Hai Jin
39 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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Taxonomy Completionist
(75)
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Interdisciplinary Bridge
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Dynamic Duo
(10)
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The Questioner
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Prolific Year
(10)
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Keyword Collector
(166)
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Century Club
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Conferences
AAAI (10)
IJCAI (9)
ACL (4)
NIPS (4)
COLING (3)
ICML (3)
CVPR (2)
EMNLP (2)
ICCV (1)
IJCNLP (1)
Top co-authors
Keywords
link prediction
(5)
large language model
(5)
margin distribution
(4)
graph neural network
(4)
attention mechanism
(4)
adversarial attack
(4)
adversarial example
(3)
adversarial learning
(3)
hawkes process
(2)
temporal network embedding
(2)
universal adversarial perturbation
(2)
kernel methods
(2)
knowledge graph completion
(2)
optimal margin
(2)
language model
(2)
network embedding
(2)
node classification
(2)
transfer learning
(1)
domain generalization
(1)
neural network security
(1)
Papers
EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation
AAAI 2026
NaFV-Net: An Adversarial Four-view Network for Mammogram Classification
AAAI 2025
Sign2Vis: Automated Data Visualization from Sign Language
ACL 2025
Multi-Turn Jailbreaking Large Language Models via Attention Shifting
AAAI 2025
CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale
ICML 2025
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
ICML 2025
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
AAAI 2025
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
COLING 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing
NIPS 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
NIPS 2024
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
NIPS 2024
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
AAAI 2024
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
ACL 2024
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
ACL 2024
Correcting Pronoun Homophones with Subtle Semantics in Chinese Speech Recognition
COLING 2024
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
ICML 2024
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention
IJCAI 2024
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples
AAAI 2023
Incremental and Decremental Optimal Margin Distribution Learning
IJCAI 2023
ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract)
AAAI 2023
AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract)
AAAI 2023
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
CVPR 2023
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
NIPS 2023
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning
EMNLP 2023
Downstream-agnostic Adversarial Examples
ICCV 2023
Scalable Optimal Margin Distribution Machine
IJCAI 2023
A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning
AAAI 2023
OpticE: A Coherence Theory-Based Model for Link Prediction
COLING 2022
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer
CVPR 2022
Can Language Models Serve as Temporal Knowledge Bases?
EMNLP 2022
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection
IJCAI 2022
Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution
IJCAI 2022
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
ACL 2021
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
IJCNLP 2021
Temporal Heterogeneous Information Network Embedding
IJCAI 2021
Partial Multi-Label Optimal Margin Distribution Machine
IJCAI 2021
Optimal Margin Distribution Learning in Dynamic Environments
AAAI 2020
Optimal Margin Distribution Machine for Multi-Instance Learning
IJCAI 2020
Motif-Preserving Temporal Network Embedding
IJCAI 2020