Chen Xu
58 papers · 2018–2026 · 19 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 21 separate collaboration groups - the largest holds only 40% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Chen Xu?
6 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 Jun Xu, Liang Pang, Wenjie Wang
6 papers
· 2020–2025
· EMNLP, NAACL, ICLR
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A Federated Framework for LLM-based Recommendation
NAACL 2025
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
ICLR 2025
Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision
EMNLP 2025
A Study of Implicit Ranking Unfairness in Large Language Models
EMNLP 2024
Semantic Sentence Matching via Interacting Syntax Graphs
COLING 2022
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
EMNLP 2020
15 papers whose co-authors appear nowhere else under this name
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
RSS 2025
Discriminative Score Suppression for Weakly Supervised Video Anomaly Detection
WACV 2025
Global Optimization with a Power-Transformed Objective and Gaussian Smoothing
ICML 2025
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
ICML 2025
Triad: Empowering LMM-based Anomaly Detection with Expert-guided Region-of-Interest Tokenizer and Manufacturing Process
ICCV 2025
Accelerating Image Generation with Sub-path Linear Approximation Model
ECCV 2024
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
NeurIPS 2024
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning
AAAI 2023
Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation
EACL 2023
Exploring Data Geometry for Continual Learning
CVPR 2023
Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos
CVPR 2022
Change or Not: A Simple Approach for Plug and Play Language Models on Sentiment Control
AAAI 2021
Distributed Feature Screening via Componentwise Debiasing
JMLR 2020
Predictive inference is free with the jackknife+-after-bootstrap
NeurIPS 2020
Alternating Multi-bit Quantization for Recurrent Neural Networks
ICLR 2018