Jianxin Wang
31 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π Cross-Pollinator (9)
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(63)
π
Conference Polyglot
(10)
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π₯
Unstoppable
(5)
β
The Questioner
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Century Club
(29)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(129)
Conferences
AAAI (6)
IJCAI (5)
NIPS (5)
MICCAI (4)
ACL (2)
COLING (2)
EMNLP (2)
ICLR (2)
ICML (2)
RSS (1)
Top co-authors
Keywords
approximation algorithm
(6)
combinatorial optimization
(2)
disease diagnosis
(2)
local search algorithm
(2)
k-means clustering
(2)
knowledge graph
(2)
unsupervised learning
(2)
large language model
(2)
adversarial robustness
(1)
scene understanding
(1)
reinforcement learning
(1)
decision making
(1)
feature selection
(1)
uncertainty quantification
(1)
matrix factorization
(1)
contrastive learning
(1)
attention mechanism
(1)
collaborative filtering
(1)
knowledge distillation
(1)
variational inference
(1)
Papers
Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference
AAAI 2026
Perspective from a Broader Context: Can Room Style Knowledge Help Visual Floorplan Localization?
AAAI 2026
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
Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association
AAAI 2025
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
AAAI 2025
Fully-Scalable Massively Parallel Algorithm for k-center with Outliers
AAAI 2025
VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising
MICCAI 2025
Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering
IJCAI 2025
medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs
COLING 2025
RUIE: Retrieval-based Unified Information Extraction using Large Language Model
COLING 2025
DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration
EMNLP 2025
New Algorithms for the Learning-Augmented k-means Problem
ICLR 2025
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation
RSS 2025
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination
NIPS 2024
SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation
IJCAI 2024
Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering
ACL 2024
Linear Time Approximation Algorithm for Column Subset Selection with Local Search
NIPS 2024
Near-Linear Time Approximation Algorithms for k-means with Outliers
ICML 2024
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
EMNLP 2024
SEC: More Accurate Clustering Algorithm via Structural Entropy
AAAI 2024
Optimal Activation Functions for the Random Features Regression Model
ICLR 2023
Linear Time Algorithms for k-means with Multi-Swap Local Search
NIPS 2023
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
NIPS 2023
CDA: A Contrastive Data Augmentation Method for Alzheimerβs Disease Detection
ACL 2023
Fast Algorithms for Distributed k-Clustering with Outliers
ICML 2023
FLS: A New Local Search Algorithm for K-means with Smaller Search Space
IJCAI 2022
Coded Residual Transform for Generalizable Deep Metric Learning
NIPS 2022
Resolution and Domination: An Improved Exact MaxSAT Algorithm
IJCAI 2019
Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness
IJCAI 2018