Refinement of symmetrical Nash equilibrium for generalized second-price mechanism in sponsored search advertising. - Linjing Li; Daniel Zeng 001 (SOLI, 2010)

Research Collaboration and ITS Topic Evolution: 10 Years at T-ITS. - Linjing Li; Xin Li 004; Changjian Cheng; Cheng Chen; Guanyan Ke; Daniel Dajun Zeng; William T. Scherer (IEEE Trans. Intell. Transp. Syst., 2010)

A Bibliographic Analysis of the IEEE Transactions on Intelligent Transportation Systems Literature. - Linjing Li; Xin Li 004; Zhenjiang Li; Daniel Dajun Zeng; William T. Scherer (IEEE Trans. Intell. Transp. Syst., 2010)

Pure-Strategy Nash Equilibria of GSP Keyword Auction. - Linjing Li; Daniel Zeng 001; Huimin Zhao 003 (J. Assoc. Inf. Syst., 2012)

Analyzing Positioning Strategies in Sponsored Search Auctions Under CTR-Based Quality Scoring. - Yong Yuan; Daniel Dajun Zeng; Huimin Zhao 003; Linjing Li (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Activating topic models from a cognitive perspective. - Jie Bai; Linjing Li; Daniel Zeng 001 (ISI, 2016)

Social role clustering with topic model. - Jie Bai; Linjing Li; Daniel Zeng 001; Junjie Lin (ISI, 2016)

New words enlightened sentiment analysis in social media. - Chiyu Cai; Linjing Li; Daniel Zeng 001 (ISI, 2016)

A probabilistic price mechanism design for online auctions. - Jie Zhang 116; Linjing Li; Fei-Yue Wang 001 (SMC, 2016)

Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information. - Chiyu Cai; Linjing Li; Daniel Zeng 001 (CIKM, 2017)

Real-time prediction of meme burst. - Jie Bai; Linjing Li; Lan Lu; Yanwu Yang; Daniel Zeng 001 (ISI, 2017)

Web-derived Emotional Word Detection in social media using Latent Semantic information. - Chiyu Cai; Linjing Li; Daniel Zeng 001 (ISI, 2017)

Behavior enhanced deep bot detection in social media. - Chiyu Cai; Linjing Li; Daniel Zeng 001 (ISI, 2017)

A Probabilistic Mechanism Design for Online Auctions. - Jie Zhang 116; Linjing Li; Fei-Yue Wang 001 (IEEE Access, 2017)

Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective. - Jie Bai; Linjing Li; Daniel Zeng 001; Qiudan Li (IEEE Trans. Knowl. Data Eng., 2017)

Correlation-based Dynamics and Systemic Risk Measures in the Cryptocurrency Market. - Jiaqi Liang 002; Linjing Li; Daniel Zeng 001; Yunwei Zhao (ISI, 2018)

Attention-based Multi-hop Reasoning for Knowledge Graph. - Zikang Wang; Linjing Li; Daniel Dajun Zeng; Yue Chen (ISI, 2018)

Evolutionary dynamics of cryptocurrency transaction networks: An empirical study. - Jiaqi Liang 002; Linjing Li; Daniel Zeng 001 (CoRR, 2018)

Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling. - Chiyu Cai; Linjing Li; Daniel Zeng 001; Hongyuan Ma (IJCNN, 2019)

Multimodal Data Enhanced Representation Learning for Knowledge Graphs. - Zikang Wang; Linjing Li; Qiudan Li; Daniel Zeng 001 (IJCNN, 2019)

A Shortcut-Stacked Document Encoder for Extractive Text Summarization. - Peng Yan; Linjing Li; Daniel Zeng 001 (IJCNN, 2019)

Exploring Cognitive Dissonance on Social Media. - Jie Bai; Qingchao Kong; Linjing Li; Lei Wang 062; Daniel Zeng 001 (ISI, 2019)

Capturing Deep Dynamic Information for Mapping Users across Social Networks. - Chiyu Cai; Linjing Li; Weiyun Chen; Daniel Zeng 001 (ISI, 2019)

Privacy Protection in Transformer-based Neural Network. - Jiaqi Lang; Linjing Li; Weiyun Chen; Daniel Zeng 001 (ISI, 2019)

Towards an Understanding of Cryptocurrency: A Comparative Analysis of Cryptocurrency, Foreign Exchange, and Stock. - Jiaqi Liang 002; Linjing Li; Weiyun Chen; Daniel Zeng 001 (ISI, 2019)

Targeted Addresses Identification for Bitcoin with Network Representation Learning. - Jiaqi Liang 002; Linjing Li; Weiyun Chen; Daniel Zeng 001 (ISI, 2019)

Quantum-Inspired Density Matrix Encoder for Sexual Harassment Personal Stories Classification. - Peng Yan; Linjing Li; Weiyun Chen; Daniel Zeng 001 (ISI, 2019)

Bitcoin Exchange Addresses Identification and Its Application in Online Drug Trading Regulation. - Jiaqi Liang 002; Linjing Li; Daniel Zeng 001; Shu Luan; Lu Gan (PACIS, 2019)

Dam surface crack detection based on deep learning. - Linjing Li; Hua Zhang; Jie Pang; Jishuang Huang (RICAI, 2019)

Spread-gram: A spreading-activation schema of network structural learning. - Jie Bai; Linjing Li; Daniel Zeng 001 (CoRR, 2019)

HiWalk: Learning node embeddings from heterogeneous networks. - Jie Bai; Linjing Li; Daniel Zeng 001 (Inf. Syst., 2019)

Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs. - Zikang Wang; Linjing Li; Daniel Zeng 001 (COLING, 2020)

A Re-Ranking Framework for Knowledge Graph Completion. - Zikang Wang; Linjing Li; Daniel Dajun Zeng (IJCNN, 2020)

Time-Aware Representation Learning of Knowledge Graphs. - Zikang Wang; Linjing Li; Daniel Dajun Zeng (IJCNN, 2021)

SRGCN: Graph-based multi-hop reasoning on knowledge graphs. - Zikang Wang; Linjing Li; Daniel Zeng 001 (Neurocomputing, 2021)

Quantum probability-inspired graph neural network for document representation and classification. - Peng Yan; Linjing Li; Miaotianzi Jin; Daniel Zeng 001 (Neurocomputing, 2021)

Incorporating prior knowledge from counterfactuals into knowledge graph reasoning. - Zikang Wang; Linjing Li; Daniel Zeng 001; Xiaofei Wu (Knowl. Based Syst., 2021)

Quantum Probability-inspired Graph Attention Network for Modeling Complex Text Interaction. - Peng Yan; Linjing Li; Daniel Zeng 001 (Knowl. Based Syst., 2021)

Hierarchical Multihop Reasoning on Knowledge Graphs. - Zikang Wang; Linjing Li; Daniel Dajun Zeng (IEEE Intell. Syst., 2022)

ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks. - Jiahui Shi; Linjing Li; Daniel Zeng 001 (Neurocomputing, 2022)

SF6 High-Voltage Circuit Breaker Contact Status Detection at Different Currents. - Ze Guo; Linjing Li; Weimeng Han; Zixuan Guo (Sensors, 2022)

DcsNet: a real-time deep network for crack segmentation. - Jie Pang; Hua Zhang; Hao Zhao 003; Linjing Li (Signal Image Video Process., 2022)

LDM²: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement. - Xingjin Wang; Linjing Li; Daniel Dajun Zeng (EMNLP (Findings), 2023)

Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning. - Haorui Li; Jiaqi Liang 002; Linjing Li; Daniel Zeng 001 (ICONIP (1), 2023)

Staged Long Text Generation with Progressive Task-Oriented Prompts. - Xingjin Wang; Linjing Li; Daniel Zeng 001 (ICONIP (4), 2023)

A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing. - Jielin Zeng; Jiaqi Liang 002; Xiaoxuan Wang; Linjing Li; Daniel Zeng 001 (ICONIP (14), 2023)

A Character-level Short Text Classification Model Based On Spiking Neural Networks. - Chengzhi Jiang; Linjing Li; Daniel Dajun Zeng; Xiaoxuan Wang (IJCNN, 2023)

Towards Better Word Importance Ranking in Textual Adversarial Attacks. - Jiahui Shi; Linjing Li; Daniel Dajun Zeng (IJCNN, 2023)

PCEN: Potential Correlation-Enhanced Network for Multimodal Named Entity Recognition. - Jiakai Geng; Chenyang Zhang 003; Linjing Li; Qing Yang; Daniel Dajun Zeng (ISI, 2023)

A Continual Learning Framework for Event Prediction with Temporal Knowledge Graphs. - Fan Yang; Jie Bai; Linjing Li; Daniel Zeng 001 (ISI, 2023)

Intelligent Driver Model-Based Vehicular Ad Hoc Network Communication in Real-Time Using 5G New Radio Wireless Networks. - Rashid Ali 004; Ran Liu 007; Anand Nayyar; Idrees Waris; Linjing Li; Mohd Asif Shah (IEEE Access, 2023)

LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement. - Xingjin Wang; Linjing Li; Daniel Dajun Zeng (CoRR, 2023)

CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs. - Zikang Wang; Linjing Li; Jinlin Li; Pengfei Zhao; Daniel Zeng 001 (IEEE Intell. Syst., 2023)

ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games. - Shiqi Lei; Kanghoon Lee; Linjing Li; Jinkyoo Park; Jiachen Li 001 (AAMAS, 2024)

Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons. - Yifei Wang; Yuheng Chen; Wanting Wen; Yu Sheng; Linjing Li; Daniel Zeng 001 (EMNLP, 2024)

Integrating Language Models with Symbolic Formulas for First-Order Logic Reasoning. - Yu Sheng; Linjing Li; Yifei Wang; Daniel Zeng 001 (ICASSP, 2024)

A Novel Visual-Enhanced Dual Stream Long-Term Decision Framework for Large Language Model Agents. - Xingjin Wang; Jiahao Zhao; Jiahui Shi; Linjing Li; Daniel Dajun Zeng (ICONIP (9), 2024)

BERT-FKGC: Text-Enhanced Few-Shot Representation Learning for Knowledge Graphs. - Jinlin Li; Zikang Wang; Linjing Li; Daniel Dajun Zeng (IJCNN, 2024)

Relation Adaptive Representation Learning Based on Factual Information Interaction for One-Shot Knowledge Graph Completion. - Jinlin Li; Zikang Wang; Linjing Li; Daniel Dajun Zeng (IJCNN, 2024)

RRdE: A Decision Making Framework for Language Agents in Interactive Environments. - Xufeng Zhou; Linjing Li; Daniel Dajun Zeng (IJCNN, 2024)

Learning Strategy Representation for Imitation Learning in Multi-Agent Games. - Shiqi Lei; Kanghon Lee; Linjing Li; Jinkyoo Park (CoRR, 2024)

Supersonic combustion flow field reconstruction based on multi-view domain adaptation generative network in scramjet combustor. - Mingming Guo; Erda Chen; Ye Tian; Linjing Li; Mengqi Xu; Jialing Le; Hua Zhang (Eng. Appl. Artif. Intell., 2024)

SHAPAttack: Shapley-Guided Multigranularity Adversarial Attack Against Text Transformers. - Jiahui Shi; Linjing Li; Daniel Zeng 001 (IEEE Intell. Syst., 2024)

Towards a unified framework for imperceptible textual attacks. - Jiahui Shi; Linjing Li; Daniel Zeng 001 (Appl. Intell., 2024)

Equilibrium Strategy of the Pursuit-Evasion Game in Three-Dimensional Space. - Nuo Chen; Linjing Li; Wenji Mao (IEEE CAA J. Autom. Sinica, 2024)

Integrating Relational Knowledge With Text Sequences for Script Event Prediction. - Zikang Wang; Linjing Li; Daniel Zeng 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics. - Hao Niu; Linjing Li; Bo Yuan; Min Zhu 005; Xiuyuan Xu; Xi Lu; Fengming Luo; Zhang Yi 001 (Int. J. Comput. Intell. Syst., 2024)

Graph Representation Learning Based on Cognitive Spreading Activations. - Jie Bai; Kang Zhao 001; Linjing Li; Daniel Dajun Zeng; Qiudan Li; Fan Yang; Quannan Zu (IEEE Trans. Knowl. Data Eng., 2024)

Learning Strategy Representation for Imitation Learning in Multi-Agent Games. - Shiqi Lei; Kanghoon Lee; Linjing Li; Jinkyoo Park (AAAI, 2025)

Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models. - Yu Sheng; Linjing Li; Daniel Dajun Zeng (AAAI, 2025)

Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? - Yifei Wang; Yu Sheng; Linjing Li; Daniel Dajun Zeng (ACL (Findings), 2025)

Evaluating Generalization Capability of Language Models across Abductive, Deductive and Inductive Logical Reasoning. - Yu Sheng; Wanting Wen; Linjing Li; Daniel Zeng 001 (COLING, 2025)

Conservative Offline Meta-Reinforcement Learning with Task Similarity Measurement. - Haorui Li; Jiaqi Liang 002; Linjing Li; Daniel Zeng 001 (ICASSP, 2025)

Sociologically-Informed Graph Neural Network for Opinion Prediction. - Fan Yang; Jie Bai; Linjing Li; Daniel Dajun Zeng (ICASSP, 2025)

A Novel Decision-Making Model for Playing Board Game Combining Planning and Opponent Behaviors. - Jiajing Zhang; Jiamei Jiang; Linjing Li; Daniel Zeng 001 (ICASSP, 2025)

Offline Meta Reinforcement Learning with Weighted Policy Constraints and Proximal Context Collection. - Haorui Li; Jiaqi Liang 002; Linjing Li; Daniel Zeng 001 (AAMAS, 2025)

CPE: A New Paradigm for Policy Extraction in Offline Reinforcement Learning. - Zhaohui Yang; Xiaoxuan Wang; Linjing Li (AAMAS, 2025)

A closed-loop architecture with knowledge-of-results feedback for neural-symbolic planning. - Jiajing Zhang; Jiamei Jiang; Linjing Li; Chenyang Zhang 003; Jiahui Shi; Daniel Dajun Zeng (Knowl. Based Syst., 2025)

Enhancing LLM Reasoning with Iterative DPO: A Comprehensive Empirical Investigation. - Songjun Tu; Jiahao Lin; Xiangyu Tian; Qichao Zhang; Linjing Li; Yuqian Fu; Nan Xu; Wei He; Xiangyuan Lan; Dongmei Jiang; Dongbin Zhao (CoRR, 2025)

Symbolic Knowledge Reasoning on Hyper-Relational Knowledge Graphs. - Zikang Wang; Linjing Li; Daniel Dajun Zeng (IEEE Trans. Big Data, 2025)

Learning Dynamics in Continual Pre-Training for Large Language Models. - Xingjin Wang; Howe Tissue; Lu Wang; Linjing Li; Daniel Dajun Zeng (CoRR, 2025)

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL. - Songjun Tu; Jiahao Lin; Qichao Zhang; Xiangyu Tian; Linjing Li; Xiangyuan Lan; Dongbin Zhao (CoRR, 2025)

Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning. - Zhaohui Yang; Chenghua He; Xiaowen Shi; Linjing Li; Qiyue Yin; Shihong Deng; Daxin Jiang (CoRR, 2025)

Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning. - Zhaohui Yang; Shilei Jiang; Chen Hu; Linjing Li; Shihong Deng; Daxin Jiang (CoRR, 2025)

CiC-NET: a real-time semantic segmentation network for dam surface crack detection. - Linjing Li; Hao Zhao; Ran Liu 007; Anand Nayyar; Rashid Ali 004; Yonglong Li; Hua Zhang (Multim. Tools Appl., 2025)

Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation. - Yifei Wang; Feng Xiong; Yong Wang; Linjing Li; Xiangxiang Chu; Daniel Dajun Zeng (CoRR, 2025)