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ORCIDYankai Chen 0001
Person information
- affiliation: University of Illinois Chicago, IL, USA
- affiliation (former): Cornell University, NY, USA
- affiliation (PhD 2023): Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Yankai Chen 0002 — National University of Singapore, Singapore
- Yankai Chen 0003 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China
- Yankai Chen 0004 — Shanghai Jiao Tong University, School of Biomedical Engineering, China
- Yankai Chen 0005 — McGill University, Canada
Other persons with a similar name
- Yan-Kai Chen 0001
![[0000-0001-7161-9503]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7161-9503")
— University of Edinburgh, School of Biological Sciences, UK
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2020 – today
- 2026
[j8]Panpan Meng, Chenxu Wang, Shihao Wang, Kay Liu, Yankai Chen, Zhanggong Wang, Philip S. Yu:
Community-aware multi-granularity contrastive learning for graph anomaly detection. Expert Syst. Appl. 305: 130872 (2026)- [c31]Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma:
S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. AAAI 2026: 354-362 - [c30]Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J. Y. Sung, Irwin King:
ConSurv: Multimodal Continual Learning for Survival Analysis. AAAI 2026: 27899-27907 - [c29]Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen:
DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. WWW 2026: 857-868 - [c28]Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen, Irwin King:
Generative Archetype-Grounded Item Representations for Sequential Recommendation. WWW 2026: 6642-6653 - [i48]Bowei He, Minda Hu, Zenan Xu, Hongru Wang, Licheng Zong, Yankai Chen, Chen Ma, Xue Liu, Pluto Zhou, Irwin King:
Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration. CoRR abs/2602.03647 (2026) - [i47]Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu:
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR abs/2602.06052 (2026) - [i46]Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip S. Yu, Xue Liu, Chen Ma:
Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation. CoRR abs/2602.12172 (2026) - [i45]Huamin Chen, Xunzhuo Liu, Bowei He, Fuyuan Lyu, Yankai Chen, Xue Liu, Yuhan Liu, Junchen Jiang:
The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project. CoRR abs/2603.21354 (2026) - [i44]Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Enze Ma, Leyi Pan, Chunyu Miao, Wei-Chieh Huang, Xue (Steve) Liu, Philip S. Yu:
Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models. CoRR abs/2604.00375 (2026) - [i43]Henry Peng Zou, Chunyu Miao, Wei-Chieh Huang, Yankai Chen, Yue Zhou, Hanrong Zhang, Yaozu Wu, Liancheng Fang, Zhengyao Gu, Zhen Zhang, Kening Zheng, Fangxin Wang, Yi Nian, Shanghao Li, Wenzhe Fan, Langzhou He, Weizhi Zhang, Xue (Steve) Liu, Philip S. Yu:
When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation. CoRR abs/2604.00892 (2026) - [i42]Hanrong Zhang, Shicheng Fan, Henry Peng Zou, Yankai Chen, Zhenting Wang, Jiayu Zhou, Chengze Li, Wei-Chieh Huang, Yifei Yao, Kening Zheng, Xue Liu, Xiaoxiao Li, Philip S. Yu:
CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification. CoRR abs/2604.01687 (2026) - [i41]Dun Yuan, Fuyuan Lyu, Ye Yuan, Weixu Zhang, Bowei He, Jiayi Geng, Linfeng Du, Zipeng Sun, Yankai Chen, Changjiang Han, Jikun Kang, Xi Chen, Haolun Wu, Xue Liu:
Beyond Message Passing: A Semantic View of Agent Communication Protocols. CoRR abs/2604.02369 (2026) - [i40]Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang:
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents. CoRR abs/2604.12285 (2026) - 2025
- [j7]Fangyuan Luo, Yankai Chen, Jun Wu, Yidong Li:
Rank Gap Sensitive Deep AUC maximization for CTR prediction. Pattern Recognit. 164: 111496 (2025) - [j6]Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura:
A Survey on Deep Active Learning: Recent Advances and New Frontiers. IEEE Trans. Neural Networks Learn. Syst. 36(4): 5879-5899 (2025) - [j5]Yankai Chen, Yue Que, Xinni Zhang, Chen Ma, Irwin King:
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. ACM Trans. Inf. Syst. 43(5): 131:1-131:28 (2025) - [c27]Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu:
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. ACL (1) 2025: 30750-30762 - [c26]Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu:
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. EMNLP (Findings) 2025: 11724-11741 - [c25]Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu:
A Survey of RAG-Reasoning Systems in Large Language Models. EMNLP (Findings) 2025: 12120-12145 - [c24]Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu:
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions. EMNLP (Findings) 2025: 12756-12773 - [c23]Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma:
UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. SIGIR 2025: 2647-2651 - [c22]Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo:
CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. WWW (Companion Volume) 2025: 354-363 - [c21]Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma:
TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. WWW (Companion Volume) 2025: 1118-1122 - [c20]Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao:
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. WWW 2025: 3108-3118 - [i39]Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu:
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances. CoRR abs/2502.16804 (2025) - [i38]Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu:
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. CoRR abs/2502.19163 (2025) - [i37]Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu:
Semi-Supervised In-Context Learning: A Baseline Study. CoRR abs/2503.03062 (2025) - [i36]Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao:
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. CoRR abs/2503.20697 (2025) - [i35]Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo:
CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. CoRR abs/2503.22740 (2025) - [i34]Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma:
TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. CoRR abs/2503.23072 (2025) - [i33]Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu:
A Survey on Large Language Model based Human-Agent Systems. CoRR abs/2505.00753 (2025) - [i32]Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu:
MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection. CoRR abs/2505.24267 (2025) - [i31]Yankai Chen, Yue Que, Xinni Zhang, Chen Ma, Irwin King:
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. CoRR abs/2506.02750 (2025) - [i30]Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma:
UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. CoRR abs/2506.02784 (2025) - [i29]Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, Philip S. Yu:
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy. CoRR abs/2506.09420 (2025) - [i28]Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu:
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. CoRR abs/2506.18959 (2025) - [i27]Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu:
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. CoRR abs/2507.09477 (2025) - [i26]Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen, Philip S. Yu:
DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. CoRR abs/2508.00664 (2025) - [i25]Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu:
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. CoRR abs/2509.13790 (2025) - [i24]Yaozu Wu, Jizhou Guo, Dongyuan Li, Henry Peng Zou, Wei-Chieh Huang, Yankai Chen, Zhen Wang, Weizhi Zhang, Yangning Li, Meng Zhang, Renhe Jiang, Philip S. Yu:
PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents. CoRR abs/2509.23614 (2025) - [i23]Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H. Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Yinghui Li, Hai-Tao Zheng, Xue Liu, Irwin King, Philip S. Yu:
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback. CoRR abs/2510.06186 (2025) - [i22]Jingyuan Wang, Yankai Chen, Zhonghang Li, Chao Huang:
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? CoRR abs/2510.07962 (2025) - [i21]Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Renhe Jiang, Philip S. Yu:
DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. CoRR abs/2510.10994 (2025) - [i20]Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu:
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies. CoRR abs/2510.22095 (2025) - [i19]Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma:
S2Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. CoRR abs/2511.07006 (2025) - [i18]Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J. Y. Sung, Irwin King:
ConSurv: Multimodal Continual Learning for Survival Analysis. CoRR abs/2511.09853 (2025) - [i17]Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S. Yu:
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees. CoRR abs/2512.04550 (2025) - 2024
- [j4]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. IEEE Trans. Knowl. Data Eng. 36(12): 9418-9432 (2024) - [c19]Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. AAAI 2024: 4614-4622 - [c18]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI 2024: 8302-8310 - [c17]Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King:
Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI 2024: 9368-9376 - [c16]Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu:
Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy. CIKM 2024: 3897-3901 - [c15]Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King:
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. CIKM 2024: 4819-4827 - [c14]Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King:
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. KDD 2024: 385-396 - [c13]Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD 2024: 4338-4349 - [i16]Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. CoRR abs/2401.07212 (2024) - [i15]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR abs/2402.12411 (2024) - [i14]Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura:
A Survey on Deep Active Learning: Recent Advances and New Frontiers. CoRR abs/2405.00334 (2024) - [i13]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. CoRR abs/2408.09239 (2024) - [i12]Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King:
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. CoRR abs/2410.05352 (2024) - 2023
- [j3]Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King:
A survey on graph embedding techniques for biomedical data: Methods and applications. Inf. Fusion 100: 101909 (2023) - [c12]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. ICML 2023: 39639-39659 - [c11]Yifei Zhang, Yankai Chen, Zixing Song, Irwin King:
Contrastive Cross-scale Graph Knowledge Synergy. KDD 2023: 3422-3433 - [c10]Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King:
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS 2023 - [c9]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR 2023: 2521-2525 - [c8]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW 2023: 3164-3172 - [i11]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. CoRR abs/2304.00241 (2023) - [i10]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR abs/2305.04410 (2023) - [i9]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR abs/2306.09118 (2023) - [i8]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR abs/2311.06487 (2023) - 2022
- [c7]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE 2022: 299-311 - [c6]Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King:
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) 2022: 102-108 - [c5]Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King:
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD 2022: 168-178 - [c4]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King:
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM 2022: 94-102 - [i7]Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King:
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR abs/2206.02115 (2022) - [i6]Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King:
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR abs/2209.13973 (2022) - 2021
- [i5]Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. CoRR abs/2101.06569 (2021) - [i4]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King:
Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR abs/2108.06468 (2021) - [i3]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR abs/2109.02046 (2021) - [i2]Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King:
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR abs/2112.01944 (2021) - 2020
- [c3]Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. ICONIP (5) 2020: 21-29 - [c2]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550
2010 – 2019
- 2019
- [j2]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. 31(8): 1624-1629 (2019) - [c1]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE 2019: 2159-2160 - [i1]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. CoRR abs/1901.05451 (2019) - 2017
- [j1]Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu:
Effective and efficient attributed community search. VLDB J. 26(6): 803-828 (2017)
Coauthor Index
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