Jiapu Wang

According to our database, Jiapu Wang authored at least 38 papers between 2023 and 2026.

Collaborative distances:

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

2026

AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models.

Tingzheng Jia, Kan Guo, Lanping Qian, Yongli Hu, Daxin Tian, Guixian Qu, Chunmian Lin, Baocai Yin, Jiapu Wang

CoRR, April, 2026

U-CAN: Utility-Aware Contrastive Attenuation for Efficient Unlearning in Generative Recommendation.

Zezheng Wu, Rui Wang, Xinghe Cheng, Yang Shao, Qing Yang, Jiapu Wang, Jingwei Zhang

CoRR, February, 2026

BamaER: A Behavior-Aware Memory-Augmented Model for Exercise Recommendation.

Qing Yang, Yuhao Jiang, Rui Wang, Jipeng Guo, Yejiang Wang, Xinghe Cheng, Zezheng Wu, Jiapu Wang, Jingwei Zhang

CoRR, February, 2026

LogicScore: Fine-grained Logic Evaluation of Conciseness, Completeness, and Determinateness in Attributed Question Answering.

Zhichao Yan, Yunxiao Zhao, Jiapu Wang, Jiaoyan Chen, Shaoru Guo, Xiaoli Li, Ru Li, Jeff Z. Pan

CoRR, January, 2026

Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction.

Xiaonan Jing, Gongqing Wu, Xingrui Zhuo, Lang Sun, Jiapu Wang

CoRR, January, 2026

Cumulative Path-Level Semantic Reasoning for Inductive Knowledge Graph Completion.

Jiapu Wang, Xinghe Cheng, Zezheng Wu, Ruiqi Ma, Rui Wang, Zhichao Yan, Haoran Luo, Yuhao Jiang, Kai Sun

CoRR, January, 2026

Multi-faceted contrastive learning with inter-frame difference for traffic video question answering.

Kan Guo, Qi Zuo, Yongli Hu, Lanping Qian, Daxin Tian, Jiapu Wang, Guixian Qu, Tingzheng Jia, Junbin Gao, Baocai Yin, Jian Wu

Knowl. Based Syst., 2026

Graph-to-Tree: Topological Decomposition for Self-Supervised Learning.

Yejiang Wang, Yuhai Zhao, Fangting Li, Jiapu Wang, Meixia Wang, Ling Li, Miaomiao Huang, Zhengkui Wang, Shirui Pan

Proceedings of the ACM Web Conference 2026, 2026

GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation.

Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He, Quanlong Guan, Shirui Pan, Weiqi Luo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Atomic Fact Decomposition Helps Attributed Question Answering.

Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Xiaoli Li, Jiye Liang, Ru Li, Jeff Z. Pan

IEEE Trans. Knowl. Data Eng., December, 2025

LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence.

Wenjin Liu, Haoran Luo, Xin Feng, Xiang Ji, Lijuan Zhou, Rui Mao, Jiapu Wang, Shirui Pan, Erik Cambria

CoRR, December, 2025

Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning.

Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria

CoRR, November, 2025

Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning.

Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Zhongyuan Wang, Jichen Zhang, Shirui Pan, Xindong Wu

CoRR, October, 2025

CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs.

Chengwei Wu, Jiapu Wang, Mingyang Gao, Xingrui Zhuo, Jipeng Guo, Runlin Lei, Haoran Luo, Tianyu Chen, Haoyi Zhou, Shirui Pan, Zechao Li

CoRR, October, 2025

Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering.

Tianxiang Zhao, Youqing Wang, Jinlu Wang, Jiapu Wang, Mingliang Cui, Junbin Gao, Jipeng Guo

CoRR, October, 2025

Accelerate Scaling of LLM Alignment via Quantifying the Coverage and Depth of Instruction Set.

Chengwei Wu, Li Du, Hanyu Zhao, Yiming Ju, Jiapu Wang, Tengfei Pan

CoRR, September, 2025

Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities.

Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Yanyan Wang, Hongye Tan, Jiye Liang, Xiaoli Li, Ru Li, Jeff Z. Pan

CoRR, August, 2025

Education-Oriented Graph Retrieval-Augmented Generation for Learning Path Recommendation.

Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He, Quanlong Guan, Shirui Pan, Weiqi Luo

CoRR, June, 2025

Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global.

Jinlu Wang, Yanfeng Sun, Jiapu Wang, Junbin Gao, Shaofan Wang, Jipeng Guo

CoRR, January, 2025

Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs.

Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Shirui Pan, Xindong Wu

Proceedings of the ACM on Web Conference 2025, 2025

Large-Small Model Synergy with Multimodal Fine-Grained Heuristics for Knowledge-Based Visual Question Answering.

Zhongfan Sun, Kan Guo, Yongli Hu, Daxin Tian, Qingqing Gao, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin

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

Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs.

Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang, Rui Li, Zizhong Wei, Xindong Wu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Equivalence is All: A Unified View for Self-supervised Graph Learning.

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang, Fangting Li, Miaomiao Huang, Shirui Pan, Xingwei Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Decomposing and Revising What Language Models Generate.

Zhichao Yan, Jiaoyan Chen, Jiapu Wang, Xiaoli Li, Ru Li, Jeff Z. Pan

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation.

Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin

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

MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Shirui Pan, Tengfei Liu, Baocai Yin, Wen Gao

IEEE Trans. Cybern., October, 2024

Unifying Large Language Models and Knowledge Graphs: A Roadmap.

Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu

IEEE Trans. Knowl. Data Eng., July, 2024

Multi-Level Interaction Based Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Simin Hu, Yongli Hu, Baocai Yin

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer.

Tengfei Liu, Yongli Hu, Junbin Gao, Jiapu Wang, Yanfeng Sun, Baocai Yin

Neural Networks, 2024

Atomic Fact Decomposition Helps Attributed Question Answering.

Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Xiaoli Li, Ru Li, Jeff Z. Pan

CoRR, 2024

Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion.

Kai Sun, Jiapu Wang, Huajie Jiang, Yongli Hu, Baocai Yin

CoRR, 2024

IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion.

Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao

Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning.

Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval.

Zheng Cui, Yongli Hu, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

TDN: Triplet Distributor Network for Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin

IEEE Trans. Knowl. Data Eng., December, 2023

Multi-Concept Representation Learning for Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin

ACM Trans. Knowl. Discov. Data, January, 2023

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.

Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao

CoRR, 2023