Jinjun Xiong
42 papers · 2017–2026 · 15 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (15)
π
Interdisciplinary Bridge
π
Conference Polyglot
(15)
πΊοΈ
Taxonomy Completionist
(75)
π¬
Deep Specialist
(11)
π
Grand Slam
π
Keyword Champion
(3)
π€
Dynamic Duo
(15)
ποΈ
Keyword Collector
(201)
β
The Questioner
(3)
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(42)
π₯
Unstoppable
(10)
Conferences
ACL (6)
EMNLP (6)
NIPS (5)
ICCV (4)
ICML (4)
ECCV (3)
ICLR (3)
NAACL (3)
IJCNLP (2)
AAAI (1)
CVPR (1)
EACL (1)
IJCAI (1)
MIDL (1)
WACV (1)
Top co-authors
Research topics
Keywords
information extraction
(4)
sample complexity
(3)
semantic segmentation
(3)
topic model
(3)
domain knowledge
(3)
text generation
(3)
semantic graph
(2)
word embedding
(2)
large language model
(2)
neural architecture search
(2)
representation learning
(2)
semi-supervised learning
(2)
vocabulary mismatch
(2)
domain relevance
(2)
knowledge graph
(2)
semantic analysis
(2)
hierarchical learning
(2)
unsupervised learning
(2)
self-supervised learning
(2)
graph neural network
(2)
Papers
QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation
WACV 2026
Sub-Sequential Physics-Informed Learning with State Space Model
ICML 2025
Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data
ICLR 2025
Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework
IJCAI 2025
LORE: Continual Logit Rewriting Fosters Faithful Generation
EMNLP 2025
AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction
EACL 2024
Infinite-Dimensional Feature Interaction
NIPS 2024
Extensible and Efficient Proxy for Neural Architecture Search
ICCV 2023
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
NIPS 2023
Can Language Models Be Specific? How?
ACL 2023
Open Relation Modeling: Learning to Define Relations between Entities
ACL 2022
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
ICLR 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
ICML 2022
Understanding Jargon: Combining Extraction and Generation for Definition Modeling
EMNLP 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction
NAACL 2022
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships
EMNLP 2022
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
IJCNLP 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
NIPS 2021
Generic Neural Architecture Search via Regression
NIPS 2021
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
ACL 2021
Interpretable Visual Reasoning via Induced Symbolic Space
ICCV 2021
Global Prosody Style Transfer Without Text Transcriptions
ICML 2021
xER: An Explainable Model for Entity Resolution using an Efficient Solution for the Clique Partitioning Problem
NAACL 2021
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation
MIDL 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
ICML 2020
A Multi-Perspective Architecture for Semantic Code Search
ACL 2020
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
CVPR 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
ECCV 2020
Exploring Semantic Capacity of Terms
EMNLP 2020
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space
EMNLP 2019
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection
ICCV 2019
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection
AAAI 2019
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
ICLR 2019
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space
IJCNLP 2019
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
NAACL 2019
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method
EMNLP 2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
ICCV 2019
Equipping Educational Applications with Domain Knowledge
ACL 2019
Document Similarity for Texts of Varying Lengths via Hidden Topics
ACL 2018
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
ECCV 2018
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
ECCV 2018
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
NIPS 2017