Shang Wu
7 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🏃 Academic Marathon (5)
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Academic Marathon
(5)
🐝
Cross-Pollinator
(10)
🌈
Renaissance Researcher
(6)
❓
The Questioner
🔥
Unstoppable
(6)
📈
Trend Setter
Conferences
ACL (2)
CVPR (1)
ICLR (1)
ICML (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
adversarial robustness
(2)
stochastic gradient descent
(1)
non-convex optimization
(1)
feature learning
(1)
asymptotic analysis
(1)
few-shot learning
(1)
vision transformer
(1)
data augmentation
(1)
adversarial training
(1)
responsible ai
(1)
lottery ticket hypothesis
(1)
gradient descent
(1)
monte carlo tree search
(1)
adversarial attack
(1)
benchmark dataset
(1)
adversarial perturbation
(1)
foundation model
(1)
stochastic differential equation
(1)
neural radiance field
(1)
stochastic optimization
(1)
Papers
ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents
ACL 2025
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
ACL 2024
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
CVPR 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
ICML 2023
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
ICLR 2022
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
NIPS 2021
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms
JMLR 2020