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Jie Jiang

Tencent Data Platform, Shenzhen, China

28 papers at tracked venues · 24 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring
  2. Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning
  3. Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
  4. SSR-A: Spatial- and Semantic-Aware Instructions and Curriculum Reinforcement for Advertisement Compliant Rectification
  5. TDSQL-Boundless: A Distributed Database System for Large-scale Heterogeneous Multi-Table Workloads
  6. Computational Advertising: Recent Advances
  7. Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
  8. From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
  9. Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment
  10. Incremental Learning for LLM-based Tokenization and Recommendation
  11. Long-Sequence Recommendation Models Need Decoupled Embeddings
  12. MaterialMVP: Illumination-Invariant Material Generation via Multi-View PBR Diffusion
  13. Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
  14. RomanTex: Decoupling 3D-Aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesis
  15. Scaling Laws for Floating-Point Quantization Training
  16. Scaling Mesh Generation via Compressive Tokenization
  17. SiriusBI: A Comprehensive LLM-powered Solution for Data Analytics in Business Intelligence
    VLDB 2025 · Jie Jiang
  18. Unleashing Vecset Diffusion Model for Fast Shape Generation
  19. Ads Recommendation in a Collapsed and Entangled World
  20. Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
  21. Deep Pattern Network for Click-Through Rate Prediction
  22. MRFS: Mutually Reinforcing Image Fusion and Segmentation
  23. Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation
  24. On the Embedding Collapse when Scaling up Recommendation Models
  25. Pareto-based Multi-Objective Recommender System with Forgetting Curve
  26. STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
  27. Temporal Interest Network for User Response Prediction
  28. Understanding the Ranking Loss for Recommendation with Sparse User Feedback