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2020 – today

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2025
[c40]
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Yu Sheng, Wanting Wen, Linjing Li, Daniel Zeng:
Evaluating Generalization Capability of Language Models across Abductive, Deductive and Inductive Logical Reasoning. COLING 2025: 4945-4957
2024
[j24]
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Jiahui Shi, Linjing Li, Daniel Zeng:
Towards a unified framework for imperceptible textual attacks. Appl. Intell. 54(3): 2798-2811 (2024)
[j23]
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Mingming Guo, Erda Chen, Ye Tian, Linjing Li, Mengqi Xu, Jialing Le, Hua Zhang:
Supersonic combustion flow field reconstruction based on multi-view domain adaptation generative network in scramjet combustor. Eng. Appl. Artif. Intell. 136: 108981 (2024)
[j22]
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Jiahui Shi, Linjing Li, Daniel Zeng:
SHAPAttack: Shapley-Guided Multigranularity Adversarial Attack Against Text Transformers. IEEE Intell. Syst. 39(3): 45-53 (2024)
[j21]
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Nuo Chen, Linjing Li, Wenji Mao:
Equilibrium Strategy of the Pursuit-Evasion Game in Three-Dimensional Space. IEEE CAA J. Autom. Sinica 11(2): 446-458 (2024)
[j20]
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Hao Niu, Linjing Li, Bo Yuan, Min Zhu, Xiuyuan Xu, Xi Lu, Fengming Luo, Zhang Yi:
Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics. Int. J. Comput. Intell. Syst. 17(1): 21 (2024)
[j19]
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Jie Bai, Kang Zhao, Linjing Li, Daniel Dajun Zeng, Qiudan Li, Fan Yang, Quannan Zu:
Graph Representation Learning Based on Cognitive Spreading Activations. IEEE Trans. Knowl. Data Eng. 36(12): 8408-8420 (2024)
[j18]
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Zikang Wang, Linjing Li, Daniel Zeng:
Integrating Relational Knowledge With Text Sequences for Script Event Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9443-9454 (2024)
[c39]
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Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li:
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. AAMAS 2024: 2357-2359
[c38]
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Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Zeng:
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons. EMNLP 2024: 7388-7402
[c37]
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Yu Sheng, Linjing Li, Yifei Wang, Daniel Zeng:
Integrating Language Models with Symbolic Formulas for First-Order Logic Reasoning. ICASSP 2024: 11586-11590
[c36]
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Jinlin Li, Zikang Wang, Linjing Li, Daniel Dajun Zeng:
BERT-FKGC: Text-Enhanced Few-Shot Representation Learning for Knowledge Graphs. IJCNN 2024: 1-8
[c35]
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Jinlin Li, Zikang Wang, Linjing Li, Daniel Dajun Zeng:
Relation Adaptive Representation Learning Based on Factual Information Interaction for One-Shot Knowledge Graph Completion. IJCNN 2024: 1-8
[c34]
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Xufeng Zhou, Linjing Li, Daniel Dajun Zeng:
RRdE: A Decision Making Framework for Language Agents in Interactive Environments. IJCNN 2024: 1-8
[i7]
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  - journals/corr/abs-2402-18617
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Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, Jiachen Li:
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. CoRR abs/2402.18617 (2024)
[i6]
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  - journals/corr/abs-2408-03247
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Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Dajun Zeng:
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons. CoRR abs/2408.03247 (2024)
[i5]
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  - journals/corr/abs-2409-19363
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Shiqi Lei, Kanghon Lee, Linjing Li, Jinkyoo Park:
Learning Strategy Representation for Imitation Learning in Multi-Agent Games. CoRR abs/2409.19363 (2024)
2023
[j17]
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Rashid Ali, Ran Liu, Anand Nayyar, Idrees Waris, Linjing Li, Mohd Asif Shah:
Intelligent Driver Model-Based Vehicular Ad Hoc Network Communication in Real-Time Using 5G New Radio Wireless Networks. IEEE Access 11: 4956-4971 (2023)
[j16]
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Zikang Wang, Linjing Li, Jinlin Li, Pengfei Zhao, Daniel Zeng:
CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs. IEEE Intell. Syst. 38(5): 56-64 (2023)
[c33]
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Xingjin Wang, Linjing Li, Daniel Dajun Zeng:
LDM²: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement. EMNLP (Findings) 2023: 4660-4681
[c32]
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Xingjin Wang, Linjing Li, Daniel Zeng:
Staged Long Text Generation with Progressive Task-Oriented Prompts. ICONIP (4) 2023: 458-470
[c31]
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  - conf/iconip/ZengLWL023
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Jielin Zeng, Jiaqi Liang, Xiaoxuan Wang, Linjing Li, Daniel Zeng:
A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing. ICONIP (14) 2023: 510-521
[c30]
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Haorui Li, Jiaqi Liang, Linjing Li, Daniel Zeng:
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning. ICONIP (1) 2023: 564-577
[c29]
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Chengzhi Jiang, Linjing Li, Daniel Dajun Zeng, Xiaoxuan Wang:
A Character-level Short Text Classification Model Based On Spiking Neural Networks. IJCNN 2023: 1-8
[c28]
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Jiahui Shi, Linjing Li, Daniel Dajun Zeng:
Towards Better Word Importance Ranking in Textual Adversarial Attacks. IJCNN 2023: 1-8
[c27]
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Jiakai Geng, Chenyang Zhang, Linjing Li, Qing Yang, Daniel Dajun Zeng:
PCEN: Potential Correlation-Enhanced Network for Multimodal Named Entity Recognition. ISI 2023: 1-6
[c26]
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Fan Yang, Jie Bai, Linjing Li, Daniel Zeng:
A Continual Learning Framework for Event Prediction with Temporal Knowledge Graphs. ISI 2023: 1-6
[i4]
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  - journals/corr/abs-2308-00989
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Haorui Li, Jiaqi Liang, Linjing Li, Daniel Dajun Zeng:
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning. CoRR abs/2308.00989 (2023)
[i3]
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  - journals/corr/abs-2312-08402
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Xingjin Wang, Linjing Li, Daniel Dajun Zeng:
LDM²: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement. CoRR abs/2312.08402 (2023)
2022
[j15]
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Zikang Wang, Linjing Li, Daniel Dajun Zeng:
Hierarchical Multihop Reasoning on Knowledge Graphs. IEEE Intell. Syst. 37(1): 71-78 (2022)
[j14]
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Jiahui Shi, Linjing Li, Daniel Zeng:
ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks. Neurocomputing 510: 59-68 (2022)
[j13]
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  - journals/sensors/GuoLHG22
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Ze Guo, Linjing Li, Weimeng Han, Zixuan Guo:
SF6 High-Voltage Circuit Breaker Contact Status Detection at Different Currents. Sensors 22(21): 8490 (2022)
[j12]
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Jie Pang, Hua Zhang, Hao Zhao, Linjing Li:
DcsNet: a real-time deep network for crack segmentation. Signal Image Video Process. 16(4): 911-919 (2022)
2021
[j11]
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Peng Yan, Linjing Li, Miaotianzi Jin, Daniel Zeng:
Quantum probability-inspired graph neural network for document representation and classification. Neurocomputing 445: 276-286 (2021)
[j10]
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Zikang Wang, Linjing Li, Daniel Zeng:
SRGCN: Graph-based multi-hop reasoning on knowledge graphs. Neurocomputing 454: 280-290 (2021)
[j9]
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Zikang Wang, Linjing Li, Daniel Zeng, Xiaofei Wu:
Incorporating prior knowledge from counterfactuals into knowledge graph reasoning. Knowl. Based Syst. 223: 107035 (2021)
[j8]
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Peng Yan, Linjing Li, Daniel Zeng:
Quantum Probability-inspired Graph Attention Network for Modeling Complex Text Interaction. Knowl. Based Syst. 234: 107557 (2021)
[c25]
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Zikang Wang, Linjing Li, Daniel Dajun Zeng:
Time-Aware Representation Learning of Knowledge Graphs. IJCNN 2021: 1-8
2020
[c24]
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Zikang Wang, Linjing Li, Daniel Zeng:
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs. COLING 2020: 6498-6508
[c23]
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Zikang Wang, Linjing Li, Daniel Dajun Zeng:
A Re-Ranking Framework for Knowledge Graph Completion. IJCNN 2020: 1-8

2010 – 2019

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2019
[j7]
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Jie Bai, Linjing Li, Daniel Zeng:
HiWalk: Learning node embeddings from heterogeneous networks. Inf. Syst. 81: 82-91 (2019)
[c22]
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Chiyu Cai, Linjing Li, Daniel Zeng, Hongyuan Ma:
Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling. IJCNN 2019: 1-8
[c21]
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Zikang Wang, Linjing Li, Qiudan Li, Daniel Zeng:
Multimodal Data Enhanced Representation Learning for Knowledge Graphs. IJCNN 2019: 1-8
[c20]
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Peng Yan, Linjing Li, Daniel Zeng:
A Shortcut-Stacked Document Encoder for Extractive Text Summarization. IJCNN 2019: 1-8
[c19]
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Jiaqi Liang, Linjing Li, Weiyun Chen, Daniel Zeng:
Towards an Understanding of Cryptocurrency: A Comparative Analysis of Cryptocurrency, Foreign Exchange, and Stock. ISI 2019: 137-139
[c18]
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Jie Bai, Qingchao Kong, Linjing Li, Lei Wang, Daniel Zeng:
Exploring Cognitive Dissonance on Social Media. ISI 2019: 143-145
[c17]
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Chiyu Cai, Linjing Li, Weiyun Chen, Daniel Zeng:
Capturing Deep Dynamic Information for Mapping Users across Social Networks. ISI 2019: 146-148
[c16]
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Jiaqi Liang, Linjing Li, Weiyun Chen, Daniel Zeng:
Targeted Addresses Identification for Bitcoin with Network Representation Learning. ISI 2019: 158-160
[c15]
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Jiaqi Lang, Linjing Li, Weiyun Chen, Daniel Zeng:
Privacy Protection in Transformer-based Neural Network. ISI 2019: 182-184
[c14]
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Peng Yan, Linjing Li, Weiyun Chen, Daniel Zeng:
Quantum-Inspired Density Matrix Encoder for Sexual Harassment Personal Stories Classification. ISI 2019: 218-220
[c13]
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Jiaqi Liang, Linjing Li, Daniel Zeng, Shu Luan, Lu Gan:
Bitcoin Exchange Addresses Identification and Its Application in Online Drug Trading Regulation. PACIS 2019: 49
[c12]
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Linjing Li, Hua Zhang, Jie Pang, Jishuang Huang:
Dam surface crack detection based on deep learning. RICAI 2019: 738-743
[i2]
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  - journals/corr/abs-1909-13581
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Jie Bai, Linjing Li, Daniel Zeng:
Spread-gram: A spreading-activation schema of network structural learning. CoRR abs/1909.13581 (2019)
2018
[c11]
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Jiaqi Liang, Linjing Li, Daniel Zeng, Yunwei Zhao:
Correlation-based Dynamics and Systemic Risk Measures in the Cryptocurrency Market. ISI 2018: 43-48
[c10]
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Zikang Wang, Linjing Li, Daniel Dajun Zeng, Yue Chen:
Attention-based Multi-hop Reasoning for Knowledge Graph. ISI 2018: 211-213
[i1]
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  - journals/corr/abs-1808-08585
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Jiaqi Liang, Linjing Li, Daniel Zeng:
Evolutionary dynamics of cryptocurrency transaction networks: An empirical study. CoRR abs/1808.08585 (2018)
2017
[j6]
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Jie Zhang, Linjing Li, Fei-Yue Wang:
A Probabilistic Mechanism Design for Online Auctions. IEEE Access 5: 10782-10794 (2017)
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Jie Bai, Linjing Li, Daniel Zeng, Qiudan Li:
Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective. IEEE Trans. Knowl. Data Eng. 29(12): 2655-2668 (2017)
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Chiyu Cai, Linjing Li, Daniel Zeng:
Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information. CIKM 2017: 1995-1998
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Chiyu Cai, Linjing Li, Daniel Zeng:
Web-derived Emotional Word Detection in social media using Latent Semantic information. ISI 2017: 95-100
[c7]
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Chiyu Cai, Linjing Li, Daniel Zeng:
Behavior enhanced deep bot detection in social media. ISI 2017: 128-130
[c6]
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Jie Bai, Linjing Li, Lan Lu, Yanwu Yang, Daniel Zeng:
Real-time prediction of meme burst. ISI 2017: 167-169
2016
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Jie Bai, Linjing Li, Daniel Zeng:
Activating topic models from a cognitive perspective. ISI 2016: 55-60
[c4]
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Chiyu Cai, Linjing Li, Daniel Zeng:
New words enlightened sentiment analysis in social media. ISI 2016: 202-204
[c3]
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Jie Bai, Linjing Li, Daniel Zeng, Junjie Lin:
Social role clustering with topic model. ISI 2016: 211-213
[c2]
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Jie Zhang, Linjing Li, Fei-Yue Wang:
A probabilistic price mechanism design for online auctions. SMC 2016: 4860-4865
2015
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Yong Yuan, Daniel Dajun Zeng, Huimin Zhao, Linjing Li:
Analyzing Positioning Strategies in Sponsored Search Auctions Under CTR-Based Quality Scoring. IEEE Trans. Syst. Man Cybern. Syst. 45(4): 688-701 (2015)
2012
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Linjing Li, Daniel Zeng, Huimin Zhao:
Pure-Strategy Nash Equilibria of GSP Keyword Auction. J. Assoc. Inf. Syst. 13(2): 2 (2012)
2010
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Linjing Li, Xin Li, Zhenjiang Li, Daniel Dajun Zeng, William T. Scherer:
A Bibliographic Analysis of the IEEE Transactions on Intelligent Transportation Systems Literature. IEEE Trans. Intell. Transp. Syst. 11(2): 251-255 (2010)
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Linjing Li, Xin Li, Changjian Cheng, Cheng Chen, Guanyan Ke, Daniel Dajun Zeng, William T. Scherer:
Research Collaboration and ITS Topic Evolution: 10 Years at T-ITS. IEEE Trans. Intell. Transp. Syst. 11(3): 517-523 (2010)
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Linjing Li, Daniel Zeng:
Refinement of symmetrical Nash equilibrium for generalized second-price mechanism in sponsored search advertising. SOLI 2010: 457-462

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