| 2026 | ACL | Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection. | Minghui Jia, Qichao Zhang, Ali Luo, Linjing Li, Shuo Ye, Hailing Lu, Wen Hou, Dongbin Zhao |
| 2026 | ACL | Entropy Scheduling in Reinforcement Learning for Large Language Models. | Xingjin Wang, Howe Tissue, Lu Wang, Linjing Li, Daniel Dajun Zeng |
| 2025 | AAAI | Learning Strategy Representation for Imitation Learning in Multi-Agent Games. | Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park |
| 2025 | AAAI | Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models. | Yu Sheng, Linjing Li, Daniel Dajun Zeng |
| 2025 | ACL | Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? | Yifei Wang, Yu Sheng, Linjing Li, Daniel Dajun Zeng |
| 2025 | COLING | Evaluating Generalization Capability of Language Models across Abductive, Deductive and Inductive Logical Reasoning. | Yu Sheng, Wanting Wen, Linjing Li, Daniel Zeng |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning. | Zhaohui Yang, Chenghua He, Xiaowen Shi, Shihong Deng, Linjing Li, Qiyue Yin, Daxin Jiang |
| 2025 | EMNLP | Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning. | Zhaohui Yang, Yuxiao Ye, Shilei Jiang, Shihong Deng, Chen Hu, Linjing Li, Daxin Jiang |
| 2025 | ICASSP | Conservative Offline Meta-Reinforcement Learning with Task Similarity Measurement. | Haorui Li, Jiaqi Liang, Linjing Li, Daniel Zeng |
| 2025 | ICASSP | Sociologically-Informed Graph Neural Network for Opinion Prediction. | Fan Yang, Jie Bai, Linjing Li, Daniel Dajun Zeng |
| 2025 | ICASSP | A Novel Decision-Making Model for Playing Board Game Combining Planning and Opponent Behaviors. | Jiajing Zhang, Jiamei Jiang, Linjing Li, Daniel Zeng |
| 2025 | ICML | Learning Dynamics in Continual Pre-Training for Large Language Models. | Xingjin Wang, Howe Tissue, Lu Wang, Linjing Li, Daniel Dajun Zeng |
| 2025 | IJCNN | Modeling Social Opinion Evolution with LLM Agents: Integrating Personality Traits with Embedded Opinion Dynamics. | Fan Yang, Jie Bai, Linjing Li, Daniel Dajun Zeng |
| 2024 | EMNLP | Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons. | Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Zeng |
| 2024 | ICASSP | Integrating Language Models with Symbolic Formulas for First-Order Logic Reasoning. | Yu Sheng, Linjing Li, Yifei Wang, Daniel Zeng |
| 2024 | ICONIP | 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 |
| 2024 | IJCNN | BERT-FKGC: Text-Enhanced Few-Shot Representation Learning for Knowledge Graphs. | Jinlin Li, Zikang Wang, Linjing Li, Daniel Dajun Zeng |
| 2024 | IJCNN | Relation Adaptive Representation Learning Based on Factual Information Interaction for One-Shot Knowledge Graph Completion. | Jinlin Li, Zikang Wang, Linjing Li, Daniel Dajun Zeng |
| 2024 | IJCNN | RRdE: A Decision Making Framework for Language Agents in Interactive Environments. | Xufeng Zhou, Linjing Li, Daniel Dajun Zeng |
| 2023 | EMNLP | LDM²: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement. | Xingjin Wang, Linjing Li, Daniel Dajun Zeng |
| 2023 | ICONIP | Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning. | Haorui Li, Jiaqi Liang, Linjing Li, Daniel Zeng |
| 2023 | ICONIP | Staged Long Text Generation with Progressive Task-Oriented Prompts. | Xingjin Wang, Linjing Li, Daniel Zeng |
| 2023 | ICONIP | A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing. | Jielin Zeng, Jiaqi Liang, Xiaoxuan Wang, Linjing Li, Daniel Zeng |
| 2023 | IJCNN | A Character-level Short Text Classification Model Based On Spiking Neural Networks. | Chengzhi Jiang, Linjing Li, Daniel Dajun Zeng, Xiaoxuan Wang |
| 2023 | IJCNN | Towards Better Word Importance Ranking in Textual Adversarial Attacks. | Jiahui Shi, Linjing Li, Daniel Dajun Zeng |
| 2023 | ISI | PCEN: Potential Correlation-Enhanced Network for Multimodal Named Entity Recognition. | Jiakai Geng, Chenyang Zhang, Linjing Li, Qing Yang, Daniel Dajun Zeng |
| 2023 | ISI | A Continual Learning Framework for Event Prediction with Temporal Knowledge Graphs. | Fan Yang, Jie Bai, Linjing Li, Daniel Zeng |
| 2021 | IJCNN | Time-Aware Representation Learning of Knowledge Graphs. | Zikang Wang, Linjing Li, Daniel Dajun Zeng |
| 2020 | COLING | Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs. | Zikang Wang, Linjing Li, Daniel Zeng |
| 2020 | IJCNN | A Re-Ranking Framework for Knowledge Graph Completion. | Zikang Wang, Linjing Li, Daniel Dajun Zeng |
| 2019 | IJCNN | Exploring Writing Pattern with Pop Culture Ingredients for Social User Modeling. | Chiyu Cai, Linjing Li, Daniel Zeng, Hongyuan Ma |
| 2019 | IJCNN | Multimodal Data Enhanced Representation Learning for Knowledge Graphs. | Zikang Wang, Linjing Li, Qiudan Li, Daniel Zeng |
| 2019 | IJCNN | A Shortcut-Stacked Document Encoder for Extractive Text Summarization. | Peng Yan, Linjing Li, Daniel Zeng |
| 2019 | ISI | Exploring Cognitive Dissonance on Social Media. | Jie Bai, Qingchao Kong, Linjing Li, Lei Wang, Daniel Zeng |
| 2019 | ISI | Capturing Deep Dynamic Information for Mapping Users across Social Networks. | Chiyu Cai, Linjing Li, Weiyun Chen, Daniel Zeng |
| 2019 | ISI | Privacy Protection in Transformer-based Neural Network. | Jiaqi Lang, Linjing Li, Weiyun Chen, Daniel Zeng |
| 2019 | ISI | Towards an Understanding of Cryptocurrency: A Comparative Analysis of Cryptocurrency, Foreign Exchange, and Stock. | Jiaqi Liang, Linjing Li, Weiyun Chen, Daniel Zeng |
| 2019 | ISI | Targeted Addresses Identification for Bitcoin with Network Representation Learning. | Jiaqi Liang, Linjing Li, Weiyun Chen, Daniel Zeng |
| 2019 | ISI | Quantum-Inspired Density Matrix Encoder for Sexual Harassment Personal Stories Classification. | Peng Yan, Linjing Li, Weiyun Chen, Daniel Zeng |
| 2018 | ISI | Correlation-based Dynamics and Systemic Risk Measures in the Cryptocurrency Market. | Jiaqi Liang, Linjing Li, Daniel Zeng, Yunwei Zhao |
| 2018 | ISI | Attention-based Multi-hop Reasoning for Knowledge Graph. | Zikang Wang, Linjing Li, Daniel Dajun Zeng, Yue Chen |
| 2017 | CIKM | Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information. | Chiyu Cai, Linjing Li, Daniel Zeng |
| 2017 | ISI | Real-time prediction of meme burst. | Jie Bai, Linjing Li, Lan Lu, Yanwu Yang, Daniel Zeng |
| 2017 | ISI | Web-derived Emotional Word Detection in social media using Latent Semantic information. | Chiyu Cai, Linjing Li, Daniel Zeng |
| 2017 | ISI | Behavior enhanced deep bot detection in social media. | Chiyu Cai, Linjing Li, Daniel Zeng |
| 2016 | ISI | Activating topic models from a cognitive perspective. | Jie Bai, Linjing Li, Daniel Zeng |
| 2016 | ISI | Social role clustering with topic model. | Jie Bai, Linjing Li, Daniel Zeng, Junjie Lin |
| 2016 | ISI | New words enlightened sentiment analysis in social media. | Chiyu Cai, Linjing Li, Daniel Zeng |
| 2016 | SMC | A probabilistic price mechanism design for online auctions. | Jie Zhang, Linjing Li, Fei-Yue Wang |