Yi Chang

When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents ACL 2026 Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection AAAI 2026 SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling ACL 2026 Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection AAAI 2026 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025 ContraDiff: Planning Towards High Return States via Contrastive Learning ICLR 2025 DRL: Decomposed Representation Learning for Tabular Anomaly Detection ICLR 2025 TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion CVPR 2025 Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models ICLR 2025 FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking ICLR 2025 Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis ICCV 2025 Concept Matching with Agent for Out-of-Distribution Detection AAAI 2025 SIGMA: Selective Gated Mamba for Sequential Recommendation AAAI 2025 Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025 High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation ICCV 2025 Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025 NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 Large Language Model Evaluation via Matrix Nuclear-Norm EMNLP 2025 Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025 Training-free LLM Merging for Multi-task Learning ACL 2025 StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following ACL 2025 R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning EMNLP 2025 LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning ICML 2025 MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing EMNLP 2025 Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025 Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025 Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025 Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning CVPR 2025 Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection CVPR 2025 CGMatch: A Different Perspective of Semi-supervised Learning CVPR 2025 Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow CVPR 2025 OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye Cameras CVPR 2025 PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024 EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024 The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024 Language Models can Evaluate Themselves via Probability Discrepancy ACL 2024 Fast and Adversarial Robust Kernelized SDU Learning AISTATS 2024 Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization AISTATS 2024 Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow CVPR 2024 Seeing Motion at Nighttime with an Event Camera CVPR 2024 Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework ECCV 2024 Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow ICLR 2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning ICML 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024 Double Momentum Method for Lower-Level Constrained Bilevel Optimization ICML 2024 ScreenAgent: A Vision Language Model-driven Computer Control Agent IJCAI 2024 NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli IJCAI 2024 Signed Laplacian Graph Neural Networks AAAI 2023 Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow AAAI 2023 Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow CVPR 2023 Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words CVPR 2023 Learning Generalizable Agents via Saliency-guided Features Decorrelation NIPS 2023 Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation ICCV 2023 From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal ICCV 2023 TC-DWA:Text Clustering with Dual Word-Level Augmentation AAAI 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure AAAI 2023 Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network CVPR 2022 Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis INTERSPEECH 2022 Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity CVPR 2022 FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification EMNLP 2022 Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables EMNLP 2022 A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection COLING 2022 Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal CVPR 2022 Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning IJCNLP 2022 Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NIPS 2022 Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning AACL 2022 Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation AAAI 2022 Orthogonal Graph Neural Networks AAAI 2022 Robust early-learning: Hindering the memorization of noisy labels ICLR 2021 Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation CVPR 2021 HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition EMNLP 2021 Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction EMNLP 2021 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NIPS 2020 ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction COLING 2020 A Novel Cascade Binary Tagging Framework for Relational Triple Extraction ACL 2020 Learning Signed Network Embedding via Graph Attention AAAI 2020 Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020 Attention-based Multi-level Feature Fusion for Named Entity Recognition IJCAI 2020 Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System INTERSPEECH 2019 Learning Network Embedding with Community Structural Information IJCAI 2019 Document Modeling with External Attention for Sentence Extraction ACL 2018 Target-Sensitive Memory Networks for Aspect Sentiment Classification ACL 2018 Zero-shot User Intent Detection via Capsule Neural Networks EMNLP 2018 Abstract Meaning Representation for Paraphrase Detection NAACL 2018 Transformed Low-Rank Model for Line Pattern Noise Removal ICCV 2017 Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising CVPR 2017 Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017 Learning Hostname Preference to Enhance Search Relevance IJCAI 2016 Timeline Summarization from Social Media with Life Cycle Models IJCAI 2016 Consistent Collective Matrix Completion under Joint Low Rank Structure AISTATS 2015 Iterative Viterbi A* Algorithm for K-Best Sequential Decoding ACL 2012 Learning Recurrent Event Queries for Web Search EMNLP 2010 Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking COLING 2010 Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query NAACL 2009 Empirical Exploitation of Click Data for Task Specific Ranking EMNLP 2009