← Authors

Jianyu Wang

31 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (10) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (49) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ‘₯ Mega-Team (29) πŸ† Grand Slam πŸ”₯ Unstoppable (9) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (30) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (113)

Conferences

CVPR (8) ICLR (4) ICCV (3) ICML (3) ACL (2) AISTATS (2) EMNLP (2) NIPS (2) AAAI (1) ECCV (1) IJCNLP (1) JMLR (1) NAACL (1)

Top co-authors

Zhishuai Zhang (4) Gauri Joshi (4) Cihang Xie (4) Alan L. Yuille (3) Haichao Zhang (3) Lidong Bing (3) Zhiqiang Hu (3) Nan Du (2) Xin Li (2) Ruoming Pang (2)

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
Towards High-fidelity 3D Talking Avatar with Personalized Dynamic Texture CVPR 2025
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
Instruction-Following Pruning for Large Language Models ICML 2025
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
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
Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning ICLR 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023
Federated Learning under Distributed Concept Drift AISTATS 2023
Non-Line-of-Sight Imaging With Signal Superresolution Network 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
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
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization NIPS 2020
Compositional Generalization for Primitive Substitutions EMNLP 2019
Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NIPS 2019
Towards Adversarially Robust Object Detection ICCV 2019
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks ICCV 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