| 2026 | AAAI | scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing. | Ping Xu, Zaitian Wang, Zhirui Wang, Pengjiang Li, Jiajia Wang, Ran Zhang, Pengfei Wang, Yuanchun Zhou |
| 2026 | ACL | TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery. | Wenxi Xu, Chuan Qin, Xi Chen, Chuyu Fang, Yuanchun Zhou, Hengshu Zhu |
| 2026 | DASFAA | Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning. | Wenyao Li, Ran Zhang, Pengyang Wang, Yuanchun Zhou, Pengfei Wang |
| 2026 | ICDE | DLRover-LM: LLM Pre-Training Framework With Thousands of Accelerators in AntGroup. | Ziling Huang, Zhengmao Ye, Qingsong Cai, Zelong Huang, Bo Sang, Haitao Zhang, Jian Sha, Tingfeng Lan, Hui Lu, Yuanchun Zhou, Mingjie Tang |
| 2025 | AAAI | Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction. | Ran Zhang, Xuezhi Wang, Guannan Liu, Pengyang Wang, Yuanchun Zhou, Pengfei Wang |
| 2025 | ACL | Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning. | Hao Dong, Ziyue Qiao, Zhiyuan Ning, Qi Hao, Yi Du, Pengyang Wang, Yuanchun Zhou |
| 2025 | ACL | Diversity-oriented Data Augmentation with Large Language Models. | Zaitian Wang, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu, Pengfei Wang, Yuanchun Zhou |
| 2025 | DASFAA | Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training. | Xunxin Cai, Chengrui Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao |
| 2025 | ICDE | Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. | Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao |
| 2025 | ICDM | scUnified: An AI-Ready Standardized Resource for Single-Cell RNA Sequencing Analysis. | Ping Xu, Zaitian Wang, Zhirui Wang, Pengjiang Li, Ran Zhang, Gaoyang Li, Hanyu Xie, Jiajia Wang, Yuanchun Zhou, Pengfei Wang |
| 2025 | IJCAI | Dynamic and Adaptive Feature Generation with LLM. | Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu |
| 2025 | IJCAI | Rethinking Graph Contrastive Learning Through Relative Similarity Preservation. | Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou |
| 2025 | IJCAI | scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data. | Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang |
| 2025 | KDD | SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. | Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu |
| 2025 | WWW | AutoDive+: An Adaptive Model Enhanced Multimodal Online Annotation Tool. | Ludi Wang, Dongze Song, Qiang Cui, Xueqing Chen, Yuanchun Zhou, Wenjuan Cui, Yi Du |
| 2024 | CIKM | H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction. | Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang |
| 2024 | CIKM | PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. | Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou |
| 2024 | CIKM | GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. | Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao |
| 2024 | CIKM | MOAT: Graph Prompting for 3D Molecular Graphs. | Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao |
| 2024 | DASFAA | scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding. | Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang |
| 2024 | DASFAA | M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction. | Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang |
| 2024 | ICDM | SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data. | Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao |
| 2024 | ICONIP | AMPCL: Adaptive Meta-path Selection and Contrastive Learning for miRNA-Disease Prediction. | Wentao Cui, Chuan Hu, Chen Fang, Qingqing Long, Jiahao Zhang, Xuezhi Wang, Yuanchun Zhou |
| 2024 | IJCAI | FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. | Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou |
| 2024 | KDD | Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. | Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu |
| 2024 | WWW | Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. | Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou |
| 2024 | SIGMOD | A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System. | Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Yuanchun Zhou, Mingjie Tang, Jianguo Wang |
| 2023 | AAAI | Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. | Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | ACL | Autodive: An Integrated Onsite Scientific Literature Annotation Tool. | Yi Du, Ludi Wang, Mengyi Huang, Dongze Song, Wenjuan Cui, Yuanchun Zhou |
| 2023 | ICDM | Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. | Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | ICDM | Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. | Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou |
| 2023 | ICDM | Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. | Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou |
| 2023 | ICDM | RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. | Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui |
| 2023 | IJCAI | Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. | Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu |
| 2023 | IJCAI | Semi-supervised Domain Adaptation in Graph Transfer Learning. | Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong |
| 2023 | SDM | Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. | Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu |
| 2023 | SDM | Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. | Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu |
| 2023 | SDM | NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. | Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou |
| 2022 | SDM | Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. | Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu |
| 2021 | AAAI | Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract). | Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou |
| 2021 | AAAI | Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. | Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu |
| 2021 | APWEB | Data Augmentation for Graph Convolutional Network on Semi-supervised Classification. | Zhengzheng Tang, Ziyue Qiao, Xuehai Hong, Yang Wang, Fayaz Ali Dharejo, Yuanchun Zhou, Yi Du |
| 2021 | ICDM | Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. | Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou |
| 2021 | PAKDD | LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. | Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou |
| 2020 | ICDM | Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. | Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou |
| 2020 | IGARSS | A Crowdsourcing-Based Platform for Labelling Remote Sensing Images. | Jianghua Zhao, Xuezhi Wang, Yuanchun Zhou |
| 2020 | IJCAI | Exploiting Mutual Information for Substructure-aware Graph Representation Learning. | Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua |
| 2018 | CCGRID | Approximations and Bounds for (n, k) Fork-Join Queues: A Linear Transformation Approach. | Huajin Wang, Jianhui Li, Zhihong Shen, Yuanchun Zhou |
| 2018 | DATE | Power optimization through peripheral circuit reusing integrated with loop tiling for RRAM crossbar-based CNN. | Yuanhui Ni, Weiwen Chen, Wenjuan Cui, Yuanchun Zhou, Keni Qiu |
| 2018 | IGARSS | Towards a Framework for Offering Remote Sensing Data in an Analysis-Ready Format. | Jianghua Zhao, Xuezhi Wang, Yuanchun Zhou, Qiming Qin |
| 2018 | PAKDD | Vulnerability Assessment of Metro Systems Based on Dynamic Network Structure. | Jun Pu, Chuanren Liu, Jianghua Zhao, Ke Han, Yuanchun Zhou |
| 2016 | DASFAA | How to Use the Social Media Data in Assisting Restaurant Recommendation. | Wenjuan Cui, Pengfei Wang, Xin Chen, Yi Du, Danhuai Guo, Yuanchun Zhou, Jianhui Li |
| 2016 | DASFAA | Species Distribution Modeling via Spatial Bagging of Multiple Conditional Random Fields. | Danhuai Guo, Yuanchun Zhou, Yingqiu Zhu, Jianhui Li |
| 2016 | IGARSS | Distributed retrieval for massive remote sensing image metadata on spark. | Fengyang Wang, Xuezhi Wang, Wenjuan Cui, Xiao Xiao, Yuanchun Zhou, Jianhui Li |
| 2015 | ICDM | How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. | Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li |
| 2015 | PAKDD | Automated Detection for Probable Homologous Foodborne Disease Outbreaks. | Xiao Xiao, Yong Ge, Yunchang Guo, Danhuai Guo, Yi Shen, Yuanchun Zhou, Jianhui Li |
| 2014 | BigData | Large-Scale Heterogeneous Program Retrieval through Frequent Pattern Discovery and Feature Correlation Analysis. | Bo Liu, Liang Wu, Qiuxiang Dong, Yuanchun Zhou |
| 2014 | ICDM | Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. | Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong |
| 2014 | WWW | Improving query suggestion through noise filtering and query length prediction. | Liang Wu, Bin Cao, Yuanchun Zhou, Jianhui Li |
| 2014 | VLDB | Benchmarking Replication and Consistency Strategies in Cloud Serving Databases: HBase and Cassandra. | Huajin Wang, Jianhui Li, Haiming Zhang, Yuanchun Zhou |
| 2014 | SDM | A New Framework for Traffic Anomaly Detection. | Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li |
| 2013 | DASFAA | Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. | Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo, Yuanchun Zhou |
| 2013 | ICNC | PartFastTree: Constructing large phylogenetic trees and estimating their reliability. | Jianhui Li, Zhen Meng, Yanfei Hou, Yuanchun Zhou, Yanping Gao |
| 2011 | ADMA | Generating Syntactic Tree Templates for Feature-Based Opinion Mining. | Liang Wu, Yuanchun Zhou, Fei Tan, Fenglei Yang, Jianhui Li |
| 2010 | ADMA | Analyze the Wild Birds' Migration Tracks by MPI-Based Parallel Clustering Algorithm. | Haiming Zhang, Yuanchun Zhou, Jianhui Li, Xuezhi Wang, Baoping Yan |
| 2010 | DASFAA | Birds Bring Flues? Mining Frequent and High Weighted Cliques from Birds Migration Networks. | MingJie Tang, Weihang Wang, Yexi Jiang, Yuanchun Zhou, Jinyan Li, Peng Cui, Ying Liu, Baoping Yan |
| 2009 | ADMA | Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis. | MingJie Tang, Yuanchun Zhou, Peng Cui, Weihang Wang, Jinyan Li, Haiting Zhang, YuanSheng Hou, Baoping Yan |
| 2009 | ISPA | A Web Based Workflow System for Distributed Atmospheric Data Processing. | Jie Cheng, Xiaoguang Lin, Yuanchun Zhou, Jianhui Li |
| 2005 | ADMA | Mining Quantitative Association Rules on Overlapped Intervals. | Qiang Tong, Baoping Yan, Yuanchun Zhou |