Wei Cheng

Bootstrapping Code Translation with Weighted Multilanguage Exploration ACL 2026 Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning 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 Uncertainty-Aware Test-Time Search for Optimization Problem Solving ACL 2026 Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement EACL 2026 DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router EACL 2026 Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards ACL 2026 F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI ICLR 2025 Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search ICLR 2025 Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors ICLR 2025 SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025 Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025 MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 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 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 MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D CVPR 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 Pruning as a Domain-specific LLM Extractor NAACL 2024 Protecting Your LLMs with Information Bottleneck NIPS 2024 TrustAgent: Towards Safe and Trustworthy LLM-based Agents EMNLP 2024 DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton ICML 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NIPS 2024 Parametric Augmentation for Time Series Contrastive Learning ICLR 2024 DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text ICLR 2024 MeshXL: Neural Coordinate Field for Generative 3D Foundation Models NIPS 2024 Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024 Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks ICLR 2024 Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt EMNLP 2024 Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion ACL 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 DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering ICCV 2023 RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars NIPS 2023 Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 MonoHuman: Animatable Human Neural Field From Monocular Video CVPR 2023 Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models EMNLP 2023 Open-ended Commonsense Reasoning with Unrestricted Answer Candidates EMNLP 2023 Personalized Federated Learning under Mixture of Distributions ICML 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 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021 InfoGCL: Information-Aware Graph Contrastive Learning NIPS 2021 Unsupervised Concept Representation Learning for Length-Varying Text Similarity NAACL 2021 Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction EMNLP 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 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 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 Parameterized Explainer for Graph Neural Network NIPS 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs IJCAI 2019 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019 Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection ICLR 2018 De-biasing Covariance-Regularized Discriminant Analysis IJCAI 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