← Authors

Wei Cheng

62 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🀝 Dynamic Duo (42) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (6) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (278) πŸ’Ž Century Club (58) πŸ”₯ Unstoppable (9) πŸš€ Conference Pioneer

Conferences

AAAI (13) ICLR (11) EMNLP (8) NIPS (7) IJCAI (5) NAACL (5) CVPR (4) ACL (3) ICML (3) EACL (2) ICCV (1)

Top co-authors

Haifeng Chen (44) Yanchi Liu (18) Wenchao Yu (16) Jingchao Ni (15) Bo Zong (12) Dongjin Song (11) Xujiang Zhao (10) Dongkuan Xu (9) Xiang Zhang (8) Dongsheng Luo (8)

Keywords

large language model (11) multivariate time series (4) representation learning (4) node classification (4) unsupervised learning (4) feature extraction (3) gaussian mixture model (3) multi-task learning (3) in-context learning (3) recurrent neural network (3) attention mechanism (3) language model (3) graph neural network (3) link prediction (2) time series forecasting (2) time series prediction (2) code generation (2) time series (2) model pruning (2) graph representation learning (2)

Papers

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers AAAI 2026
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router EACL 2026
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement EACL 2026
SkillGen: Learning Domain Skills for In-Context Sequential Decision Making AAAI 2026
Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025
MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025
Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 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
SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors 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
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D CVPR 2025
Uncertainty Propagation on LLM Agent ACL 2025
Beyond Sequences: Two-dimensional Representation and Dependency Encoding for Code Generation ACL 2025
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025
Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024
Protecting Your LLMs with Information Bottleneck NIPS 2024
DALD: Improving Logits-based Detector without Logits from Black-box LLMs NIPS 2024
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models NIPS 2024
Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion ACL 2024
Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 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
A Survey on Detection of LLMs-Generated Content EMNLP 2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents EMNLP 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks ICLR 2024
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text ICLR 2024
Parametric Augmentation for Time Series Contrastive Learning ICLR 2024
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton ICML 2024
Pruning as a Domain-specific LLM Extractor NAACL 2024
DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering ICCV 2023
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models EMNLP 2023
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates EMNLP 2023
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars NIPS 2023
Personalized Federated Learning under Mixture of Distributions ICML 2023
Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023
MonoHuman: Animatable Human Neural Field From Monocular Video CVPR 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
InfoGCL: Information-Aware Graph Contrastive Learning NIPS 2021
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation AAAI 2021
Multi-Task Recurrent Modular Networks AAAI 2021
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling 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
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction EMNLP 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
Robust Graph Representation Learning via Neural Sparsification ICML 2020
Parameterized Explainer for Graph Neural Network NIPS 2020
Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 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