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Jiliang Tang

Identifiers

  • name variant Jiliang Tang 0.60 · backfill

Papers (38)

  1. Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline cs.AI · 2026 · author #9
  2. "**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems cs.CR · 2026 · author #9
  3. A Simple Plug-in for Improving Eviction-Based KV Cache Compression cs.LG · 2026 · author #5
  4. Why Retrieval-Augmented Generation Fails: A Graph Perspective cs.CL · 2026 · author #8
  5. An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation cs.IR · 2026 · author #12
  6. When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression cs.AI · 2026 · author #6
  7. Plain Transformers are Surprisingly Powerful Link Predictors cs.LG · 2026 · author #7
  8. Retrieval Heads are Dynamic cs.CL · 2026 · author #9
  9. To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems cs.CR · 2025 · author #11
  10. Retrieval-Augmented Generation with Graphs (GraphRAG) cs.IR · 2024 · author #18
  11. TrustLLM: Trustworthiness in Large Language Models cs.CL · 2024 · author #38
  12. Recommender Systems with Heterogeneous Side Information cs.IR · 2019 · author #3
  13. Deep Social Collaborative Filtering cs.IR · 2019 · author #5
  14. R-Transformer: Recurrent Neural Network Enhanced Transformer cs.LG · 2019 · author #4
  15. Deep Adversarial Social Recommendation cs.IR · 2019 · author #5
  16. Graph Convolutional Networks with EigenPooling cs.LG · 2019 · author #4
  17. Deep Adversarial Network Alignment cs.SI · 2019 · author #5
  18. Learning Hierarchical Discourse-level Structure for Fake News Detection cs.CL · 2019 · author #2
  19. Streaming Graph Neural Networks cs.LG · 2018 · author #5
  20. Linked Recurrent Neural Networks cs.CL · 2018 · author #4
  21. Multi-dimensional Graph Convolutional Networks cs.SI · 2018 · author #5
  22. Deep Reinforcement Learning for Page-wise Recommendations cs.IR · 2018 · author #6
  23. Crime in Urban Areas: A Data Mining Perspective cs.CY · 2018 · author #2
  24. Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning cs.IR · 2018 · author #5
  25. Deep Reinforcement Learning for List-wise Recommendations cs.LG · 2017 · author #6
  26. Signed Network Modeling Based on Structural Balance Theory cs.SI · 2017 · author #3
  27. Fake News Detection on Social Media: A Data Mining Perspective cs.SI · 2017 · author #4
  28. Attributed Network Embedding for Learning in a Dynamic Environment cs.SI · 2017 · author #4
  29. Understanding and Predicting Delay in Reciprocal Relations cs.SI · 2017 · author #2
  30. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data stat.ML · 2016 · author #2
  31. Hierarchical Attention Network for Action Recognition in Videos cs.CV · 2016 · author #3
  32. Streaming Recommender Systems cs.SI · 2016 · author #3
  33. Signed Link Analysis in Social Media Networks cs.SI · 2016 · author #2
  34. Feature Selection: A Data Perspective cs.LG · 2016 · author #6
  35. Predicting Online Protest Participation of Social Media Users cs.SI · 2015 · author #4
  36. A Survey of Signed Network Mining in Social Media cs.SI · 2015 · author #1
  37. Leveraging Social Foci for Information Seeking in Social Media cs.SI · 2015 · author #2
  38. Negative Link Prediction in Social Media cs.SI · 2014 · author #1

Mentions

  • 1511.07569 #1 · backfill · confidence 0.70 Jiliang Tang
  • 2606.04315 #9 · arxiv_oai · confidence 0.70 Jiliang Tang
  • 2606.03090 #9 · arxiv_oai · confidence 0.70 Jiliang Tang
  • 1502.06583 #2 · backfill · confidence 0.70 Jiliang Tang
  • 1412.2723 #1 · backfill · confidence 0.70 Jiliang Tang
  • 2602.01553 #7 · arxiv_oai · confidence 0.70 Jiliang Tang
  • 2605.23258 #5 · arxiv_oai · confidence 0.70 Jiliang Tang
  • 2401.05561 #38 · arxiv_oai · confidence 0.70 Jiliang Tang
  • 2501.00309 #18 · arxiv_oai · confidence 0.70 Jiliang Tang

Frequent Coauthors