Full Publications

Full publications

23 papers across recommender systems, LLM agents, data mining, and earlier sequence-analysis work, ordered from newest to oldest.

2026

Zero-Observation User Reactivation with Gap-Driven Dimensional Gating

J Ding, T Liu, F Liu, H Qin, T Wu Accepted to the 20th ACM Conference on Recommender Systems (RecSys '26)

Recommender Systems Digest Code

SkillResolve-Bench: Measuring and Resolving Same-Capability Ambiguity in Agent Skill Retrieval

J Ding arXiv preprint arXiv:2606.10388

LLM Agents arXiv Digest

SIDInspector: A Mapping-First Diagnostic Resource for Semantic-ID Tokenizers

J Ding, H Chang, H Qin, T Liu arXiv preprint arXiv:2606.10375

LLM Agents arXiv Digest

Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations

Z Chen, H Chang, T Liu, C Zhou, Y Cao, J Ding, M Liu, B Qin Proceedings of the ACM Web Conference 2026

Recommender Systems Digest

Invariant feature learning for counterfactual watch-time prediction in video recommendation

C Jin, Y Ren, H Ma, Y Xia, Y Guan, H Zhang, J Ding, J Guan, S Zhou Proceedings of the AAAI Conference on Artificial Intelligence

Recommender Systems Digest

RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems

K Cheng, H Chang, P Wang, L Gu, J Ding, Y Cao, J Ye, B Du Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining

Recommender Systems PDF Digest

2025

Towards Practical Large-scale Dynamical Heterogeneous Graph Embedding: Cold-start Resilient Recommendation

M Long, J Liu, Y Li, H Xiong, J Yan, K Wang, Y Cao, J Ding arXiv preprint arXiv:2512.13120

Recommender Systems arXiv Digest

BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios

B Caglayan, M Wang, JD Kelleher, S Fei, G Tong, J Ding, P Zhang Lecture Notes in Computer Science, 15405, 357-372

LLM Agents DOI Digest

2024

Unified Low-rank Compression Framework for Click-through Rate Prediction

H Yu, M Fu, J Ding, Y Zhou, J Wu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recommender Systems PDF Digest

P/D-Serve: Serving Disaggregated Large Language Model at Scale

Y Jin, T Wang, H Lin, M Song, P Li, Y Ma, Y Shan, Z Yuan, C Li, Y Sun, et al. arXiv preprint arXiv:2408.08147

LLM Agents PDF Digest

2023

Neural Topic Modeling Based on Cycle Adversarial Training and Contrastive Learning

B Wang, L Zhang, D Zhou, Y Cao, J Ding Findings of the Association for Computational Linguistics: ACL 2023

Data Mining PDF Digest

Continual Graph Convolutional Network for Text Classification

T Wu, Q Liu, Y Cao, Y Huang, XM Wu, J Ding Proceedings of the AAAI Conference on Artificial Intelligence

Data Mining PDF Digest

2022

EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification

M Zhao, L Zhang, Y Xu, J Ding, J Guan, S Zhou Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics

Data Mining PDF Digest

2021

DP-SSL: Towards Robust Semi-Supervised Learning with a Few Labeled Samples

Y Xu, J Ding, L Zhang, S Zhou Advances in Neural Information Processing Systems

Data Mining PDF Digest

Weakly-Supervised Text Classification Based on Keyword Graph

L Zhang, J Ding, Y Xu, Y Liu, S Zhou Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Data Mining PDF Digest

Effectiveness of AI Assistance in Live-Streaming: A Randomized Field Experiment

L Wang, Y He, J Ding, N Huang, Y Hong, X Guo, D Liu, G Chen ICIS 2021 Proceedings

Data Mining PDF Digest

The Sales Data Sells: Effects of Real-Time Sales Analytics on Live Streaming Selling

Y He, L Wang, N Huang, Y Hong, J Ding, Y Sun, Y Liu ICIS 2021 Proceedings

Data Mining PDF Digest

2012

Automatically Clustering Large-Scale miRNA Sequences: Methods and Experiments

L Wan, J Ding, T Jin, J Guan, S Zhou BMC Genomics

Data Mining PDF Digest

Finding MicroRNA Targets in Plants: Current Status and Perspectives

J Ding, S Zhou, J Guan Genomics, Proteomics and Bioinformatics

Data Mining PDF Digest

Genome-Wide Search for miRNA-target Interactions in Arabidopsis Thaliana with an Integrated Approach

J Ding, D Li, U Ohler, J Guan, S Zhou BMC Genomics

Data Mining PDF Digest

2011

miRFam: An Effective Automatic miRNA Classification Method Based on n-Grams and a Multiclass SVM

J Ding, S Zhou, J Guan BMC Bioinformatics

Data Mining DOI Digest

imiRTP: An Integrated Method to Identifying miRNA-target Interactions in Arabidopsis Thaliana

J Ding, S Yu, U Ohler, J Guan, S Zhou 2011 IEEE International Conference on Bioinformatics and Biomedicine

Data Mining PDF Digest

2010

MiRenSVM: Towards Better Prediction of microRNA Precursors Using an Ensemble SVM Classifier with Multi-Loop Features

J Ding, S Zhou, J Guan BMC Bioinformatics

Data Mining DOI Digest