Sheng Li

COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context ACL 2026 Content-Aware Dynamic Patchification for Efficient Video Diffusion CVPR 2026 Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract) AAAI 2026 Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods ACL 2026 BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing ICML 2025 Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety ICML 2025 Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning ACL 2025 Large Language Models for Causal Discovery: Current Landscape and Future Directions IJCAI 2025 Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data ICLR 2025 Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning ICLR 2025 No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users EMNLP 2025 Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling NAACL 2025 Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety CVPR 2025 Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning CVPR 2025 The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers CVPR 2025 UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models AAAI 2025 BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract) AAAI 2024 Easy Regional Contrastive Learning of Expressive Fashion Representations NeurIPS 2024 Generalizing to Unseen Domains via Text-guided Augmentation ECCV 2024 LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs AAAI 2024 Open-Set Graph Domain Adaptation via Separate Domain Alignment AAAI 2024 Tag-grounded Visual Instruction Tuning with Retrieval Augmentation EMNLP 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction AAAI 2024 Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning ICLR 2024 Better Generative Replay for Continual Federated Learning ICLR 2023 Fair Attribute Completion on Graph with Missing Attributes ICLR 2023 More Knowledge, Less Bias: Unbiasing Scene Graph Generation With Explicit Ontological Adjustment WACV 2023 Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer ICLR 2023 SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing ICLR 2023 pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting IJCAI 2023 AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition IJCAI 2022 CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization ICLR 2022 Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training NeurIPS 2022 XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract) AAAI 2022 Edge: Enriching Knowledge Graph Embeddings with External Text NAACL 2021 A Survey on Representation Learning for User Modeling IJCAI 2020 CensNet: Convolution with Edge-Node Switching in Graph Neural Networks IJCAI 2019 On the Estimation of Treatment Effect with Text Covariates IJCAI 2019 Scene Graph Generation With External Knowledge and Image Reconstruction CVPR 2019 A Review on Deep Learning Techniques Applied to Answer Selection COLING 2018 A Simple End-to-End Question Answering Model for Product Information ACL 2018 Representation Learning for Treatment Effect Estimation from Observational Data NeurIPS 2018