Haowei He

5 papers · 2019–2025 · 4 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

❓ The Questioner

Venues

NeurIPS (2) AISTATS (1) ICML (1) SemEval (1)

Top co-authors

Yang Yuan (3) Jiaye Teng (2) Yongxiang Li (1) Yequan Wang (1) Zhiquan Tan (1) Zhongjiang He (1) Yifan Zhang (1) Weiran Huang (1) Yan Tian (1) Changzai Pan (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (4) Artificial Intelligence (2) Core AI (2) Core Methods (2) Deep Learning (1) Natural Language Processing (1) Applications (1) Learning Types (1) Optimization & Theory · Deep Learning (1) Resources & Methods (1)

Keywords

stochastic gradient descent (2) transfer learning (1) self-supervised learning (1) sample complexity (1) feature attribution (1) theoretical analysis (1) generalization error (1) signal-to-noise ratio (1) conditional independence (1) deep neural network (1) downstream task (1) weight averaging (1) table question answering (1) complexity measure (1) generalization performance (1) pretext task (1) local minima (1) removal-based explanation (1) local minimum (1) explanation method (1)

Papers

TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language Models SemEval 2025 Finding Generalization Measures by Contrasting Signal and Noise ICML 2023 Trade-off Between Efficiency and Consistency for Removal-based Explanations NeurIPS 2023 Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis AISTATS 2022 Asymmetric Valleys: Beyond Sharp and Flat Local Minima NeurIPS 2019