Xiaojun Chen

31 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (16) 🌍 Conference Polyglot (11)

🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🏆 Keyword Champion (2) 👥 Mega-Team (26) 🗃️ Keyword Collector (170) 🚀 Conference Pioneer 💎 Century Club (26) 🔥 Unstoppable (9) 📈 Trend Setter ⚡ Prolific Year (8)

Conferences

AAAI (12) IJCAI (6) ACL (3) EMNLP (2) NIPS (2) COLING (1) CVPR (1) ECCV (1) ICCV (1) ICML (1) JMLR (1)

Top co-authors

Qin Zhang (8) Min Yang (8) Zhendong Zhao (6) Xin Zhao (5) Shirui Pan (4) Feiping Nie (4) He Li (4) Ruifeng Xu (3) Shiwen Ni (3) Shaotian Cai (3)

Keywords

graph neural network (5) node classification (3) large language model (3) adversarial training (2) out-of-distribution detection (2) semi-supervised learning (2) noise robustness (2) deep learning (2) image clustering (2) multi-task learning (2) benchmark evaluation (2) projection matrix (2) zero-shot learning (2) open-set classification (2) semantic space (2) feature selection (2) question answering (2) image generation (1) few-shot learning (1) neural network training (1)

Papers

PointSLAM++: Robust Dense Neural Gaussian Point Cloud-based SLAM AAAI 2026 Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation AAAI 2026 LiNeXt: Revisiting LiDAR Completion with Efficient Non-Diffusion Architectures AAAI 2026 ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution AAAI 2026 DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks AAAI 2026 Watermarking with Low-Entropy POS-Guided Token Partitioning and Z-Score-Driven Dynamic Bias for Large Language Models EMNLP 2025 TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs AAAI 2025 II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models NIPS 2024 EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NIPS 2024 ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024 Multi-Level Cross-Modal Alignment for Image Clustering AAAI 2024 Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024 MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property COLING 2024 CipherDM: Secure Three-Party Inference for Diffusion Model Sampling ECCV 2024 Representation Surgery for Multi-Task Model Merging ICML 2024 G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns IJCAI 2023 Semantic-Enhanced Image Clustering AAAI 2023 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 DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints CVPR 2022 Deep Unsupervised Hashing with Latent Semantic Components AAAI 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 Semi-Supervised Feature Selection with Adaptive Discriminant Analysis AAAI 2019 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 PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training IJCAI 2018 Semi-supervised Feature Selection via Rescaled Linear Regression IJCAI 2017 Scalable Normalized Cut with Improved Spectral Rotation IJCAI 2017 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