Differential Evolution Framework for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 49(6): 2060-2072 (2019) - [j51]Yuren Zhou, Yi Xiang, Zefeng Chen, Jun He, Jiahai Wang:
A Scalar Projection and Angle-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Cybern. 49(6): 2073-2084 (2019) - [j50]Jiahai Wang, Taiyao Weng, Qingfu Zhang:
A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows. IEEE Trans. Cybern. 49(7): 2467-2478 (2019) - [j49]Shangce Gao, Mengchu Zhou, Yirui Wang, Jiujun Cheng, Hanaki Yachi, Jiahai Wang:
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction. IEEE Trans. Neural Networks Learn. Syst. 30(2): 601-614 (2019) - [c30]Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao:
Targeted Sentiment Classification with Attentional Encoder Network. ICANN (4) 2019: 93-103 - [c29]Tongwen Wu, Zizhen Zhang, Yanzhi Li, Jiahai Wang:
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs. ICTAI 2019: 1260-1264 - [c28]Tao Jiang, Jiahai Wang, Youwei Song, Yanghui Rao:
A Position-aware Transformation Network for Aspect-level Sentiment Classification. IJCNN 2019: 1-8 - [c27]Hong Wu, Jiahai Wang, Zizhen Zhang:
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization. ISICA 2019: 575-589 - [c26]Bo Peng, Jiahai Wang, Zizhen Zhang:
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems. ISICA 2019: 636-650 - [c25]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-training. NLPCC (1) 2019: 16-28 - [i5]Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao:
Attentional Encoder Network for Targeted Sentiment Classification. CoRR abs/1902.09314 (2019) - [i4]Tongwen Wu, Zizhen Zhang, Yanzhi Li, Jiahai Wang:
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs. CoRR abs/1906.09372 (2019) - [i3]Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Reasoning Over Semantic-Level Graph for Fact Checking. CoRR abs/1909.03745 (2019) - [i2]Zhiyue Liu, Jiahai Wang, Zhiwei Liang:
CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation. CoRR abs/1911.06641 (2019) - 2018
- [j48]Yong Wang, Zhi-Zhong Liu, Jianbin Li, Han-Xiong Li, Jiahai Wang:
On the selection of solutions for mutation in differential evolution. Frontiers Comput. Sci. 12(2): 297-315 (2018) - [j47]Ying Zhou, Jiahai Wang, Ziyan Wu, Keke Wu:
A multi-objective tabu search algorithm based on decomposition for multi-objective unconstrained binary quadratic programming problem. Knowl. Based Syst. 141: 18-30 (2018) - [j46]Zefeng Chen, Yuren Zhou, Xiaorong Zhao, Yi Xiang, Jiahai Wang:
A historical solutions based evolution operator for decomposition-based many-objective optimization. Swarm Evol. Comput. 41: 167-189 (2018) - [j45]Zizhen Zhang, Ming Liu, Chung-Yee Lee, Jiahai Wang:
The Quay Crane Scheduling Problem With Stability Constraints. IEEE Trans Autom. Sci. Eng. 15(3): 1399-1412 (2018) - [i1]Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin:
Improving Question Answering by Commonsense-Based Pre-Training. CoRR abs/1809.03568 (2018) - 2017
- [j44]Yiqiao Cai, Guo Sun, Tian Wang, Hui Tian, Yonghong Chen, Jiahai Wang:
Neighborhood-adaptive differential evolution for global numerical optimization. Appl. Soft Comput. 59: 659-706 (2017) - [j43]Wei Chen, Jian Sun, Shangce Gao, Jiujun Cheng, Jiahai Wang, Yuki Todo:
Using a Single Dendritic Neuron to Forecast Tourist Arrivals to Japan. IEICE Trans. Inf. Syst. 100-D(1): 190-202 (2017) - [j42]Shangce Gao, Yirui Wang, Jiahai Wang, Jiujun Cheng:
Understanding differential evolution: A Poisson law derived from population interaction network. J. Comput. Sci. 21: 140-149 (2017) - [j41]Yalan Zhou, Jiahai Wang, Jian Chen, Shangce Gao, Luyao Teng:
Ensemble of many-objective evolutionary algorithms for many-objective problems. Soft Comput. 21(9): 2407-2419 (2017) - [c24]Yuyan Sun, Yuxuan Liang, Zizhen Zhang, Jiahai Wang:
M-NSGA-II: A Memetic Algorithm for Vehicle Routing Problem with Route Balancing. IEA/AIE (1) 2017: 61-71 - 2016
- [j40]Yalan Zhou, Jiahai Wang, Yuren Zhou, Zhanyan Qiu, Zhisheng Bi, Yiqiao Cai:
Differential evolution with guiding archive for global numerical optimization. Appl. Soft Comput. 43: 424-440 (2016) - [j39]Tianle Zhou, Shangce Gao, Jiahai Wang, Chaoyi Chu, Yuki Todo, Zheng Tang:
Financial time series prediction using a dendritic neuron model. Knowl. Based Syst. 105: 214-224 (2016) - [j38]Yiqiao Cai, Jiahai Wang, Yonghong Chen, Tian Wang, Hui Tian, Wei Luo:
Adaptive direction information in differential evolution for numerical optimization. Soft Comput. 20(2): 465-494 (2016) - [j37]Yalan Zhou, Jiahai Wang, Ningbo Luo, Zizhen Zhang:
Multiobjective local search for community detection in networks. Soft Comput. 20(8): 3273-3282 (2016) - [j36]Jiahai Wang, Ying Zhou, Yong Wang, Jun Zhang, C. L. Philip Chen, Zibin Zheng:
Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms. IEEE Trans. Cybern. 46(3): 582-594 (2016) - [j35]Jiahai Wang, Weiwei Zhang, Jun Zhang:
Cooperative Differential Evolution With Multiple Populations for Multiobjective Optimization. IEEE Trans. Cybern. 46(12): 2848-2861 (2016) - [c23]Yalan Zhou, Jiahai Wang, Shangce Gao, Xing Yang, Jian Yin:
Improving Artificial Bee Colony Algorithm with Historical Archive. BIC-TA (2) 2016: 185-190 - 2015
- [j34]Wenhong Wei, Jiahai Wang, Ming Tao:
Constrained differential evolution with multiobjective sorting mutation operators for constrained optimization. Appl. Soft Comput. 33: 207-222 (2015) - [j33]Yiqiao Cai, Jiahai Wang:
Differential evolution with hybrid linkage crossover. Inf. Sci. 320: 244-287 (2015) - [j32]Jiahai Wang, Chenglin Zhong, Ying Zhou, Yalan Zhou:
Multiobjective optimization algorithm with objective-wise learning for continuous multiobjective problems. J. Ambient Intell. Humaniz. Comput. 6(5): 571-585 (2015) - [j31]Ying Zhou, Jiahai Wang:
A Local Search-Based Multiobjective Optimization Algorithm for Multiobjective Vehicle Routing Problem With Time Windows. IEEE Syst. J. 9(3): 1100-1113 (2015) - [j30]Jiahai Wang, Yiqiao Cai:
Multiobjective evolutionary algorithm for frequency assignment problem in satellite communications. Soft Comput. 19(5): 1229-1253 (2015) - 2014
- [j29]Jiahai Wang, Jianjun Liao, Ying Zhou, Yiqiao Cai:
Differential Evolution Enhanced With Multiobjective Sorting-Based Mutation Operators. IEEE Trans. Cybern. 44(12): 2792-2805 (2014) - 2013
- [j28]Yiqiao Cai, Jiahai Wang:
Differential Evolution With Neighborhood and Direction Information for Numerical Optimization. IEEE Trans. Cybern. 43(6): 2202-2215 (2013) - [c22]Zhisheng Bi, Jiahai Wang, Jian Yin:
A Soft Subspace Clustering Algorithm Based on Multi-Objective Optimization and Reliability Measure. BIC-TA 2013: 239-247 - [c21]Jiahai Wang, Chenglin Zhong, Ying Zhou:
Single Objective Guided Multiobjective Optimization Algorithm. EIDWT 2013: 178-183 - 2012
- [j27]Yiqiao Cai, Jiahai Wang, Jian Yin:
Learning-enhanced differential evolution for numerical optimization. Soft Comput. 16(2): 303-330 (2012) - [j26]Jiahai Wang, Ying Zhou, Yiqiao Cai, Jian Yin:
Learnable tabu search guided by estimation of distribution for maximum diversity problems. Soft Comput. 16(4): 711-728 (2012) - 2011
- [j25]Jiahai Wang, Yiqiao Cai, Yalan Zhou, Rong Long Wang, Caiwei Li:
Discrete particle swarm optimization based on estimation of distribution for terminal assignment problems. Comput. Ind. Eng. 60(4): 566-575 (2011) - [j24]Jiahai Wang, Yiqiao Cai, Jian Yin:
Multi-start stochastic competitive Hopfield neural network for frequency assignment problem in satellite communications. Expert Syst. Appl. 38(1): 131-145 (2011) - [j23]Jiahai Wang, Zhanghui Kuang, Yalan Zhou, Rong Long Wang:
Improved stochastic competitive Hopfield network for polygonal approximation. Expert Syst. Appl. 38(4): 4109-4125 (2011) - [j22]Yiqiao Cai, Jiahai Wang, Jian Yin, Yalan Zhou:
Memetic clonal selection algorithm with EDA vaccination for unconstrained binary quadratic programming problems. Expert Syst. Appl. 38(6): 7817-7827 (2011) - [j21]Ying Zhou, Jiahai Wang, Jian Yin:
Cooperative annealing Hopfield network for unconstrained binary quadratic programming problem. Expert Syst. Appl. 38(11): 13894-13905 (2011) - [j20]Jiahai Wang, Ying Zhou, Jian Yin:
Combining tabu Hopfield network and estimation of distribution for unconstrained binary quadratic programming problem. Expert Syst. Appl. 38(12): 14870-14881 (2011) - 2010
- [j19]Jiahai Wang:
Discrete Hopfield network combined with estimation of distribution for unconstrained binary quadratic programming problem. Expert Syst. Appl. 37(8): 5758-5774 (2010)
2000 – 2009
- 2009
- [j18]Jiahai Wang, Yalan Zhou:
Stochastic optimal competitive Hopfield network for partitional clustering. Expert Syst. Appl. 36(2): 2072-2080 (2009) - [j17]Jiahai Wang, Zhanghui Kuang, Xinshun Xu, Yalan Zhou:
Discrete particle swarm optimization based on estimation of distribution for polygonal approximation problems. Expert Syst. Appl. 36(5): 9398-9408 (2009) - [j16]Jiahai Wang, Yalan Zhou, Jian Yin, Yunong Zhang:
Competitive Hopfield Network Combined With Estimation of Distribution for Maximum Diversity Problems. IEEE Trans. Syst. Man Cybern. Part B 39(4): 1048-1066 (2009) - [c20]Yiqiao Cai, Jiahai Wang, Jian Yin, Caiwei Li, Yunong Zhang:
Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem. ISNN (1) 2009: 75-83 - 2008
- [j15]Jiahai Wang:
Hopfield Neural Network Based on Estimation of Distribution for Two-Page Crossing Number Problem. IEEE Trans. Circuits Syst. II Express Briefs 55-II(8): 797-801 (2008) - [c19]Jiahai Wang, Yunong Zhang, Yalan Zhou, Jian Yin:
Discrete quantum-behaved particle swarm optimization based on estimation of distribution for combinatorial optimization. IEEE Congress on Evolutionary Computation 2008: 897-904 - [c18]Xinshun Xu, Jun Ma, Jiahai Wang:
A Hopfield-Type Neural Network for Haplotype Assembly Problem. ICNC (5) 2008: 8-12 - [c17]Xinshun Xu, Zhiping Jia, Jun Ma, Jiahai Wang:
A Self-Organizing Map Algorithm for the Traveling Salesman Problem. ICNC (3) 2008: 431-435 - [c16]Yalan Zhou, Jiahai Wang, Jian Yin:
Genetic Particle Swarm Optimization Based on Multiagent Model for Combinatorial Optimization Problem. ICNSC 2008: 293-297 - [c15]Weimu Ma, Yunong Zhang, Jiahai Wang:
MATLAB Simulink modeling and simulation of Zhang neural networks for online time-varying sylvester equation solving. IJCNN 2008: 285-289 - [c14]Zhanghui Kuang, Wei Bi, Jiahai Wang:
Competitive Hopfield Neural Network with Periodic Stochastic Dynamics for Partitional Clustering. ISICA 2008: 280-289 - [c13]Ying Zhou, Zhanghui Kuang, Jiahai Wang:
A Chaotic Neural Network Combined Heuristic Strategy for Multidimensional Knapsack Problem. ISICA 2008: 715-722 - 2007
- [j14]Rong Long Wang, Shinichi Fukuta, Jiahai Wang, Kozo Okazaki:
A Genetic Algorithm with Conditional Crossover and Mutation Operators and Its Application to Combinatorial Optimization Problems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(1): 287-294 (2007) - [c12]Jiahai Wang, Yalan Zhou:
Hybrid quantum particle swarm optimization algorithm for combinatorial optimization problem. GECCO 2007: 185 - [c11]Jiahai Wang:
A Novel Discrete Particle Swarm Optimization Based on Estimation of Distribution. ICIC (2) 2007: 791-802 - [c10]Jiahai Wang, Yalan Zhou:
Quantum-Behaved Particle Swarm Optimization with Generalized Local Search Operator for Global Optimization. ICIC (2) 2007: 851-860 - [c9]Yalan Zhou, Jiahai Wang, Jian Yin:
A Discrete Estimation of Distribution Particle Swarm Optimization for Combinatorial Optimization Problems. ICNC (4) 2007: 80-84 - [c8]Jiahai Wang:
A Hybrid of Particle Swarm Optimization and Hopfield Networks for Bipartite Subgraph Problems. ISNN (3) 2007: 184-193 - [c7]Jiahai Wang:
Genetic Particle Swarm Optimization Based on Estimation of Distribution. LSMS (1) 2007: 287-296 - [c6]Jiahai Wang:
A Memetic Algorithm with Genetic Particle Swarm Optimization and Neural Network for Maximum Cut Problems. LSMS (1) 2007: 297-306 - 2006
- [j13]Jiahai Wang:
An improved discrete Hopfield neural network for Max-Cut problems. Neurocomputing 69(13-15): 1665-1669 (2006) - 2005
- [j12]Guangpu Xia, Zheng Tang, Yong Li, Jiahai Wang:
A binary Hopfield neural network with hysteresis for large crossbar packet-switches. Neurocomputing 67: 417-425 (2005) - [j11]Jiahai Wang, Zheng Tang, Xinshun Xu, Yong Li:
A discrete competitive Hopfield neural network for cellular channel assignment problems. Neurocomputing 67: 436-442 (2005) - [j10]Xinshun Xu, Zheng Tang, Jiahai Wang:
A method to improve the transiently chaotic neural network. Neurocomputing 67: 456-463 (2005) - [j9]Jiahai Wang:
An Improved Neural Computing Algorithm for the m_Way Graph Partitioning Problem. Neural Parallel Sci. Comput. 13: 417-426 (2005) - 2004
- [j8]Jiahai Wang, Zheng Tang, Rong Long Wang:
A Chaotic Maximum Neural Network for Maximum Clique Problem. IEICE Trans. Inf. Syst. 87-D(7): 1953-1961 (2004) - [j7]Jiahai Wang, Zheng Tang, Rong Long Wang:
An Annealed Chaotic Maximum Neural Network For Bipartite Subgraph Problem. Int. J. Neural Syst. 14(2): 107-116 (2004) - [j6]Jiahai Wang, Zheng Tang, Qi Ping Cao, Rong Long Wang:
Optimal competitive hopfield network with stochastic dynamics for maximum cut problem. Int. J. Neural Syst. 14(4): 257-265 (2004) - [j5]Xinshun Xu, Zheng Tang, Jiahai Wang:
An improved transiently chaotic neural network for the maximum independent set problem. Int. J. Neural Syst. 14(6): 381-392 (2004) - [j4]Jiahai Wang, Zheng Tang, Rong Long Wang:
Maximum neural network with nonlinear self-feedback for maximum clique problem. Neurocomputing 57: 485-492 (2004) - [j3]Jiahai Wang, Zheng Tang:
An improved optimal competitive Hopfield network for bipartite subgraph problems. Neurocomputing 61: 413-419 (2004) - [c5]Xinshun Xu, Jiahai Wang, Zheng Tang, Xiaoming Chen, Yong Li, Guangpu Xia:
A Method to Improve the Transiently Chaotic Neural Network. ISNN (1) 2004: 401-405 - [c4]Guangpu Xia, Zheng Tang, Jiahai Wang, Rong Long Wang, Yong Li, Guangan Xia:
A New Parallel Improvement Algorithm for Maximum Cut Problem. ISNN (1) 2004: 419-424 - [c3]Jiahai Wang, Xinshun Xu, Zheng Tang, Weixing Bi, Xiaoming Chen, Yong Li:
A New Neural Network Algorithm for Clique Vertex-Partition Problem. ISNN (1) 2004: 425-429 - [c2]Xiaoming Chen, Zheng Tang, Xinshun Xu, Songsong Li, Guangpu Xia, Jiahai Wang:
An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem. ISNN (1) 2004: 430-435 - [c1]Yong Li, Zheng Tang, Rong Long Wang, Guangpu Xia, Jiahai Wang:
A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem. ISNN (1) 2004: 442-447 - 2003
- [j2]Zheng Tang, Jiahai Wang, Qi Ping Cao:
A Gradient Ascent Learning Algorithm for Elastic Nets. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(4): 940-945 (2003) - [j1]Jiahai Wang, Zheng Tang, Qi Ping Cao, Xinshun Xu:
An Elastic Net Learning Algorithm for Edge Linking of Images. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(11): 2879-2886 (2003)
Coauthor Index
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