Yankai Chen - RankMe

82 papers A* 20A 3Journal 51Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Community-aware multi-granularity contrastive learning for graph anomaly detection. Expert Syst. Appl. Panpan Meng, Chenxu Wang, Shihao Wang, Kay Liu, Yankai Chen, Zhanggong Wang, Philip S. Yu
2026	A*	`conf`	ConSurv: Multimodal Continual Learning for Survival Analysis. AAAI Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J. Y. Sung, Irwin King
2026	A*	`conf`	DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. WWW Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen
2026	A*	`conf`	Generative Archetype-Grounded Item Representations for Sequential Recommendation. WWW Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen, Irwin King
2026	J	`jnl`	Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation. CoRR Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip S. Yu, Xue Liu, Chen Ma
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR 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
2026	J	`jnl`	Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration. CoRR Bowei He, Minda Hu, Zenan Xu, Hongru Wang, Licheng Zong, Yankai Chen, Chen Ma, Xue Liu, Pluto Zhou, Irwin King
2026	A*	`conf`	S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. AAAI Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2026	J	`jnl`	The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project. CoRR Huamin Chen, Xunzhuo Liu, Bowei He, Fuyuan Lyu, Yankai Chen, Xue Liu, Yuhan Liu, Junchen Jiang
2025	J	`jnl`	A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy. CoRR 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
2025	—	`conf`	A Survey of RAG-Reasoning Systems in Large Language Models. EMNLP (Findings) 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
2025	J	`jnl`	A Survey on Deep Active Learning: Recent Advances and New Frontiers. IEEE Trans. Neural Networks Learn. Syst. Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura
2025	J	`jnl`	A Survey on Large Language Model based Human-Agent Systems. CoRR 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
2025	J	`jnl`	AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees. CoRR Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S. Yu
2025	—	`conf`	CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. WWW (Companion Volume) Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo
2025	J	`jnl`	CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. CoRR Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo
2025	J	`jnl`	ConSurv: Multimodal Continual Learning for Survival Analysis. CoRR Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J. Y. Sung, Irwin King
2025	J	`jnl`	DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. CoRR Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen, Philip S. Yu
2025	J	`jnl`	DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. CoRR 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
2025	J	`jnl`	Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies. CoRR Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu
2025	J	`jnl`	From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. CoRR 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
2025	J	`jnl`	Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. CoRR Yankai Chen, Yue Que, Xinni Zhang, Chen Ma, Irwin King
2025	J	`jnl`	Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. ACM Trans. Inf. Syst. Yankai Chen, Yue Que, Xinni Zhang, Chen Ma, Irwin King
2025	J	`jnl`	LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? CoRR Jingyuan Wang, Yankai Chen, Zhonghang Li, Chao Huang
2025	J	`jnl`	MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection. CoRR Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu
2025	—	`conf`	Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions. EMNLP (Findings) Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu
2025	J	`jnl`	Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances. CoRR Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu
2025	J	`jnl`	PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents. CoRR 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
2025	J	`jnl`	RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback. CoRR 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
2025	J	`jnl`	Rank Gap Sensitive Deep AUC maximization for CTR prediction. Pattern Recognit. Fangyuan Luo, Yankai Chen, Jun Wu, Yidong Li
2025	J	`jnl`	S CoRR Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2025	J	`jnl`	Semi-Supervised In-Context Learning: A Baseline Study. CoRR Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu
2025	A*	`conf`	Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. WWW Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao
2025	J	`jnl`	Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. CoRR Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao
2025	—	`conf`	TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. WWW (Companion Volume) Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma
2025	J	`jnl`	TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. CoRR Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma
2025	—	`conf`	Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. EMNLP (Findings) Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. CoRR Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu
2025	—	`conf`	TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. ACL (1) Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu
2025	J	`jnl`	TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. CoRR Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu
2025	J	`jnl`	Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. CoRR 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
2025	A*	`conf`	UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. SIGIR Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma
2025	J	`jnl`	UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. CoRR Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma
2024	J	`jnl`	A Survey on Deep Active Learning: Recent Advances and New Frontiers. CoRR Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura
2024	A*	`conf`	Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
2024	J	`jnl`	Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
2024	A	`conf`	EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. CIKM Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King
2024	A	`conf`	Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy. CIKM Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu
2024	A*	`conf`	Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King
2024	A*	`conf`	HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. AAAI Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King
2024	J	`jnl`	HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. CoRR Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King
2024	A*	`conf`	Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King
2024	J	`jnl`	Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. CoRR Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King
2024	A*	`conf`	Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. KDD Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King
2024	J	`jnl`	Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. CoRR Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King
2024	J	`jnl`	Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. IEEE Trans. Knowl. Data Eng. Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King
2023	J	`jnl`	A survey on graph embedding techniques for biomedical data: Methods and applications. Inf. Fusion Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King
2023	J	`jnl`	An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
2023	A*	`conf`	Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King
2023	J	`jnl`	Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. CoRR Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King
2023	A*	`conf`	Contrastive Cross-scale Graph Knowledge Synergy. KDD Yifei Zhang, Yankai Chen, Zixing Song, Irwin King
2023	A*	`conf`	Hyperbolic Representation Learning: Revisiting and Advancing. ICML Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
2023	J	`jnl`	Hyperbolic Representation Learning: Revisiting and Advancing. CoRR Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
2023	A*	`conf`	Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
2023	A*	`conf`	WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
2023	J	`jnl`	WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
2022	—	`conf`	An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King
2022	A*	`conf`	Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
2022	J	`jnl`	Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King
2022	A*	`conf`	Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
2022	J	`jnl`	Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
2022	A	`conf`	Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King
2021	J	`jnl`	A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. CoRR Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King
2021	J	`jnl`	Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
2021	J	`jnl`	Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King
2021	J	`jnl`	Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
2020	—	`conf`	A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. ICONIP (5) Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King
2020	A*	`conf`	Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
2019	A*	`conf`	Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2019	J	`jnl`	Exploring Communities in Large Profiled Graphs. CoRR Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2019	J	`jnl`	Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2017	J	`jnl`	Effective and efficient attributed community search. VLDB J. Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu