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Yukun Cao
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2020 – today
- 2026
[j10]Yijia Tang
, YaoShen Yu, Zhiqiu Huang, Bowei Xia, Yukun Cao:
P2N2S: Bridging the gap between natural and programming languages for code summarization via large language models. World Wide Web (WWW) 29(1): 7 (2026)
[i15]Zhiyang Li, Ao Ke, Yukun Cao, Xike Xie:
KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering. CoRR abs/2601.11632 (2026)- 2025
[j9]Yukun Cao, Zengyi Gao
, Zhiyang Li, Xike Xie, S. Kevin Zhou, Jianliang Xu:
LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration. Proc. VLDB Endow. 18(10): 3269-3283 (2025)
[j8]Yukun Cao
, Luobin Huang
, Yijia Tang
:
PeTracker: Poincaré-Based Dual-Strategy Emotion Tracker for Emotion Recognition in Conversation. IEEE Trans. Affect. Comput. 16(3): 2020-2032 (2025)
[c46]Yukun Cao, Lisheng Wang, Luobin Huang:
DPCL-Diff:Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning. AAAI 2025: 14806-14814
[c45]Zengyi Gao, Yukun Cao, Hairu Wang, Ao Ke, Yuan Feng, S. Kevin Zhou, Xike Xie:
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs. ACL (Findings) 2025: 6178-6192
[c44]Yukun Cao, Shuo Han, Zengyi Gao, Zezhong Ding, Xike Xie, S. Kevin Zhou:
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding. ACL (1) 2025: 12096-12134
[c43]Yukun Cao, Luobin Huang, Zhihao Guo, Lisheng Wang:
Reinforced and Integrated Prompt Optimization Strategy for Emotion Recognition in Conversation. ECAI 2025: 4008-4015
[c42]Hairu Wang, Yuan Feng, Yukun Cao, Xike Xie, S. Kevin Zhou:
SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context. EMNLP (Findings) 2025: 11324-11340
[c41]Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S. Kevin Zhou:
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams. ICML 2025
[c40]Yukun Cao, Lisheng Wang, Yunfeng Li, Zhihao Guo, Xuefeng Xu, Luobin Huang, Zirui Xu:
GCLP: Generative Contrastive Learning with Adaptive Prompt-Guided Diffusion for Temporal Reasoning over Service Knowledge Graphs. ICSOC (1) 2025: 35-50
[c39]Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng:
Prototype-based Optimal Transport for Out-of-Distribution Detection. IJCAI 2025: 3018-3026
[c38]Yukun Cao, Luobin Huang, Lisheng Wang:
DIPF: Dual-Intervention Prompt Framework for Emotion Recognition in Conversation. IJCNN 2025: 1-8
[c37]Yukun Cao, Niu Gu, Yongcheng He:
DMCM: Dual-space Mapping Contrastive Meta Learning for Cold Start Recommendation*. SMC 2025: 3374-3379
[c36]Yukun Cao, Yongcheng He, Niu Gu:
CDCO: Cross-Domain Contrastive Optimization Framework for Enhancing Multi-Task Learning in Small Pre-trained Language Models. SMC 2025: 4230-4235
[c35]Yukun Cao, Yongcheng He, Niu Gu:
DENL: Dynamic Emotion Neural Link for Efficient Emotion Recognition in Conversations *. SMC 2025: 7220-7225
[i14]Zengyi Gao, Yukun Cao, Hairu Wang, Ao Ke, Yuan Feng, Xike Xie, S. Kevin Zhou:
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs. CoRR abs/2501.09957 (2025)
[i13]Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S. Kevin Zhou:
Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective. CoRR abs/2502.03805 (2025)
[i12]Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S. Kevin Zhou:
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams. CoRR abs/2505.19561 (2025)
[i11]Hairu Wang, Yuan Feng, Yukun Cao, Xike Xie, S. Kevin Zhou:
SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context. CoRR abs/2505.23841 (2025)
[i10]Shuo Han, Yukun Cao, Zezhong Ding, Zengyi Gao, S. Kevin Zhou, Xike Xie:
See or Say Graphs: Agent-Driven Scalable Graph Understanding with Vision-Language Models. CoRR abs/2510.16769 (2025)- 2024
[j7]Yukun Cao
, Yuan Feng
, Hairu Wang
, Xike Xie
, S. Kevin Zhou
:
Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7136-7153 (2024)
[j6]Yukun Cao
, Chengkun Jin
, Yijia Tang
, Ziyue Wei
:
Word Sense Disambiguation Combining Knowledge Graph and Text Hierarchical Structure. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(12): 161:1-161:16 (2024)
[c34]Bangchao Wang, Xinyu He, Hongyan Wan, Xiaoxiao Li, Jiaxu Zhu, Yukun Cao:
FRELinker: A Novel Issue-Commit Link Recovery Model Based on Feature Refinement and Expansion with Multi-Classifier Fusion. APSEC 2024: 201-210
[c33]Zhiyuan Zou, Bangchao Wang, Hongyan Wan, Huan Jin, Xiaoxiao Li, Yukun Cao:
HANTracer: Leveraging Heterogeneous Graph Attention Network for Large-Scale Requirements-Code Traceability Link Recovery. APSEC 2024: 211-220
[c32]Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S. Kevin Zhou:
Mayfly: a Neural Data Structure for Graph Stream Summarization. ICLR 2024
[c31]Yukun Cao, Yuanmin Liu, Ming Chen, Jingjing Li, Tianhao Wang:
WSDSum: Unsupervised Extractive Summarization Based on Word Weight Fusion and Document Dynamic Comparison. ICPCSEE (3) 2024: 108-122
[c30]Yukun Cao, Kangle Xu, Yu Cheng, Jialuo Yan, Zhenyi He:
HENF: Hierarchical Entity Neighbor Multi-Relational Fusion Network for Knowledge Graph Completion. ICPCSEE (2) 2024: 255-268
[c29]Yukun Cao, Ming Chen, Jingjing Li, Yuanmin Liu, Tianhao Wang:
FRD-DST: A Fine-Grained Relation-Driven Model for Dialogue State Tracking. SMC 2024: 2543-2548
[c28]Zhiyuan Zou, Bangchao Wang, Yang Deng, Hongyan Wan, Zhiquan An, Yukun Cao:
XWCoDe: XGBoost with Weighted Code Dependency for Requirements-to-Code Traceability Link Recovery. SMC 2024: 2670-2675
[c27]Yukun Cao, Jingjing Li, Ming Chen, Luobin Huang, Yuanmin Liu, Tianhao Wang:
NAEP: Neighborhood Multihead Attention with Evidential Conditional Neural Processes for Few-Shot Knowledge Graph Completion. SMC 2024: 4651-4656
[i9]Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S. Kevin Zhou:
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference. CoRR abs/2407.11550 (2024)
[i8]Yukun Cao, Shuo Han, Zengyi Gao, Zezhong Ding, Xike Xie, S. Kevin Zhou:
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding. CoRR abs/2409.03258 (2024)
[i7]Ao Ke, Wenlong Chen, Chuanwen Feng, Yukun Cao, Xike Xie, S. Kevin Zhou, Lei Feng:
Prototype-based Optimal Transport for Out-of-Distribution Detection. CoRR abs/2410.07617 (2024)
[i6]Yukun Cao, Lisheng Wang, Luobing Huang:
DPCL-Diff: The Temporal Knowledge Graph Reasoning based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning. CoRR abs/2411.01477 (2024)
[i5]Yukun Cao, Zengyi Gao, Zhiyang Li, Xike Xie, S. Kevin Zhou:
LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration. CoRR abs/2411.05844 (2024)- 2023
[j5]Yukun Cao
, Yijia Tang
, Haizhou Du
, Feifei Xu
, Ziyue Wei
, ChengKun Jin
:
Heterogeneous Reinforcement Learning Network for Aspect-Based Sentiment Classification With External Knowledge. IEEE Trans. Affect. Comput. 14(4): 3362-3375 (2023)
[c26]Yukun Cao, Yuan Feng
, Xike Xie:
Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams. AAAI 2023: 6916-6924
[c25]Yukun Cao, Jialuo Yan, Yijia Tang, Zhenyi He, Kangle Xu, Yu Cheng:
Aware-Transformer: A Novel Pure Transformer-Based Model for Remote Sensing Image Captioning. CGI (1) 2023: 105-117
[c24]Haoyun Li
, Yukun Cao
, Xike Xie
:
VR-Explorer: A Demonstration of a Virtual Reality Interactive Data Exploration System. GROUP (Companion) 2023: 15-17
[c23]Yukun Cao, Xike Xie, Kexin Huang:
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. ICDE 2023: 1720-1733
[c22]Yukun Cao, Zhenyi He, Yijia Tang, Jialuo Yan, Yu Cheng, Kangle Xu:
Dialogue-Clues: Dual-channel Dialogue Clues Embedding Context Perception Network for Emotion Recognition in Conversations. SMC 2023: 2112-2117- 2022
[j4]Weixiang Chen, Xiaoyu Han, Jian Wang, Yukun Cao, Xi Jia, Yuting Zheng, Jie Zhou, Wenjuan Zeng, Lin Wang, Heshui Shi, Jianjiang Feng:
Deep diagnostic agent forest (DDAF): A deep learning pathogen recognition system for pneumonia based on CT. Comput. Biol. Medicine 141: 105143 (2022)
[j3]Yukun Cao, Zeyu Miao:
Complex-InversE: Improving bilinear knowledge graph embeddings by mapping into complex space. J. Intell. Fuzzy Syst. 42(6): 6079-6089 (2022)
[j2]Yukun Cao, Yijia Tang
, Haizhou Du, Feifei Xu, Ziyue Wei, ChengKun Jin:
Isomer: Transfer enhanced dual-channel heterogeneous dependency attention network for aspect-based sentiment classification. Knowl. Based Syst. 256: 109879 (2022)
[i4]Yukun Cao, Xike Xie, Kexin Huang:
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. CoRR abs/2212.03423 (2022)- 2021
[c21]Hui Fang, Zhanqiang Guo, Guozhu Shao, Zimeng Tan, Jinyang Yu, Jia Liu, Yukun Cao, Jie Zhou, Heshui Shi, Jianjiang Feng:
Vessel Extraction and Analysis of Aortic Dissection. STACOM@MICCAI 2021: 48-56
[i3]Yukun Cao, Yijia Tang, Ziyue Wei, ChengKun Jin, Zeyu Miao, Yixin Fang, Haizhou Du, Feifei Xu:
Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification. CoRR abs/2112.03011 (2021)- 2020
[c20]Sebastiaan J. van Zelst, Yukun Cao:
A Generic Framework for Attribute-Driven Hierarchical Trace Clustering. Business Process Management Workshops 2020: 308-320
[c19]Feng Cheng, Cheng Chen, Yukang Wang
, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu:
Learning Directional Feature Maps for Cardiac MRI Segmentation. MICCAI (4) 2020: 108-117
[c18]Jiajia Chu, Yajie Chen, Wei Zhou, Heshui Shi, Yukun Cao, Dandan Tu, Ri-Chu Jin
, Yongchao Xu:
Pay More Attention to Discontinuity for Medical Image Segmentation. MICCAI (4) 2020: 166-175
[i2]Feng Cheng, Cheng Chen, Yukang Wang, Heshui Shi, Yukun Cao, Dandan Tu, Changzheng Zhang, Yongchao Xu:
Learning Directional Feature Maps for Cardiac MRI Segmentation. CoRR abs/2007.11349 (2020)
[i1]Zhanwei Xu, Yukun Cao, Cheng Jin, Guozhu Shao, Xiaoqing Liu, Jie Zhou, Heshui Shi, Jianjiang Feng:
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation. CoRR abs/2010.09456 (2020)
2010 – 2019
- 2019
[c17]Xiaofei Xu, Yukun Cao, Li Li:
Exploring Semantic Change of Chinese Word Using Crawled Web Data. ICWE 2019: 81-88
[c16]Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao:
Social-Aware and Sequential Embedding for Cold-Start Recommendation. KSEM (1) 2019: 60-71
[c15]Jingyuan Wang, Yukun Cao, Ye Du, Li Li:
DST: A Deep Urban Traffic Flow Prediction Framework Based on Spatial-Temporal Features. KSEM (1) 2019: 417-427- 2018
[c14]Yukun Cao, Xiaofei Xu, Ye Du, Jun He, Li Li:
Hybrid Decision Based Chinese News Headline Classification. APWeb/WAIM Workshops 2018: 3-12
[c13]Yukun Cao, Liai Gui:
Multi-Step wind power forecasting model Using LSTM networks, Similar Time Series and LightGBM. ICSAI 2018: 192-197
[c12]Yukun Cao, Junyi Chao:
A Short Text Semantic Classification Method for Power Grid Service Based on Attention_Gated Recurrent Unit (At_GRU) Neural Network. ICSAI 2018: 1105-1110
2000 – 2009
- 2007
[j1]Yukun Cao, Yunfeng Li:
An intelligent fuzzy-based recommendation system for consumer electronic products. Expert Syst. Appl. 33(1): 230-240 (2007)- 2006
[c11]Xiong Li, Yujin Wu, Yukun Cao, Zhiming Dong:
Cognitive Agents for Modeling Military Command Entities. IEEE ICCI 2006: 176-184
[c10]Yukun Cao, Zhengyu Zhu, Chengliang Wang:
Application of a Modified Fuzzy ART Network to User Classification for Internet Content Provider. APWeb Workshops 2006: 725-732- 2005
[c9]Yunfeng Li, Yukun Cao, Qingsheng Zhu, Zhengyu Zhu:
A Novel Framework for Web Page Classification Using Two-Stage Neural Network. ADMA 2005: 499-506
[c8]Yunfeng Li, Qingsheng Zhu, Yukun Cao:
A Request Dispatching Policy for Web Server Cluster. EEE 2005: 391-394
[c7]Yunfeng Li, Yukun Cao:
A User Classification for Internet Content Provider Based Modified Fuzzy Neural Network. ICADL 2005: 176-185
[c6]Yukun Cao, Yunfeng Li, Xiaofeng Liao:
Applying Fuzzy Logic to Recommend Consumer Electronics. ICDCIT 2005: 278-289
[c5]Yukun Cao, Yunfeng Li, Xiaofeng Liao:
Applying Modified Fuzzy Neural Network to Customer Classification of E-Business. WINE 2005: 356-365
[c4]Yukun Cao, Yunfeng Li, Chengliang Wang:
An On-line Intelligent Recommendation System for Digital Products Using Fuzzy Logic. WISE 2005: 597-598- 2004
[c3]Yukun Cao, Yunfeng Li, ZhuZheng Yu:
A Hybrid Neural Network for Web Page Classification. ICADL 2004: 641
[c2]Yunfeng Li, Qingsheng Zhu, Yukun Cao:
Automatic metadata generation based on neural network. InfoSecu 2004: 192-197
[c1]Yukun Cao, Xiaofeng Liao, Yunfeng Li:
An E-mail Filtering Approach Using Neural Network. ISNN (2) 2004: 688-694
Coauthor Index
aka: S. Kevin Zhou

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last updated on 2026-02-21 23:02 CET by the dblp team
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