Gang Wu
21 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (5)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(5)
🧬
Topic Evolution
👥
Mega-Team
(30)
🗃️
Keyword Collector
(90)
💎
Century Club
(17)
🔥
Unstoppable
(6)
⚡
Prolific Year
(6)
Conferences
AAAI (5)
ICML (4)
ICCV (3)
ACL (2)
ECCV (2)
EMNLP (2)
AUTOML (1)
EACL (1)
ICLR (1)
Top co-authors
Keywords
image restoration
(2)
graph neural network
(2)
reinforcement learning
(2)
contrastive learning
(2)
knowledge distillation
(2)
large language model
(2)
multi-task learning
(1)
video generation
(1)
vision transformer
(1)
domain adaptation
(1)
stochastic gradient descent
(1)
self-supervised learning
(1)
nonconvex optimization
(1)
in-context learning
(1)
response generation
(1)
dialogue generation
(1)
convergence analysis
(1)
sample complexity
(1)
communication complexity
(1)
temporal modeling
(1)
Papers
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
EACL 2026
CamoQuery: Language-Guided Reasoning Camouflaged Object Segmentation
ACL 2026
GLoMOT: Efficient Online GNN-based Low-Frame-Rate Multi-Object Tracker
AAAI 2026
ESCA: An Emotional Support Conversation Agent for Enhancing Reasonable Strategy Planning and Effective Expression
AAAI 2026
GUI Agents: A Survey
ACL 2025
SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation
ICCV 2025
GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration
EMNLP 2025
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
AAAI 2025
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
AUTOML 2024
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
AAAI 2024
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
ECCV 2024
Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training
ECCV 2024
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
ICLR 2024
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
ICML 2024
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching
ICCV 2023
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
ICML 2023
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems
AAAI 2022
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
ICML 2022
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems
EMNLP 2022
HighlightMe: Detecting Highlights From Human-Centric Videos
ICCV 2021
Structured Policy Iteration for Linear Quadratic Regulator
ICML 2020