Yang Zhang

Right Branches Matter in Failure-based Variable Ordering Heuristics AAAI 2026 SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability AAAI 2026 DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing ACL 2026 Open Schrödinger’s Closed Box: Identifying Retrieval Augmented Generation in API-Accessible Large Language Model Services ACL 2026 OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory ACL 2026 Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning EACL 2026 A Reinforcement Learning Framework for Robust and Secure LLM Watermarking EACL 2026 Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy AAAI 2026 Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026 Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation AAAI 2026 Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts ACL 2026 Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs ACL 2026 Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026 Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models EACL 2026 The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning EACL 2026 UniToolBench: A Benchmark for Tool-Augmented LLMs in Cross-Domain, Universal Task Automation EACL 2026 Scene Experts: Specializing in 3D Gaussian Splatting with Adaptive Decomposition AAAI 2026 SAME: Spatial-Aware Multimodal Egocentric Human Pose Estimation AAAI 2026 Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs AAAI 2026 UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge AAAI 2026 QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026 Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training AAAI 2026 HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy ACL 2026 Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text ACL 2026 Tailored Primitive Initialization is the Secret Key to Reinforcement Learning ACL 2026 Pre-Trained Video Generative Models as World Simulators AAAI 2026 SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation ICLR 2025 Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning ICML 2025 CommVQ: Commutative Vector Quantization for KV Cache Compression ICML 2025 Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner ICML 2025 A Hitchhiker’s Guide to Scaling Law Estimation ICML 2025 CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance ICML 2025 Contrastive Forward Prediction Reinforcement Learning for Adaptive Fault-Tolerant Legged Robots CORL 2025 EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs AAAI 2025 DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes AAAI 2025 VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things AAAI 2025 Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation AAAI 2025 SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis AAAI 2025 Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing AACL 2025 When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs ACL 2025 JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs ACL 2025 Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media ACL 2025 A Self-Denoising Model for Robust Few-Shot Relation Extraction ACL 2025 Online Iterative Self-Alignment for Radiology Report Generation ACL 2025 Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration ACL 2025 K-order Ranking Preference Optimization for Large Language Models ACL 2025 Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation ACL 2025 Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning ACL 2025 Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization ACL 2025 PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play ACL 2025 CLIP-Fusion: A Spatio-Temporal Quality Metric for Frame Interpolation WACV 2025 Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production NSDI 2025 Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image Compression CVPR 2025 Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools NAACL 2025 A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation NAACL 2025 Automated Characterization of Myocardial Scar Topological Patterns for Ventricular Tachycardia Screening MICCAI 2025 Latent Inter-User Difference Modeling for LLM Personalization EMNLP 2025 Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification EMNLP 2025 Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation EMNLP 2025 Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion EMNLP 2025 Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing IJCNLP 2025 A Multimodal AI Dialogue System for Unified Document, Visual, and Audio Interaction IJCAI 2025 Bidirectional Human–AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning IJCAI 2025 Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models IJCAI 2025 Anti-Tamper Protection for Unauthorized Individual Image Generation ICCV 2025 LDIP: Long Distance Information Propagation for Video Super-Resolution ICCV 2025 VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs ICCV 2025 Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation ICCV 2025 LOTA: Bit-Planes Guided AI-Generated Image Detection ICCV 2025 Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions ICCV 2025 Event-guided HDR Reconstruction with Diffusion Priors ICCV 2025 Agreement aware and dissimilarity oriented GLOM ICCV 2025 Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning IJCAI 2025 AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N ICML 2025 The Ripple Effect: On Unforeseen Complications of Backdoor Attacks ICML 2025 Online Preference Alignment for Language Models via Count-based Exploration ICLR 2025 Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning ICLR 2025 DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance ICLR 2025 Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming ICLR 2025 Minimalist Concept Erasure in Generative Models ICML 2025 Are LLM-based Evaluators Confusing NLG Quality Criteria? ACL 2024 Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments ACL 2024 Fair Federated Learning with Biased Vision-Language Models ACL 2024 Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction ACL 2024 Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024 Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation NAACL 2024 Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models NAACL 2024 HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion NIPS 2024 PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling EMNLP 2024 Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024 Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective EMNLP 2024 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024 ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities EMNLP 2024 Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks EMNLP 2024 The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective EMNLP 2024 Text-like Encoding of Collaborative Information in Large Language Models for Recommendation ACL 2024 Polyper: Boundary Sensitive Polyp Segmentation AAAI 2024 Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis AAAI 2024 MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning NIPS 2024 The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline ICML 2024 Accurate LoRA-Finetuning Quantization of LLMs via Information Retention ICML 2024 Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling ICML 2024 Speech Self-Supervised Learning Using Diffusion Model Synthetic Data ICML 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NIPS 2024 Learning Distinguishable Trajectory Representation with Contrastive Loss NIPS 2024 Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering EMNLP 2024 Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models WACV 2024 Investigating Layer Importance in Large Language Models EMNLP 2024 LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NIPS 2024 ProgressGym: Alignment with a Millennium of Moral Progress NIPS 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024 Correcting Diffusion Generation through Resampling CVPR 2024 APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation CVPR 2024 HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations CVPR 2024 Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning ICML 2024 Continual Compositional Zero-Shot Learning IJCAI 2024 EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction ICML 2024 TimeCraft: Navigate Weakly-Supervised Temporal Grounded Video Question Answering via Bi-directional Reasoning ECCV 2024 CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing ECCV 2024 Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models ECCV 2024 Composite Backdoor Attacks Against Large Language Models NAACL 2024 NL2TL: Transforming Natural Languages to Temporal Logics using Large Language Models EMNLP 2023 Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation AAAI 2023 Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network AAAI 2023 A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification AAAI 2023 MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning ACL 2023 NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models ACL 2023 SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency CVPR 2023 Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models CVPR 2023 Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders CVPR 2023 Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis ICCV 2023 TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization ICLR 2023 Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR 2023 PromptBoosting: Black-Box Text Classification with Ten Forward Passes ICML 2023 Generated Graph Detection ICML 2023 Data Poisoning Attacks Against Multimodal Encoders ICML 2023 Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning ICML 2023 Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models ICML 2023 On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition IJCAI 2023 Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer IJCAI 2023 On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach IJCAI 2023 Unifying Margin-Based Softmax Losses in Face Recognition WACV 2023 DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings NAACL 2022 Amplifying Membership Exposure via Data Poisoning NIPS 2022 Exploring Timbre Disentanglement in Non-Autoregressive Cross-Lingual Text-to-Speech INTERSPEECH 2022 WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models INTERSPEECH 2022 Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization INTERSPEECH 2022 Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition INTERSPEECH 2022 MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification INTERSPEECH 2022 Data-Efficient Double-Win Lottery Tickets from Robust Pre-training ICML 2022 BiFSMN: Binary Neural Network for Keyword Spotting IJCAI 2022 On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks IJCAI 2022 Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection IJCAI 2022 ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers ICML 2022 Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing NIPS 2022 Fairness Reprogramming NIPS 2022 An Adversarial Framework for Generating Unseen Images by Activation Maximization AAAI 2022 TempFormer: Temporally Consistent Transformer for Video Denoising ECCV 2022 Linking Emergent and Natural Languages via Corpus Transfer ICLR 2022 Adversarial Support Alignment ICLR 2022 Semi-Leak: Membership Inference Attacks against Semi-Supervised Learning ECCV 2022 Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021 User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021 Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks NIPS 2021 Understanding Interlocking Dynamics of Cooperative Rationalization NIPS 2021 A General Recurrent Tracking Framework Without Real Data ICCV 2021 SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam ICCV 2021 Frustratingly Simple Few-Shot Slot Tagging IJCNLP 2021 Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding INTERSPEECH 2021 Speech Denoising with Auditory Models INTERSPEECH 2021 Hi-Fi Multi-Speaker English TTS Dataset INTERSPEECH 2021 Voting for the Right Answer: Adversarial Defense for Speaker Verification INTERSPEECH 2021 NeMo Inverse Text Normalization: From Development to Production INTERSPEECH 2021 NeMo (Inverse) Text Normalization: From Development to Production INTERSPEECH 2021 The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021 Panoptic-PolarNet: Proposal-Free LiDAR Point Cloud Panoptic Segmentation CVPR 2021 Frustratingly Simple Few-Shot Slot Tagging ACL 2021 Coordination Between Individual Agents in Multi-Agent Reinforcement Learning AAAI 2021 PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition NIPS 2021 BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NIPS 2021 Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information NIPS 2021 Global Prosody Style Transfer Without Text Transcriptions ICML 2021 Unsupervised Speech Decomposition via Triple Information Bottleneck ICML 2020 Deep Symbolic Superoptimization Without Human Knowledge ICLR 2020 FASTMATCH: Accelerating the Inference of BERT-based Text Matching COLING 2020 Dual Attention Model for Citation Recommendation COLING 2020 SQL Generation via Machine Reading Comprehension COLING 2020 Invariant Rationalization ICML 2020 The Lottery Ticket Hypothesis for Pre-trained BERT Networks NIPS 2020 Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention AAAI 2020 AntMan: Dynamic Scaling on GPU Clusters for Deep Learning OSDI 2020 BioMegatron: Larger Biomedical Domain Language Model EMNLP 2020 Mention Extraction and Linking for SQL Query Generation EMNLP 2020 Copy and Paste GAN: Face Hallucination From Shaded Thumbnails CVPR 2020 PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation CVPR 2020 Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control IJCNLP 2019 Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019 Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data ICCV 2019 CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild ICLR 2019 A Game Theoretic Approach to Class-wise Selective Rationalization NIPS 2019 AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss ICML 2019 Fairwalk: Towards Fair Graph Embedding IJCAI 2019 VAE-Based Regularization for Deep Speaker Embedding INTERSPEECH 2019 Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification COLING 2018 LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition INTERSPEECH 2018 A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations ICML 2018 Speech Enhancement Using Bayesian Wavenet INTERSPEECH 2017 Dilated Recurrent Neural Networks NIPS 2017 Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes ICCV 2017 Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association EMNLP 2017 Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays INTERSPEECH 2017 Fast Zero-Shot Image Tagging CVPR 2016 Clustering Sentences with Density Peaks for Multi-document Summarization NAACL 2015 Extracting More Concurrency from Distributed Transactions OSDI 2014 Scene Text Recognition Using Part-Based Tree-Structured Character Detection CVPR 2013 Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis AISTATS 2012 Why Press Backspace? Understanding User Input Behaviors in Chinese Pinyin Input Method ACL 2011 Decision Tree for Dynamic and Uncertain Data Streams ACML 2010 Exploring Distributional Similarity Based Models for Query Spelling Correction ACL 2006 Exploring Distributional Similarity Based Models for Query Spelling Correction COLING 2006