Jianxin Zhang

6 papers · 2020–2026 · 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 (16)

Venues

NeurIPS (3) AAAI (1) ACL (1) ICLR (1)

Top co-authors

Clayton Scott (2) Juntao Li (1) Emily Pitler (1) Josh Viktorov (1) Doosan Jung (1) Min Zhang (1) Bo Lu (1) Aditya Gangrade (1) Yu Liu (1) Yutong Wang (1)

Research topics

Machine Learning (5) Deep Learning (4) Learning Types · Machine Learning (4) Learning Types · Deep Learning (3) Optimization & Theory (3) Core Methods (2) Models (2) Artificial Intelligence (1) Computer Vision (1) Natural Language Processing (1) Core AI (1) Processing (1) Resources & Methods (1)

Keywords

weakly supervised learning (2) learning from label proportion (2) label noise (2) style transfer (1) self-supervised learning (1) handwriting recognition (1) empirical risk minimization (1) probability distribution (1) generalization error (1) multi-class classification (1) stochastic process (1) motion generation (1) generalization error bound (1) generative model (1) generalization bound (1) diffusion model (1) inference efficiency (1) reasoning ability (1) neural stochastic differential equation (1) adaptive decoding (1)

Papers

Gracefully Air-Written: Enhancing the Legibility and Style Consistency of In-Air Handwriting AAAI 2026 ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025 Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions ICLR 2025 Label Noise: Ignorance Is Bliss NeurIPS 2024 Learning from Label Proportions by Learning with Label Noise NeurIPS 2022 Learning from Label Proportions: A Mutual Contamination Framework NeurIPS 2020