Kounianhua Du

37 papers A* 7A 3Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
LogitsCoder: Towards Efficient Chain-of-Thought Path Search via Logits Preference Decoding for Code Generation.
CoRR
Jizheng Chen, Weiming Zhang, Xinyi Dai, Weiwen Liu, Kounianhua Du, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025 — conf
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation.
ACL (Findings)
Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025 J jnl
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation.
CoRR
Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025 — conf
DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation.
ACL (1)
Jizheng Chen, Kounianhua Du, Xinyi Dai, Weiming Zhang, Xihuai Wang, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu
2025 J jnl
Fints: Efficient Inference-Time Personalization for LLMs with Fine-Grained Instance-Tailored Steering.
CoRR
Kounianhua Du, Jianxing Liu, Kangning Zhang, Wenxiang Jiao, Yuan Lu, Jiarui Jin, Weiwen Liu, Yong Yu, Weinan Zhang
2025 A conf
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.
CIKM
Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2025 J jnl
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.
CoRR
Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2025 J jnl
LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls.
CoRR
Kangning Zhang, Wenxiang Jiao, Kounianhua Du, Yuan Lu, Weiwen Liu, Weinan Zhang, Lei Zhang, Yong Yu
2025 J jnl
MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation.
CoRR
Ning Li, Xiangmou Qu, Jiamu Zhou, Jun Wang, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Weinan Zhang
2025 A* conf
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging.
EMNLP
Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025 J jnl
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging.
CoRR
Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weinan Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu
2025 A* conf
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.
EMNLP
Qingyao Li, Wei Xia, Xinyi Dai, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025 — conf
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning.
ACL (Findings)
Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang
2025 J jnl
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning.
CoRR
Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang
2025 J jnl
Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases.
CoRR
Ning Li, Kounianhua Du, Han Zhang, Quan Gan, Minjie Wang, David Wipf, Weinan Zhang
2025 — conf
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction.
EMNLP (Findings)
Xinmeng Hou, Lingyue Fu, Chenhao Meng, Kounianhua Du, Hai Hu
2024 J jnl
Agentic Information Retrieval.
CoRR
Weinan Zhang, Junwei Liao, Ning Li, Kounianhua Du
2024 J jnl
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation.
CoRR
Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2024 A* conf
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.
KDD
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
2024 J jnl
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.
CoRR
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
2024 A conf
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.
CIKM
Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.
CoRR
Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang
2024 J jnl
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement.
CoRR
Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
2024 J jnl
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation.
CoRR
Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
2024 A* conf
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
WWW
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
2024 J jnl
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.
CoRR
Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang
2024 A conf
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
CIKM
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
2024 J jnl
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
CoRR
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
2023 J jnl
CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models.
CoRR
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
2023 J jnl
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
CoRR
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
2022 J jnl
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
ACM Trans. Inf. Syst.
Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
2022 A* conf
Inductive Relation Prediction Using Analogy Subgraph Embeddings.
ICLR
Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan
2022 A* conf
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation.
NeurIPS
Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P. Wipf
2022 J jnl
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation.
CoRR
Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf
2020 A* conf
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.
KDD
Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020 J jnl
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.
CoRR
Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020 J jnl
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
CoRR
Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola