Yong Liu

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection AAAI 2026 PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination AAAI 2026 No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning ACL 2026 Beyond Itinerary Planning—A Real-World Benchmark for Multi-Turn and Tool-Using Travel Tasks ACL 2026 OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization AAAI 2026 DiningBench: A Hierarchical Multi-view Benchmark for Perception and Reasoning in the Dietary Domain ACL 2026 ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging ACL 2026 Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval AAAI 2026 Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026 LLM-Oriented Token-Adaptive Knowledge Distillation AAAI 2026 Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs AAAI 2026 MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents ACL 2026 Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes AAAI 2026 MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search ACL 2026 Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation ICCV 2025 DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving ICCV 2025 MedGCD: Generalized Category Discovery in Medical Imaging MICCAI 2025 DGM: Disentangled Generative Model for Detecting AD Individualized Pathological Changes via Pseudo-Healthy Synthesis MICCAI 2025 AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation MICCAI 2025 Action Detail Matters: Refining Video Recognition with Local Action Queries CVPR 2025 Exploring the Limitations of Mamba in COPY and CoT Reasoning EMNLP 2025 MMDocIR: Benchmarking Multimodal Retrieval for Long Documents EMNLP 2025 SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025 Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning EMNLP 2025 Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation EMNLP 2025 Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot EMNLP 2025 Flash-VStream: Efficient Real-Time Understanding for Long Video Streams ICCV 2025 InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models ICCV 2025 Ad^2mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation WACV 2025 LLaVA-KD: A Framework of Distilling Multimodal Large Language Models ICCV 2025 LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation ICCV 2025 PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution ICCV 2025 CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation ICCV 2025 Towards Improved Risk Bounds for Transductive Learning IJCAI 2025 Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization IJCAI 2025 FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting IJCAI 2025 VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering AAAI 2025 Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation AAAI 2025 IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis AAAI 2025 Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving AAAI 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025 Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning AAAI 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 Towards Reward Fairness in RLHF: From a Resource Allocation Perspective ACL 2025 The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models ACL 2025 Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger ACL 2025 Do not Abstain! Identify and Solve the Uncertainty ACL 2025 Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025 CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control ACL 2025 RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery ACL 2025 Understanding Model Ensemble in Transferable Adversarial Attack ICML 2025 Planning with Multi-Constraints via Collaborative Language Agents COLING 2025 DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making ICML 2025 MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training ICML 2025 Sundial: A Family of Highly Capable Time Series Foundation Models ICML 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning ICML 2025 Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning ICML 2025 Timer-XL: Long-Context Transformers for Unified Time Series Forecasting ICLR 2025 SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes CVPR 2025 TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation CVPR 2025 GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model CVPR 2025 HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual Perceiver CVPR 2025 REEF: Representation Encoding Fingerprints for Large Language Models ICLR 2025 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection ICLR 2025 ToolACE: Winning the Points of LLM Function Calling ICLR 2025 Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization ICLR 2025 Federated Residual Low-Rank Adaptation of Large Language Models ICLR 2025 ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2025 Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective ICLR 2025 On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning ICLR 2025 Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization ICLR 2025 ETAS: Zero-Shot Transformer Architecture Search via Network Trainability and Expressivity ACL 2024 BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays NIPS 2024 Open-Vocabulary Segmentation with Semantic-Assisted Calibration CVPR 2024 LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024 An Aggregation-Free Federated Learning for Tackling Data Heterogeneity CVPR 2024 MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024 Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection CVPR 2024 Universal Segmentation at Arbitrary Granularity with Language Instruction CVPR 2024 SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking CVPR 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ICLR 2024 Multi-Task Network Guided Multimodal Fusion for Fake News Detection ACML 2024 Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models CVPR 2024 Tuning-Free Image Customization with Image and Text Guidance ECCV 2024 OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks ECCV 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ICLR 2024 Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control ECCV 2024 Timestep-Aware Correction for Quantized Diffusion Models ECCV 2024 Multi-scale Region-aware Implicit Neural Network for Medical Images Matting MICCAI 2024 Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models MICCAI 2024 MedSynth: Leveraging Generative Model for Healthcare Data Sharing MICCAI 2024 MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification MICCAI 2024 Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning MICCAI 2024 A New Perspective to Boost Performance Fairness For Medical Federated Learning MICCAI 2024 Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024 Learning Discretized Neural Networks under Ricci Flow JMLR 2024 Concentration and Moment Inequalities for General Functions of Independent Random Variables with Heavy Tails JMLR 2024 Timer: Generative Pre-trained Transformers Are Large Time Series Models ICML 2024 Perfect Alignment May be Poisonous to Graph Contrastive Learning ICML 2024 Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses ICML 2024 Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development MICCAI 2024 UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling MICCAI 2024 Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving NIPS 2024 AutoTimes: Autoregressive Time Series Forecasters via Large Language Models NIPS 2024 Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing NIPS 2024 Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024 Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning AAAI 2024 Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding AAAI 2024 Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt AAAI 2024 A Multimodal, Multi-Task Adapting Framework for Video Action Recognition AAAI 2024 WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets AAAI 2024 High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm AAAI 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024 RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction AAAI 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024 Concentration Inequalities for General Functions of Heavy-Tailed Random Variables ICML 2024 MC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexing EMNLP 2024 Structured Optimal Brain Pruning for Large Language Models EMNLP 2024 Sentence-level Prompts Benefit Composed Image Retrieval ICLR 2024 Parameter-Efficient Conversational Recommender System as a Language Processing Task EACL 2024 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NIPS 2024 Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NIPS 2024 Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024 HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph IJCAI 2024 Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024 Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space CVPR 2023 Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors NIPS 2023 SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation NIPS 2023 Real3D-AD: A Dataset of Point Cloud Anomaly Detection NIPS 2023 SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration NIPS 2023 TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning CORL 2023 AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer AAAI 2023 Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition AAAI 2023 Next POI Recommendation with Dynamic Graph and Explicit Dependency AAAI 2023 Understanding the Generalization Performance of Spectral Clustering Algorithms AAAI 2023 MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series AAAI 2023 Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023 Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection ACML 2023 Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training CVPR 2023 Adaptive Assignment for Geometry Aware Local Feature Matching CVPR 2023 RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer CVPR 2023 Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution CVPR 2023 High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning CVPR 2023 Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023 HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023 Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning ICCV 2023 Global Knowledge Calibration for Fast Open-Vocabulary Segmentation ICCV 2023 RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction ICCV 2023 Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning ICCV 2023 Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching ICCV 2023 Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking ICCV 2023 Learning Global-aware Kernel for Image Harmonization ICCV 2023 Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning ICCV 2023 Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses ICLR 2023 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis ICLR 2023 Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023 Consistency of Multiple Kernel Clustering ICML 2023 Towards Understanding Generalization of Graph Neural Networks ICML 2023 Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel NIPS 2022 Distributed Randomized Sketching Kernel Learning AAAI 2022 Go Wider Instead of Deeper AAAI 2022 SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution AAAI 2022 Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means NIPS 2022 Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NIPS 2022 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails ICML 2022 Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm ICML 2022 CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow CVPR 2022 Class-Aware Contrastive Semi-Supervised Learning CVPR 2022 Region-Aware Face Swapping CVPR 2022 Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase CVPR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022 E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context ECCV 2022 Global Spectral Filter Memory Network for Video Object Segmentation ECCV 2022 Concurrent Adversarial Learning for Large-Batch Training ICLR 2022 High Probability Generalization Bounds with Fast Rates for Minimax Problems ICLR 2022 Learning Quality-Aware Dynamic Memory for Video Object Segmentation ECCV 2022 SoftPatch: Unsupervised Anomaly Detection with Noisy Data NIPS 2022 Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms NIPS 2022 Random Sharpness-Aware Minimization NIPS 2022 Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping ECCV 2022 Enhancing Sequential Recommendation with Graph Contrastive Learning IJCAI 2022 Ridgeless Regression with Random Features IJCAI 2022 Toward Knowledge-Enriched Conversational Recommendation Systems ACL 2022 Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022 Guide Local Feature Matching by Overlap Estimation AAAI 2022 SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud ECCV 2022 Resolution-Free Point Cloud Sampling Network with Data Distillation ECCV 2022 Learning to Train a Point Cloud Reconstruction Network without Matching ECCV 2022 History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System EMNLP 2022 CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation IJCNLP 2021 Keyword-Guided Neural Conversational Model AAAI 2021 Refined Learning Bounds for Kernel and Approximate $k$-Means NIPS 2021 Medical Image Segmentation using Squeeze-and-Expansion Transformers IJCAI 2021 CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation ACL 2021 Spatial Context-Aware Self-Attention Model for Multi-Organ Segmentation WACV 2021 FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion AAAI 2021 EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning EMNLP 2021 HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation AAAI 2021 Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation AAAI 2021 One-shot Face Reenactment Using Appearance Adaptive Normalization AAAI 2021 Sharper Generalization Bounds for Clustering ICML 2021 LogME: Practical Assessment of Pre-trained Models for Transfer Learning ICML 2021 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms ICLR 2021 RFNet: Recurrent Forward Network for Dense Point Cloud Completion ICCV 2021 Towards Sharper Generalization Bounds for Structured Prediction NIPS 2021 Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model NIPS 2021 Searching Parameterized AP Loss for Object Detection NIPS 2021 Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation NIPS 2021 Self-Supervised Monocular Depth Estimation for All Day Images Using Domain Separation ICCV 2021 A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021 Contextualized Point-of-Interest Recommendation IJCAI 2020 Towards Persona-Based Empathetic Conversational Models EMNLP 2020 Dive Deeper Into Box for Object Detection ECCV 2020 DTVNet: Dynamic Time-lapse Video Generation via Single Still Image ECCV 2020 Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation CVPR 2020 FReeNet: Multi-Identity Face Reenactment CVPR 2020 Network Representation Learning Algorithm Based on Neighborhood Influence Sequence ACML 2020 Learning Personalized Itemset Mapping for Cross-Domain Recommendation IJCAI 2020 FDN: Feature Decoupling Network for Head Pose Estimation AAAI 2020 Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose AAAI 2020 RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization AAAI 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020 Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm AAAI 2020 Diversified Interactive Recommendation with Implicit Feedback AAAI 2020 Automated Spectral Kernel Learning AAAI 2020 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 Face-to-Parameter Translation for Game Character Auto-Creation ICCV 2019 PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation IJCAI 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019 Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019 Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity IJCAI 2019 Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NIPS 2019 Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019 Multi-Class Learning: From Theory to Algorithm NIPS 2018 Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships CVPR 2018 Compact Feedforward Sequential Memory Networks for Small-footprint Keyword Spotting INTERSPEECH 2018 Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback IJCAI 2018 Fast Cross-Validation IJCAI 2018 Online Multitask Relative Similarity Learning IJCAI 2017 Large Margin Object Tracking With Circulant Feature Maps CVPR 2017 Learning User Dependencies for Recommendation IJCAI 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Exploring the Context of Locations for Personalized Location Recommendations IJCAI 2016 A Boosting Algorithm for Item Recommendation with Implicit Feedback IJCAI 2015 Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014