Wei Xu
149 papers · 2006–2026 · 21 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 32 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Wei Xu?
7 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 Haichao Zhang, Haonan Yu, Yi Yang
33 papers
· 2015–2024
· CVPR, ICLR, ACL
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FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
ICML 2024
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
ICLR 2024
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
IJCAI 2024
Robot Policy Learning with Temporal Optimal Transport Reward
NeurIPS 2024
Solving Motion Planning Tasks with a Scalable Generative Model
ECCV 2024
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
ICML 2024
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
ICLR 2024
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
ICLR 2023
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
ICLR 2022
PaCo: Parameter-Compositional Multi-task Reinforcement Learning
NeurIPS 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy
NeurIPS 2022
Hierarchical Reinforcement Learning by Discovering Intrinsic Options
ICLR 2021
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
ACL 2021
Revisiting the Evaluation of End-to-end Event Extraction
ACL 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control
NeurIPS 2021
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
ACL 2019
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
EMNLP 2019
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos
CVPR 2019
DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map
CVPR 2018
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
CoRL 2018
Interactive Grounded Language Acquisition and Generalization in a 2D World
ICLR 2018
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game
ACL 2018
LEGO: Learning Edge With Geometry All at Once by Watching Videos
CVPR 2018
Occlusion Aware Unsupervised Learning of Optical Flow
CVPR 2018
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
JMLR 2017
Joint Training for Pivot-based Neural Machine Translation
IJCAI 2017
Attention to Scale: Scale-Aware Semantic Image Segmentation
CVPR 2016
CNN-RNN: A Unified Framework for Multi-Label Image Classification
CVPR 2016
Semi-Supervised Learning for Neural Machine Translation
ACL 2016
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
CVPR 2016
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
NeurIPS 2015
End-to-end learning of semantic role labeling using recurrent neural networks
ACL 2015
Look and Think Twice: Capturing Top-Down Visual Attention With Feedback Convolutional Neural Networks
ICCV 2015
25 papers whose co-authors appear nowhere else under this name
Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks
ACL 2026
UniVBench: Towards Unified Evaluation for Video Foundation Models
CVPR 2026
BiasEdit: Debiasing Stereotyped Language Models via Model Editing
NAACL 2025
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation Method for Wireless Network Optimization
IJCAI 2025
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
EMNLP 2025
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
ACL 2025
The Impact of Visual Information in Chinese Characters: Evaluating Large Models’ Ability to Recognize and Utilize Radicals
NAACL 2025
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
ICML 2025
Active Speaker Detection in Fisheye Meeting Scenes with Scene Spatial Spectrums
Interspeech 2024
Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model
ACL 2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
ICLR 2024
LVMT: An Efficient Authenticated Storage for Blockchain
OSDI 2023
Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification
ACL 2023
Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients
ICCV 2023
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
RSS 2021
Mutual Information State Intrinsic Control
ICLR 2021
Feature Statistics Guided Efficient Filter Pruning
IJCAI 2020
Financial Risk Prediction with Multi-Round Q&A Attention Network
IJCAI 2020
Generalizing Natural Language Analysis through Span-relation Representations
ACL 2020
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
IJCAI 2020
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
ICCV 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
AAAI 2019
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
ACL 2016
Deep Learning with Kernel Regularization for Visual Recognition
NeurIPS 2008
Extractive Summarization using Inter- and Intra- Event Relevance
ACL 2006