Hai Jin

EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026 From Intention to Practice: Towards Systematic Validation of NIDS Rule Enforcement NSDI 2026 JANUS: Cross-World, Cooperative Nested Virtualization for Secure Containers OSDI 2026 NuWa: Deriving Lightweight Class-Specific Vision Transformers for Edge Devices CVPR 2026 Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models CVPR 2026 CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale ICML 2025 Dataflow-Guided Neuro-Symbolic Language Models for Type Inference ICML 2025 Multi-Turn Jailbreaking Large Language Models via Attention Shifting AAAI 2025 NaFV-Net: An Adversarial Four-view Network for Mammogram Classification AAAI 2025 NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors AAAI 2025 Sign2Vis: Automated Data Visualization from Sign Language ACL 2025 An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs AAAI 2024 Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections NeurIPS 2024 CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention IJCAI 2024 Correcting Pronoun Homophones with Subtle Semantics in Chinese Speech Recognition COLING 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing NeurIPS 2024 Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning ACL 2024 Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing COLING 2024 Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models ICML 2024 Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback ACL 2024 Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need NeurIPS 2024 A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning AAAI 2023 AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract) AAAI 2023 Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective NeurIPS 2023 Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency CVPR 2023 Downstream-agnostic Adversarial Examples ICCV 2023 ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract) AAAI 2023 Incremental and Decremental Optimal Margin Distribution Learning IJCAI 2023 PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples AAAI 2023 Scalable Optimal Margin Distribution Machine IJCAI 2023 SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning EMNLP 2023 Can Language Models Serve as Temporal Knowledge Bases? EMNLP 2022 OpticE: A Coherence Theory-Based Model for Link Prediction COLING 2022 Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution IJCAI 2022 Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer CVPR 2022 Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection IJCAI 2022 Partial Multi-Label Optimal Margin Distribution Machine IJCAI 2021 Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction ACL 2021 Temporal Heterogeneous Information Network Embedding IJCAI 2021 Motif-Preserving Temporal Network Embedding IJCAI 2020 Optimal Margin Distribution Learning in Dynamic Environments AAAI 2020 Optimal Margin Distribution Machine for Multi-Instance Learning IJCAI 2020