← Authors

Heng Huang

196 papers · 2010–2025 · 15 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) πŸ—ΊοΈ Taxonomy Completionist (34) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (23) 🌱 Topic Pioneer πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (3) πŸ† Grand Slam 🀝 Dynamic Duo (28) πŸ“ˆ Trend Setter ❓ The Questioner πŸš€ Conference Pioneer ⚑ Prolific Year (15) πŸ”₯ Unstoppable (16) πŸ—ƒοΈ Keyword Collector (118) πŸ’Ž Century Club (196)

Conferences

ICML (31) NIPS (31) IJCAI (30) CVPR (27) AAAI (23) ICCV (15) ICLR (15) ECCV (8) ACL (4) EMNLP (3) JMLR (3) AISTATS (2) SEMEVAL (2) CORL (1) MICCAI (1)

Top co-authors

Feiping Nie (28) Cheng Deng (27) Shangqian Gao (24) Feihu Huang (21) Bin Gu (20) Zhengmian Hu (16) Weidong Cai (14) Yihan Wu (14) Zhouyuan Huo (12) Junfeng Guo (12)

Research topics

Processing (1) Privacy (1)

Keywords

stochastic optimization (10) variance reduction (10) federated learning (10) metric learning (9) stochastic gradient (9) model compression (9) bilevel optimization (9) stochastic gradient descent (8) communication efficiency (8) nonconvex optimization (8) minimax optimization (7) convergence rate (7) neural network (7) semi-supervised learning (6) gradient descent (6) unsupervised learning (6) convolutional neural network (6) non-convex optimization (6) sparse coding (5) distributed learning (5)

Papers

Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation ACL 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models CVPR 2025
LLaVA-Critic: Learning to Evaluate Multimodal Models CVPR 2025
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models CVPR 2025
Identification of Intermittent Temporal Latent Process ICLR 2025
A Watermark for Order-Agnostic Language Models ICLR 2025
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models ICLR 2025
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities ICLR 2025
Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations IJCAI 2025
Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness ICML 2025
De-mark: Watermark Removal in Large Language Models ICML 2025
Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations ICLR 2025
Towards Optimal Multi-draft Speculative Decoding ICLR 2025
ARGUS: Hallucination and Omission Evaluation in Video-LLMs ICCV 2025
Federated Continuous Category Discovery and Learning ICCV 2025
GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning ICCV 2025
Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models EMNLP 2025
Improved Unbiased Watermark for Large Language Models ACL 2025
From Lists to Emojis: How Format Bias Affects Model Alignment ACL 2025
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models ICML 2024
Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories IJCAI 2024
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View ECCV 2024
Defense against Model Extraction Attack by Bayesian Active Watermarking ICML 2024
Retrieval Across Any Domains via Large-scale Pre-trained Model ICML 2024
Delving into the Convergence of Generalized Smooth Minimax Optimization ICML 2024
Robust Reinforcement Learning with General Utility NIPS 2024
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NIPS 2024
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NIPS 2024
APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments NIPS 2024
ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark NIPS 2024
Model Sensitivity Aware Continual Learning NIPS 2024
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion CORL 2024
Accelerated Speculative Sampling Based on Tree Monte Carlo ICML 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF ICML 2024
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation ICLR 2024
AlpaGasus: Training a Better Alpaca with Fewer Data ICLR 2024
A Unified and General Framework for Continual Learning ICLR 2024
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning ICLR 2024
Unbiased Watermark for Large Language Models ICLR 2024
Dropout Enhanced Bilevel Training ICLR 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection ECCV 2024
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization AISTATS 2024
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning ECCV 2024
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ICLR 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024
On the Role of Server Momentum in Federated Learning AAAI 2024
BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks CVPR 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024
Device-Wise Federated Network Pruning CVPR 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch CVPR 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces ICML 2024
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models ICML 2024
Adversarial Fairness Network AAAI 2024
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection ACL 2024
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution EMNLP 2024
Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt ECCV 2024
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation MICCAI 2024
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NIPS 2023
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning NIPS 2023
Federated Conditional Stochastic Optimization NIPS 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning NIPS 2023
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks NIPS 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand NIPS 2023
Finding Local Minima Efficiently in Decentralized Optimization NIPS 2023
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023
Faster Adaptive Federated Learning AAAI 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples AAAI 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets CVPR 2023
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer EMNLP 2023
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation ICCV 2023
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning ICCV 2023
Structural Alignment for Network Pruning through Partial Regularization ICCV 2023
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models ICLR 2023
Tighter Analysis for ProxSkip ICML 2023
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization ICML 2023
A Law of Robustness beyond Isoperimetry ICML 2023
Detached Error Feedback for Distributed SGD with Random Sparsification ICML 2022
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse AAAI 2022
Balanced Self-Paced Learning for AUC Maximization AAAI 2022
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022
Enhanced Bilevel Optimization via Bregman Distance NIPS 2022
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning NIPS 2022
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning CVPR 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum ICML 2022
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation CVPR 2022
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization JMLR 2022
Disentangled Differentiable Network Pruning ECCV 2022
Recover Fair Deep Classification Models via Altering Pre-trained Structure ECCV 2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps ECCV 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval ICML 2022
Bregman Gradient Policy Optimization ICLR 2022
Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022
Coordinating Momenta for Cross-Silo Federated Learning AAAI 2022
Fast Training Method for Stochastic Compositional Optimization Problems NIPS 2021
On the Random Conjugate Kernel and Neural Tangent Kernel ICML 2021
Network Pruning via Performance Maximization CVPR 2021
Unsupervised Hyperbolic Metric Learning CVPR 2021
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients NIPS 2021
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems NIPS 2021
Optimal Underdamped Langevin MCMC Method NIPS 2021
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding ICCV 2021
Adversarial Attack on Deep Cross-Modal Hamming Retrieval ICCV 2021
Exploration and Estimation for Model Compression ICCV 2021
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity JMLR 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating AAAI 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning AAAI 2021
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling AAAI 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021
Nearest Neighbor Matching for Deep Clustering CVPR 2021
A Faster Decentralized Algorithm for Nonconvex Minimax Problems NIPS 2021
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint CVPR 2020
Sinkhorn Regression IJCAI 2020
Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020
Fast OSCAR and OWL Regression via Safe Screening Rules ICML 2020
Adversarial Nonnegative Matrix Factorization ICML 2020
Momentum-Based Policy Gradient Methods ICML 2020
Sparse Shrunk Additive Models ICML 2020
Safe Sample Screening for Robust Support Vector Machine AAAI 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020
On the Acceleration of Deep Learning Model Parallelism With Staleness CVPR 2020
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization JMLR 2020
Towards Transferable Targeted Attack CVPR 2020
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting CVPR 2020
Binarized Neural Network for Single Image Super Resolution ECCV 2020
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems? ICML 2020
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization IJCAI 2019
Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019
Balanced Self-Paced Learning for Generative Adversarial Clustering Network CVPR 2019
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering CVPR 2019
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees AAAI 2019
Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy AAAI 2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization AAAI 2019
Demystifying Dropout ICML 2019
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019
Curvilinear Distance Metric Learning NIPS 2019
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss IJCAI 2019
Scalable Semi-Supervised SVM via Triply Stochastic Gradients IJCAI 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization IJCAI 2019
Joint Generative Moment-Matching Network for Learning Structural Latent Code IJCAI 2018
Unsupervised Deep Generative Adversarial Hashing Network CVPR 2018
Training Neural Networks Using Features Replay NIPS 2018
Bilevel Distance Metric Learning for Robust Image Recognition NIPS 2018
Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018
Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding IJCAI 2018
Deep Attributed Network Embedding IJCAI 2018
Multi-Level Metric Learning via Smoothed Wasserstein Distance IJCAI 2018
New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines ICML 2018
Decoupled Parallel Backpropagation with Convergence Guarantee ICML 2018
Direct Shape Regression Networks for End-to-End Face Alignment CVPR 2018
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017
Joint Capped Norms Minimization for Robust Matrix Recovery IJCAI 2017
Learning A Structured Optimal Bipartite Graph for Co-Clustering NIPS 2017
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning IJCAI 2017
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model IJCAI 2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization ICCV 2017
Locally-Transferred Fisher Vectors for Texture Classification ICCV 2017
Regularized Modal Regression with Applications in Cognitive Impairment Prediction NIPS 2017
Group Sparse Additive Machine NIPS 2017
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering IJCAI 2016
UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation SEMEVAL 2016
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports SEMEVAL 2016
Error Analysis of Generalized NystrΓΆm Kernel Regression NIPS 2016
Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint IJCAI 2016
Fusing Subcategory Probabilities for Texture Classification CVPR 2015
Discriminative Unsupervised Dimensionality Reduction IJCAI 2015
Robust Dictionary Learning with Capped l1-Norm IJCAI 2015
A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering IJCAI 2015
Multi-View Subspace Clustering ICCV 2015
Linear Time Solver for Primal SVM ICML 2014
Video Motion Segmentation Using New Adaptive Manifold Denoising Model CVPR 2014
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014
Optimal Mean Robust Principal Component Analysis ICML 2014
Exact Top-k Feature Selection via l2,0-Norm Constraint IJCAI 2013
New Graph Structured Sparsity Model for Multi-label Image Annotations ICCV 2013
Multi-View Clustering and Feature Learning via Structured Sparsity ICML 2013
Multi-View K-Means Clustering on Big Data IJCAI 2013
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine CVPR 2013
Social Trust Prediction Using Rank-k Matrix Recovery IJCAI 2013
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization ICCV 2013
Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model ICCV 2013
Robust and Discriminative Self-Taught Learning ICML 2013
Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations IJCAI 2013
Early Active Learning via Robust Representation and Structured Sparsity IJCAI 2013
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding IJCAI 2013
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NIPS 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NIPS 2012
Maximum Margin Multi-Instance Learning NIPS 2011
Efficient and Robust Feature Selection via Joint β„“2,1-Norms Minimization NIPS 2010