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Hao Zou

20 papers · 2020–2026 · 9 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.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (36) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (4) πŸ† Grand Slam 🀝 Dynamic Duo (10) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (95)

Venues

AAAI (4) CVPR (3) ICML (3) ECCV (2) EMNLP (2) ICCV (2) ICLR (2) CLeaR (1) NeurIPS (1)

Top co-authors

Peng Cui (10) Renzhe Xu (6) Xingxuan Zhang (5) Yue He (5) Han Yu (5) Haotian Wang (4) Bo Li (4) Wenjing Yang (3) Jiashuo Liu (3) Shanzhi Gu (2)

Research topics

Machine Learning (14) Artificial Intelligence (12) Core AI (12) Application Areas (6) Deep Learning (5) Learning Types Β· Machine Learning (5) Computer Vision (4) Natural Language Processing (4) Analysis (4) Core Methods (4) Optimization & Theory (4) Applications (3) Architectures (2) Learning Types Β· Deep Learning (2) Resources & Methods (2)

Keywords

causal inference (5) counterfactual prediction (4) question answering (2) data augmentation (2) confounding bia (2) distribution shift (2) generalization (2) multimodal large language model (2) object detection (1) information retrieval (1) text classification (1) 3d vision (1) transformer (1) visual grounding (1) variational inference (1) in-context learning (1) natural language processing (1) reproducing kernel hilbert space (1) kernel regression (1) out-of-distribution generalization (1)

Papers

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 Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents AAAI 2026 Tackling Alignment Ambiguity in Person Retrieval through Conversational Attribute Mining CVPR 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 Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models ICLR 2025 FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models EMNLP 2025 Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study ICLR 2025 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 You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions EMNLP 2024 Factual Observation Based Heterogeneity Learning for Counterfactual Prediction CLeaR 2023 Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization CVPR 2023 Counterfactual Prediction for Outcome-Oriented Treatments ICML 2022 Learning to Train a Point Cloud Reconstruction Network without Matching ECCV 2022 RFNet: Recurrent Forward Network for Dense Point Cloud Completion ICCV 2021 Counterfactual Prediction for Bundle Treatment NeurIPS 2020