Zhenguo Li

Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views AAAI 2026 MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes WACV 2026 Implicit Search via Discrete Diffusion: A Study on Chess ICLR 2025 G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model ICLR 2025 Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data ICLR 2025 Improved Diffusion-based Generative Model with Better Adversarial Robustness ICLR 2025 Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration ICLR 2025 Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data NAACL 2025 CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search ICLR 2025 How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs ACL 2025 DAPE V2: Process Attention Score as Feature Map for Length Extrapolation ACL 2025 T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation CVPR 2025 Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment ACL 2025 SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator ICML 2025 ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis ICML 2025 LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation ICCV 2025 Adding Additional Control to One-Step Diffusion with Joint Distribution Matching ICCV 2025 QuickLLaMA: Query-aware Inference Acceleration for Large Language Models COLING 2025 MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control ICCV 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025 Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases WACV 2025 Self-Adjust Softmax EMNLP 2025 Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025 Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism EMNLP 2025 How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training ACL 2025 Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding ICLR 2025 Jailbreaking as a Reward Misspecification Problem ICLR 2025 Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning ICLR 2025 MagicDrive: Street View Generation with Diverse 3D Geometry Control ICLR 2024 Efficient Transferability Assessment for Selection of Pre-Trained Detectors WACV 2024 "Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation" ECCV 2024 Implicit Concept Removal of Diffusion Models ECCV 2024 PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation ECCV 2024 Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation ECCV 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation NIPS 2024 Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model NIPS 2024 Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NIPS 2024 Proving Theorems Recursively NIPS 2024 Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models NIPS 2024 GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing NIPS 2024 DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving AAAI 2024 Forward-Backward Reasoning in Large Language Models for Mathematical Verification ACL 2024 GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation ICLR 2024 Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis ICLR 2024 PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis ICLR 2024 MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data ICLR 2024 LEGO-Prover: Neural Theorem Proving with Growing Libraries ICLR 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models ICLR 2024 Large Language Models as Automated Aligners for benchmarking Vision-Language Models ICLR 2024 ATG: Benchmarking Automated Theorem Generation for Generative Language Models NAACL 2024 The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling ICML 2024 DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection CVPR 2024 Accelerating Diffusion Sampling with Optimized Time Steps CVPR 2024 DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs CVPR 2024 Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts ICLR 2023 Breaking Correlation Shift via Conditional Invariant Regularizer ICLR 2023 CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving ICLR 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models NIPS 2023 Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models NIPS 2023 DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning ICCV 2023 DiffComplete: Diffusion-based Generative 3D Shape Completion NIPS 2023 DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation NIPS 2023 DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function ACL 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023 DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization AAAI 2023 Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization ICML 2023 T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation NIPS 2023 UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation ICCV 2023 DDP: Diffusion Model for Dense Visual Prediction ICCV 2023 MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ICCV 2023 Beyond One-to-One: Rethinking the Referring Image Segmentation ICCV 2023 Mixed Autoencoder for Self-Supervised Visual Representation Learning CVPR 2023 DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment CVPR 2023 ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning CVPR 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling NIPS 2023 Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning ICLR 2023 AutoBERT-Zero: Evolving BERT Backbone from Scratch AAAI 2022 DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection NIPS 2022 Understanding Square Loss in Training Overparametrized Neural Network Classifiers NIPS 2022 CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds NIPS 2022 ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization NIPS 2022 Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing AAAI 2022 Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search CVPR 2022 ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation CVPR 2022 Long-Tail Recognition via Compositional Knowledge Transfer CVPR 2022 Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes CVPR 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022 PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework CVPR 2022 Generative Negative Text Replay for Continual Vision-Language Pretraining ECCV 2022 CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving ECCV 2022 DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction ECCV 2022 Nonlinear ICA Using Volume-Preserving Transformations ICLR 2022 On Redundancy and Diversity in Cell-based Neural Architecture Search ICLR 2022 Generalizing Few-Shot NAS with Gradient Matching ICLR 2022 FILIP: Fine-grained Interactive Language-Image Pre-Training ICLR 2022 How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 Rethinking Adversarial Transferability from a Data Distribution Perspective ICLR 2022 Memory Replay with Data Compression for Continual Learning ICLR 2022 Revisiting Over-smoothing in BERT from the Perspective of Graph ICLR 2022 Towards Understanding the Generative Capability of Adversarially Robust Classifiers ICCV 2021 iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder NIPS 2021 OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NIPS 2021 MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021 DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021 Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation AAAI 2021 How to Save your Annotation Cost for Panoptic Segmentation? AAAI 2021 MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps NIPS 2021 On Effective Scheduling of Model-based Reinforcement Learning NIPS 2021 Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation CVPR 2021 Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search ICLR 2021 SparseBERT: Rethinking the Importance Analysis in Self-attention ICML 2021 DetCo: Unsupervised Contrastive Learning for Object Detection ICCV 2021 Towards a Theoretical Framework of Out-of-Distribution Generalization NIPS 2021 NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization ICCV 2021 ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning CVPR 2021 Transformation Invariant Few-Shot Object Detection CVPR 2021 TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search CVPR 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 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 Adversarial Invariant Learning CVPR 2021 NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models ICCV 2021 MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving ICCV 2021 Adversarial Robustness for Unsupervised Domain Adaptation ICCV 2021 Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020 CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search ECCV 2020 CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending ECCV 2020 AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling ECCV 2020 DropNAS: Grouped Operation Dropout for Differentiable Architecture Search IJCAI 2020 Locally Differentially Private (Contextual) Bandits Learning NIPS 2020 Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS NIPS 2020 SP-NAS: Serial-to-Parallel Backbone Search for Object Detection CVPR 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection AAAI 2020 Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN AAAI 2020 EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement AAAI 2020 New Interpretations of Normalization Methods in Deep Learning AAAI 2020 Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020 Meta Reinforcement Learning with Task Embedding and Shared Policy IJCAI 2019 Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection CVPR 2019 Spatial-Aware Graph Relation Network for Large-Scale Object Detection CVPR 2019 Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification ICCV 2019 DeepFM: A Factorization-Machine based Neural Network for CTR Prediction IJCAI 2017 New Insights Into Laplacian Similarity Search CVPR 2015 Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014 Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013 A Bayesian Approach to Multimodal Visual Dictionary Learning CVPR 2013 Learning with Partially Absorbing Random Walks NIPS 2012 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009