SkillContrast: Difference-Guided Text Selection for Agent Skill Reranking Jiandong Ding, Honglei Ji, Ming Liu, Tao Duan arXiv 2026 LLM Agents arXiv Digest
Mitigating Popularity Bias in Recommendation with Global Listwise Learning and Progressive Bi-Weighting Tianyu Zhu, Jiandong Ding, Yansong Shi, Guoqing Chen, Jian-Yun Nie ACM Transactions on Information Systems (TOIS) Recommender Systems arXiv Digest
SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation Jiandong Ding, Huijie Qin, Tiandeng Wu, Yi Cao arXiv 2026 Recommender Systems arXiv Digest Code
Inventory-Grounded Policy-Level Optimization for Training-Free AI Search Wei Zhou, Tiandeng Wu, Jiandong Ding, Zhufeng Fan, Yi Cao EMNLP 2026 LLM Agents arXiv Digest
Towards Practical Large-scale Dynamical Heterogeneous Graph Embedding: Cold-start Resilient Recommendation Mabiao Long, Jiaxi Liu, Yufeng Li, Hao Xiong, Junchi Yan, Kefan Wang, Yi Cao, Jiandong Ding IEEE Transactions on Knowledge and Data Engineering (TKDE) Recommender Systems arXiv Digest
Personalized Task Dependency Graphs for Mitigating Signal Erosion in Multi-Task Recommendation Fuyuan Liu, Tiandeng Wu, Yaqun Fang, Wei Zhou, Zehao Zhou, Wenping Chen, Qishun Mei, Jiaxin Zhou, Heng Chang, Yi Cao, Jiandong Ding CIKM 2026 Recommender Systems arXiv Digest
SIDInspector: A Mapping-First Diagnostic Resource for Semantic-ID Tokenizers Jiandong Ding, Heng Chang, Huijie Qin, Tianying Liu CIKM 2026 Recommender Systems arXiv Digest Code
Zero-Observation User Reactivation with Gap-Driven Dimensional Gating Jiandong Ding, Tianying Liu, Fuyuan Liu, Huijie Qin, Tiandeng Wu RecSys 2026 Recommender Systems DOI Digest Code
Right Family, Wrong Skill: Evaluating Risk Exposure in Agent Skill Retrieval Jiandong Ding, Honglei Ji, Ming Liu, Tao Duan arXiv 2026 LLM Agents arXiv Digest
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations Zerui Chen, Heng Chang, Tianying Liu, Chuantian Zhou, Yi Cao, Jiandong Ding, Ming Liu, Bing Qin WWW 2026 Recommender Systems arXiv Digest
Invariant feature learning for counterfactual watch-time prediction in video recommendation Chenghou Jin, Yixin Ren, Hongxu Ma, Yewei Xia, Yi Guan, Hao Zhang, Jiandong Ding, Jihong Guan, Shuigeng Zhou AAAI 2026 Recommender Systems DOI Digest
RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems Ke Cheng, Heng Chang, Pengyang Wang, Liang Gu, Jiandong Ding, Yi Cao, Junchen Ye, Bowen Du WSDM 2026 Recommender Systems PDF Digest
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios Bora Caglayan, Mingxue Wang, John D. Kelleher, Shen Fei, Gui Tong, Jiandong Ding, Puchao Zhang ICSOC 2024 LLM Agents DOI Digest
Unified Low-rank Compression Framework for Click-through Rate Prediction Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu KDD 2024 Recommender Systems PDF Digest
P/D-Serve: Serving Disaggregated Large Language Model at Scale Yibo Jin, Tao Wang, Huimin Lin, Mingyang Song, Peiyang Li, Yipeng Ma, Yicheng Shan, Zhengfan Yuan, Cailong Li, Yajing Sun, Tiandeng Wu, Xing Chu, Ruizhi Huan, Li Ma, Xiao You, Wenting Zhou, Yunpeng Ye, Wen Liu, Xiangkun Xu, Yongsheng Zhang, Tiantian Dong, Jiawei Zhu, Zhe Wang, Xijian Ju, Jianxun Song, Haoliang Cheng, Xiaojing Li, Jiandong Ding, Hefei Guo, Zhengyong Zhang arXiv 2024 LLM Agents PDF Digest
Neural Topic Modeling Based on Cycle Adversarial Training and Contrastive Learning Boyu Wang, Linhai Zhang, Deyu Zhou, Yi Cao, Jiandong Ding ACL Findings 2023 Data Mining PDF Digest
Continual Graph Convolutional Network for Text Classification Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding AAAI 2023 Data Mining PDF Digest
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification Minyi Zhao, Lu Zhang, Yi Xu, Jiandong Ding, Jihong Guan, Shuigeng Zhou NAACL 2022 Data Mining PDF Digest
DP-SSL: Towards Robust Semi-Supervised Learning with a Few Labeled Samples Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou NeurIPS 2021 Data Mining PDF Digest
Weakly-Supervised Text Classification Based on Keyword Graph Lu Zhang, Jiandong Ding, Yi Xu, Yingyao Liu, Shuigeng Zhou EMNLP 2021 Data Mining PDF Digest
Effectiveness of AI Assistance in Live-Streaming: A Randomized Field Experiment Lingli Wang, Yumei He, Jiandong Ding, Nina Huang, Yili Hong, Xunhua Guo, De Liu, Guoqing Chen ICIS 2021 Data Mining Publisher Digest
The Sales Data Sells: Effects of Real-Time Sales Analytics on Live Streaming Selling Yumei He, Lingli Wang, Nina Huang, Yili Hong, Jiandong Ding, Yan Sun, Yingyao Liu ICIS 2021 Data Mining Publisher Digest
Automatically Clustering Large-Scale miRNA Sequences: Methods and Experiments Linxia Wan, Jiandong Ding, Ting Jin, Jihong Guan, Shuigeng Zhou BMC Genomics Data Mining Publisher Digest
Finding MicroRNA Targets in Plants: Current Status and Perspectives Jiandong Ding, Shuigeng Zhou, Jihong Guan Genomics, Proteomics and Bioinformatics (GPB) Data Mining Publisher Digest
Genome-Wide Search for miRNA-target Interactions in Arabidopsis Thaliana with an Integrated Approach Jiandong Ding, Danqing Li, Uwe Ohler, Jihong Guan, Shuigeng Zhou BMC Genomics Data Mining Publisher Digest
miRFam: An Effective Automatic miRNA Classification Method Based on n-Grams and a Multiclass SVM Jiandong Ding, Shuigeng Zhou, Jihong Guan BMC Bioinformatics Data Mining DOI Digest
imiRTP: An Integrated Method to Identifying miRNA-target Interactions in Arabidopsis Thaliana Jiandong Ding, Shusi Yu, Uwe Ohler, Jihong Guan, Shuigeng Zhou BIBM 2011 Data Mining Publisher Digest
MiRenSVM: Towards Better Prediction of microRNA Precursors Using an Ensemble SVM Classifier with Multi-Loop Features Jiandong Ding, Shuigeng Zhou, Jihong Guan BMC Bioinformatics Data Mining DOI Digest