Taming Disparity in Recommendation Algorithms: Explainability and Mitigation

Research output

Research output per year 2023 2024 2025 2025

• 14 RGC 32 - Refereed conference paper (with host publication)
• 4 RGC 21 - Publication in refereed journal

Research output per year

Research output per year

Search results

• 2025

  A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective

  Zhang, X., Xu, B., Li, C., He, B., Lin, H., Ma, C. & Ma, F., 13 May 2025, (Online published) In: IEEE Transactions on Knowledge and Data Engineering.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Side Information 100%
  • Limitations 14%
  • Performance Improvement 14%
  • Comprehensive Review 14%
  • Data Characteristic 14%
  3 Citations (Scopus)

• Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation

  Que, Y., Zhang, Y., Zhao, X. & Ma, C., 10 Nov 2025, CIKM ’25: Proceedings of the 34th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2471-2481 11 p.

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  Open Access

  • Popularity Bias 100%
  • Recommender Systems 33%
  • Backdoors 33%

• Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks

  He, B., Yin, L., Zhen, H.-L., Zhang, J., Hong, L., Yuan, M. & Ma, C., Jan 2025, 13th International Conference on Learning Representations (ICLR 2025). Yue, Y., Garg, A., Peng, N., Sha, F. & Yu, R. (eds.). International Conference on Learning Representations, ICLR

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  Open Access

  • Language Modeling 100%
  • Backdoor Attack 100%
  • Training Data 66%
  • High Reliability 33%
  • Tree Search 33%

• Comprehending Knowledge Graphs with Large Language Models for Recommender Systems

  CUI, Z., Weng, Y., Tang, X., LYU, F., Liu, D., He, X. & MA, C., 13 Jul 2025, Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’25). Association for Computing Machinery, p. 1229-1239 11 p.

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Recommender Systems 100%
  • Large Language Model 100%
  • Knowledge Graph 100%
  • Local Information 22%
  • Global Information 22%

• Decision Information Meets Large Language Models: The Future of Explainable Operations Research

  Zhang, Y., Kang, Q., Yu, W. Y., Gong, H., Fu, X., Han, X., Zhong, T. & Ma, C., Jun 2025, 13th International Conference on Learning Representations (ICLR 2025). Yue, Y., Garg, A., Peng, N., Sha, F. & Yu, R. (eds.). International Conference on Learning Representations, ICLR, p. 65698-65722 (International Conference on Learning Representations).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  Open Access

  • System Analysis 100%
  • Decision Information 100%
  • Large Language Model 100%
  • Operations Research 100%
  • Decision Making 100%

• DOGR: Towards Versatile Visual Document Grounding and Referring

  Zhou, Y. (Co-first Author), Chen, Y. (Co-first Author), Lin, H., Wu, Y., Yang, S., Qi, Z., Ma, C. & Zhu, L., 19 Oct 2025, (Online published) Proceedings of the 2025 IEEE/CVF International Conference on Computer Vision (ICCV). p. 3596-3606

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Multimodal Large Language Models 100%
  • Visual Document 100%
  • Document Type 100%
  • Textual Information 50%
  • User Interaction 50%

• Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs

  Sun, S. (Co-first Author), Ren, Y. (Co-first Author), Chen, J. & Ma, C., May 2025, (Online published) The 30th International Conference on Database Systems for Advanced Applications. Research Track.

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Topological Structure 100%
  • Large Language Model 100%
  • Graph Neural Network 22%
  • Regularization 11%
  • Neural Network Training 11%

• PHE: Structure and Semantic Enhanced Pre-Training of Graph Neural Networks for Large-Scale Heterogeneous Graphs

  SUN, S., MA, C. & CHEN, J., Nov 2025, In: ACM Transactions on Knowledge Discovery from Data. 20, 1, 3.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Graph Neural Network 100%
  • Heterogeneous Graph 100%
  • Structural Property 16%
  • Data Mining 16%
  • Limited Labeled Data 16%

• Relation-Guided Cascading Generation for Low-Shot Relational Triplet Extraction

  Yang, C., He, B., Chen, Y., He, L. & Ma, C., 2025, In: IEEE Transactions on Audio, Speech and Language Processing. 33, p. 2887-2901

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Zero-Shot Learning 100%
  • Experimental Result 25%
  • Data Mining 25%
  • Text Mining 25%
  • Full Advantage 25%

• Scale Up Composed Image Retrieval Learning via Modification Text Generation

  Zhou, Y., Wang, Y., Lin, H., Ma, C., Zhu, L. & Zheng, Z., 2025, In: IEEE Transactions on Multimedia. 27, p. 7510-7521

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Image Retrieval 100%
  • Reference Image 50%
  • Annotation 25%
  • Training Data 25%
  • Data Mining 25%

• Shapley Value-driven Data Pruning for Recommender Systems

  Zhang, Y., Zhang, X., Cui, Z. & Ma, C., 3 Aug 2025, KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Vol. 2. p. 3879-3888

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  Open Access

  • de-noising 100%
  • Recommender Systems 100%
  • Estimation Method 25%
  • Popularity Bias 25%
  2 Citations (Scopus)
• 2024

  Collaborative Performance Prediction for Large Language Models

  Zhang, Q., Lyu, F., Liu, X. & Ma, C., Nov 2024, The 2024 Conference on Empirical Methods in Natural Language Processing - Proceedings of the Conference, EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Kerrville, TX: Association for Computational Linguistics, p. 2576-2596

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  Open Access

  File

  • Large Language Model 100%
  • Prediction Accuracy 33%
  • Online Platform 33%
  • Computational Linguistics 33%
  1 Citation (Scopus)

  61 Downloads (CityUHK Scholars)

• Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning

  Cui, Z., Wu, H., He, B., Cheng, J. & Ma, C., Oct 2024, CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 404-414 (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Contrastive Learning 100%
  • Diffusion Model 50%
  • Context Information 50%
  • Representation Space 50%
  • User Preference 25%
  9 Citations (Scopus)

• Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-aware Recommendation

  Sun, S. & Ma, C., 2024, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024 - Proceedings. Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E. & Žliobaitė, I. (eds.). Springer, Cham, Vol. Part I. p. 199–217 19 p. (Lecture Notes in Computer Science; vol. 14941).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Contrastive Learning 100%
  • Graph Neural Network 28%
  • User Preference 14%
  • Bipartite Graph 14%
  • Preference Learning 14%
  3 Citations (Scopus)

• Interpretable Triplet Importance for Personalized Ranking

  He, B. & Ma, C., Oct 2024, CIKM '24 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. New York, NY: Association for Computing Machinery, p. 809-818 (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Monte Carlo 100%
  • Shapley Value 100%
  • Approximation (Algorithm) 100%
  • Matrix (Mathematics) 50%
  • Neural Network 50%
  1 Citation (Scopus)

• Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing

  Wang, W., Li, Z., Lian, D., Ma, C., Song, L. & Wei, Y., Nov 2024, EMNLP 2024 - The 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Kerrville, TX: Association for Computational Linguistics, p. 15681-15700 20 p. (EMNLP - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Machine Translation 100%
  • Large Language Model 100%
  • translation quality 75%
  • Feedforward Network 25%
  • Computational Linguistics 25%
  1 Citation (Scopus)

• Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing

  He, B., Weng, Y., Tang, X., Cui, Z., Sun, Z., Chen, L., He, X. & Ma, C., Aug 2024, KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Barcelona, Spain: Association for Computing Machinery, p. 5093-5104

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Lognormal 100%
  • Modeling Error 100%
  • Error Bound 100%
  • Real World Application 100%
  • Additional Loss 100%
  6 Citations (Scopus)
• 2023

  Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System

  He, B., He, X., Zhang, R., Zhang, Y., Tang, R. & Ma, C., 2023, CIKM '23 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. New York, NY: Association for Computing Machinery, p. 741-750 (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Recommender Systems 100%
  • High Throughput 25%
  • Throughput Data 25%
  • Dimensional Vector 25%
  • Time Efficiency 25%
  11 Citations (Scopus)