Yi Chang

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling ACL 2026 When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents ACL 2026 Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025 CGMatch: A Different Perspective of Semi-supervised Learning CVPR 2025 Concept Matching with Agent for Out-of-Distribution Detection AAAI 2025 Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025 Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025 Large Language Model Evaluation via Matrix Nuclear-Norm EMNLP 2025 LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning EMNLP 2025 Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025 Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis ICCV 2025 StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following ACL 2025 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning ICML 2024 EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024 Language Models can Evaluate Themselves via Probability Discrepancy ACL 2024 NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli IJCAI 2024 The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024 Learning Generalizable Agents via Saliency-guided Features Decorrelation NeurIPS 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 Signed Laplacian Graph Neural Networks AAAI 2023 TC-DWA:Text Clustering with Dual Word-Level Augmentation AAAI 2023 The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure AAAI 2023 A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection COLING 2022 Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NeurIPS 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 Orthogonal Graph Neural Networks AAAI 2022 Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning AACL 2022 HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition EMNLP 2021 A Novel Cascade Binary Tagging Framework for Relational Triple Extraction ACL 2020 Attention-based Multi-level Feature Fusion for Named Entity Recognition IJCAI 2020 Learning Signed Network Embedding via Graph Attention AAAI 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NeurIPS 2020 ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction COLING 2020 Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020 Learning Network Embedding with Community Structural Information IJCAI 2019 Timeline Summarization from Social Media with Life Cycle Models IJCAI 2016 Consistent Collective Matrix Completion under Joint Low Rank Structure AISTATS 2015