| 2025 | ICCCN | The Irrational LLM: Implementing Cognitive Agents with Weighted Retrieval-Augmented Generation. | Dachun Sun, You Lyu, Jinning Li, Xinyi Liu, Denizhan Kara, Christian Lebiere, Tarek F. Abdelzaher |
| 2025 | ICCCN | Perturbation-Based Graph Active Learning for Semi-Supervised Belief Representation Learning. | Dachun Sun, Jinning Li, Xinyi Liu, You Lyu, Hongjue Zhao, Denizhan Kara, Tarek F. Abdelzaher |
| 2025 | KDD | Learning to Slice: Self-Supervised Interpretable Hierarchical Representation Learning with Graph Auto-Encoder Tree. | Jinning Li, Ruipeng Han, Jingying Zeng, Dachun Sun, Chenkai Sun, Hanghang Tong, ChengXiang Zhai, Boleslaw K. Szymanski, Tarek F. Abdelzaher |
| 2025 | SmartComp | SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments. | Dachun Sun, You Lyu, Jinning Li, Yizhuo Chen, Tianshi Wang, Tomoyoshi Kimura, Tarek F. Abdelzaher |
| 2024 | ICCCN | Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. | Jinning Li, Ruipeng Han, Chenkai Sun, Dachun Sun, Ruijie Wang, Jingying Zeng, Yuchen Yan, Hanghang Tong, Tarek F. Abdelzaher |
| 2024 | ICRA | Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. | Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan |
| 2023 | ACL | Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. | Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher |
| 2023 | ACL | Measuring the Effect of Influential Messages on Varying Personas. | Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji |
| 2023 | EMNLP | Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. | Chenkai Sun, Jinning Li, Yi Ren Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji |
| 2022 | CIKM | Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. | Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong |
| 2022 | COLING | NTULM: Enriching Social Media Text Representations with Non-Textual Units. | Jinning Li, Shubhanshu Mishra, Ahmed El-Kishky, Sneha Mehta, Vivek Kulkarni |
| 2022 | SIGIR | Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. | Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher |
| 2021 | CoRL | Dealing with the Unknown: Pessimistic Offline Reinforcement Learning. | Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan |
| 2021 | ICRA | A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning. | Jinning Li, Liting Sun, Jianyu Chen, Masayoshi Tomizuka, Wei Zhan |
| 2019 | ICDM | SENTI2POP: Sentiment-Aware Topic Popularity Prediction on Social Media. | Jinning Li, Yirui Gao, Xiaofeng Gao, Yan Shi, Guihai Chen |
| 2019 | IJCAI | Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks. | Jinning Li, Yexiang Xue |
| 2018 | DEXA | DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity. | Tianxiang Gao, Weiming Bao, Jinning Li, Xiaofeng Gao, Boyuan Kong, Yan Tang, Guihai Chen, Xuan Li |