Kounianhua Du

According to our database, Kounianhua Du authored at least 24 papers between 2020 and 2025.

Collaborative distances:

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

2025

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases.

Ning Li, Kounianhua Du, Han Zhang, Quan Gan, Minjie Wang, David Wipf, Weinan Zhang

CoRR, August, 2025

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation.

Ning Li, Xiangmou Qu, Jiamu Zhou, Jun Wang, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Jun Wang, Weinan Zhang

CoRR, July, 2025

NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging.

Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weinan Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu

CoRR, May, 2025

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.

Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu

CoRR, May, 2025

Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation.

Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation.

Jizheng Chen, Kounianhua Du, Xinyi Dai, Weiming Zhang, Xihuai Wang, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning.

Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Agentic Information Retrieval.

Weinan Zhang, Junwei Liao, Ning Li, Kounianhua Du

CoRR, 2024

RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.

Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang

CoRR, 2024

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.

Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang

CoRR, 2024

Extracting Essential and Disentangled Knowledge for Recommendation Enhancement.

Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang

CoRR, 2024

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation.

Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu

CoRR, 2024

CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation.

Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.

Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.

Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.

Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.

Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models.

Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu

CoRR, 2023

2022

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.

Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola

ACM Trans. Inf. Syst., 2022

Learning Enhanced Representations for Tabular Data via Neighborhood Propagation.

Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf

CoRR, 2022

Learning Enhanced Representation for Tabular Data via Neighborhood Propagation.

Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inductive Relation Prediction Using Analogy Subgraph Embeddings.

Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.

Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola

CoRR, 2020

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.

Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020