← Authors

Yi Ma

89 papers · 2007–2026 · 16 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) πŸ—ΊοΈ Taxonomy Completionist (24) 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (18) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (9) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (14) ⚑ Prolific Year (11) πŸ’Ž Century Club (87) πŸ—ƒοΈ Keyword Collector (66) ❓ The Questioner (3) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

NIPS (21) CVPR (16) ICML (14) ICLR (9) ICCV (6) IJCAI (4) JMLR (4) AAAI (3) CORL (3) INTERSPEECH (2) NAACL (2) AISTATS (1) ECCV (1) EMNLP (1) MICCAI (1) WACV (1)

Top co-authors

Yaodong Yu (16) Jianye Hao (13) Yuexiang Zhai (10) Shengbang Tong (10) Druv Pai (9) Haozhi Qi (9) Ziyang Wu (8) YAN ZHENG (7) Chong You (7) Jitendra Malik (6)

Keywords

representation learning (10) reinforcement learning (7) convolutional neural network (5) offline reinforcement learning (5) sparse representation (4) policy learning (4) neural network (4) 3d reconstruction (3) maximal coding rate reduction (3) image reconstruction (3) policy optimization (3) image classification (3) multimodal large language model (3) video processing (3) transformer architecture (3) convex optimization (3) image denoising (3) decision making (2) dictionary learning (2) object detection (2)

Papers

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs AAAI 2026
Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing AAAI 2026
Estimating Body and Hand Motion in an Ego-sensed World CVPR 2025
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training ICML 2025
Attention-Only Transformers via Unrolled Subspace Denoising ICML 2025
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction ICLR 2025
Simplifying DINO via Coding Rate Regularization ICML 2025
How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio? INTERSPEECH 2024
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models ICLR 2024
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction ICML 2024
Differentially Private Representation Learning via Image Captioning ICML 2024
Learning a Diffusion Model Policy from Rewards via Q-Score Matching ICML 2024
Rethinking Decision Transformer via Hierarchical Reinforcement Learning ICML 2024
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation ICML 2024
Masked Completion via Structured Diffusion with White-Box Transformers ICLR 2024
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback ICLR 2024
RLIF: Interactive Imitation Learning as Reinforcement Learning ICLR 2024
Representation Learning via Manifold Flattening and Reconstruction JMLR 2024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024
Scaling White-Box Transformers for Vision NIPS 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NIPS 2024
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning NIPS 2024
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning NIPS 2024
Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation NIPS 2024
Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis MICCAI 2024
Lessons from Learning to Spin β€œPens” CORL 2024
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? JMLR 2024
ViP: A Differentially Private Foundation Model for Computer Vision ICML 2024
Unsupervised Manifold Linearizing and Clustering ICCV 2023
Canonical Factors for Hybrid Neural Fields ICCV 2023
White-Box Transformers via Sparse Rate Reduction NIPS 2023
Reining Generalization in Offline Reinforcement Learning via Representation Distinction NIPS 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning NIPS 2023
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform ICLR 2023
Incremental Learning of Structured Memory via Closed-Loop Transcription ICLR 2023
General In-hand Object Rotation with Vision and Touch CORL 2023
Understanding the Complexity Gains of Single-Task RL with a Curriculum ICML 2023
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem AAAI 2023
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NIPS 2022
Revisiting Sparse Convolutional Model for Visual Recognition NIPS 2022
Robust Calibration with Multi-domain Temperature Scaling NIPS 2022
In-Hand Object Rotation via Rapid Motor Adaptation CORL 2022
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022
EvUnroll: Neuromorphic Events Based Rolling Shutter Image Correction CVPR 2022
Efficient Maximal Coding Rate Reduction by Variational Forms CVPR 2022
Predicting Out-of-Distribution Error with the Projection Norm ICML 2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations IJCAI 2022
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction JMLR 2022
Learning To Reconstruct 3D Non-Cuboid Room Layout From a Single RGB Image WACV 2022
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events CVPR 2021
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks ICLR 2021
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NIPS 2021
NeRD: Neural 3D Reflection Symmetry Detector CVPR 2021
Incremental Learning via Rate Reduction CVPR 2021
Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness ICLR 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020
Deep Isometric Learning for Visual Recognition ICML 2020
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks ICML 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising IJCAI 2020
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization NIPS 2020
LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation INTERSPEECH 2020
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities NIPS 2020
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group JMLR 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NIPS 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization NIPS 2020
End-to-End Wireframe Parsing ICCV 2019
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution NIPS 2019
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image ICCV 2019
Learning to Parse Wireframes in Images of Man-Made Environments CVPR 2018
PizzaPal: Conversational Pizza Ordering using a High-Density Conversational AI Platform EMNLP 2018
Fine-grained Video Categorization with Redundancy Reduction Attention ECCV 2018
Structured Attentions for Visual Question Answering ICCV 2017
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network CVPR 2016
Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015
Generalized Tensor Total Variation Minimization for Visual Data Recovery CVPR 2015
Robust Separation of Reflection from Multiple Images CVPR 2014
Partial Occlusion Handling for Visual Tracking via Robust Part Matching CVPR 2014
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer CVPR 2013
Learning by Associating Ambiguously Labeled Images CVPR 2013
Video Editing with Temporal, Spatial and Appearance Consistency CVPR 2013
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013
User Goal Change Model for Spoken Dialog State Tracking NAACL 2013
Plane-Based Content Preserving Warps for Video Stabilization CVPR 2013
Ranking-based readability assessment for early primary children’s literature NAACL 2012
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NIPS 2009
Classification via Minimum Incremental Coding Length (MICL) NIPS 2007