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Jiazhi Li

Identifiers

  • name variant Jiazhi Li 0.60 · backfill

Papers (17)

  1. OccludeNeRF: Geometric-aware 3D Scene Inpainting with Collaborative Score Distillation in NeRF eess.IV · 2025 · author #3
  2. A Critical Review of Predominant Bias in Neural Networks cs.LG · 2025 · author #1
  3. The nonfactorizable QED correction to the $\overline{B}_{s}$ ${\to}$ $D_{s}^{(\ast)} {\ell} \bar{\nu}_{\ell}$ decays hep-ph · 2025 · author #2
  4. Fragmented Layer Grouping in GUI Designs Through Graph Learning Based on Multimodal Information cs.SE · 2024 · author #3
  5. The QED nonfactorizable correction to the semileptonic charmed three-body $B$ decays hep-ph · 2024 · author #3
  6. Look, Learn and Leverage (L$^3$): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment cs.CV · 2024 · author #4
  7. An Investigation on The Position Encoding in Vision-Based Dynamics Prediction cs.CV · 2024 · author #3
  8. DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations cs.LG · 2024 · author #3
  9. Prototype2Code: End-to-end Front-end Code Generation from UI Design Prototypes cs.SE · 2024 · author #3
  10. Finite Horizon Multi-Agent Reinforcement Learning in Solving Optimal Control of State-Dependent Switched Systems eess.SY · 2023 · author #2
  11. SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering cs.LG · 2023 · author #1
  12. Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks cs.LG · 2023 · author #1
  13. Shadow Datasets, New challenging datasets for Causal Representation Learning cs.LG · 2023 · author #4
  14. A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment cs.CV · 2023 · author #4
  15. CAT: Controllable Attribute Translation for Fair Facial Attribute Classification cs.CV · 2022 · author #1
  16. ULDGNN: A Fragmented UI Layer Detector Based on Graph Neural Networks cs.CV · 2022 · author #1
  17. Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition cs.CV · 2021 · author #1

Mentions

  • 2502.09883 #2 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2504.02007 #3 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2502.11031 #1 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2410.06087 #3 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2412.05555 #3 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2312.04767 #2 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2408.17363 #4 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2408.15201 #3 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2407.20553 #3 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2405.04975 #3 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2311.07141 #1 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2310.04955 #1 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2308.05707 #4 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2305.07648 #4 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2209.06850 #1 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2208.06658 #1 · arxiv_oai · confidence 0.70 Jiazhi Li
  • 2111.04673 #1 · arxiv_oai · confidence 0.70 Jiazhi Li

Frequent Coauthors