Xi Zhang

60 papers · 2015–2026 · 16 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (16) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (15) 🗺️ Taxonomy Completionist (21) 🤝 Dynamic Duo (10) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🏆 Grand Slam 🔬 Deep Specialist (10) 🔥 Unstoppable (9) 🚀 Conference Pioneer ⚡ Prolific Year (12) 🗃️ Keyword Collector (272) 📈 Trend Setter 💎 Century Club (55)

Conferences

AAAI (16) IJCAI (8) NIPS (7) CVPR (6) EMNLP (5) ACL (4) ECCV (2) ICLR (2) ICML (2) WACV (2) COLING (1) CORL (1) ICCV (1) JMLR (1) MICCAI (1) SEMEVAL (1)

Top co-authors

Chaozhuo Li (11) Litian Zhang (8) Xiaolin Wu (8) Sihong Xie (5) Yu-Ming Shang (4) Zhihao Tang (3) Feifei Zhang (3) Zaiqiao Meng (3) Changsheng Xu (3) Rui Ha (3)

Research topics

Keywords

large language model (5) rumor detection (5) graph neural network (4) multimodal learning (4) representation learning (3) retrieval-augmented generation (3) lattice vector quantization (3) survival prediction (3) visual question answering (3) knowledge graph (3) whole slide image (3) catastrophic forgetting (2) convolutional neural network (2) diffusion model (2) continual learning (2) adversarial attack (2) mixture of expert (2) image compression (2) adversarial training (2) survival analysis (2)

Papers

TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs AAAI 2026

MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting AAAI 2026

Diversity Preserving Coresets for Image Quality Assessment WACV 2026

Bridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and Benchmark AAAI 2026

METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes AAAI 2026

SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute AAAI 2026

DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models EMNLP 2025

Diffusion Guided Propagation Augmentation for Popularity Prediction IJCAI 2025

Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers AAAI 2025

From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction AAAI 2025

When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach AAAI 2025

Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training AAAI 2025

Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery AAAI 2025

MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning AAAI 2025

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models ACL 2025

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis ACL 2025

SCCD: A Session-based Dataset for Chinese Cyberbullying Detection COLING 2025

Multirate Neural Image Compression with Adaptive Lattice Vector Quantization CVPR 2025

Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction IJCAI 2025

RadEval: A framework for radiology text evaluation EMNLP 2025

Overcoming Dual Drift for Continual Long-Tailed Visual Question Answering ICCV 2025

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold ICLR 2025

Automated Detection of Pre-training Text in Black-box LLMs IJCAI 2025

MIBench: Evaluating Multimodal Large Language Models over Multiple Images EMNLP 2024

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training MICCAI 2024

Training for Stable Explanation for Free NIPS 2024

Trajectory Flow Matching with Applications to Clinical Time Series Modelling NIPS 2024

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression NIPS 2024

Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024

Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration NIPS 2024

BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting EMNLP 2024

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation ACL 2024

Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NIPS 2024

Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement ECCV 2024

Evidence Retrieval is almost All You Need for Fact Verification ACL 2024

A Differential Geometric View and Explainability of GNN on Evolving Graphs ICLR 2023

VQACL: A Novel Visual Question Answering Continual Learning Setting CVPR 2023

LVQAC: Lattice Vector Quantization Coupled With Spatially Adaptive Companding for Efficient Learned Image Compression CVPR 2023

Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods AAAI 2023

Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation WACV 2023

Explainable Survival Analysis with Convolution-Involved Vision Transformer AAAI 2022

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding CVPR 2022

Anytime Information Cascade Popularity Prediction via Self-Exciting Processes ICML 2022

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media AAAI 2022

MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection IJCAI 2022

Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks JMLR 2021

Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton CVPR 2021

Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection EMNLP 2021

Rumor Detection on Social Media with Graph Structured Adversarial Learning IJCAI 2020

DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads CVPR 2020

On Numerosity of Deep Neural Networks NIPS 2020

Cognitive Deficit of Deep Learning in Numerosity AAAI 2019

Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age AAAI 2019

CAGAN: Consistent Adversarial Training Enhanced GANs IJCAI 2018

Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask IJCAI 2018

Attention-aware Deep Adversarial Hashing for Cross-Modal Retrieval ECCV 2018

Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation CORL 2018

Understanding Information Diffusion under Interactions IJCAI 2016

Aicyber at SemEval-2016 Task 4: i-vector based sentence representation SEMEVAL 2016

Hashing for Distributed Data ICML 2015