Wei Fan

LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models ACL 2026 AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora ACL 2026 iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference AAAI 2026 MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion AAAI 2026 Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding AAAI 2025 RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming IJCAI 2025 Actor-Critics Can Achieve Optimal Sample Efficiency ICML 2025 Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion IJCAI 2025 On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions EMNLP 2025 De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks ICML 2025 DRL: Decomposed Representation Learning for Tabular Anomaly Detection ICLR 2025 Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory NAACL 2025 Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining AAAI 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025 Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting IJCAI 2024 NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding EMNLP 2024 Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction EMNLP 2024 GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory EMNLP 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NIPS 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization IJCAI 2024 PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024 Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024 PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models ACL 2024 AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ACL 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization ICML 2024 Multi-step Jailbreaking Privacy Attacks on ChatGPT EMNLP 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NIPS 2023 Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NIPS 2023 Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023 Background-Mixed Augmentation for Weakly Supervised Change Detection AAAI 2023 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022 TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction EMNLP 2022 MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution WACV 2022 Feature and Instance Joint Selection: A Reinforcement Learning Perspective IJCAI 2022 U-BERT: Pre-training User Representations for Improved Recommendation AAAI 2021 Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation CVPR 2021 Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention AAAI 2021 Multiplex Graph Neural Network for Extractive Text Summarization EMNLP 2021 DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation WACV 2020 PSENet: Psoriasis Severity Evaluation Network AAAI 2020 Automatic Distractor Generation for Multiple Choice Questions in Standard Tests COLING 2020 Prophet Attention: Predicting Attention with Future Attention NIPS 2020 Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract) AAAI 2020 Object-Guided Instance Segmentation for Biological Images AAAI 2020 Shape-Aware Organ Segmentation by Predicting Signed Distance Maps AAAI 2020 Federated Learning for Vision-and-Language Grounding Problems AAAI 2020 On the Generation of Medical Question-Answer Pairs AAAI 2020 Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation WACV 2020 Entity Synonym Discovery via Multipiece Bilateral Context Matching IJCAI 2020 Joint Slot Filling and Intent Detection via Capsule Neural Networks ACL 2019 MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction IJCAI 2019 Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019 Multi-grained Named Entity Recognition ACL 2019 Cooperative Denoising for Distantly Supervised Relation Extraction COLING 2018 Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge COLING 2018 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NIPS 2014 Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification CVPR 2014 Rank-One Matrix Pursuit for Matrix Completion ICML 2014 A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models ICML 2014 Joint Transfer and Batch-mode Active Learning ICML 2013 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009