Cheng Deng

Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models AAAI 2026 Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models ACL 2026 VisPCO: Visual Token Pruning Configuration Optimization via Budget-Aware Pareto-Frontier Learning for Vision-Language Models ACL 2026 Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression ACL 2026 Backtrace Mamba: Reviving Critical Temporal Contexts via Hierarchical Memory Compression for Online Action Detection AAAI 2026 Semantically Comprehensive Token Pruning in LVLMs via Maximizing Concept Coverage ACL 2026 Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025 VGMamba: Attribute-to-Location Clue Reasoning for Quantity-Agnostic 3D Visual Grounding ICCV 2025 Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection CVPR 2025 Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning WACV 2025 Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation IJCAI 2025 Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization ICLR 2025 CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement ICLR 2025 NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens ICLR 2025 Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding CVPR 2025 In-context Learning Demonstration Generation with Text Distillation IJCAI 2025 Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World AAAI 2025 Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 Outstanding Orthodontist: No More Artifactual Teeth in Talking Face IJCAI 2025 Vision-Language Interactive Relation Mining for Open-Vocabulary Scene Graph Generation ICCV 2025 A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024 Robust Noisy Correspondence Learning with Equivariant Similarity Consistency CVPR 2024 ACFun: Abstract-Concrete Fusion Facial Stylization NIPS 2024 Navigating Continual Test-time Adaptation with Symbiosis Knowledge IJCAI 2024 Retrieval Across Any Domains via Large-scale Pre-trained Model ICML 2024 DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning ICML 2024 Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects ICLR 2024 Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval AAAI 2024 Dynamic Reactive Spiking Graph Neural Network AAAI 2024 Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization ACL 2024 LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures ACL 2024 Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation CVPR 2024 Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024 Hierarchical Prompt Learning for Compositional Zero-Shot Recognition IJCAI 2023 Similarity Distribution Based Membership Inference Attack on Person Re-identification AAAI 2023 Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery CVPR 2023 Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder CVPR 2023 Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus EMNLP 2023 Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation ICCV 2023 Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects ICCV 2023 Exploring Safety Supervision for Continual Test-time Domain Adaptation IJCAI 2023 Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery CVPR 2022 RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning NIPS 2022 Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning CVPR 2022 MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning NIPS 2022 Attention-guided Contrastive Hashing for Long-tailed Image Retrieval IJCAI 2022 Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency CVPR 2022 Mutual Quantization for Cross-Modal Search With Noisy Labels CVPR 2022 Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation CVPR 2022 Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning CVPR 2022 Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval IJCAI 2021 Unsupervised Hyperbolic Metric Learning CVPR 2021 Generalized Zero-Shot Learning via Disentangled Representation AAAI 2021 Class-Incremental Instance Segmentation via Multi-Teacher Networks AAAI 2021 Incremental Embedding Learning via Zero-Shot Translation AAAI 2021 Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating AAAI 2021 Adversarial Attack on Deep Cross-Modal Hamming Retrieval ICCV 2021 Nearest Neighbor Matching for Deep Clustering CVPR 2021 Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement NIPS 2021 SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network CVPR 2021 Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity JMLR 2021 Graph Debiased Contrastive Learning with Joint Representation Clustering IJCAI 2021 Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation CVPR 2020 Learning Unseen Concepts via Hierarchical Decomposition and Composition CVPR 2020 Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies NIPS 2020 Adversarial Learning for Robust Deep Clustering NIPS 2020 Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries AAAI 2020 Lifelong Zero-Shot Learning IJCAI 2020 A Unified q-Memorization Framework for Asynchronous Stochastic Optimization JMLR 2020 Towards Transferable Targeted Attack CVPR 2020 Projection & Probability-Driven Black-Box Attack CVPR 2020 Multi-Scale Fusion Subspace Clustering Using Similarity Constraint CVPR 2020 Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval AAAI 2019 Balanced Self-Paced Learning for Generative Adversarial Clustering Network CVPR 2019 Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification AAAI 2019 Graph Convolutional Network Hashing for Cross-Modal Retrieval IJCAI 2019 Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss IJCAI 2019 Hypergraph Induced Convolutional Manifold Networks IJCAI 2019 Zero-shot Metric Learning IJCAI 2019 Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training CVPR 2019 DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019 Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees AAAI 2019 Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019 Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition ICCV 2019 Towards Visual Feature Translation CVPR 2019 Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019 Deep Spectral Clustering Using Dual Autoencoder Network CVPR 2019 Deep Asymmetric Metric Learning via Rich Relationship Mining CVPR 2019 Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query ICCV 2019 Cross-Modal Learning with Adversarial Samples NIPS 2019 Direct Shape Regression Networks for End-to-End Face Alignment CVPR 2018 Semantic Structure-based Unsupervised Deep Hashing IJCAI 2018 Deep View-Aware Metric Learning for Person Re-Identification IJCAI 2018 Bilevel Distance Metric Learning for Robust Image Recognition NIPS 2018 Unsupervised Deep Generative Adversarial Hashing Network CVPR 2018 Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval CVPR 2018 Multi-Level Metric Learning via Smoothed Wasserstein Distance IJCAI 2018 Deep Joint Semantic-Embedding Hashing IJCAI 2018 Complementary Binary Quantization for Joint Multiple Indexing IJCAI 2018 Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines ICML 2018 Learning A Structured Optimal Bipartite Graph for Co-Clustering NIPS 2017 Group Sparse Additive Machine NIPS 2017 Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization ICCV 2017 Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning IJCAI 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017 Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017 How Unlabeled Web Videos Help Complex Event Detection? IJCAI 2017 Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval IJCAI 2016 Multilinear Hyperplane Hashing CVPR 2016 Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information IJCAI 2015 Multi-View Complementary Hash Tables for Nearest Neighbor Search ICCV 2015 Collaborative Hashing CVPR 2014 Visual Reranking through Weakly Supervised Multi-graph Learning ICCV 2013