Zhenyu Wu
22 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(11)
🧬
Topic Evolution
🏆
Grand Slam
🏆
Keyword Champion
(3)
🗃️
Keyword Collector
(80)
🚀
Conference Pioneer
💎
Century Club
(20)
📈
Trend Setter
⚡
Prolific Year
(8)
Conferences
ACL (5)
AAAI (4)
CORL (2)
CVPR (2)
ICCV (2)
ICLR (2)
ECCV (1)
EMNLP (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(6)
reasoning path
(3)
prompt engineering
(3)
few-shot learning
(3)
trajectory generation
(2)
math word problem
(2)
adversarial learning
(2)
vision-language model
(2)
action recognition
(1)
object detection
(1)
motion planning
(1)
mathematical reasoning
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
k-means clustering
(1)
language model evaluation
(1)
scene understanding
(1)
semantic parsing
(1)
ensemble learning
(1)
question answering
(1)
Papers
OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agents
ACL 2026
Any2Critical: Safety-Critical Scenario Generation from Arbitrary Real-World Driving Contexts
AAAI 2026
SafeBimanual: Diffusion-based trajectory optimization for safe bimanual manipulation
CORL 2025
MoManipVLA: Transferring Vision-language-action Models for General Mobile Manipulation
CVPR 2025
MoTo: A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation
CORL 2025
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis
ACL 2025
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
ACL 2025
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
ACL 2025
Implicit Search via Discrete Diffusion: A Study on Chess
ICLR 2025
OS-ATLAS: Foundation Action Model for Generalist GUI Agents
ICLR 2025
TransLoc4D: Transformer-based 4D Radar Place Recognition
CVPR 2024
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
NIPS 2024
Large Language Models Can Self-Correct with Key Condition Verification
EMNLP 2024
Get an A in Math: Progressive Rectification Prompting
AAAI 2024
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
NAACL 2024
OpenICL: An Open-Source Framework for In-context Learning
ACL 2023
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
AAAI 2023
SOAR: Scene-debiasing Open-set Action Recognition
ICCV 2023
Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection
AAAI 2023
Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
ICCV 2019
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
ECCV 2018
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
ICML 2018