Xu Chen
93 papers · 2012–2026 · 16 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 30 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Xu Chen?
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.
23 papers whose co-authors appear nowhere else under this name
PHOTONS: Pose-Free Human-Centric Photo-Realistic Real-Time Novel View Synthesis from Sparse Views
AAAI 2026
Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification
ICCV 2025
Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation
ICCV 2025
Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN
NSDI 2025
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
ICML 2025
Source-Free Domain Adaptation for Cross-Modality Cardiac Image Segmentation with Contrastive Class Relationship Consistency
MICCAI 2025
TrInk: Ink Generation with Transformer Network
EMNLP 2025
Unified Reconstruction of Static and Dynamic Scenes from Events
CVPR 2025
XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification
MICCAI 2025
Efficient Online Crowdsourcing with Complex Annotations
AAAI 2024
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
ICML 2024
SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement
MICCAI 2024
Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes
EMNLP 2024
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models
ECCV 2024
FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework
IJCAI 2022
TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning
IJCAI 2021
Unified Robust Semi-Supervised Variational Autoencoder
ICML 2021
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection
AAAI 2020
Dynamic Explainable Recommendation Based on Neural Attentive Models
AAAI 2019
Learning Active Contour Models for Medical Image Segmentation
CVPR 2019
Benefits from Superposed Hawkes Processes
AISTATS 2018
Unsupervised Deep Haar Scattering on Graphs
NeurIPS 2014
COMET: Code Offload by Migrating Execution Transparently
OSDI 2012