Wei Jiang

Semi-Supervised High Dynamic Range Image Reconstructing via Bi-Level Uncertain Area Masking AAAI 2026 BokehFlow: Depth-Free Controllable Bokeh Rendering via Flow Matching AAAI 2026 CONCORD: Concept-Informed Diffusion for Dataset Distillation WACV 2026 Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training ACL 2026 EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering ACL 2026 InquireMobile: Teaching VLM-based Mobile Agent to Request Human Assistance via Reinforcement Fine-Tuning ACL 2026 History-Aware Reasoning for GUI Agents AAAI 2026 ProBench: Benchmarking GUI Agents with Accurate Process Information AAAI 2026 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 Group Distributionally Robust Dataset Distillation with Risk Minimization ICLR 2025 Multi-View Learning with Context-Guided Receptance for Image Denoising IJCAI 2025 Smoothed Online Convex Optimization with Delayed Feedback IJCAI 2025 Efficiently Serving Large Multimodal Models Using EPD Disaggregation ICML 2025 Enhancing Large Language Models for Scientific Multimodal Summarization with Multimodal Output COLING 2025 Exploring Contextual Attribute Density in Referring Expression Counting CVPR 2025 Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond ICML 2024 Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization ICML 2024 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NIPS 2024 Whittle Index with Multiple Actions and State Constraint for Inventory Management ICLR 2024 Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NIPS 2024 Online Composite Optimization Between Stochastic and Adversarial Environments NIPS 2024 Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024 Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees 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 Neural Image Compression Using Masked Sparse Visual Representation WACV 2024 Efficient Dataset Distillation via Minimax Diffusion CVPR 2024 Small-loss Adaptive Regret for Online Convex Optimization ICML 2024 Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation CVPR 2023 AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing ACL 2023 MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID 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 Optimal Algorithms for Stochastic Multi-Level Compositional Optimization ICML 2022 NeuMan: Neural Human Radiance Field from a Single Video ECCV 2022 Novel-View Synthesis of Human Tourist Photos WACV 2022 LSVC: A Learning-Based Stereo Video Compression Framework CVPR 2022 Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction CVPR 2022 Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization NIPS 2022 Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor NIPS 2022 DeRF: Decomposed Radiance Fields CVPR 2021 COTR: Correspondence Transformer for Matching Across Images ICCV 2021 Revisiting Smoothed Online Learning NIPS 2021 TransReID: Transformer-Based Object Re-Identification ICCV 2021 Dynamic Popularity-Aware Contrastive Learning for Recommendation ACML 2021 Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NIPS 2021 ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning CVPR 2020 Optimizing Through Learned Errors for Accurate Sports Field Registration WACV 2020 SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation ECCV 2020 SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT CONLL 2019 Linearized Multi-Sampling for Differentiable Image Transformation ICCV 2019 An End-To-End Network for Panoptic Segmentation CVPR 2019 HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing SEMEVAL 2019 Chinese Word Segmentation based on Mixing Model IJCNLP 2005