Haiming Jin

5 papers · 2023–2026 · 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

Venues

AAAI (2) CVPR (1) IJCAI (1) NeurIPS (1)

Top co-authors

Zhaoxing Yang (3) Chenghu Zhou (2) Haoyi You (2) Rong Ding (2) Xinbing Wang (2) Guiyun Fan (2) Zhanyu Liu (1) Tao LIN (1) Yichen Zhu (1) Beichen Yu (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Deep Learning (3) Core AI (3) Learning Types · Machine Learning (3) Reinforcement Learning (2) Methods (2) Models (2) Application Areas (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

model quantization (1) multi-agent reinforcement learning (1) policy optimization (1) image captioning (1) robust reinforcement learning (1) constrained optimization (1) time series forecasting (1) constraint satisfaction (1) worst-case performance (1) distribution shift (1) state space model (1) synthetic data (1) vision-language model (1) cooperative learning (1) incomplete data (1) on-device inference (1) dataset condensation (1) missing value (1) user preference (1) invariant predictor (1)

Papers

mVLM: A Vision Language Model for mNPUs CVPR 2026 CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting NeurIPS 2024 DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Prediction with Incomplete Data under Agnostic Mask Distribution Shift IJCAI 2023 User-Oriented Robust Reinforcement Learning AAAI 2023