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 100 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent.

[BibT_eX]

[DOI]

CoRR, 2024

LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field.

[BibT_eX]

[DOI]

CoRR, 2024

xLAM: A Family of Large Action Models to Empower AI Agent Systems.

[BibT_eX]

[DOI]

CoRR, 2024

xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations.

[BibT_eX]

[DOI]

Can Qin

Congying Xia

Krithika Ramakrishnan

CoRR, 2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, 2024

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.

[BibT_eX]

[DOI]

CoRR, 2024

Accessing Vision Foundation Models at ImageNet-level Costs.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Rithesh Murthy

Liangwei Yang

Juntao Tan

Tulika Manoj Awalgaonkar

CoRR, 2024

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

[BibT_eX]

[DOI]

Prafulla Kumar Choubey

CoRR, 2024

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

[BibT_eX]

[DOI]

Tulika Manoj Awalgaonkar

CoRR, 2024

Text2Data: Low-Resource Data Generation with Textual Control.

[BibT_eX]

[DOI]

CoRR, 2024

Editing Arbitrary Propositions in LLMs without Subject Labels.

[BibT_eX]

[DOI]

CoRR, 2024

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Towards Real-time Video Compressive Sensing on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Don't Judge by the Look: Towards Motion Coherent Video Representation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

HIVE: Harnessing Human Feedback for Instructional Visual Editing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Causal Layering via Conditional Entropy.

[BibT_eX]

[DOI]

Proceedings of the Causal Learning and Reasoning, 2024

2023

Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Merlion: End-to-End Machine Learning for Time Series.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

REX: Rapid Exploration and eXploitation for AI Agents.

[BibT_eX]

[DOI]

CoRR, 2023

On the Unlikelihood of D-Separation.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Improved Online Conformal Prediction via Strongly Adaptive Online Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Trainability Preserving Neural Pruning.

[BibT_eX]

[DOI]

Huan Wang

Yun Fu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Image as Set of Points.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Momentum is All You Need for Data-Driven Adaptive Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Frame Flexible Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Real-Time Neural Light Field on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Semi-Supervised Domain Adaptive Structure Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Trainability Preserving Neural Structured Pruning.

[BibT_eX]

[DOI]

Huan Wang

Yun Fu

CoRR, 2022

A Conversational Paradigm for Program Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Local calibration: metrics and recalibration.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Policy Optimization for Markov Games: Unified Framework and Faster Convergence.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Parameter-Efficient Masking Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Dual Lottery Ticket Hypothesis.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient and Differentiable Conformal Prediction with General Function Classes.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Merlion: A Machine Learning Library for Time Series.

[BibT_eX]

[DOI]

CoRR, 2021

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamical Isometry: The Missing Ingredient for Neural Network Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

Emerging Paradigms of Neural Network Pruning.

[BibT_eX]

[DOI]

CoRR, 2021

Localized Calibration: Metrics and Recalibration.

[BibT_eX]

[DOI]

CoRR, 2021

Contradictory Structure Learning for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Stanislaw Jastrzebski

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.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

How Important is the Train-Validation Split in Meta-Learning?

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Pruning via Growing Regularization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Context Reasoning Attention Network for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Multi-head Knowledge Distillation for Model Compression.

[BibT_eX]

[DOI]

CoRR, 2020

Knowledge Distillation Thrives on Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Opposite Structure Learning for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Understanding Hierarchical Learning: Benefits of Neural Representations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Collaborative Distillation for Ultra-Resolution Universal Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Assessing Local Generalization Capability in Deep Models.

[BibT_eX]

[DOI]

Huan Wang

Nitish Shirish Keskar

Caiming Xiong

Richard Socher

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.

[BibT_eX]

[DOI]

CoRR, 2019

Global Capacity Measures for Deep ReLU Networks via Path Sampling.

[BibT_eX]

[DOI]

Ryan Theisen

Jason M. Klusowski

Huan Wang

Nitish Shirish Keskar

Caiming Xiong

Richard Socher

CoRR, 2019

Triplet Distillation for Deep Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

Structured Pruning for Efficient ConvNets via Incremental Regularization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

On the Generalization Gap in Reparameterizable Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Structured Pruning for Efficient ConvNets via Incremental Regularization.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Identifying Generalization Properties in Neural Networks.

[BibT_eX]

[DOI]

Huan Wang

Nitish Shirish Keskar

Caiming Xiong

Richard Socher

CoRR, 2018

Structured Deep Neural Network Pruning by Varying Regularization Parameters.

[BibT_eX]

[DOI]

CoRR, 2018

Concise Convolutional Neural Network for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Advanced Infocomm Technology, 2018

Structured Probabilistic Pruning for Convolutional Neural Network Acceleration.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration.

[BibT_eX]

[DOI]

CoRR, 2017

2011

Enhanced CT Images by the Wavelet Transform Improving Diagnostic Accuracy of Chest Nodules.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2011

Huan Wang

Timeline

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