Zheng Wang

Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding AAAI 2026 Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute EACL 2026 Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026 LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding ACL 2026 D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies AAAI 2026 PMPGuard: Catching Pseudo-Matched Pairs in Remote Sensing Image–Text Retrieval AAAI 2026 Lifting Optimized Binaries to Canonical Compiler IR via Structure-Aware Retrieval and Iterative Verification ACL 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning AAAI 2026 Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning AAAI 2026 SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements AAAI 2026 Anomize: Better Open Vocabulary Video Anomaly Detection CVPR 2025 ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector CVPR 2025 AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders ICML 2025 Subjective Camera 1.0: Bridging Human Cognition and Visual Reconstruction through Sequence-Aware Sketch-Guided Diffusion ICCV 2025 Dataflow-Guided Neuro-Symbolic Language Models for Type Inference ICML 2025 Cross-Category Subjectivity Generalization for Style-Adaptive Sketch Re-ID ICCV 2025 VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence AAAI 2025 The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation AAAI 2025 TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification AAAI 2025 Language Pre-training Guided Masking Representation Learning for Time Series Classification AAAI 2025 Rethinking Cancer Gene Identification Through Graph Anomaly Analysis AAAI 2025 Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization AAAI 2025 Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks AAAI 2025 Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer AAAI 2025 ProtCLIP: Function-Informed Protein Multi-Modal Learning AAAI 2025 Pioneering Explainable Video Fact-Checking with a New Dataset and Multi-role Multimodal Model Approach AAAI 2025 WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training OSDI 2025 Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation MICCAI 2025 You Think, You ACT: The New Task of Arbitrary Text to Motion Generation ICCV 2025 LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering ACL 2025 A Survey of LLM-based Agents in Medicine: How far are we from Baymax? ACL 2025 Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning IJCAI 2025 TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection EMNLP 2025 CCIN: Compositional Conflict Identification and Neutralization for Composed Image Retrieval CVPR 2025 Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models EMNLP 2025 Synergizing Multimodal Temporal Knowledge Graphs and Large Language Models for Social Relation Recognition EMNLP 2025 Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection ICML 2025 NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval CVPR 2025 Federated Learning with Domain Shift Eraser CVPR 2025 Zero-shot Object Counting with Good Exemplars ECCV 2024 Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data ICLR 2024 GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING ICLR 2024 Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration ICML 2024 When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models ICML 2024 A3S: A General Active Clustering Method with Pairwise Constraints ICML 2024 Open-Vocabulary Video Relation Extraction AAAI 2024 Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024 PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation AAAI 2024 pyvene: A Library for Understanding and Improving PyTorch Models via Interventions NAACL 2024 M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions ACL 2024 Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback ACL 2024 ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction MICCAI 2024 Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection NIPS 2024 Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NIPS 2024 Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection IJCAI 2024 FedPFT: Federated Proxy Fine-Tuning of Foundation Models IJCAI 2024 Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction IJCAI 2024 Expressiveness is Effectiveness: Self-supervised Fashion-aware CLIP for Video-to-Shop Retrieval IJCAI 2024 ReFT: Representation Finetuning for Language Models NIPS 2024 The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NIPS 2024 IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation CVPR 2024 HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses CVPR 2024 SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement CVPR 2024 Bi-Causal: Group Activity Recognition via Bidirectional Causality CVPR 2024 Ensemble Diversity Facilitates Adversarial Transferability CVPR 2024 Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024 Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs EMNLP 2024 Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly EMNLP 2024 CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code EMNLP 2024 Meta-Learning with Adjoint Methods AISTATS 2023 From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement IJCAI 2023 Streaming Factor Trajectory Learning for Temporal Tensor Decomposition NIPS 2023 MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms OSDI 2023 HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design AAAI 2023 Scratch Each Other's Back: Incomplete Multi-Modal Brain Tumor Segmentation via Category Aware Group Self-Support Learning ICCV 2023 FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023 Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolution AAAI 2023 DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining EMNLP 2023 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023 Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes NIPS 2023 Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation ICML 2023 Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification CVPR 2023 Prototypical Residual Networks for Anomaly Detection and Localization CVPR 2023 Multilateral Semantic Relations Modeling for Image Text Retrieval CVPR 2023 Don't Ignore Alienation and Marginalization: Correlating Fraud Detection IJCAI 2023 Balanced Contrastive Learning for Long-Tailed Visual Recognition CVPR 2022 Infinite-Fidelity Coregionalization for Physical Simulation NIPS 2022 Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement AAAI 2022 ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting AAAI 2022 Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding ACL 2022 Physics Informed Deep Kernel Learning AISTATS 2022 Deep Multi-Fidelity Active Learning of High-Dimensional Outputs AISTATS 2022 Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning CVPR 2022 Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding CVPR 2022 DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation ECCV 2022 Context-Enhanced Stereo Transformer ECCV 2022 Colorization for In Situ Marine Plankton Images ECCV 2022 AutoIP: A United Framework to Integrate Physics into Gaussian Processes ICML 2022 Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes ICML 2022 Nonparametric Embeddings of Sparse High-Order Interaction Events ICML 2022 Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022 DANet: Image Deraining via Dynamic Association Learning IJCAI 2022 Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding IJCAI 2022 Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association IJCAI 2021 Federated Learning with Fair Averaging IJCAI 2021 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021 Self-Adaptable Point Processes with Nonparametric Time Decays NIPS 2021 Deep Unsupervised Anomaly Detection WACV 2021 Modularized Interaction Network for Named Entity Recognition ACL 2021 Image Inpainting Guided by Coherence Priors of Semantics and Textures CVPR 2021 Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning ACL 2021 Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning IJCNLP 2021 Modularized Interaction Network for Named Entity Recognition IJCNLP 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 Very Important Person Localization in Unconstrained Conditions: A New Benchmark AAAI 2021 Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021 Self-Modulating Nonparametric Event-Tensor Factorization ICML 2020 Towards Context-Aware Code Comment Generation EMNLP 2020 When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark IJCAI 2020 Discriminative Feature Selection via A Structured Sparse Subspace Learning Module IJCAI 2020 Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification IJCAI 2020 Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes ECCV 2020 BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NIPS 2020 Universal Weighting Metric Learning for Cross-Modal Matching CVPR 2020 Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation CVPR 2020 Scalable Nonparametric Factorization for High-Order Interaction Events AISTATS 2020 Neighborhood Matching Network for Entity Alignment ACL 2020 Streaming Nonlinear Bayesian Tensor Decomposition UAI 2020 Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract) AAAI 2020 Multi-Type Self-Attention Guided Degraded Saliency Detection AAAI 2020 Mining on Heterogeneous Manifolds for Zero-Shot Cross-Modal Image Retrieval AAAI 2020 Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval AAAI 2020 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019 Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification CVPR 2019 Composite Binary Decomposition Networks AAAI 2019 Conditional Expectation Propagation UAI 2019 Lattice CNNs for Matching Based Chinese Question Answering AAAI 2019 Jointly Learning Entity and Relation Representations for Entity Alignment EMNLP 2019 Flexible Multi-View Representation Learning for Subspace Clustering IJCAI 2019 Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs IJCAI 2019 Jointly Learning Entity and Relation Representations for Entity Alignment IJCNLP 2019 Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking IJCAI 2018 Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding ACL 2018 Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach IJCAI 2018 Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification IJCAI 2018 Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix ACL 2017 Causality Based Propagation History Ranking in Social Networks IJCAI 2016 Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface IJCAI 2016 Rank-One Matrix Pursuit for Matrix Completion ICML 2014