Jingpei Wu - RankMe

17 papers B 1Misc 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bag of Tricks for Subverting Reasoning-based Safety Guardrails. CoRR Shuo Chen, Zhen Han, Haokun Chen, Bailan He, Shengyun Si, Jingpei Wu, Philip Torr, Volker Tresp, Jindong Gu
2025	J	`jnl`	GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning. CoRR Yao Zhang, Yu Wu, Haowei Zhang, Weiguo Li, Haokun Chen, Jingpei Wu, Guohao Li, Zhen Han, Volker Tresp
2025	J	`jnl`	KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge. CoRR Guanghao Jin, Jingpei Wu, Tianpei Guo, Yiyi Niu, Weidong Zhou, Guoyang Liu
2025	J	`jnl`	NeuroDx-LM: A Clinical Large-Scale Model for EEG-based Neurological Disorder Detection. CoRR Guanghao Jin, Yuan Liang, Yihan Ma, Jingpei Wu, Guoyang Liu
2025	J	`jnl`	ReEXplore: Improving MLLMs for Embodied Exploration with Contextualized Retrospective Experience Replay. CoRR Gengyuan Zhang, Mingcong Ding, Jingpei Wu, Ruotong Liao, Volker Tresp
2024	—	`conf`	Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. EMNLP (Findings) Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, Volker Tresp
2024	—	`conf`	zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. NAACL-HLT Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
2023	—	`conf`	A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. IntelliSys (3) Zifeng Ding, Yunpu Ma, Bailan He, Jingpei Wu, Zhen Han, Volker Tresp
2023	J	`jnl`	Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge. CoRR Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp
2023	Misc	`conf`	ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. ISWC Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp
2023	—	`conf`	Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. ECML/PKDD (3) Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
2023	J	`jnl`	Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning. CoRR Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
2023	B	`conf`	Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. IJCNN Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp
2023	J	`jnl`	Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. CoRR Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
2022	—	`conf`	Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. AKBC Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
2022	J	`jnl`	Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. CoRR Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
2022	J	`jnl`	Forecasting Question Answering over Temporal Knowledge Graphs. CoRR Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp