Full Publications

Full publications

2026

SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation

J Ding, H Qin, T Wu, Y Cao arXiv preprint arXiv:2608.18779

Recommender Systems arXiv Digest Code

Inventory-Grounded Policy-Level Optimization for Training-Free AI Search

W Zhou, T Wu, J Ding, Z Fan, Y Cao Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP '26)

LLM Agents arXiv Digest

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

M Long, J Liu, Y Li, H Xiong, J Yan, K Wang, Y Cao, J Ding IEEE Transactions on Knowledge and Data Engineering

Recommender Systems arXiv Digest

Personalized Task Dependency Graphs for Mitigating Signal Erosion in Multi-Task Recommendation

F Liu, T Wu, Y Fang, W Zhou, Z Zhou, W Chen, Q Mei, J Zhou, H Chang, Y Cao, J Ding Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM '26)

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

J Ding, H Chang, H Qin, T Liu Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM '26)

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Zero-Observation User Reactivation with Gap-Driven Dimensional Gating

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

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

J Ding arXiv preprint arXiv:2606.10388

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 (WWW '26)

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 (AAAI '26)

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 (WSDM '26)

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2025

BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios

B Caglayan, M Wang, JD Kelleher, S Fei, G Tong, J Ding, P Zhang International Conference on Service-Oriented Computing (ICSOC '24), 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 (KDD '24)

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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 Findings '23)

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 (AAAI '23)

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 (NAACL '22)

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 (NeurIPS '21)

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 (EMNLP '21)

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 (ICIS '21)

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 (ICIS '21)

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 IEEE International Conference on Bioinformatics and Biomedicine (BIBM '11)

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