Tianzhe Zhao - RankMe

26 papers A* 6Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring knowledge poisoning attacks to retrieval-augmented generation. Inf. Fusion Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Haiping Zhu, Nan Hu, Jun Liu, Qika Lin
2025	J	`jnl`	A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning. CoRR Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng
2025	J	`jnl`	Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. IEEE Trans. Knowl. Data Eng. Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria
2025	A*	`conf`	Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision. WWW Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Jun Liu, Xuequn Shang
2025	J	`jnl`	RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation. CoRR Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Haiping Zhu, Nan Hu, Jun Liu, Qika Lin
2025	A*	`conf`	Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis. SIGIR Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu
2025	—	`conf`	SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding. KDD (2) Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu
2025	J	`jnl`	SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding. CoRR Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu
2025	—	`conf`	Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. ACL (1) Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025	J	`jnl`	Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. CoRR Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2024	A*	`conf`	A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. WWW Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong
2024	J	`jnl`	Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations. IEEE Trans. Knowl. Data Eng. Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Qianying Wang
2024	J	`jnl`	Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text. IEEE Trans. Neural Networks Learn. Syst. Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang
2024	—	`conf`	PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. ACL (1) Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
2024	J	`jnl`	PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. CoRR Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu
2024	A*	`conf`	Untargeted Adversarial Attack on Knowledge Graph Embeddings. SIGIR Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu
2024	J	`jnl`	Untargeted Adversarial Attack on Knowledge Graph Embeddings. CoRR Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu
2023	J	`jnl`	Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views. CoRR Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria
2023	J	`jnl`	Improved prototypical network for active few-shot learning. Pattern Recognit. Lett. Yaqiang Wu, Yifei Li, Tianzhe Zhao, Lingling Zhang, Bifan Wei, Jun Liu, Qinghua Zheng
2023	J	`jnl`	Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text. CoRR Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang
2023	J	`jnl`	MoCA: Incorporating domain pretraining and cross attention for textbook question answering. Pattern Recognit. Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang
2022	A*	`conf`	Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. SIGIR Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao
2022	—	`conf`	Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion. APWeb/WAIM (2) Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu
2022	A*	`conf`	Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. EMNLP Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang
2021	J	`jnl`	Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning. CoRR Yudai Pan, Jun Liu, Lingling Zhang, Xin Hu, Tianzhe Zhao, Qika Lin
2021	J	`jnl`	MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. CoRR Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan