Zhe Jiang
19 papers · 2019–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
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Deep Learning
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Artificial Intelligence
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Application Areas
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Learning Types Β· Deep Learning
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Computer Vision
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Optimization & Theory Β· Deep Learning
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Optimization & Theory Β· Machine Learning
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Natural Language Processing
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Keywords
large language model
(3)
physics-guided learning
(3)
model compression
(2)
semantic segmentation
(2)
adversarial learning
(1)
vision transformer
(1)
post-training quantization
(1)
machine learning fairness
(1)
image restoration
(1)
motion deblurring
(1)
uncertainty quantification
(1)
attention mechanism
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
spatio-temporal modeling
(1)
domain adaptation
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adversarial training
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remote sensing
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information retrieval
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transfer learning
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Papers
ChipMind: Retrieval-Augmented Reasoning for Long-Context Circuit Design Specifications
AAAI 2026
D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness
AAAI 2026
FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification
AAAI 2026
CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
ICML 2025
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
Pushing the Limits of BFP on Narrow Precision LLM Inference
AAAI 2025
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
AAAI 2025
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery
IJCAI 2024
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
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
NeurIPS 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
Learning Event-Based Motion Deblurring
CVPR 2020
Learning Event-Driven Video Deblurring and Interpolation
ECCV 2020
Learning to See in the Dark with Events
ECCV 2020
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint
AAAI 2020
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching
CVPR 2019