Huan Wang

Orcid: 0000-0001-6951-901X

Affiliations:
  • Northeastern University, Boston, MA, USA
  • Zhejiang University, College of Information and Electronic Engineering, Hangzhou, China (former)


According to our database1, Huan Wang authored at least 93 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Accessing Vision Foundation Models at ImageNet-level Costs.
CoRR, 2024

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets.
CoRR, 2024

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases.
CoRR, 2024

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.
CoRR, 2024

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning.
CoRR, 2024

Text2Data: Low-Resource Data Generation with Textual Control.
CoRR, 2024

Editing Arbitrary Propositions in LLMs without Subject Labels.
CoRR, 2024

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Don't Judge by the Look: Towards Motion Coherent Video Representation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Causal Layering via Conditional Entropy.
Proceedings of the Causal Learning and Reasoning, 2024

2023
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Merlion: End-to-End Machine Learning for Time Series.
J. Mach. Learn. Res., 2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents.
CoRR, 2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.
CoRR, 2023

REX: Rapid Exploration and eXploitation for AI Agents.
CoRR, 2023

HIVE: Harnessing Human Feedback for Instructional Visual Editing.
CoRR, 2023

On the Unlikelihood of D-Separation.
CoRR, 2023

Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data.
CoRR, 2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Latent Graph Inference with Limited Supervision.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lower Bounds for Learning in Revealing POMDPs.
Proceedings of the International Conference on Machine Learning, 2023

Improved Online Conformal Prediction via Strongly Adaptive Online Learning.
Proceedings of the International Conference on Machine Learning, 2023

Trainability Preserving Neural Pruning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Image as Set of Points.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Momentum is All You Need for Data-Driven Adaptive Optimization.
Proceedings of the IEEE International Conference on Data Mining, 2023

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Frame Flexible Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Real-Time Neural Light Field on Mobile Devices.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Semi-Supervised Domain Adaptive Structure Learning.
IEEE Trans. Image Process., 2022

Trainability Preserving Neural Structured Pruning.
CoRR, 2022

A Conversational Paradigm for Program Synthesis.
CoRR, 2022

Converse: A Tree-Based Modular Task-Oriented Dialogue System.
CoRR, 2022

Local calibration: metrics and recalibration.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Policy Optimization for Markov Games: Unified Framework and Faster Convergence.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Look More but Care Less in Video Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Parameter-Efficient Masking Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Recent Advances on Neural Network Pruning at Initialization.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Dual Lottery Ticket Hypothesis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient and Differentiable Conformal Prediction with General Function Classes.
Proceedings of the Tenth International Conference on Learning Representations, 2022

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Merlion: A Machine Learning Library for Time Series.
CoRR, 2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization.
CoRR, 2021

Dynamical Isometry: The Missing Ingredient for Neural Network Pruning.
CoRR, 2021

Emerging Paradigms of Neural Network Pruning.
CoRR, 2021

Localized Calibration: Metrics and Recalibration.
CoRR, 2021

Contradictory Structure Learning for Semi-supervised Domain Adaptation.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Evaluating State-of-the-Art Classification Models Against Bayes Optimality.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding the Under-Coverage Bias in Uncertainty Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification.
Proceedings of the 38th International Conference on Machine Learning, 2021

How Important is the Train-Validation Split in Meta-Learning?
Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Pruning via Growing Regularization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Context Reasoning Attention Network for Image Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization.
IEEE J. Sel. Top. Signal Process., 2020

Multi-head Knowledge Distillation for Model Compression.
CoRR, 2020

Knowledge Distillation Thrives on Data Augmentation.
CoRR, 2020

Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning.
CoRR, 2020

Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width.
CoRR, 2020

Opposite Structure Learning for Semi-supervised Domain Adaptation.
CoRR, 2020

Towards Understanding Hierarchical Learning: Benefits of Neural Representations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Triplet Distillation For Deep Face Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2020

Collaborative Distillation for Ultra-Resolution Universal Style Transfer.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Assessing Local Generalization Capability in Deep Models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models.
CoRR, 2019

Global Capacity Measures for Deep ReLU Networks via Path Sampling.
CoRR, 2019

Triplet Distillation for Deep Face Recognition.
CoRR, 2019

Structured Pruning for Efficient ConvNets via Incremental Regularization.
Proceedings of the International Joint Conference on Neural Networks, 2019

On the Generalization Gap in Reparameterizable Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Three-Dimensional Convolutional Neural Network Pruning with Regularization-Based Method.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Structured Pruning for Efficient ConvNets via Incremental Regularization.
CoRR, 2018

Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method.
CoRR, 2018

Identifying Generalization Properties in Neural Networks.
CoRR, 2018

Structured Deep Neural Network Pruning by Varying Regularization Parameters.
CoRR, 2018

Concise Convolutional Neural Network for Crowd Counting.
Proceedings of the 10th International Conference on Advanced Infocomm Technology, 2018

Structured Probabilistic Pruning for Convolutional Neural Network Acceleration.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration.
CoRR, 2017

2011
Enhanced CT Images by the Wavelet Transform Improving Diagnostic Accuracy of Chest Nodules.
J. Digit. Imaging, 2011


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