Wei Cheng
72 papers · 2017–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (125) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(47)
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Deep Specialist
(17)
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Topic Evolution
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Keyword Champion
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Keyword Pioneer
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Triple Crown
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Renaissance Researcher
(7)
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Unstoppable Β· Silver
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The Questioner
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Prolific Year Β· Prolific
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Conference Pioneer
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Century Club Β· Silver
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Trend Setter
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Keyword Collector
(353)
Venues
Top co-authors
Research topics
Machine Learning
(45)
Artificial Intelligence
(43)
Core AI
(39)
Deep Learning
(34)
Learning Types Β· Machine Learning
(25)
Core Methods
(24)
Learning Types Β· Deep Learning
(15)
Application Areas
(14)
Computer Vision
(13)
Natural Language Processing
(12)
Data Science & Analytics
(11)
Models
(11)
Architectures
(10)
Methods
(9)
Applications
(8)
Keywords
large language model
(14)
representation learning
(5)
gaussian mixture model
(5)
unsupervised learning
(5)
graph neural network
(4)
node classification
(4)
multivariate time series
(4)
in-context learning
(3)
vision-language model
(3)
graph representation learning
(3)
recurrent neural network
(3)
diffusion model
(3)
language model
(3)
code generation
(3)
multi-task learning
(3)
feature extraction
(3)
attention mechanism
(3)
time series
(3)
link prediction
(2)
zero-shot learning
(2)
Papers
Bootstrapping Code Translation with Weighted Multilanguage Exploration
ACL 2026
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
EACL 2026
Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction
CVPR 2026
iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation
CVPR 2026
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens
CVPR 2026
On the Effect of Sampling Diversity in Scaling LLM Inference
UAI 2026
ReasonEdit: Towards Reasoning-Enhanced Image Editing Models
CVPR 2026
Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards
ACL 2026
SkillGen: Learning Domain Skills for In-Context Sequential Decision Making
AAAI 2026
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
AAAI 2026
Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
ACL 2026
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
ACL 2026
ViStoryBench: Comprehensive Benchmark Suite for Story Visualization
CVPR 2026
Beyond Sequences: Two-dimensional Representation and Dependency Encoding for Code Generation
ACL 2025
Chain-of-region: Visual Language Models Need Details for Diagram Analysis
ICLR 2025
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
ICLR 2025
Harnessing Vision Models for Time Series Analysis: A Survey
IJCAI 2025
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
ICLR 2025
MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 2025
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
CVPR 2025
Position Really Matters: Towards a Holistic Approach for Prompt Tuning
NAACL 2025
SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search
ICLR 2025
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
AAAI 2025
Uncertainty Propagation on LLM Agent
ACL 2025
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
CVPR 2025
A Survey on Detection of LLMs-Generated Content
EMNLP 2024
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
NeurIPS 2024
Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion
ACL 2024
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
ICML 2024
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
ICLR 2024
Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt
EMNLP 2024
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
EMNLP 2024
Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 2024
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
NeurIPS 2024
Parametric Augmentation for Time Series Contrastive Learning
ICLR 2024
Protecting Your LLMs with Information Bottleneck
NeurIPS 2024
Pruning as a Domain-specific LLM Extractor
NAACL 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
ICLR 2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
EMNLP 2024
Uncertainty Quantification for In-Context Learning of Large Language Models
NAACL 2024
DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering
ICCV 2023
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning
NeurIPS 2023
MonoHuman: Animatable Human Neural Field From Monocular Video
CVPR 2023
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates
EMNLP 2023
Personalized Federated Learning under Mixture of Distributions
ICML 2023
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
NeurIPS 2023
Time Series Contrastive Learning with Information-Aware Augmentations
AAAI 2023
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
EMNLP 2023
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
ICLR 2022
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph
AAAI 2022
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation
AAAI 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
AAAI 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems
CVPR 2021
InfoGCL: Information-Aware Graph Contrastive Learning
NeurIPS 2021
Multi-Task Recurrent Modular Networks
AAAI 2021
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
EMNLP 2021
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling
AAAI 2021
Unsupervised Concept Representation Learning for Length-Varying Text Similarity
NAACL 2021
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
AAAI 2020
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
AAAI 2020
Inductive and Unsupervised Representation Learning on Graph Structured Objects
ICLR 2020
Parameterized Explainer for Graph Neural Network
NeurIPS 2020
Robust Graph Representation Learning via Neural Sparsification
ICML 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
AAAI 2020
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
AAAI 2019
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
IJCAI 2019
De-biasing Covariance-Regularized Discriminant Analysis
IJCAI 2018
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
ICLR 2018
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
IJCAI 2017
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks
IJCAI 2017