Wei Jiang
57 papers · 2005–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 19 separate collaboration groups - the largest holds only 25% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Wei Jiang?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Lijun Zhang, Yibo Wang, Wenhao Yang
14 papers
· 2021–2025
· NeurIPS, ICML, IJCAI
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Smoothed Online Convex Optimization with Delayed Feedback
IJCAI 2025
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
NeurIPS 2024
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
ICML 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
NeurIPS 2024
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees
AAAI 2024
Online Composite Optimization Between Stochastic and Adversarial Environments
NeurIPS 2024
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
ICML 2024
Small-loss Adaptive Regret for Online Convex Optimization
ICML 2024
Learning Unnormalized Statistical Models via Compositional Optimization
ICML 2023
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
NeurIPS 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
ICML 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
NeurIPS 2022
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
NeurIPS 2021
Revisiting Smoothed Online Learning
NeurIPS 2021
11 papers whose co-authors appear nowhere else under this name
SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning
AAAI 2026
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression
CVPR 2025
Enhancing Large Language Models for Scientific Multimodal Summarization with Multimodal Output
COLING 2025
Multi-View Learning with Context-Guided Receptance for Image Denoising
IJCAI 2025
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending
ACL 2024
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance
ACL 2024
Neural Image Compression Using Masked Sparse Visual Representation
WACV 2024
Whittle Index with Multiple Actions and State Constraint for Inventory Management
ICLR 2024
Dynamic Popularity-Aware Contrastive Learning for Recommendation
ACML 2021
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
ECCV 2020
An End-To-End Network for Panoptic Segmentation
CVPR 2019