Xiaojun Chen
34 papers · 2017–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
(24)
Learning Types Β· Machine Learning
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Artificial Intelligence
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Core AI
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graph neural network
(5)
multi-task learning
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large language model
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node classification
(3)
backdoor attack
(2)
multimodal large language model
(2)
projection matrix
(2)
semantic space
(2)
error propagation
(2)
image clustering
(2)
adversarial training
(2)
feature selection
(2)
zero-shot learning
(2)
out-of-distribution detection
(2)
benchmark evaluation
(2)
open-set classification
(2)
question answering
(2)
multimodal learning
(2)
semi-supervised learning
(2)
deep learning
(2)
Papers
ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution
AAAI 2026
ChartR: Evaluating Reasoning Accuracy and Robustness in Chart Question Answering
CVPR 2026
DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks
AAAI 2026
Exposing Functional Fusion: A New Class of Strategic Backdoor in Dynamic Prompt Architectures
CVPR 2026
LiNeXt: Revisiting LiDAR Completion with Efficient Non-Diffusion Architectures
AAAI 2026
PointSLAM++: Robust Dense Neural Gaussian Point Cloud-based SLAM
AAAI 2026
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing
CVPR 2026
Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation
AAAI 2026
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
AAAI 2025
Watermarking with Low-Entropy POS-Guided Token Partitioning and Z-Score-Driven Dynamic Bias for Large Language Models
EMNLP 2025
CipherDM: Secure Three-Party Inference for Diffusion Model Sampling
ECCV 2024
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
NeurIPS 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
ACL 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
NeurIPS 2024
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property
COLING 2024
Multi-Level Cross-Modal Alignment for Image Clustering
AAAI 2024
Representation Surgery for Multi-Task Model Merging
ICML 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
AAAI 2024
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity
JMLR 2023
A Survey for Efficient Open Domain Question Answering
ACL 2023
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
IJCAI 2023
Semantic-Enhanced Image Clustering
AAAI 2023
Deep Unsupervised Hashing with Latent Semantic Components
AAAI 2022
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints
CVPR 2022
Enhancing Label Representations with Relational Inductive Bias Constraint for Fine-Grained Entity Typing
IJCAI 2021
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text
ACL 2020
Exploring Human-Like Reading Strategy for Abstractive Text Summarization
AAAI 2019
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning
IJCAI 2019
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis
AAAI 2019
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
IJCAI 2018
A Self-Balanced Min-Cut Algorithm for Image Clustering
ICCV 2017
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters
EMNLP 2017
Scalable Normalized Cut with Improved Spectral Rotation
IJCAI 2017
Semi-supervised Feature Selection via Rescaled Linear Regression
IJCAI 2017