Li, Chaozhuo

27 publications

AAAI 2025 Auto Encoding Neural Process for Multi-Interest Recommendation Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li

AAAI 2025 Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang

AAAI 2025 Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li

IJCAI 2025 Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang

IJCAI 2025 Diffusion Guided Propagation Augmentation for Popularity Prediction Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang

IJCAI 2025 Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye

AAAI 2025 From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction Zhihao Tang, Xi Zhang, Chaozhuo Li

AAAI 2025 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang

ICML 2025 Going Deeper into Locally Differentially Private Graph Neural Networks Longzhu He, Chaozhuo Li, Peng Tang, Sen Su

AAAI 2025 MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang

NeurIPS 2025 One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs Pengbo Wang, Chaozhuo Li, Chenxu Wang, Liwen Zheng, Litian Zhang, Xi Zhang

AAAI 2025 What Is a Good Question? Assessing Question Quality via Meta-Fact Checking Bo Zhang, Jianghua Zhu, Chaozhuo Li, Hao Yu, Li Kong, Zhan Wang, Dezhuang Miao, Xiaoming Zhang, Junsheng Zhou

NeurIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang

ICLR 2024 Foundation Model-Oriented Robustness: Robust Image Model Evaluation with Pretrained Models Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang

ICML 2024 Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen

AAAI 2024 Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li

AAAI 2024 Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation Yijun Ma, Chaozhuo Li, Xiao Zhou

NeurIPS 2023 A Comprehensive Study on Text-Attributed Graphs: Benchmarking and Rethinking Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang

NeurIPS 2023 Bayesian Active Causal Discovery with Multi-Fidelity Experiments Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie

ECML-PKDD 2023 Hierarchical Graph Contrastive Learning Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang

ICLR 2023 Learning on Large-Scale Text-Attributed Graphs via Variational Inference Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang

NeurIPS 2023 Train Once and Explain Everywhere: Pre-Training Interpretable Graph Neural Networks Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang

NeurIPS 2023 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang

ICML 2022 Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He

ICML 2022 HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

NeurIPS 2021 GraphFormers: GNN-Nested Transformers for Representation Learning on Textual Graph Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie

AAAI 2019 Adversarial Learning for Weakly-Supervised Social Network Alignment Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li