Yankai Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
14
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. | Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma |
| 2026 | AAAI | ConSurv: Multimodal Continual Learning for Survival Analysis. | Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J. Y. Sung, Irwin King |
| 2026 | ACL | Many-Shot Scaling of In-Context Learning with Self-Generated Demonstrations. | Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu |
| 2026 | ACL | Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. | 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, Yinghui Li, Renhe Jiang, Philip S. Yu |
| 2026 | ACL | LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? | Jingyuan Wang, Yankai Chen, Zhonghang Li, Chao Huang |
| 2026 | ACL | GAM: Hierarchical Graph-based Agentic Memory for LLM Agents. | 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 |
| 2026 | ACL | FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure. | Fan Zhang, Mingzi Song, Rania Elbadry, Yankai Chen, Shaobo Wang, Yixi Zhou, Xunwen Zheng, Yueru He, Yuyang Dai, Georgi Nenkov Georgiev, Ayesha Gull, Muhammad Usman Safder, Fan Wu, Liyuan Meng, Fengxian Ji, Junning Zhao, Xueqing Peng, Jimin Huang, Y. U. Chen, Xue (Steve) Liu, Preslav Nakov, Zhuohan Xie |
| 2026 | ACL | LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey. | Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Jizhou Guo, Yankai Chen, Chunyu Miao, Hoang H. Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Hanrong Zhang, Fangxin Wang, Pengfei Zhang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Philip S. Yu |
| 2026 | WWW | Generative Archetype-Grounded Item Representations for Sequential Recommendation. | Yifan Li, Jiahong Liu, Xinni Zhang, Hao Chen, Yankai Chen, Wenhao Yu, Jianting Chen, Irwin King |
| 2026 | WWW | DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. | Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen |
| 2026 | SIGIR | Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation. | Yan Wang, Yi Han, Lingfei Qian, Yueru He, Xueqing Peng, Dongji Feng, Zhuohan Xie, Vincent Jim Zhang, Yuqing Guo, Fengran Mo, Jimin Huang, Yankai Chen, Jian-Yun Nie |
| 2026 | SIGIR | FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs. | Yan Wang, Keyi Wang, Shanshan Yang, Jaisal Patel, Jeff Zhao, Fengran Mo, Xueqing Peng, Lingfei Qian, Yankai Chen, Vctor Gutirrez-Basulto, Jimin Huang, Guojun Xiong, Xiao-Yang Liu, Jian-Yun Nie |
| 2025 | ACL | TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. | Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu |
| 2025 | EMNLP | Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. | Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu |
| 2025 | EMNLP | A Survey of RAG-Reasoning Systems in Large Language Models. | 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 | EMNLP | Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions. | Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu |
| 2025 | WWW | Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. | Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao |
| 2025 | WWW | TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. | Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma |
| 2025 | WWW | CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. | Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo |
| 2025 | SIGIR | UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. | Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma |
| 2024 | AAAI | Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. | Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King |
| 2024 | AAAI | HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. | Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King |
| 2024 | AAAI | Influential Exemplar Replay for Incremental Learning in Recommender Systems. | Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King |
| 2024 | CIKM | Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy. | Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu |
| 2024 | CIKM | EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. | Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King |
| 2024 | KDD | Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. | Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King |
| 2024 | KDD | Geometric View of Soft Decorrelation in Self-Supervised Learning. | Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King |
| 2023 | ICML | Hyperbolic Representation Learning: Revisiting and Advancing. | Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King |
| 2023 | KDD | Contrastive Cross-scale Graph Knowledge Synergy. | Yifei Zhang, Yankai Chen, Zixing Song, Irwin King |
| 2023 | WWW | Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. | Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King |
| 2023 | SIGIR | WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. | Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King |
| 2022 | ICDE | Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. | Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King |
| 2022 | IJCNLP | An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. | Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King |
| 2022 | KDD | Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. | Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King |
| 2022 | WSDM | Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. | Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King |
| 2020 | ICONIP | A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. | Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King |
| 2020 | IJCAI | Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. | Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King |
| 2019 | ICDE | Exploring Communities in Large Profiled Graphs (Extended Abstract). | Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang |
| 2005 | WSC | Application of multi-objective simulation-optimization techniques to inventory management problems. | Loo Hay Lee, Suyan Teng, Ek Peng Chew, Iftekhar A. Karimi, Kong Wei Lye, Peter Lendermann, Yankai Chen, Choon Hwee Koh |