Chang Liu

Orcid: 0000-0001-5012-7921

Affiliations:

Microsoft Research AI4Science, Beijing, China
Microsoft Research Asia, Beijing, China (former)
Tsinghua University, Institute for AI, BNRist, Beijing, China (former)

According to our database¹, Chang Liu authored at least 79 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Other

Bibliography

2025

Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2025

2024

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2024

Predicting equilibrium distributions for molecular systems with deep learning.

[BibT_eX]

[DOI]

Nat. Mac. Intell., 2024

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement.

[BibT_eX]

[DOI]

CoRR, 2024

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models.

[BibT_eX]

[DOI]

CoRR, 2024

UVMap-ID: A Controllable and Personalized UV Map Generative Model.

[BibT_eX]

[DOI]

CoRR, 2024

ParCo: Part-Coordinating Text-to-Motion Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Consistency Training for Hamiltonian Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction.

[BibT_eX]

[DOI]

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

LLM-Empowered State Representation for Reinforcement Learning.

[BibT_eX]

[DOI]

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

Kepler codebook.

[BibT_eX]

[DOI]

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

GraCo: Granularity-Controllable Interactive Segmentation.

[BibT_eX]

[DOI]

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

From Synthetic to Real: A Calibration-free Pipeline for Few-shot Raw Image Denoising.

[BibT_eX]

[DOI]

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

MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results.

[BibT_eX]

[DOI]

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

Parallel Vertex Diffusion for Unified Visual Grounding.

[BibT_eX]

[DOI]

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

2023

Generalizing to Unseen Domains: A Survey on Domain Generalization.

[BibT_eX]

[DOI]

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

Invertible Rescaling Network and Its Extensions.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

FreestyleRet: Retrieving Images from Style-Diversified Queries.

[BibT_eX]

[DOI]

CoRR, 2023

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Real-World Burst Image Super-Resolution: Benchmark and Method.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Parallel Vertex Diffusion for Unified Visual Grounding.

[BibT_eX]

[DOI]

CoRR, 2023

UATVR: Uncertainty-Adaptive Text-Video Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning.

[BibT_eX]

[DOI]

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

TG-VQA: Ternary Game of Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Complementary Attention for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization.

[BibT_eX]

[DOI]

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

Towards Real-World Burst Image Super-Resolution: Benchmark and Method.

[BibT_eX]

[DOI]

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

TopoSeg: Topology-Aware Nuclear Instance Segmentation.

[BibT_eX]

[DOI]

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

UATVR: Uncertainty-Adaptive Text-Video Retrieval.

[BibT_eX]

[DOI]

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

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation.

[BibT_eX]

[DOI]

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

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model.

[BibT_eX]

[DOI]

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

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning.

[BibT_eX]

[DOI]

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

Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

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

Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection.

[BibT_eX]

[DOI]

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

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning.

[BibT_eX]

[DOI]

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

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

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

ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation.

[BibT_eX]

[DOI]

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

Spatio-Temporal Graph Diffusion for Text-Driven Human Motion Generation.

[BibT_eX]

[DOI]

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

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation.

[BibT_eX]

[DOI]

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

2022

Direct Molecular Conformation Generation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

DQnet: Cross-Model Detail Querying for Camouflaged Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Proposal Distribution Calibration for Few-Shot Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Local Manifold Augmentation for Multiview Semantic Consistency.

[BibT_eX]

[DOI]

CoRR, 2022

Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.

[BibT_eX]

[DOI]

CoRR, 2022

Direct Molecular Conformation Generation.

[BibT_eX]

[DOI]

CoRR, 2022

Distilling Representations from GAN Generator via Squeeze and Span.

[BibT_eX]

[DOI]

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

Sampling with Mirrored Stein Operators.

[BibT_eX]

[DOI]

Jiaxin Shi

Chang Liu

Lester Mackey

Proceedings of the Tenth International Conference on Learning Representations, 2022

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Invariant Representations across Domains and Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

Recovering Latent Causal Factor for Generalization to Distributional Shifts.

[BibT_eX]

[DOI]

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

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning.

[BibT_eX]

[DOI]

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

On the Generative Utility of Cyclic Conditionals.

[BibT_eX]

[DOI]

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

Learning Causal Semantic Representation for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

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

Generalizing to Unseen Domains: A Survey on Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Towards Generating Real-World Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Latent Causal Invariant Model.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Causal Semantic Representation for Out-of-Distribution Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Match Distributions for Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Modeling Lost Information in Lossy Image Compression.

[BibT_eX]

[DOI]

CoRR, 2020

Variance Reduction and Quasi-Newton for Particle-Based Variational Inference.

[BibT_eX]

[DOI]

Michael Zhu

Chang Liu

Jun Zhu

Proceedings of the 37th International Conference on Machine Learning, 2020

Invertible Image Rescaling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Straight-Through Estimator as Projected Wasserstein Gradient Flow.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Annealing of GANs: A Langevin Perspective.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding and Accelerating Particle-Based Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding MCMC Dynamics as Flows on the Wasserstein Space.

[BibT_eX]

[DOI]

Chang Liu

Jingwei Zhuo

Jun Zhu

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.

[BibT_eX]

[DOI]

CoRR, 2018

Message Passing Stein Variational Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Riemannian Stein Variational Gradient Descent for Bayesian Inference.

[BibT_eX]

[DOI]

Chang Liu

Jun Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Stochastic Gradient Geodesic MCMC Methods.

[BibT_eX]

[DOI]

Chang Liu

Jun Zhu

Yang Song

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Chang Liu

Timeline

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