Ming Xu
20 papers · 2019–2026 · 11 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
Deep Learning
(9)
Artificial Intelligence
(6)
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(6)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(6)
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(5)
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Keywords
visual place recognition
(2)
implicit differentiation
(2)
generative modeling
(1)
online learning
(1)
variational inference
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image retrieval
(1)
optimal transport
(1)
model aggregation
(1)
autoregressive generation
(1)
code generation
(1)
distributed learning
(1)
visual localization
(1)
image reconstruction
(1)
flow matching
(1)
posterior sampling
(1)
3d shape generation
(1)
gradient estimation
(1)
feature representation
(1)
markov chain monte carlo
(1)
semi-supervised learning
(1)
Papers
PhysGen: Physically Grounded 3D Shape Generation for Industrial Design
CVPR 2026
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
ACL 2026
Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
ACL 2026
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
ICLR 2025
Can We Predict Performance of Large Models across Vision-Language Tasks?
ICML 2025
Molecule Design by Latent Prompt Transformer
NeurIPS 2024
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
CVPR 2024
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
ECCV 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
ICLR 2024
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition
ECCV 2024
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
ICLR 2023
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
IJCAI 2023
Revisiting Implicit Differentiation for Learning Problems in Optimal Control
NeurIPS 2023
Two Wrongs Donβt Make a Right: Combating Confirmation Bias in Learning with Label Noise
AAAI 2023
3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization
ECCV 2022
FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction
CVPR 2022
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
CoRL 2022
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
CVPR 2021
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost
ICCV 2019
Variance reduction properties of the reparameterization trick
AISTATS 2019