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Chen Ma

City University of Hong Kong, Department of Computer Science, Hong Kong

36 papers at tracked venues · 23 at CORE A* · active 2024–2026

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Venues

ACL ×6ICLR ×4AAAI ×3CIKM ×3EMNLP ×3SIGKDD ×3ECML-PKDD ×2NeurIPS ×2SDM ×2WSDM ×2WWW ×2ICCV ×1ICML ×1NAACL ×1SIGIR ×1

Frequent coauthors

Bowei He
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Qiyuan Zhang
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Ziqiang Cui
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Yansen Zhang
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Haoran Tan
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Xiaokun Zhang
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Weichuan Wang
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Shengyin Sun
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Zexu Sun
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Kanglong Fan
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Junyi Zhou
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Renqi Jia
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Papers

  1. Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models
    ACL 2026 ·
    Qiyuan Zhang
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  2. Enhancing Interpretability for Vision Models via Shapley Value Optimization
    AAAI 2026 ·
    Kanglong Fan
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  3. From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
    ACL 2026 ·
    Haoran Tan
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  4. From Token to Item: Enhancing Large Language Models for Recommendation via Item-aware Attention Mechanism
    WWW 2026 ·
    Xiaokun Zhang
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  5. Have We Really Understood Collaborative Information? An Empirical Investigation
    WSDM 2026 ·
    Xiaokun Zhang
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  6. On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation
    ACL 2026 ·
    Weichuan Wang
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  7. RubricBench: Aligning Model-Generated Rubrics with Human Standards
    ACL 2026 ·
    Junyi Zhou
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  8. S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
    AAAI 2026 ·
    Bowei He
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  9. Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
    SDM 2025 ·
    Renqi Jia
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  10. Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
    CIKM 2025 ·
    Yue Que
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  11. Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
    ICLR 2025 ·
    Bowei He
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  12. Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
    SIGIR 2025 ·
    Ziqiang Cui
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  13. Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
    ECML-PKDD 2025 ·
    Yansen Zhang
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  14. Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
    ACL 2025 ·
    Qiyuan Zhang
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  15. DOGR: Towards Versatile Visual Document Grounding and Referring
    ICCV 2025 ·
    Yinan Zhou
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  16. Decision Information Meets Large Language Models: The Future of Explainable Operations Research
    ICLR 2025 ·
    Yansen Zhang
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  17. Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
    WSDM 2025 ·
    Kexin Zhang
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  18. GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
    AAAI 2025 ·
    Shengyin Sun
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  19. Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency
    ICML 2025 ·
    Zexu Sun
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  20. MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
    ACL 2025 ·
    Haoran Tan
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  21. NILE: Internal Consistency Alignment in Large Language Models
    EMNLP 2025 ·
    Minda Hu
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  22. Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
    NeurIPS 2025 ·
    Bowei He
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  23. RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
    ICLR 2025 ·
    Qiyuan Zhang
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  24. Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing
    SIGKDD 2025 ·
    Zexu Sun
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  25. Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
    NeurIPS 2025 ·
    Ziqiang Cui
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  26. Shapley Value-driven Data Pruning for Recommender Systems
    SIGKDD 2025 ·
    Yansen Zhang
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  27. TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
    NAACL 2025 ·
    Zeyu Zhang
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  28. Causally Debiased Time-aware Recommendation
    WWW 2024 ·
    Lei Wang
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  29. Collaborative Performance Prediction for Large Language Models
    EMNLP 2024 ·
    Qiyuan Zhang
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  30. Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning
    CIKM 2024 ·
    Ziqiang Cui
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  31. Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-Aware Recommendation
    ECML-PKDD 2024 ·
    Shengyin Sun
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  32. Interpretable Triplet Importance for Personalized Ranking
    CIKM 2024 ·
    Bowei He
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  33. Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
    ICLR 2024 ·
    Chengming Hu
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  34. Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
    EMNLP 2024 ·
    Weichuan Wang
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  35. Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing
    SIGKDD 2024 ·
    Bowei He
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  36. Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
    SDM 2024 ·
    Ziqiang Cui
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