Xi Zhang

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning ACL 2026 MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting AAAI 2026 TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs AAAI 2026 SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute 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 DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models 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 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 Diffusion Guided Propagation Augmentation for Popularity Prediction IJCAI 2025 Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction IJCAI 2025 RadEval: A framework for radiology text evaluation EMNLP 2025 Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers AAAI 2025 Trajectory Flow Matching with Applications to Clinical Time Series Modelling NIPS 2024 Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration NIPS 2024 Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement ECCV 2024 Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression NIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NIPS 2024 Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training MICCAI 2024 Training for Stable Explanation for Free NIPS 2024 Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024 Evidence Retrieval is almost All You Need for Fact Verification ACL 2024 Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation ACL 2024 MIBench: Evaluating Multimodal Large Language Models over Multiple Images EMNLP 2024 BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting EMNLP 2024 Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation WACV 2023 Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods AAAI 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 A Differential Geometric View and Explainability of GNN on Evolving Graphs ICLR 2023 Anytime Information Cascade Popularity Prediction via Self-Exciting Processes ICML 2022 MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection IJCAI 2022 ABO: Dataset and Benchmarks for Real-World 3D Object Understanding CVPR 2022 DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media AAAI 2022 Explainable Survival Analysis with Convolution-Involved Vision Transformer AAAI 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 On Numerosity of Deep Neural Networks NIPS 2020 DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads CVPR 2020 Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age AAAI 2019 Cognitive Deficit of Deep Learning in Numerosity AAAI 2019 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 CAGAN: Consistent Adversarial Training Enhanced GANs IJCAI 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