Jianyu Wang
32 papers · 2015–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
πΊοΈ
Taxonomy Completionist
(49)
π
Interdisciplinary Bridge
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Hot Topic Early Bird
π§¬
Topic Evolution
π₯
Mega-Team
(29)
π
Grand Slam
π₯
Unstoppable
(9)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(30)
β
The Questioner
ποΈ
Keyword Collector
(113)
Conferences
CVPR (8)
ICLR (4)
ACL (3)
ICCV (3)
ICML (3)
AISTATS (2)
EMNLP (2)
NIPS (2)
AAAI (1)
ECCV (1)
IJCNLP (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
federated learning
(5)
adversarial training
(3)
few-shot learning
(3)
adversarial attack
(3)
large language model
(3)
adversarial robustness
(3)
attention map
(2)
data heterogeneity
(2)
southeast asian language
(2)
compositional generalization
(2)
instruction tuning
(2)
black-box attack
(2)
instruction learning
(2)
adversarial example
(2)
machine translation
(2)
model robustness
(2)
convergence analysis
(2)
multilingual nlp
(2)
distributed learning
(2)
low-resource language
(2)
Papers
Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification
AAAI 2026
Detecting AI-Generated Content on Social Media with Multi-modal Language Models
ACL 2026
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
NAACL 2025
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
ICML 2025
Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture
CVPR 2025
Instruction-Following Pruning for Large Language Models
ICML 2025
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
ICLR 2024
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
ACL 2024
SeaLLMs - Large Language Models for Southeast Asia
ACL 2024
PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment
CVPR 2024
"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
ECCV 2024
Non-Line-of-Sight Imaging With Signal Superresolution Network
CVPR 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
ICML 2023
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
ICLR 2023
Federated Learning under Distributed Concept Drift
AISTATS 2023
Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization
CVPR 2023
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
EMNLP 2022
Towards Understanding Biased Client Selection in Federated Learning
AISTATS 2022
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms
JMLR 2021
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
NIPS 2020
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
ICLR 2020
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction
CVPR 2020
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
ICCV 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
NIPS 2019
Compositional Generalization for Primitive Substitutions
EMNLP 2019
Towards Adversarially Robust Object Detection
ICCV 2019
Improving Transferability of Adversarial Examples With Input Diversity
CVPR 2019
Compositional Generalization for Primitive Substitutions
IJCNLP 2019
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion
CVPR 2018
Mitigating Adversarial Effects Through Randomization
ICLR 2018
Adversarial Examples for Semantic Segmentation and Object Detection
ICCV 2017
Semantic Part Segmentation Using Compositional Model Combining Shape and Appearance
CVPR 2015