Hao Zou
19 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
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Conferences
AAAI (4)
ICML (3)
CVPR (2)
ECCV (2)
EMNLP (2)
ICCV (2)
ICLR (2)
CLEAR (1)
NIPS (1)
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Keywords
causal inference
(4)
counterfactual prediction
(3)
question answering
(2)
data augmentation
(2)
text classification
(1)
object detection
(1)
variational inference
(1)
observational study
(1)
natural language processing
(1)
information retrieval
(1)
3d vision
(1)
visual grounding
(1)
question generation
(1)
sharpness-aware minimization
(1)
kernel regression
(1)
reproducing kernel hilbert space
(1)
out-of-distribution generalization
(1)
distribution shift
(1)
dataset creation
(1)
transfer learning
(1)
Papers
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
AAAI 2026
Detecting Unobserved Confounders: A Kernelized Regression Approach
AAAI 2026
Error Slice Discovery via Manifold Compactness
AAAI 2026
Generating Risky Samples with Conformity Constraints via Diffusion Models
AAAI 2026
AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference
ICCV 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
CVPR 2025
FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models
EMNLP 2025
Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
ICLR 2025
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
ICLR 2025
You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions
EMNLP 2024
Domain-wise Data Acquisition to Improve Performance under Distribution Shift
ICML 2024
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
ICML 2024
IVTP: Instruction-guided Visual Token Pruning for Large Vision-Language Models
ECCV 2024
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
CVPR 2023
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction
CLEAR 2023
Learning to Train a Point Cloud Reconstruction Network without Matching
ECCV 2022
Counterfactual Prediction for Outcome-Oriented Treatments
ICML 2022
RFNet: Recurrent Forward Network for Dense Point Cloud Completion
ICCV 2021
Counterfactual Prediction for Bundle Treatment
NIPS 2020