← Authors

Ping Li

212 papers · 2005–2026 · 23 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (38) πŸƒ Academic Marathon (20) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (22) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐺 Lone Wolf (3) 🏠 Conference Loyalist (48) 🌟 Keyword Trendsetter Combo (5) πŸ‘‘ Domain Dominant (25) 🀝 Dynamic Duo (21) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸ† Grand Slam πŸ’Ž Century Club (209) πŸ”₯ Unstoppable (16) πŸ—ƒοΈ Keyword Collector (150) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (20)

Conferences

NIPS (48) ICML (23) AISTATS (20) AAAI (18) ICLR (16) EMNLP (12) UAI (9) JMLR (8) ICCV (7) CVPR (7) ACL (7) NAACL (6) ACML (6) COLT (5) IJCAI (5) WACV (4) ALT (3) ECCV (2) IJCNLP (2) EACL (1) CONLL (1) INTERSPEECH (1) RSS (1)

Top co-authors

Xiaoyun Li (21) Mingming Sun (17) Yunfeng Cai (11) Peng Yang (10) Guanhua Fang (10) Dingcheng Li (10) Tan Yu (9) Jianwen Xie (9) Jie Shen (8) Zhiqiang Xu (8)

Research topics

Privacy (2) Architectures (1) Statistics (1) Probability (1) Core AI (1)

Keywords

random projection (18) compressed sensing (9) dimensionality reduction (8) variational inference (7) minwise hashing (6) approximate nearest neighbor (6) representation learning (6) convergence analysis (6) matrix decomposition (6) nearest neighbor search (6) generative model (5) backdoor attack (5) latent variable model (5) reinforcement learning (5) unsupervised learning (5) convex optimization (5) principal component analysis (5) matrix factorization (5) markov chain monte carlo (5) matrix completion (5)

Papers

Toward Real-World High-Precision Image Matting and Segmentation AAAI 2026
Discovering Decoupled Functional Modules in Large Language Models AAAI 2026
SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality EACL 2026
GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks ICLR 2025
Beware of Calibration Data for Pruning Large Language Models ICLR 2025
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition IJCAI 2025
Toward Generalizing Visual Brain Decoding to Unseen Subjects ICLR 2025
Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection CVPR 2025
FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025
Alternating Regret for Online Convex Optimization COLT 2025
Accurate KV Cache Quantization with Outlier Tokens Tracing ACL 2025
NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration ICCV 2025
Investigating the Overlooked Hessian Structure: From CNNs to LLMs ICML 2025
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees ICLR 2025
Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection ICCV 2025
Two-Stage Video Shadow Detection via Temporal-Spatial Adaption ECCV 2024
Stochastic Controlled Averaging for Federated Learning with Communication Compression ICLR 2024
Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing ACML 2024
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach ICML 2024
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion ICML 2024
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024
Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion NIPS 2024
ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Models EMNLP 2024
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection CVPR 2024
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification EMNLP 2024
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games UAI 2024
CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion ICCV 2023
Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data ICCV 2023
Regression with Label Permutation in Generalized Linear Model ICML 2023
LSDS++ : Dual Sampling for Accelerated k-means++ ICML 2023
Dual-Channel Span for Aspect Sentiment Triplet Extraction EMNLP 2023
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning UAI 2023
Improved Convergence of Differential Private SGD with Gradient Clipping ICLR 2023
Learning Latent Structural Relations With Message Passing Prior WACV 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation AISTATS 2023
Dynamic Re-Weighting for Long-Tailed Semi-Supervised Learning WACV 2023
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing ACL 2023
Improved Bound on Generalization Error of Compressed KNN Estimator AISTATS 2023
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023
Piecewise Stationary Bandits under Risk Criteria AISTATS 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation JMLR 2023
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing ACL 2023
Smooth Flipping Probability for Differential Private Sign Random Projection Methods NIPS 2023
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails NIPS 2023
On the Overlooked Structure of Stochastic Gradients NIPS 2023
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy NIPS 2023
$L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting NIPS 2023
Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023
Greed is good: correspondence recovery for unlabeled linear regression UAI 2023
Copula for Instance-wise Feature Selection and Rank UAI 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations IJCAI 2023
Dataset Pruning: Reducing Training Data by Examining Generalization Influence ICLR 2023
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property ICLR 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference AAAI 2023
One-Step Estimator for Permuted Sparse Recovery ICML 2023
A/B Testing in Network Data with Covariate-Adaptive Randomization ICML 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms ICLR 2023
Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks ACML 2023
Efficient Compact Bilinear Pooling via Kronecker Product AAAI 2022
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems ALT 2022
Faster Noisy Power Method ALT 2022
Continual Learning for Natural Language Generations with Transformer Calibration CONLL 2022
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning NAACL 2022
One Loss for Quantization: Deep Hashing With Discrete Wasserstein Distributional Matching CVPR 2022
MISF: Multi-Level Interactive Siamese Filtering for High-Fidelity Image Inpainting CVPR 2022
Continual Learning for Natural Language Generations with Transformer Calibration EMNLP 2022
Learning Cluster Causal Diagrams: An Information-Theoretic Approach IJCAI 2022
S2-MLP: Spatial-Shift MLP Architecture for Vision WACV 2022
Generative Status Estimation and Information Decoupling for Image Rain Removal NIPS 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond NIPS 2022
SignRFF: Sign Random Fourier Features NIPS 2022
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate NIPS 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class NIPS 2022
C-MinHash: Improving Minwise Hashing with Circulant Permutation ICML 2022
Nearly Optimal Catoni’s M-estimator for Infinite Variance ICML 2022
Minimax M-estimation under Adversarial Contamination ICML 2022
Calibrating CNNs for Few-Shot Meta Learning WACV 2022
Input-Specific Robustness Certification for Randomized Smoothing AAAI 2022
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding AAAI 2022
OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework ACL 2022
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm ACML 2022
On the Convergence of Decentralized Adaptive Gradient Methods ACML 2022
Constructing Orthogonal Convolutions in an Explicit Manner ICLR 2022
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix ICLR 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model ICLR 2022
On Distributed Adaptive Optimization with Gradient Compression ICLR 2022
Discriminative Similarity for Data Clustering ICLR 2022
Noisy L0-sparse subspace clustering on dimensionality reduced data UAI 2022
Offline change detection under contamination UAI 2022
Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval NAACL 2022
Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge NAACL 2022
PromptGen: Automatically Generate Prompts using Generative Models NAACL 2022
Adaptive A/B Test on Networks with Cluster Structures AISTATS 2022
On Variational Inference in Biclustering Models ICML 2021
Mitigating Forgetting in Online Continual Learning with Neuron Calibration NIPS 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021
Backdoor Attack with Imperceptible Input and Latent Modification NIPS 2021
Rate-Optimal Subspace Estimation on Random Graphs NIPS 2021
A Comprehensively Tight Analysis of Gradient Descent for PCA NIPS 2021
A Note on Sparse Generalized Eigenvalue Problem NIPS 2021
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin AAAI 2021
Rejection Sampling for Weighted Jaccard Similarity Revisited AAAI 2021
A Blind Block Term Decomposition of High Order Tensors AAAI 2021
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI 2021
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization ACML 2021
Identification of Matrix Joint Block Diagonalization AISTATS 2021
On the Faster Alternating Least-Squares for CCA AISTATS 2021
Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements AISTATS 2021
Principal Subspace Estimation Under Information Diffusion AISTATS 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning CVPR 2021
A Multi-Task Network for Joint Specular Highlight Detection and Removal CVPR 2021
Inflate and Shrink:Enriching and Reducing Interactions for Fast Text-Image Retrieval EMNLP 2021
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021
Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion ICCV 2021
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks ICCV 2021
Robust Watermarking for Deep Neural Networks via Bi-Level Optimization ICCV 2021
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling ICLR 2021
On Estimation in Latent Variable Models ICML 2021
Quantization Algorithms for Random Fourier Features ICML 2021
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021
Attention-Based Convolutional Neural Network for ASV Spoofing Detection INTERSPEECH 2021
On the Riemannian Search for Eigenvector Computation JMLR 2021
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval NAACL 2021
Towards finding the shortest-paths for 3D rigid bodies RSS 2021
Efficient greedy coordinate descent via variable partitioning UAI 2021
A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression EMNLP 2020
Adaptive Online Kernel Sampling for Vertex Classification AISTATS 2020
Bessel Smoothing and Multi-Distribution Property Estimation COLT 2020
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations AISTATS 2020
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020
Toward Faster and Simpler Matrix Normalization via Rank-1 Update ECCV 2020
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts ACL 2020
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning ACL 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020
Distributed Primal-Dual Optimization for Online Multi-Task Learning AAAI 2020
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation AAAI 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem AISTATS 2020
Optimal Estimator for Unlabeled Linear Regression ICML 2020
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020
Ratio Trace Formulation of Wasserstein Discriminant Analysis NIPS 2020
RANet: Region Attention Network for Semantic Segmentation NIPS 2020
Optimal Prediction of the Number of Unseen Species with Multiplicity NIPS 2020
Thunder: a Fast Coordinate Selection Solver for Sparse Learning NIPS 2020
Towards Better Generalization of Adaptive Gradient Methods NIPS 2020
Outlier Detection and Robust PCA Using a Convex Measure of Innovation NIPS 2019
Multi-Agent Discussion Mechanism for Natural Language Generation AAAI 2019
Sign-Full Random Projections AAAI 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling NIPS 2019
On Efficient Retrieval of Top Similarity Vectors EMNLP 2019
Generalization Error Analysis of Quantized Compressive Learning NIPS 2019
MΓΆbius Transformation for Fast Inner Product Search on Graph NIPS 2019
End-to-end Deep Reinforcement Learning Based Coreference Resolution ACL 2019
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews IJCNLP 2019
On Efficient Retrieval of Top Similarity Vectors IJCNLP 2019
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews EMNLP 2019
Towards Practical Alternating Least-Squares for CCA NIPS 2019
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels UAI 2019
Random Projections with Asymmetric Quantization NIPS 2019
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process NAACL 2019
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation AISTATS 2019
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training ICLR 2019
Coreference Aware Representation Learning for Neural Named Entity Recognition IJCAI 2019
Robust Matrix Completion from Quantized Observations AISTATS 2019
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization AAAI 2019
A Tight Bound of Hard Thresholding JMLR 2018
Gradient Hard Thresholding Pursuit JMLR 2018
Provable Variable Selection for Streaming Features ICML 2018
Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain EMNLP 2018
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NIPS 2017
Online Robust Low-Rank Tensor Learning IJCAI 2017
Simple strategies for recovering inner products from coarsely quantized random projections NIPS 2017
Binary and Multi-Bit Coding for Stable Random Projections AISTATS 2017
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017
Learning Structured Low-Rank Representation via Matrix Factorization AISTATS 2016
One Scan 1-Bit Compressed Sensing AISTATS 2016
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit ICML 2016
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation NIPS 2016
Exact Recovery of Hard Thresholding Pursuit NIPS 2016
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NIPS 2016
Adaptive Stochastic Alternating Direction Method of Multipliers ICML 2015
b-bit Marginal Regression NIPS 2015
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices NIPS 2015
Compressed Sensing with Very Sparse Gaussian Random Projections AISTATS 2015
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) NIPS 2014
Recovery of Coherent Data via Low-Rank Dictionary Pursuit NIPS 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014
Compressed Counting Meets Compressed Sensing COLT 2014
In Defense of Minhash over Simhash AISTATS 2014
Online Optimization for Max-Norm Regularization NIPS 2014
Coding for Random Projections ICML 2014
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search ICML 2014
Beyond Pairwise: Provably Fast Algorithms for Approximate $k$-Way Similarity Search NIPS 2013
Sign Cauchy Projections and Chi-Square Kernel NIPS 2013
Entropy Estimations Using Correlated Symmetric Stable Random Projections NIPS 2012
One Permutation Hashing NIPS 2012
Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012
A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data COLT 2011
Hashing Algorithms for Large-Scale Learning NIPS 2011
b-Bit Minwise Hashing for Estimating Three-Way Similarities NIPS 2010
One sketch for all: Theory and Application of Conditional Random Sampling NIPS 2008
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections JMLR 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NIPS 2006
Using Sketches to Estimate Associations EMNLP 2005