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Heng Huang

Identifiers

  • name variant Heng Huang 0.60 · backfill

Papers (45)

  1. Capability Self-Assessment: Teaching LLMs to Know Their Limits cs.AI · 2026 · author #6
  2. Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio cs.LG · 2026 · author #4
  3. Compositional Adversarial Training for Robust Visual Watermarking cs.CV · 2026 · author #5
  4. Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability cs.LG · 2026 · author #5
  5. RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction cs.CV · 2026 · author #6
  6. LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling cs.CL · 2026 · author #13
  7. Rollback-Free Stable Brick Structures Generation cs.LG · 2026 · author #4
  8. FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning cs.CR · 2026 · author #3
  9. Distributionally Robust Multi-Objective Optimization cs.LG · 2026 · author #4
  10. VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation cs.CV · 2026 · author #4
  11. New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework cs.AI · 2026 · author #3
  12. R2-Router: A New Paradigm for LLM Routing with Reasoning cs.CL · 2026 · author #4
  13. Learning from Self-Debate: Preparing Reasoning Models for Multi-Agent Debate cs.CL · 2026 · author #6
  14. Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds cs.LG · 2026 · author #2
  15. Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation cs.CL · 2025 · author #5
  16. Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness cs.CV · 2025 · author #5
  17. Scalable Semi-Supervised SVM via Triply Stochastic Gradients cs.LG · 2019 · author #6
  18. An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms cs.LG · 2019 · author #6
  19. Robust Linear Discriminant Analysis Using Ratio Minimization of L1,2-Norms cs.LG · 2019 · author #4
  20. LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking cs.CV · 2019 · author #2
  21. Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering cs.CV · 2019 · author #6
  22. Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization math.OC · 2019 · author #5
  23. 3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation cs.CV · 2018 · author #4
  24. Training Neural Networks Using Features Replay cs.LG · 2018 · author #3
  25. Decoupled Parallel Backpropagation with Convergence Guarantee cs.LG · 2018 · author #4
  26. Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization cs.LG · 2017 · author #4
  27. Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes cs.CV · 2017 · author #3
  28. Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics cs.DC · 2017 · author #2
  29. Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization cs.LG · 2017 · author #5
  30. Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization cs.LG · 2016 · author #4
  31. Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction cs.LG · 2016 · author #3
  32. Asynchronous Stochastic Block Coordinate Descent with Variance Reduction cs.LG · 2016 · author #3
  33. A Closed Form Solution to Multi-View Low-Rank Regression cs.LG · 2016 · author #5
  34. A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification cs.CV · 2016 · author #4
  35. Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction cs.LG · 2016 · author #3
  36. Distributed Asynchronous Dual Free Stochastic Dual Coordinate Ascent cs.LG · 2016 · author #2
  37. Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization cs.LG · 2016 · author #2
  38. Enhancing Sentence Relation Modeling with Auxiliary Character-level Embedding cs.CL · 2016 · author #2
  39. Clinical Information Extraction via Convolutional Neural Network cs.LG · 2016 · author #2
  40. Non-Greedy L21-Norm Maximization for Principal Component Analysis cs.LG · 2016 · author #2
  41. Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning cs.LG · 2015 · author #6
  42. Improved Spectral Clustering via Embedded Label Propagation cs.LG · 2014 · author #4
  43. A Convex Sparse PCA for Feature Analysis cs.LG · 2014 · author #4
  44. Continuous monitoring of membrane protein micro-domain association during cell signaling physics.bio-ph · 2011 · author #1
  45. Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms cs.CV · 2009 · author #2

Mentions

  • 2602.02823 #4 · arxiv_oai · confidence 0.70 Heng Huang
  • 2606.00251 #6 · arxiv_oai · confidence 0.70 Heng Huang
  • 1411.6241 #4 · backfill · confidence 0.70 Heng Huang
  • 1411.6233 #4 · backfill · confidence 0.70 Heng Huang
  • 2605.25967 #4 · arxiv_oai · confidence 0.70 Heng Huang
  • 2601.22297 #6 · arxiv_oai · confidence 0.70 Heng Huang
  • 2605.16720 #5 · arxiv_oai · confidence 0.70 Heng Huang
  • 1101.5087 #1 · backfill · confidence 0.70 Heng Huang
  • 0902.4521 #2 · backfill · confidence 0.70 Heng Huang

Frequent Coauthors