Xuan Zhang
43 papers · 2016–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (17) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Academic Marathon (9)
π
Academic Marathon
(9)
π
Cross-Pollinator
(4)
π
Renaissance Researcher
(11)
π
Keyword Champion
π
Grand Slam
π§¬
Topic Evolution
ποΈ
Keyword Collector
(159)
β‘
Prolific Year
(8)
π
Century Club
(42)
π
Conference Pioneer
π₯
Unstoppable
(10)
Conferences
EMNLP (8)
ICLR (6)
AAAI (5)
ACL (3)
ICML (3)
NIPS (3)
CVPR (2)
EACL (2)
AACL (2)
IJCNLP (2)
COLING (1)
CONLL (1)
IJCAI (1)
JMLR (1)
NAACL (1)
NSDI (1)
WACV (1)
Top co-authors
Research topics
Keywords
neural machine translation
(5)
large language model
(4)
machine translation
(2)
lexicon integration
(2)
graph neural network
(2)
neural network
(2)
variance reduction
(2)
stochastic optimization
(2)
multi-turn interaction
(2)
continued training
(2)
domain adaptation
(2)
video understanding
(2)
hyperparameter optimization
(2)
few-shot learning
(2)
knowledge graph embedding
(2)
bilingual lexicon
(2)
minimax optimization
(2)
attention mechanism
(2)
assignment problem
(1)
anomaly detection
(1)
Papers
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
AAAI 2026
AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies
ICLR 2025
AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification
EMNLP 2025
AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling
ICML 2025
Integrating Large Language Models and MΓΆbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere
AAAI 2025
PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation
WACV 2025
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs
ACL 2025
Unlocking ECMP Programmability for Precise Traffic Control
NSDI 2025
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
ICML 2025
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
NIPS 2024
On the Multi-turn Instruction Following for Conversational Web Agents
ACL 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract)
AAAI 2024
Ask-before-Plan: Proactive Language Agents for Real-World Planning
EMNLP 2024
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
AAAI 2024
Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM
COLING 2024
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
AAAI 2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
ICLR 2024
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
IJCNLP 2023
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
AACL 2023
A Hyperparameter Optimization Toolkit for Neural Machine Translation Research
ACL 2023
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
CVPR 2023
AutoML for NLP
EACL 2023
Handshape-Aware Sign Language Recognition: Extended Datasets and Exploration of Handshape-Inclusive Methods
EMNLP 2023
Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA
EMNLP 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
ICLR 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations
ICML 2023
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
IJCAI 2023
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
ICLR 2022
Spherical Message Passing for 3D Molecular Graphs
ICLR 2022
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
NIPS 2022
Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines
EMNLP 2022
Disentangled Recurrent Wasserstein Autoencoder
ICLR 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021
SEMA: Text Simplification Evaluation through Semantic Alignment
AACL 2020
Quaternion Product Units for Deep Learning on 3D Rotation Groups
CVPR 2020
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation
EMNLP 2019
Curriculum Learning for Domain Adaptation in Neural Machine Translation
NAACL 2019
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation
IJCNLP 2019
Balancing Efficiency and Fairness in On-Demand Ridesourcing
NIPS 2019
The JHU/KyotoU Speech Translation System for IWSLT 2018
EMNLP 2018
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings
EACL 2017
The Virginia Tech System at CoNLL-2016 Shared Task on Shallow Discourse Parsing
CONLL 2016
Emotion Distribution Learning from Texts
EMNLP 2016