PPaperPicks

Heng Huang

University of Maryland College Park, Department of Computer Science, College Park, MD, USA

65 papers at tracked venues · 52 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0002-3483-8333 ↗Google Scholar ↗Homepage ↗

Venues

ICLR ×13ICML ×10NeurIPS ×10CVPR ×8ACL ×4ECCV ×4ICCV ×4AAAI ×3EMNLP ×2ICDM ×2MICCAI ×2AISTATS ×1IJCAI ×1InterSpeech ×1

Frequent coauthors

Zhengmian Hu
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Ruibo Chen
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Alireza Ganjdanesh
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Lichang Chen
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Yihan Wu
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Reza Shirkavand
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Shaocong Ma
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Zhenyi Wang
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Ziyi Chen
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Wenhan Xian
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Shangqian Gao
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Junyi Li
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Papers

  1. A Watermark for Auto-Regressive Speech Generation Models
    InterSpeech 2025 ·
    Yihan Wu
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  2. A Watermark for Order-Agnostic Language Models
    ICLR 2025 ·
    Ruibo Chen
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  3. ARGUS: Hallucination and Omission Evaluation in Video-LLMs
    ICCV 2025 ·
    Ruchit Rawal
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  4. Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation
    ACL 2025 ·
    Tong Zheng
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  5. Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
    NeurIPS 2025 ·
    Reza Shirkavand
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  6. Cost-Aware Contrastive Routing for LLMs
    NeurIPS 2025 ·
    Reza Shirkavand
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  7. De-mark: Watermark Removal in Large Language Models
    ICML 2025 ·
    Ruibo Chen
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  8. Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
    CVPR 2025 ·
    Reza Shirkavand
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  9. Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations
    IJCAI 2025 ·
    Wenhan Xian
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  10. Federated Continuous Category Discovery and Learning
    ICCV 2025 ·
    Lixu Wang
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  11. From Lists to Emojis: How Format Bias Affects Model Alignment
    ACL 2025 ·
    Xuanchang Zhang
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  12. GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning
    ICCV 2025 ·
    Kelin Yu
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  13. Identification of Intermittent Temporal Latent Process
    ICLR 2025 ·
    Yuke Li
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  14. Improved Unbiased Watermark for Large Language Models
    ACL 2025 ·
    Ruibo Chen
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  15. LLaVA-Critic: Learning to Evaluate Multimodal Models
    CVPR 2025 ·
    Tianyi Xiong
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  16. Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery
    ICCV 2025 ·
    Zixuan Wen
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  17. Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
    ICLR 2025 ·
    Alireza Ganjdanesh
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  18. OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
    ICLR 2025 ·
    Lichang Chen
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  19. On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
    NeurIPS 2025 ·
    Shaocong Ma
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  20. Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness
    ICML 2025 ·
    Qi He
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  21. Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
    ICLR 2025 ·
    Shaocong Ma
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  22. Robust Distortion-Free Watermark for Autoregressive Audio Generation Models
    NeurIPS 2025 ·
    Yihan Wu
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  23. Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
    NeurIPS 2025 ·
    Shaocong Ma
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  24. Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction
    ICDM 2025 ·
    Yang Du
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  25. SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
    CVPR 2025 ·
    Zilan Wang
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  26. Towards Optimal Multi-draft Speculative Decoding
    ICLR 2025 ·
    Zhengmian Hu
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  27. Trustworthy Clinical Thinking in MLLMs: Hierarchical Energy-based Reasoning for interpretable MEdical Scans (HERMES)
    MICCAI 2025 ·
    Florence X. Doo
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  28. Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models
    EMNLP 2025 ·
    Yisheng Zhong
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  29. Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making
    ICDM 2025 ·
    Siyuan Dai
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  30. A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
    EMNLP 2024 ·
    Zhengmian Hu
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  31. A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
    ICML 2024 ·
    Yihan Wu
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  32. A Unified and General Framework for Continual Learning
    ICLR 2024 ·
    Zhenyi Wang
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  33. Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
    ICML 2024 ·
    Ziyi Chen
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  34. Accelerated Speculative Sampling Based on Tree Monte Carlo
    ICML 2024 ·
    Zhengmian Hu
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  35. Adversarial Fairness Network
    AAAI 2024 ·
    Taeuk Jang
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  36. AlpaGasus: Training a Better Alpaca with Fewer Data
    ICLR 2024 ·
    Lichang Chen
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  37. Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
    CVPR 2024 ·
    Xidong Wu
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  38. BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks
    CVPR 2024 ·
    Shangqian Gao
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  39. Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
    AAAI 2024 ·
    Alireza Ganjdanesh
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  40. Defense against Model Extraction Attack by Bayesian Active Watermarking
    ICML 2024 ·
    Zhenyi Wang
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  41. Delving into the Convergence of Generalized Smooth Minimax Optimization
    ICML 2024 ·
    Wenhan Xian
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  42. Device-Wise Federated Network Pruning
    CVPR 2024 ·
    Shangqian Gao
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  43. Dropout Enhanced Bilevel Training
    ICLR 2024 ·
    Peiran Yu
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  44. FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
    ICLR 2024 ·
    Junyi Li
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  45. Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt
    ECCV 2024 ·
    Chenxi Liu
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  46. Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
    NeurIPS 2024 ·
    Zhengmian Hu
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  47. InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
    ICML 2024 ·
    Lichang Chen
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  48. Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
    MICCAI 2024 ·
    Haoteng Tang
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  49. Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
    CVPR 2024 ·
    Alireza Ganjdanesh
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  50. Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization
    AISTATS 2024 ·
    Zhou Zhai
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  51. Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection
    ECCV 2024 ·
    Alireza Ganjdanesh
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  52. Model Sensitivity Aware Continual Learning
    NeurIPS 2024 ·
    Zhenyi Wang
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  53. ODIN: Disentangled Reward Mitigates Hacking in RLHF
    ICML 2024 ·
    Lichang Chen
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  54. On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning
    ICLR 2024 ·
    Ziyi Chen
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  55. On the Role of Server Momentum in Federated Learning
    AAAI 2024 ·
    Jianhui Sun
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  56. Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
    ECCV 2024 ·
    Wentao Bao
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  57. Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling
    NeurIPS 2024 ·
    Junyi Li
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  58. Retrieval Across Any Domains via Large-scale Pre-trained Model
    ICML 2024 ·
    Jiexi Yan
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  59. Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
    ECCV 2024 ·
    Jianan Fan
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  60. Robust Reinforcement Learning with General Utility
    NeurIPS 2024 ·
    Ziyi Chen
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  61. Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
    CVPR 2024 ·
    Jianan Fan
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  62. Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
    ICLR 2024 ·
    Kai Huang
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  63. Unbiased Watermark for Large Language Models
    ICLR 2024 ·
    Zhengmian Hu
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  64. Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
    ACL 2024 ·
    Ruibo Chen
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  65. ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark
    NeurIPS 2024 ·
    Junfeng Guo
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