Zhe Jiang
19 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
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Conferences
AAAI (11)
CVPR (2)
ECCV (2)
ICLR (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
physics-guided learning
(3)
semantic segmentation
(2)
representation learning
(1)
transfer learning
(1)
domain adaptation
(1)
adversarial learning
(1)
motion deblurring
(1)
attention mechanism
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
information retrieval
(1)
adversarial training
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spatio-temporal modeling
(1)
machine learning fairness
(1)
remote sensing
(1)
distribution matching
(1)
model pruning
(1)
knowledge graph
(1)
image restoration
(1)
Papers
FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification
AAAI 2026
D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness
AAAI 2026
ChipMind: Retrieval-Augmented Reasoning for Long-Context Circuit Design Specifications
AAAI 2026
OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
ICLR 2025
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
AAAI 2025
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
AAAI 2025
CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
ICML 2025
Pushing the Limits of BFP on Narrow Precision LLM Inference
AAAI 2025
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
AAAI 2024
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
AAAI 2024
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery
IJCAI 2024
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
NIPS 2023
Fairness by βWhereβ: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework
AAAI 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
AAAI 2022
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint
AAAI 2020
Learning Event-Driven Video Deblurring and Interpolation
ECCV 2020
Learning Event-Based Motion Deblurring
CVPR 2020
Learning to See in the Dark with Events
ECCV 2020
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching
CVPR 2019