← Authors

Zhenguo Li

151 papers · 2009–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (23) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (17) 🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (26) 🧬 Topic Evolution 🀝 Dynamic Duo (45) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (30) πŸ”¬ Deep Specialist (20) πŸ† Keyword Champion (2) ❓ The Questioner (3) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (150) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (490) ⚑ Prolific Year (22)

Conferences

CVPR (30) ICLR (30) NIPS (26) ICCV (17) AAAI (15) ECCV (10) ACL (6) ICML (5) EMNLP (3) IJCAI (3) WACV (3) NAACL (2) COLING (1)

Top co-authors

Hang Xu (45) Lanqing Hong (38) Xiaodan Liang (30) Enze Xie (18) Kai Chen (17) Han Shi (16) Jiacheng Sun (14) Wei Zhang (12) Lewei Yao (12) Xin Jiang (11)

Research topics

Differential Privacy (1) Optimization & Theory (1)

Keywords

object detection (14) neural architecture search (12) transfer learning (11) image generation (10) diffusion model (9) out-of-distribution generalization (8) large language model (8) contrastive learning (6) knowledge distillation (6) generative model (6) representation learning (6) domain generalization (6) autonomous driving (5) transformer architecture (5) neural network optimization (5) attention mechanism (5) 3d object detection (5) lossless compression (5) distribution shift (4) domain adaptation (4)

Papers

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