Huan Wang

Domain-Skewed Federated Learning with Feature Decoupling and Calibration CVPR 2026 EarlyTom: Early Token Compression Completes Fast Video Understanding CVPR 2026 OmniBench: A Comprehensive Benchmark Integrating Real-World, Time-sensitive, and Multi-Hop Questions with a Multi-Dimensional Hybrid Evaluation Framework AAAI 2026 OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models CVPR 2026 Parallel Jacobi Decoding for Fast Autoregressive Image Generation CVPR 2026 QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer CVPR 2026 ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps CVPR 2026 StreamingTOM: Streaming Token Compression for Efficient Video Understanding CVPR 2026 Toward Multimodal Fake News Detection by Multi-perspective Rationale Generation and Verification AAAI 2026 Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating AAAI 2026 Zero-shot Recommendation: Towards Class Semantic Relation Learning for Inferring Labels of Unseen Micro-videos AAAI 2026 ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs IJCAI 2025 Accessing Vision Foundation Models via ImageNet-1K ICLR 2025 ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025 Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning UAI 2025 CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments NAACL 2025 Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection IJCAI 2025 Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents ICLR 2025 DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models CVPR 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025 LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ACL 2025 LATTE: Learning to Think with Vision Specialists EMNLP 2025 MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models EMNLP 2025 On-Device Diffusion Transformer Policy for Efficient Robot Manipulation ICCV 2025 PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data ACL 2025 SlackAgents: Scalable Collaboration of AI Agents in Workspaces EMNLP 2025 Text2Data: Low-Resource Data Generation with Textual Control AAAI 2025 xLAM: A Family of Large Action Models to Empower AI Agent Systems NAACL 2025 APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets NeurIPS 2024 A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging ECCV 2024 Causal Layering via Conditional Entropy CLeaR 2024 Customized Relationship Graph Neural Network for Brain Disorder Identification MICCAI 2024 DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI EACL 2024 Don't Judge by the Look: Towards Motion Coherent Video Representation ICLR 2024 HIVE: Harnessing Human Feedback for Instructional Visual Editing CVPR 2024 How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations ICLR 2024 On the Unlikelihood of D-Separation PGM 2024 PRACT: Optimizing Principled Reasoning and Acting of LLM Agent CoNLL 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization ICLR 2024 Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024 Slicing Vision Transformer for Flexible Inference NeurIPS 2024 Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation AAAI 2024 CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis ICLR 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023 Frame Flexible Network CVPR 2023 Image as Set of Points ICLR 2023 Improved Online Conformal Prediction via Strongly Adaptive Online Learning ICML 2023 Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution ICCV 2023 Latent Graph Inference with Limited Supervision NeurIPS 2023 Lower Bounds for Learning in Revealing POMDPs ICML 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 Real-Time Neural Light Field on Mobile Devices CVPR 2023 Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies ICCV 2023 SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds NeurIPS 2023 Trainability Preserving Neural Pruning ICLR 2023 Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NeurIPS 2023 UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild NeurIPS 2023 Dual Lottery Ticket Hypothesis ICLR 2022 Efficient and Differentiable Conformal Prediction with General Function Classes ICLR 2022 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization NeurIPS 2022 Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning ICLR 2022 Local calibration: metrics and recalibration UAI 2022 Look More but Care Less in Video Recognition NeurIPS 2022 Parameter-Efficient Masking Networks NeurIPS 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 2022 Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain ECCV 2022 R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis ECCV 2022 Recent Advances on Neural Network Pruning at Initialization IJCAI 2022 WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU JMLR 2022 What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective NeurIPS 2022 Aligned Structured Sparsity Learning for Efficient Image Super-Resolution NeurIPS 2021 BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch ACL 2021 Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ICML 2021 Context Reasoning Attention Network for Image Super-Resolution ICCV 2021 Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification ICML 2021 Evaluating State-of-the-Art Classification Models Against Bayes Optimality NeurIPS 2021 How Important is the Train-Validation Split in Meta-Learning? ICML 2021 Neural Pruning via Growing Regularization ICLR 2021 Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NeurIPS 2021 Polyjuice: High-Performance Transactions via Learned Concurrency Control OSDI 2021 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NeurIPS 2021 Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation NeurIPS 2021 Understanding the Under-Coverage Bias in Uncertainty Estimation NeurIPS 2021 Unsupervised Paraphrasing with Pretrained Language Models EMNLP 2021 Assessing Local Generalization Capability in Deep Models AISTATS 2020 Collaborative Distillation for Ultra-Resolution Universal Style Transfer CVPR 2020 Towards Understanding Hierarchical Learning: Benefits of Neural Representations NeurIPS 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