We stand with Ukraine

We stand with Ukraine

Zhenguo Li

Orcid: 0000-0002-8492-3069

According to our database¹, Zhenguo Li authored at least 264 papers between 2003 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

ZooKT: Task-adaptive knowledge transfer of Model Zoo for few-shot learning.

[BibT_eX]

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Pattern Recognit., 2025

2024

DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model.

[BibT_eX]

[DOI]

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Kwan-Yee K. Wong

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Hengshuang Zhao

IEEE Robotics Autom. Lett., October, 2024

Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors.

[BibT_eX]

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IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Contextualizing Meta-Learning via Learning to Decompose.

[BibT_eX]

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IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Lyra: Orchestrating Dual Correction in Automated Theorem Proving.

[BibT_eX]

[DOI]

Chuanyang Zheng

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Trans. Mach. Learn. Res., 2024

Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration.

[BibT_eX]

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CoRR, 2024

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning.

[BibT_eX]

[DOI]

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CoRR, 2024

How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs.

[BibT_eX]

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CoRR, 2024

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation.

[BibT_eX]

[DOI]

Chuanyang Zheng

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CoRR, 2024

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding.

[BibT_eX]

[DOI]

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CoRR, 2024

CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration.

[BibT_eX]

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CoRR, 2024

T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation.

[BibT_eX]

[DOI]

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CoRR, 2024

GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing.

[BibT_eX]

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CoRR, 2024

Jailbreaking as a Reward Misspecification Problem.

[BibT_eX]

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CoRR, 2024

QuickLLaMA: Query-aware Inference Acceleration for Large Language Models.

[BibT_eX]

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CoRR, 2024

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data.

[BibT_eX]

[DOI]

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CoRR, 2024

Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model.

[BibT_eX]

[DOI]

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CoRR, 2024

Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion.

[BibT_eX]

[DOI]

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CoRR, 2024

Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation.

[BibT_eX]

[DOI]

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Zhongwang Zhang

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Zhi-Qin John Xu

CoRR, 2024

CAPE: Context-Adaptive Positional Encoding for Length Extrapolation.

[BibT_eX]

[DOI]

Chuanyang Zheng

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CoRR, 2024

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes.

[BibT_eX]

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CoRR, 2024

Proving Theorems Recursively.

[BibT_eX]

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CoRR, 2024

DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis.

[BibT_eX]

[DOI]

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CoRR, 2024

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.

[BibT_eX]

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CoRR, 2024

Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases.

[BibT_eX]

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CoRR, 2024

DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving.

[BibT_eX]

[DOI]

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CoRR, 2024

CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs.

[BibT_eX]

[DOI]

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CoRR, 2024

Editing Massive Concepts in Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

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CoRR, 2024

On the Expressive Power of a Variant of the Looped Transformer.

[BibT_eX]

[DOI]

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Chuanyang Zheng

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CoRR, 2024

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models.

[BibT_eX]

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CoRR, 2024

Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation.

[BibT_eX]

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CoRR, 2024

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects.

[BibT_eX]

[DOI]

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CoRR, 2024

PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models.

[BibT_eX]

[DOI]

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CoRR, 2024

Efficient Transferability Assessment for Selection of Pre-trained Detectors.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ATG: Benchmarking Automated Theorem Generation for Generative Language Models.

[BibT_eX]

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

A High Linearity ADC Front-End Circuit for Single-Ended Inputs.

[BibT_eX]

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Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

A 3-MHz-3-GHz 8-Phase Reset-Free Anti-Harmonic Delay-Locked Loop Using Phase Difference Composition in 65-nm CMOS.

[BibT_eX]

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Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

A Floating-Ring Hybrid Amplifier Insensitive to PVT and Common-mode Variation without CMFB for High-Speed ADCs.

[BibT_eX]

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling.

[BibT_eX]

[DOI]

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Kenji Kawaguchi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

[BibT_eX]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

LEGO-Prover: Neural Theorem Proving with Growing Libraries.

[BibT_eX]

[DOI]

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Chuanyang Zheng

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models as Automated Aligners for benchmarking Vision-Language Models.

[BibT_eX]

[DOI]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data.

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

[BibT_eX]

[DOI]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation.

[BibT_eX]

[DOI]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

[BibT_eX]

[DOI]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

MagicDrive: Street View Generation with Diverse 3D Geometry Control.

[BibT_eX]

[DOI]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation.

[BibT_eX]

[DOI]

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Matthias Nießner

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Proceedings of the Computer Vision - ECCV 2024, 2024

Implicit Concept Removal of Diffusion Models.

[BibT_eX]

[DOI]

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Proceedings of the Computer Vision - ECCV 2024, 2024

Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation.

[BibT_eX]

[DOI]

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Proceedings of the Computer Vision - ECCV 2024, 2024

PIXART-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

[BibT_eX]

[DOI]

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Proceedings of the Computer Vision - ECCV 2024, 2024

CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Accelerating Diffusion Sampling with Optimized Time Steps.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing the Power of OOD Detection via Sample-Aware Model Selection.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Forward-Backward Reasoning in Large Language Models for Mathematical Verification.

[BibT_eX]

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics, 2024

DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AIM: Automatic Interaction Machine for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

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IEEE Trans. Knowl. Data Eng., April, 2023

A non-pipelined ADC with a G<sub>M</sub>-R amplifier.

[BibT_eX]

[DOI]

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Microelectron. J., 2023

SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields.

[BibT_eX]

[DOI]

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CoRR, 2023

A Survey of Reasoning with Foundation Models.

[BibT_eX]

[DOI]

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Chuanyang Zheng

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CoRR, 2023

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.

[BibT_eX]

[DOI]

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CoRR, 2023

Drag-A-Video: Non-rigid Video Editing with Point-based Interaction.

[BibT_eX]

[DOI]

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CoRR, 2023

Animate124: Animating One Image to 4D Dynamic Scene.

[BibT_eX]

[DOI]

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CoRR, 2023

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

[BibT_eX]

[DOI]

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CoRR, 2023

Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts.

[BibT_eX]

[DOI]

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CoRR, 2023

Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models.

[BibT_eX]

[DOI]

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CoRR, 2023

Effective and Parameter-Efficient Reusing Fine-Tuned Models.

[BibT_eX]

[DOI]

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CoRR, 2023

LEGO-Prover: Neural Theorem Proving with Growing Libraries.

[BibT_eX]

[DOI]

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Chuanyang Zheng

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CoRR, 2023

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

[BibT_eX]

[DOI]

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CoRR, 2023

Forward-Backward Reasoning in Large Language Models for Verification.

[BibT_eX]

[DOI]

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CoRR, 2023

A Causal Framework to Unify Common Domain Generalization Approaches.

[BibT_eX]

[DOI]

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Yongxiang Huang

CoRR, 2023

DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks.

[BibT_eX]

[DOI]

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CoRR, 2023

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.

[BibT_eX]

[DOI]

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Matthias Nießner

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CoRR, 2023

Training Energy-Based Models with Diffusion Contrastive Divergences.

[BibT_eX]

[DOI]

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CoRR, 2023

Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt.

[BibT_eX]

[DOI]

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CoRR, 2023

On the Generalization of Diffusion Model.

[BibT_eX]

[DOI]

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CoRR, 2023

ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.

[BibT_eX]

[DOI]

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CoRR, 2023

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts.

[BibT_eX]

[DOI]

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CoRR, 2023

Boosting Visual-Language Models by Exploiting Hard Samples.

[BibT_eX]

[DOI]

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CoRR, 2023

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.

[BibT_eX]

[DOI]

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CoRR, 2023

Progressive-Hint Prompting Improves Reasoning in Large Language Models.

[BibT_eX]

[DOI]

Chuanyang Zheng

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CoRR, 2023

Entity-Level Text-Guided Image Manipulation.

[BibT_eX]

[DOI]

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CoRR, 2023

Data-free Knowledge Distillation for Reusing Recommendation Models.

[BibT_eX]

[DOI]

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Proceedings of the 17th ACM Conference on Recommender Systems, 2023

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction.

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[DOI]

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Proceedings of the 17th ACM Conference on Recommender Systems, 2023

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.

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[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation.

[BibT_eX]

[DOI]

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Matthias Nießner

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complexity Matters: Rethinking the Latent Space for Generative Modeling.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffComplete: Diffusion-based Generative 3D Shape Completion.

[BibT_eX]

[DOI]

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Matthias Nießner

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization.

[BibT_eX]

[DOI]

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Proceedings of the International Conference on Machine Learning, 2023

Breaking Correlation Shift via Conditional Invariant Regularizer.

[BibT_eX]

[DOI]

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts.

[BibT_eX]

[DOI]

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DDP: Diffusion Model for Dense Visual Prediction.

[BibT_eX]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Beyond One-to-One: Rethinking the Referring Image Segmentation.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mixed Autoencoder for Self-Supervised Visual Representation Learning.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization.

[BibT_eX]

[DOI]

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Proceedings of the 34th British Machine Vision Conference 2023, 2023

DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function.

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fair-CDA: Continuous and Directional Augmentation for Group Fairness.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization.

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[DOI]

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.

[BibT_eX]

[DOI]

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Trans. Mach. Learn. Res., 2022

AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction.

[BibT_eX]

[DOI]

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Stefanos Zafeiriou

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IEEE Trans. Knowl. Data Eng., 2022

Research on Tunnel Construction Monitoring Method Based on 3D Laser Scanning Technology.

[BibT_eX]

[DOI]

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Symmetry, 2022

A constant charging-current relaxation oscillator with a duty-cycled main comparator and an adaptive auxiliary comparator.

[BibT_eX]

[DOI]

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Microelectron. J., 2022

The Chinese system of government relief supplies: from the perspective of knowledge management.

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J. Knowl. Manag., 2022

Boosting Out-of-Distribution Detection with Multiple Pre-trained Models.

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CoRR, 2022

Improved OOD Generalization via Conditional Invariant Regularizer.

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CoRR, 2022

Learning to Prove Trigonometric Identities.

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CoRR, 2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

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CoRR, 2022

ZeroGen<sup>+</sup>: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning.

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CoRR, 2022

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding Square Loss in Training Overparametrized Neural Network Classifiers.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Model Training with Multi-fidelity Hyperparameter Evaluation.

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Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Rethinking Adversarial Transferability from a Data Distribution Perspective.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

FILIP: Fine-grained Interactive Language-Image Pre-Training.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

Nonlinear ICA Using Volume-Preserving Transformations.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

Memory Replay with Data Compression for Continual Learning.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

On Redundancy and Diversity in Cell-based Neural Architecture Search.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

Revisiting Over-smoothing in BERT from the Perspective of Graph.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

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Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalizing Few-Shot NAS with Gradient Matching.

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Proceedings of the Tenth International Conference on Learning Representations, 2022

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.

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Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Negative Text Replay for Continual Vision-Language Pretraining.

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Proceedings of the Computer Vision - ECCV 2022, 2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.

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Proceedings of the Computer Vision - ECCV 2022, 2022

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Long-tail Recognition via Compositional Knowledge Transfer.

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Pedro M. Esperança

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Steven McDonagh

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Tamas J. Madarasz

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semi-Supervised Object Detection via Multi-instance Alignment with Global Class Prototypes.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.

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Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

AutoBERT-Zero: Evolving BERT Backbone from Scratch.

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Philip L. H. Yu

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Research on the Detection Method of Tunnel Surface Flatness Based on Point Cloud Data.

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Symmetry, 2021

Output feedback $H_\infty$ control of networked control systems based on two channel event-triggered mechanisms.

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Kybernetika, 2021

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks.

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CoRR, 2021

Towards Understanding the Generative Capability of Adversarially Robust Classifiers.

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CoRR, 2021

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving.

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CoRR, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

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CoRR, 2021

Contextualizing Multiple Tasks via Learning to Decompose.

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CoRR, 2021

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.

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CoRR, 2021

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening.

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CoRR, 2021

How Well Self-Supervised Pre-Training Performs with Streaming Data?

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CoRR, 2021

Unsupervised Pretraining for Object Detection by Patch Reidentification.

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CoRR, 2021

DetCo: Unsupervised Contrastive Learning for Object Detection.

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CoRR, 2021

Out-of-Distribution Generalization Analysis via Influence Function.

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CoRR, 2021

Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation.

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CoRR, 2021

Learning to Build High-Fidelity and Robust Environment Models.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression.

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Fabio Maria Carlucci

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards a Theoretical Framework of Out-of-Distribution Generalization.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

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Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

On Effective Scheduling of Model-based Reinforcement Learning.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.

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Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ModularNAS: Towards Modularized and Reusable Neural Architecture Search.

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Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

An Embedding Learning Framework for Numerical Features in CTR Prediction.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SparseBERT: Rethinking the Importance Analysis in Self-attention.

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James Tin-Yau Kwok

Proceedings of the 38th International Conference on Machine Learning, 2021

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search.

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Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Understanding the Generative Capability of Adversarially Robust Classifiers.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DetCo: Unsupervised Contrastive Learning for Object Detection.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Robustness for Unsupervised Domain Adaptation.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Research of Network Traffic Classification Based on Ensemble Learning.

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Proceedings of the 16th International Conference on Computer Science & Education, 2021

iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adversarial Invariant Learning.

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Guang-Zhong Yang

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Transformation Invariant Few-Shot Object Detection.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MetaAugment: Sample-Aware Data Augmentation Policy Learning.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

How to Save your Annotation Cost for Panoptic Segmentation?

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.

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S.-H. Gary Chan

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction.

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CoRR, 2020

Batch Group Normalization.

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Pedro M. Esperança

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Guang-Zhong Yang

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CoRR, 2020

MOFA: Modular Factorial Design for Hyperparameter Optimization.

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CoRR, 2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

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CoRR, 2020

Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks.

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CoRR, 2020

An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization.

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CoRR, 2020

Decoder-free Robustness Disentanglement without (Additional) Supervision.

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CoRR, 2020

Risk Variance Penalization: From Distributional Robustness to Causality.

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CoRR, 2020

Multi-objective Neural Architecture Search via Non-stationary Policy Gradient.

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George Trimponias

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CoRR, 2020

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection.

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Pengxiang Cheng

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Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.

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Stefanos Zafeiriou

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS.

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Locally Differentially Private (Contextual) Bandits Learning.

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.

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Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search.

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending.

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Proceedings of the Computer Vision - ECCV 2020, 2020

AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling.

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Proceedings of the Computer Vision - ECCV 2020, 2020

CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search.

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Proceedings of the Computer Vision - ECCV 2020, 2020

Rethinking Performance Estimation in Neural Architecture Search.

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Boosting Few-Shot Learning With Adaptive Margin Loss.

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection.

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction.

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Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Blockchain as a Dissipative System and Cognitive Space.

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Proceedings of the BSCI '20: Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2020

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

New Interpretations of Normalization Methods in Deep Learning.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Meta-Learning PAC-Bayes Priors in Model Averaging.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-objective Neural Architecture Search via Predictive Network Performance Optimization.

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CoRR, 2019

StacNAS: Towards stable and consistent optimization for differentiable Neural Architecture Search.

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CoRR, 2019

DARTS+: Improved Differentiable Architecture Search with Early Stopping.

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CoRR, 2019

Meta Reinforcement Learning with Task Embedding and Shared Policy.

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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification.

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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spatial-Aware Graph Relation Network for Large-Scale Object Detection.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs.

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Xiangliang Zhang

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IEEE Trans. Knowl. Data Eng., 2018

Meta-Learning for Few-shot Camera-Adaptive Color Constancy.

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Steven McDonagh

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Gregory G. Slabaugh

CoRR, 2018

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction.

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CoRR, 2018

Federated Meta-Learning for Recommendation.

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CoRR, 2018

Deep Meta-Learning: Learning to Learn in the Concept Space.

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CoRR, 2018

MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs (Extended Abstract).

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Xiangliang Zhang

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Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Meta-SGD: Learning to Learn Quickly for Few Shot Learning.

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CoRR, 2017

Graph Edge Partitioning via Neighborhood Heuristic.

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Zhihao Gavin Tang

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Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

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Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Graph-Based Push Service Platform.

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Proceedings of the Database Systems for Advanced Applications, 2017

2016

Counting Triangles in Large Graphs by Random Sampling.

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IEEE Trans. Knowl. Data Eng., 2016

VENUS: A System for Streamlined Graph Computation on a Single PC.

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IEEE Trans. Knowl. Data Eng., 2016

A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs.

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Xiangliang Zhang

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CoRR, 2016

PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition.

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Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Walking in the Cloud: Parallel SimRank at Scale.

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Proc. VLDB Endow., 2015

Piecewise linear approximation of streaming time series data with max-error guarantees.

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Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

VENUS: Vertex-centric streamlined graph computation on a single PC.

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Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

New insights into Laplacian similarity search.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Active contour model driven by linear speed function for local segmentation with robust initialization and applications in MR brain images.

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Signal Process., 2014

Constrained multiplicative graph cuts based active contour model for magnetic resonance brain image series segmentation.

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Signal Process., 2014

Efficient semantic image segmentation with multi-class ranking prior.

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Comput. Vis. Image Underst., 2014

Locally Linear Hashing for Extracting Non-linear Manifolds.

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Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Modified localized graph cuts based active contour model for local segmentation with surrounding nearby clutter and intensity inhomogeneity.

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Signal Process., 2013

Analyzing the Harmonic Structure in Graph-Based Learning.

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Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Bayesian Approach to Multimodal Visual Dictionary Learning.

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Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Learning with Partially Absorbing Random Walks.

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Anthony Man-Cho So

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Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Submodular video hashing: a unified framework towards video pooling and indexing.

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Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Segmentation using superpixels: A bipartite graph partitioning approach.

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Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Modeling Scene and Object Contexts for Human Action Retrieval With Few Examples.

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IEEE Trans. Circuits Syst. Video Technol., 2011

2009

Responses to the Comments on "Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings".

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IEEE Trans. Pattern Anal. Mach. Intell., 2009

Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming.

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Anthony Man-Cho So

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Shuo-Yen Robert Li

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Constrained clustering by spectral kernel learning.

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Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Constrained clustering via spectral regularization.

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Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings.

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IEEE Trans. Pattern Anal. Mach. Intell., 2008

Pairwise constraint propagation by semidefinite programming for semi-supervised classification.

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Proceedings of the Machine Learning, 2008

2007

Image matting using linear optimization.

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Proceedings of the 15th International Conference on Multimedia 2007, 2007

Noise Robust Spectral Clustering.

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Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

A Closed-form Solution to 3D Reconstruction of Piecewise Planar Objects from Single Images.

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Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Shape from regularities for interactive 3D reconstruction of piecewise planar objects from single images.

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Proceedings of the 14th ACM International Conference on Multimedia, 2006

2003

Approximate Entropy Based Pulse Variability Analysis.

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Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003

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