Wenlong Zhang

18 papers · 2019–2026 · 10 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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🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🏆 Grand Slam 🌈 Renaissance Researcher (6) ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (81)

Venues

NeurIPS (3) AAAI (2) ACL (2) ICCV (2) ICLR (2) ICML (2) L4DC (2) CVPR (1) ECCV (1) EMNLP (1)

Top co-authors

Xiao-ming Wu (6) LEI BAI (5) Yu Qiao (4) Chao Dong (4) Guangyuan SHI (3) Yihao Liu (3) Fenghua Ling (3) Ben Fei (2) Zheng-Jun Zha (2) Wanghan Xu (2)

Research topics

Artificial Intelligence (8) Deep Learning (7) Machine Learning (7) Core AI (7) Models (5) Optimization & Theory (5) Computer Vision (3) Architectures (3) Reinforcement Learning (2) Robotics (2) Application Areas (2) Capabilities (2) Learning Types (2) Processing (2) Interdisciplinary (1)

Keywords

image super-resolution (3) multi-agent system (2) diffusion model (2) weather forecasting (2) multi-task learning (2) neural network (2) degradation model (2) differential game (2) few-shot learning (1) curriculum learning (1) continual learning (1) knowledge transfer (1) model architecture (1) incremental learning (1) parameter estimation (1) image restoration (1) benchmark evaluation (1) reinforcement learning from human feedback (1) evaluation framework (1) probabilistic modeling (1)

Papers

Deep Research Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks AAAI 2026 FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution CVPR 2026 FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow ACL 2026 MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs ACL 2026 SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer AAAI 2026 Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion ICCV 2025 PACE: A Framework for Learning and Control in Linear Incomplete-Information Differential Games L4DC 2025 Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator ICML 2025 Risk-Sensitive Theory of Mind: Coordinating with Agents of Unknown Bias using Cumulative Prospect Theory ICML 2025 Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NeurIPS 2024 GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity ECCV 2024 Pontryagin neural operator for solving general-sum differential games with parametric state constraints L4DC 2024 SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution ICLR 2024 UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation EMNLP 2024 Real-World Image Super-Resolution as Multi-Task Learning NeurIPS 2023 Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning ICLR 2023 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NeurIPS 2021 RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution ICCV 2019