Jin Liu
46 papers · 2017–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (17) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Academic Marathon (8)
π
Academic Marathon
(8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(11)
π§¬
Topic Evolution
π
Grand Slam
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Triple Crown
π
Century Club
(40)
ποΈ
Keyword Collector
(176)
π₯
Unstoppable
(6)
β‘
Prolific Year
(12)
Conferences
ACL (8)
AAAI (7)
IJCAI (5)
ICML (4)
MICCAI (4)
NAACL (3)
COLING (2)
CVPR (2)
EMNLP (2)
ICCV (2)
SEMEVAL (1)
NIPS (1)
JMLR (1)
INTERSPEECH (1)
ICLR (1)
CORL (1)
ACML (1)
Top co-authors
Research topics
Keywords
graph neural network
(3)
diffusion model
(3)
entity embedding
(3)
multi-view stereo
(2)
score distillation sampling
(2)
retrieval-augmented generation
(2)
knowledge graph
(2)
depth estimation
(2)
remote sensing
(2)
speech analysis
(2)
representation learning
(2)
code completion
(2)
3d reconstruction
(2)
pre-trained language model
(2)
stochastic optimization
(2)
question answering
(2)
attention mechanism
(2)
natural language inference
(2)
neural network optimization
(2)
privacy preservation
(2)
Papers
CoGrad3D: Spatially-Coupled Timestep Optimization with Orthogonal Gradient Fusion for 3D Generation
AAAI 2026
Opt3DGS: Optimizing 3D Gaussian Splatting with Adaptive Exploration and Curvature-Aware Exploitation
AAAI 2026
InsLogicBench: An Argumentation Logic Grounded Benchmark for Complex Insurance Claims Adjudication
ACL 2026
Clustering with Self-Learned Graph Regression
AAAI 2026
FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
AAAI 2026
Wavefront-Constrained Passive Obscured Object Detection
AAAI 2026
Stability and Generalization for Stochastic (Compositional) Optimizations
IJCAI 2025
UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
CORL 2025
Graph-of-Thoughts for Fact-Checking with Large Language Models
ACL 2025
Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
ICML 2025
Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
ICML 2025
OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models
IJCAI 2025
Volumetric Axial Disentanglement Enabling Advancing in Medical Image Segmentation
IJCAI 2025
A Survey on the Feedback Mechanism of LLM-based AI Agents
IJCAI 2025
Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction
MICCAI 2025
MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis
MICCAI 2025
Tetra-orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading
MICCAI 2025
VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
MICCAI 2025
KEEP CHATTING! An Attractive Dataset for Continuous Conversation Agents
ACL 2024
Region-Aware Exposure Consistency Network for Mixed Exposure Correction
AAAI 2024
Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
NIPS 2024
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
ICLR 2024
Pre-trained Feature Fusion and Matching for Mild Cognitive Impairment Detection
INTERSPEECH 2024
Inference on High-dimensional Single-index Models with Streaming Data
JMLR 2024
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
AAAI 2024
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
ICML 2024
FZI-WIM at AVeriTeC Shared Task: Real-World Fact-Checking with Question Answering
EMNLP 2024
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain
NAACL 2024
FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical Domain
SEMEVAL 2024
Learning Query Adaptive Anchor Representation for Inductive Relation Prediction
ACL 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
ICML 2023
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
EMNLP 2023
Adaptive Graph Convolutional Subspace Clustering
CVPR 2023
CDA: A Contrastive Data Augmentation Method for Alzheimerβs Disease Detection
ACL 2023
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization
ACL 2022
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency
NAACL 2022
Compilable Neural Code Generation with Compiler Feedback
ACL 2022
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training
NAACL 2022
Circulant-interactive Transformer with
Dimension-aware Fusion for Multimodal Sentiment
Analysis
ACML 2022
Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation
COLING 2022
Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching
ICCV 2021
A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment
COLING 2020
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-View Stereo Reconstruction From an Open Aerial Dataset
CVPR 2020
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding
ACL 2020
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models
IJCAI 2020
Saliency Pattern Detection by Ranking Structured Trees
ICCV 2017