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Wei Jiang

53 papers · 2005–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (93) 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (21) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (5) 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (48) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (13) πŸ—ƒοΈ Keyword Collector (231)

Conferences

CVPR (11) AAAI (7) NIPS (7) ICML (6) ICCV (4) WACV (4) ACL (3) ECCV (2) ICLR (2) IJCAI (2) ACML (1) COLING (1) CONLL (1) IJCNLP (1) SEMEVAL (1)

Top co-authors

Lijun Zhang (14) Yibo Wang (7) Kwang Moo Yi (7) Wenhao Yang (6) Jianyang Gu (6) Tianbao Yang (5) Andrea Tagliasacchi (4) Yang You (4) Yuanyu Wan (4) Sifan Yang (4)

Keywords

stochastic optimization (5) large language model (5) dynamic regret (4) online convex optimization (4) compositional optimization (4) online learning (4) variance reduction (4) image registration (3) instance segmentation (3) non-convex optimization (3) switching cost (3) dataset distillation (3) adaptive regret (3) 3d reconstruction (2) representation learning (2) semantic segmentation (2) zero-shot learning (2) transformer architecture (2) semantic parsing (2) contrastive learning (2)

Papers

Semi-Supervised High Dynamic Range Image Reconstructing via Bi-Level Uncertain Area Masking AAAI 2026
History-Aware Reasoning for GUI Agents AAAI 2026
SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning AAAI 2026
ProBench: Benchmarking GUI Agents with Accurate Process Information AAAI 2026
CONCORD: Concept-Informed Diffusion for Dataset Distillation WACV 2026
BokehFlow: Depth-Free Controllable Bokeh Rendering via Flow Matching AAAI 2026
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression CVPR 2025
Group Distributionally Robust Dataset Distillation with Risk Minimization ICLR 2025
Enhancing Large Language Models for Scientific Multimodal Summarization with Multimodal Output COLING 2025
Smoothed Online Convex Optimization with Delayed Feedback IJCAI 2025
Multi-View Learning with Context-Guided Receptance for Image Denoising IJCAI 2025
Efficiently Serving Large Multimodal Models Using EPD Disaggregation ICML 2025
Exploring Contextual Attribute Density in Referring Expression Counting CVPR 2025
Whittle Index with Multiple Actions and State Constraint for Inventory Management ICLR 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NIPS 2024
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NIPS 2024
Neural Image Compression Using Masked Sparse Visual Representation WACV 2024
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization ICML 2024
Efficient Dataset Distillation via Minimax Diffusion CVPR 2024
Small-loss Adaptive Regret for Online Convex Optimization ICML 2024
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond ICML 2024
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees AAAI 2024
Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024
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
Online Composite Optimization Between Stochastic and Adversarial Environments NIPS 2024
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID CVPR 2023
AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing ACL 2023
Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation CVPR 2023
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation CVPR 2023
DREAM: Efficient Dataset Distillation by Representative Matching ICCV 2023
Learning Unnormalized Statistical Models via Compositional Optimization ICML 2023
LSVC: A Learning-Based Stereo Video Compression Framework CVPR 2022
Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction CVPR 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor NIPS 2022
Novel-View Synthesis of Human Tourist Photos WACV 2022
NeuMan: Neural Human Radiance Field from a Single Video ECCV 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization NIPS 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization ICML 2022
TransReID: Transformer-Based Object Re-Identification ICCV 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NIPS 2021
Revisiting Smoothed Online Learning NIPS 2021
DeRF: Decomposed Radiance Fields CVPR 2021
Dynamic Popularity-Aware Contrastive Learning for Recommendation ACML 2021
COTR: Correspondence Transformer for Matching Across Images ICCV 2021
Optimizing Through Learned Errors for Accurate Sports Field Registration WACV 2020
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation ECCV 2020
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning CVPR 2020
HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing SEMEVAL 2019
Linearized Multi-Sampling for Differentiable Image Transformation ICCV 2019
An End-To-End Network for Panoptic Segmentation CVPR 2019
SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT CONLL 2019
Chinese Word Segmentation based on Mixing Model IJCNLP 2005