Huan Wang

88 papers · 2012–2026 · 22 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (13) 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (22) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (9) 👑 Triple Crown 👥 Mega-Team (23) 🤝 Dynamic Duo (44) 🏆 Grand Slam 🔬 Deep Specialist (13) 🗃️ Keyword Collector (313) ❓ The Questioner (2) ⚡ Prolific Year (15) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (84) 🔥 Unstoppable (8)

Conferences

NIPS (18) ICLR (15) ICML (6) ICCV (6) EMNLP (6) AAAI (6) CVPR (5) IJCAI (4) ECCV (3) ACL (3) UAI (2) NAACL (2) JMLR (2) CONLL (2) AISTATS (1) IJCNLP (1) CLEAR (1) MICCAI (1) COLT (1) EACL (1) OSDI (1) PGM (1)

Top co-authors

Caiming Xiong (44) Silvio Savarese (23) Yun Fu (22) Yu Bai (15) Shelby Heinecke (15) Jianguo Zhang (13) Zhiwei Liu (12) Weiran Yao (12) Juan Carlos Niebles (11) ZUXIN LIU (10)

Keywords

model compression (8) knowledge distillation (6) large language model (5) diffusion model (5) neural network (4) llm agent (4) efficient computing (4) sample complexity (3) network pruning (3) policy optimization (3) graph neural network (3) image super-resolution (3) representation learning (3) reinforcement learning (3) agent system (3) multimodal learning (2) data augmentation (2) unsupervised learning (2) question answering (2) anomaly detection (2)

Papers

Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating AAAI 2026

OmniBench: A Comprehensive Benchmark Integrating Real-World, Time-sensitive, and Multi-Hop Questions with a Multi-Dimensional Hybrid Evaluation Framework AAAI 2026

Toward Multimodal Fake News Detection by Multi-perspective Rationale Generation and Verification AAAI 2026

Zero-shot Recommendation: Towards Class Semantic Relation Learning for Inferring Labels of Unseen Micro-videos AAAI 2026

xLAM: A Family of Large Action Models to Empower AI Agent Systems NAACL 2025

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments NAACL 2025

FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025

Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection IJCAI 2025

Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning UAI 2025

ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs IJCAI 2025

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models CVPR 2025

On-Device Diffusion Transformer Policy for Efficient Robot Manipulation ICCV 2025

LATTE: Learning to Think with Vision Specialists EMNLP 2025

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models EMNLP 2025

Text2Data: Low-Resource Data Generation with Textual Control AAAI 2025

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data ACL 2025

Accessing Vision Foundation Models via ImageNet-1K ICLR 2025

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ACL 2025

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents ICLR 2025

SlackAgents: Scalable Collaboration of AI Agents in Workspaces EMNLP 2025

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation AAAI 2024

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent EMNLP 2024

Customized Relationship Graph Neural Network for Brain Disorder Identification MICCAI 2024

Slicing Vision Transformer for Flexible Inference NIPS 2024

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets NIPS 2024

A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging ECCV 2024

Causal Layering via Conditional Entropy CLEAR 2024

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization ICLR 2024

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent CONLL 2024

Don't Judge by the Look: Towards Motion Coherent Video Representation ICLR 2024

On the Unlikelihood of D-Separation PGM 2024

HIVE: Harnessing Human Feedback for Instructional Visual Editing CVPR 2024

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI EACL 2024

How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations ICLR 2024

Merlion: End-to-End Machine Learning for Time Series JMLR 2023

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds NIPS 2023

Latent Graph Inference with Limited Supervision NIPS 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild NIPS 2023

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NIPS 2023

Frame Flexible Network CVPR 2023

Real-Time Neural Light Field on Mobile Devices CVPR 2023

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution ICCV 2023

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies ICCV 2023

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023

Trainability Preserving Neural Pruning ICLR 2023

Image as Set of Points ICLR 2023

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis ICLR 2023

Improved Online Conformal Prediction via Strongly Adaptive Online Learning ICML 2023

Lower Bounds for Learning in Revealing POMDPs ICML 2023

What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective NIPS 2022

Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning ICLR 2022

Local calibration: metrics and recalibration UAI 2022

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain ECCV 2022

Efficient and Differentiable Conformal Prediction with General Function Classes ICLR 2022

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis ECCV 2022

WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU JMLR 2022

Recent Advances on Neural Network Pruning at Initialization IJCAI 2022

Look More but Care Less in Video Recognition NIPS 2022

Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization NIPS 2022

Parameter-Efficient Masking Networks NIPS 2022

Dual Lottery Ticket Hypothesis ICLR 2022

Neural Pruning via Growing Regularization ICLR 2021

Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NIPS 2021

Understanding the Under-Coverage Bias in Uncertainty Estimation NIPS 2021

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation NIPS 2021

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch ACL 2021

How Important is the Train-Validation Split in Meta-Learning? ICML 2021

Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification ICML 2021

Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ICML 2021

Evaluating State-of-the-Art Classification Models Against Bayes Optimality NIPS 2021

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution NIPS 2021

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch IJCNLP 2021

Context Reasoning Attention Network for Image Super-Resolution ICCV 2021

Polyjuice: High-Performance Transactions via Learned Concurrency Control OSDI 2021

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NIPS 2021

Unsupervised Paraphrasing with Pretrained Language Models EMNLP 2021

Towards Understanding Hierarchical Learning: Benefits of Neural Representations NIPS 2020

Collaborative Distillation for Ultra-Resolution Universal Style Transfer CVPR 2020

Assessing Local Generalization Capability in Deep Models AISTATS 2020

Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images ICCV 2019

On the Generalization Gap in Reparameterizable Reinforcement Learning ICML 2019

Adaptive Dropout with Rademacher Complexity Regularization ICLR 2018

A Constituent Syntactic Parse Tree Based Discourse Parser CONLL 2016

Exact Recovery of Sparsely-Used Dictionaries IJCAI 2013

Exact Recovery of Sparsely-Used Dictionaries COLT 2012