Wei Zhang

A Survey of Inductive Reasoning for Large Language Models ACL 2026 Hugging Visual Prompt and Segmentation Tokens: Consistency Learning for Fine-Grained Visual Understanding in MLLMs CVPR 2026 Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework ACL 2026 OptiMVMap: Offline Vectorized Map Construction via Optimal Multi-vehicle Perspectives CVPR 2026 PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination AAAI 2026 Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding AAAI 2026 TokenPowerBench: Benchmarking the Power Consumption of LLM Inference AAAI 2026 AdaDrive: Self-Adaptive Slow-Fast System for Language-Grounded Autonomous Driving ICCV 2025 Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models ICLR 2025 CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models EMNLP 2025 CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels ACL 2025 Coherency Improved Explainable Recommendation via Large Language Model AAAI 2025 Context Guided Transformer Entropy Modeling for Video Compression ICCV 2025 E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025 Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability ACL 2025 FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise ICLR 2025 General Compression Framework for Efficient Transformer Object Tracking ICCV 2025 HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models CVPR 2025 ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance ICCV 2025 LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios ACL 2025 LaneDiffusion: Improving Centerline Graph Learning via Prior Injected BEV Feature Generation ICCV 2025 MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI ICCV 2025 Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling ACL 2025 PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks EMNLP 2025 STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation AAAI 2025 Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting COLING 2025 VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous Driving ICCV 2025 VisiPruner: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs EMNLP 2025 Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024 BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models CVPR 2024 D2LLM: Decomposed and Distilled Large Language Models for Semantic Search ACL 2024 Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection CVPR 2024 DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection CVPR 2024 Dynamic Token-Pass Transformers for Semantic Segmentation WACV 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models CVPR 2024 Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction ICLR 2024 Interactive 3D Object Detection with Prompts ECCV 2024 JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation ECCV 2024 LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement AAAI 2024 LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model ECCV 2024 Multi-Task Network Guided Multimodal Fusion for Fake News Detection ACML 2024 OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework ECCV 2024 PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion ECCV 2024 PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation ECCV 2024 Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation AAAI 2024 Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024 The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models EMNLP 2024 Typos Correction Training against Misspellings from Text-to-Text Transformers COLING 2024 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation AAAI 2023 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection CVPR 2023 CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision ICCV 2023 CapDet: Unifying Dense Captioning and Open-World Detection Pretraining CVPR 2023 Data-free Knowledge Distillation for Fine-grained Visual Categorization ICCV 2023 DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment CVPR 2023 DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability ICCV 2023 Erratum to: 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation AAAI 2023 Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection ICCV 2023 GrowCLIP: Data-Aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-Training ICCV 2023 LVOS: A Benchmark for Long-term Video Object Segmentation ICCV 2023 Learning to Binarize Continuous Features for Neuro-Rule Networks IJCAI 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping NeurIPS 2023 Reading Relevant Feature from Global Representation Memory for Visual Object Tracking NeurIPS 2023 Self-Decoupling and Ensemble Distillation for Efficient Segmentation AAAI 2023 Semi-DETR: Semi-Supervised Object Detection With Detection Transformers CVPR 2023 SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning AAAI 2023 Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images ICCV 2023 Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach ICCV 2023 CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving ECCV 2022 Class-Aware Contrastive Semi-Supervised Learning CVPR 2022 Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection AAAI 2022 Compression of Generative Pre-trained Language Models via Quantization ACL 2022 DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation AAAI 2022 DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection NeurIPS 2022 Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection ECCV 2022 FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos CVPR 2022 G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks EMNLP 2022 ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation CVPR 2022 LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization AAAI 2022 Multi-Knowledge Aggregation and Transfer for Semantic Segmentation AAAI 2022 Point2Seq: Detecting 3D Objects As Sequences CVPR 2022 PointCLIP: Point Cloud Understanding by CLIP CVPR 2022 Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification ECCV 2022 Weakly-Supervised Salient Object Detection Using Point Supervision AAAI 2022 Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark NeurIPS 2022 BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021 C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing ICCV 2021 Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning AAAI 2021 Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection ICCV 2021 G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-Guided Feature Imitation ICCV 2021 Graph-Based Tri-Attention Network for Answer Ranking in CQA AAAI 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021 Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation CVPR 2021 Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract) IJCAI 2021 Points As Queries: Weakly Semi-Supervised Object Detection by Points CVPR 2021 Post-Training Quantization for Vision Transformer NeurIPS 2021 SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II ICML 2021 Scalable Rule-Based Representation Learning for Interpretable Classification NeurIPS 2021 Source-Free Domain Adaptation for Semantic Segmentation CVPR 2021 UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles CVPR 2021 Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video IJCAI 2021 Zero-Shot Adversarial Quantization CVPR 2021 CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending ECCV 2020 HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction ECCV 2020 Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning AAAI 2020 Kernel Based Progressive Distillation for Adder Neural Networks NeurIPS 2020 Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption AAAI 2020 Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets NeurIPS 2020 Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NeurIPS 2020 SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection AAAI 2020 SP-NAS: Serial-to-Parallel Backbone Search for Object Detection CVPR 2020 Segment as Points for Efficient Online Multi-Object Tracking and Segmentation ECCV 2020 TernaryBERT: Distillation-aware Ultra-low Bit BERT EMNLP 2020 Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization ICLR 2020 Transparent Classification with Multilayer Logical Perceptrons and Random Binarization AAAI 2020 ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection AAAI 2020 Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification ICCV 2019 Multi-Granular Text Encoding for Self-Explaining Categorization ACL 2019 NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning ICLR 2019 Convolutional Memory Blocks for Depth Data Representation Learning IJCAI 2018 Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering ICLR 2018 Learning Sequential Correlation for User Generated Textual Content Popularity Prediction IJCAI 2018 Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction IJCAI 2016 Model-Based Deep Hand Pose Estimation IJCAI 2016 Multiple Granularity Descriptors for Fine-Grained Categorization ICCV 2015 Prior-Based Dual Additive Latent Dirichlet Allocation for User-Item Connected Documents IJCAI 2015 Weakly Supervised Semantic Segmentation for Social Images CVPR 2015 Dimensionality Reduction with Generalized Linear Models IJCAI 2013 Integrating Semantic Relatedness and Words’ Intrinsic Features for Keyword Extraction IJCAI 2013 Multi-View Embedding Learning for Incompletely Labeled Data IJCAI 2013 Sparse Reconstruction for Weakly Supervised Semantic Segmentation IJCAI 2013