Zekun Li

According to our database, Zekun Li authored at least 51 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GenVideoLens: Where LVLMs Fall Short in AI-Generated Video Detection?

Yueying Zou, Pei-Pei Li, Zekun Li, Xinyu Guo, Xing Cui, Huaibo Huang, Ran He

CoRR, March, 2026

DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle.

Yuheng Tang, Kaijie Zhu, Bonan Ruan, Chuqi Zhang, Michael Yang, Hongwei Li, Suyue Guo, Tianneng Shi, Zekun Li, Christopher Kruegel, Giovanni Vigna, Dawn Song, William Yang Wang, Lun Wang, Yangruibo Ding, Zhenkai Liang, Wenbo Guo

CoRR, January, 2026

AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents.

Xuannan Liu, Xiao Yang, Zekun Li, Pei-Pei Li, Ran He

CoRR, January, 2026

WildSci: Advancing Scientific Reasoning from In-the-Wild Literature.

Tengxiao Liu, Deepak Nathani, Zekun Li, Kevin Yang, William Yang Wang

CoRR, January, 2026

T2Agent: A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search.

Xing Cui, Yueying Zou, Zekun Li, Peipei Li, Xinyuan Xu, Xuannan Liu, Huaibo Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Can Editing LLMs Inject Harm?

Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Correction to: GraphFM: Graph Factorization Machines for Feature Interaction Modelling.

Shu Wu, Zekun Li, Yunyue Su, Zeyu Cui, Xiaoyu Zhang, Liang Wang

Mach. Intell. Res., December, 2025

MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents.

Dongsen Zhang, Zekun Li, Xu Luo, Xuannan Liu, Peipei Li, Wenjun Xu

CoRR, October, 2025

T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search.

Xing Cui, Yueying Zou, Zekun Li, Pei-Pei Li, Xinyuan Xu, Xuannan Liu, Huaibo Huang, Ran He

CoRR, May, 2025

Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory.

Yexiang Liu, Zekun Li, Zhi Fang, Nan Xu, Ran He, Tieniu Tan

CoRR, May, 2025

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG.

Woosang Lim, Zekun Li, Gyuwan Kim, Sungyoung Ji, HyeonJung Kim, Kyuri Choi, Jin Hyuk Lim, Kyungpyo Park, William Yang Wang

CoRR, May, 2025

AgentOrca: A Dual-System Framework to Evaluate Language Agents on Operational Routine and Constraint Adherence.

Zekun Li, Shinda Huang, Jiangtian Wang, Nathan Zhang, Antonis Antoniades, Wenyue Hua, Kaijie Zhu, Sirui Zeng, William Yang Wang, Xifeng Yan

CoRR, March, 2025

ID-Cloak: Crafting Identity-Specific Cloaks Against Personalized Text-to-Image Generation.

Qianrui Teng, Xing Cui, Xuannan Liu, Peipei Li, Zekun Li, Huaibo Huang, Ran He

CoRR, February, 2025

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM.

Yueying Zou, Peipei Li, Zekun Li, Huaibo Huang, Xing Cui, Xuannan Liu, Chenghanyu Zhang, Ran He

CoRR, February, 2025

GraphFM: Graph Factorization Machines for Feature Interaction Modelling.

Shu Wu, Zekun Li, Yunyue Su, Zeyu Cui, Xiaoyu Zhang, Liang Wang

Int. J. Autom. Comput., 2025

Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs.

Xuannan Liu, Zekun Li, Zheqi He, Peipei Li, Shuhan Xia, Xing Cui, Huaibo Huang, Xi Yang, Ran He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SpineBench: Benchmarking Multimodal LLMs for Spinal Pathology Analysis.

Chenghanyu Zhang, Zekun Li, Peipei Li, Xing Cui, Shuhan Xia, Weixiang Yan, Yiqiao Zhang, Qianyu Zhuang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs.

Xuannan Liu, Zekun Li, Pei-Pei Li, Huaibo Huang, Shuhan Xia, Xing Cui, Linzhi Huang, Weihong Deng, Zhaofeng He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate.

Yexiang Liu, Jie Cao, Zekun Li, Ran He, Tieniu Tan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Eye Movements as Images: A Multimodal Framework for Eye Movements Representation.

Dongsen Zhang, Peipei Li, Zekun Li, Yiwei Ru, Huijia Wu, Zhaofeng He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network.

Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey.

Xuannan Liu, Xing Cui, Peipei Li, Zekun Li, Huaibo Huang, Shuhan Xia, Miaoxuan Zhang, Yueying Zou, Ran He

CoRR, 2024

MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension.

Zekun Li, Xianjun Yang, Kyuri Choi, Wanrong Zhu, Ryan Hsieh, HyeonJung Kim, Jin Hyuk Lim, Sungyoung Ji, Byungju Lee, Xifeng Yan, Linda Ruth Petzold, Stephen D. Wilson, Woosang Lim, William Yang Wang

CoRR, 2024

FakeNewsGPT4: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs.

Xuannan Liu, Peipei Li, Huaibo Huang, Zekun Li, Xing Cui, Jiahao Liang, Lixiong Qin, Weihong Deng, Zhaofeng He

CoRR, 2024

Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner.

Xing Cui, Peipei Li, Zekun Li, Xuannan Liu, Yueying Zou, Zhaofeng He

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs.

Xuannan Liu, Peipei Li, Huaibo Huang, Zekun Li, Xing Cui, Jiahao Liang, Lixiong Qin, Weihong Deng, Zhaofeng He

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection.

Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

INSTASTYLE: Inversion Noise of a Stylized Image is Secretly a Style Adviser.

Xing Cui, Zekun Li, Peipei Li, Huaibo Huang, Xuannan Liu, Zhaofeng He

Proceedings of the Computer Vision - ECCV 2024, 2024

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling.

Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser.

Xing Cui, Zekun Li, Pei-Pei Li, Huaibo Huang, Zhaofeng He

CoRR, 2023

AlpaCare: Instruction-tuned Large Language Models for Medical Application.

Xinlu Zhang, Chenxin Tian, Xianjun Yang, Lichang Chen, Zekun Li, Linda Ruth Petzold

CoRR, 2023

Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.

Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, Anh Tuan Luu, Bryan Hooi

CoRR, 2023

Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models.

Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan

CoRR, 2023

I2Edit: Towards Multi-turn Interactive Image Editing via Dialogue.

Xing Cui, Zekun Li, Peipei Li, Yibo Hu, Hailin Shi, Zhaofeng He

CoRR, 2023

Guiding Large Language Models via Directional Stimulus Prompting.

Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Time Series as Images: Vision Transformer for Irregularly Sampled Time Series.

Zekun Li, Shiyang Li, Xifeng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ChatEdit: Towards Multi-turn Interactive Facial Image Editing via Dialogue.

Xing Cui, Zekun Li, Pei Li, Yibo Hu, Hailin Shi, Chunshui Cao, Zhaofeng He

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Limitations of Language Models in Arithmetic and Symbolic Induction.

Jing Qian, Hong Wang, Zekun Li, Shiyang Li, Xifeng Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Explanations from Large Language Models Make Small Reasoners Better.

Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan

CoRR, 2022

Controllable Dialogue Simulation with In-context Learning.

Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Weakly-supervised action localization via embedding-modeling iterative optimization.

Xiaoyu Zhang, Haichao Shi, Changsheng Li, Peng Li, Zekun Li, Peng Ren

Pattern Recognit., 2021

GraphFM: Graph Factorization Machines for Feature Interaction Modeling.

Zekun Li, Shu Wu, Zeyu Cui, Xiaoyu Zhang

CoRR, 2021

DyGCN: Dynamic Graph Embedding with Graph Convolutional Network.

Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai

CoRR, 2021

Cold-start Sequential Recommendation via Meta Learner.

Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Heterogeneous Graph Collaborative Filtering.

Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang

CoRR, 2020

DGTN: Dual-channel Graph Transition Network for Session-based Recommendation.

Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks.

Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang

Proceedings of the World Wide Web Conference, 2019

Semi-Supervised Compatibility Learning Across Categories for Clothing Matching.

Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction.

Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

NeuroStylist: Neural Compatibility Modeling for Clothing Matching.

Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Clothing Matching Based on Multi-modal Data.

Zekun Li, Xuemeng Song, Tian Gan, Zhumin Chen, Xiaoyu Zhu

Proceedings of the Internet Multimedia Computing and Service, 2017