Hao Chen

264 papers · 2015–2026 · 21 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot (21) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🏠 Conference Loyalist (26) 🏆 Keyword Champion (2) 👑 Triple Crown 🧬 Topic Evolution 🏆 Grand Slam 👥 Mega-Team (53) 🌱 Topic Pioneer 🔬 Deep Specialist (25) 🤝 Dynamic Duo (42) 📈 Trend Setter ⚡ Prolific Year (33) 💎 Century Club (254) ❓ The Questioner (2) 🗃️ Keyword Collector (76) 🚀 Conference Pioneer 🔥 Unstoppable (8)

Conferences

CVPR (42) AAAI (28) NIPS (26) MICCAI (25) ICCV (25) ICLR (23) EMNLP (20) ICML (18) ACL (17) ECCV (11) IJCAI (11) WACV (6) IJCNLP (2) JMLR (2) OSDI (2) CORL (1) COLT (1) COLING (1) NAACL (1) RSS (1) SEMEVAL (1)

Top co-authors

Chunhua Shen (43) Bhiksha Raj (14) Jindong Wang (14) Yiwen Guo (12) Yongjian Deng (10) Muzhi Zhu (10) Xing Xie (9) Xiang Li (9) Chenchen Jing (8) Xiao Huang (8)

Research topics

Techniques (1) Reasoning (1)

Keywords

large language model (20) semantic segmentation (14) object detection (10) diffusion model (10) reinforcement learning (9) instance segmentation (9) convolutional neural network (9) knowledge graph (8) contrastive learning (8) depth estimation (8) representation learning (8) knowledge distillation (8) domain adaptation (7) medical imaging (6) attention mechanism (6) few-shot learning (6) video understanding (6) unsupervised learning (6) image segmentation (6) self-supervised learning (6)

Papers

Knowledge-Enhanced Explainable Prompting for Vision-Language Models AAAI 2026

LLM Collaborative Filtering: User-Item Graph as New Language AAAI 2026

Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions? AAAI 2026

You Don’t Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures AAAI 2026

ConSurv: Multimodal Continual Learning for Survival Analysis AAAI 2026

An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026

Active Multi-source Domain Adaptation for Multimodal Fake News Detection AAAI 2026

ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks AAAI 2026

Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate–Distortion Awareness AAAI 2026

AIR-DR: Adaptive Image Retargeting with Instance Relocation and Dual-guidance Repainting AAAI 2026

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics ICML 2025

3DS-VLA: A 3D Spatial-Aware Vision Language Action Model for Robust Multi-Task Manipulation CORL 2025

Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization AAAI 2025

DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation AAAI 2025

Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation AAAI 2025

TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings AAAI 2025

MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking AAAI 2025

ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance AAAI 2025

Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025

Towards Loss-Resilient Image Coding for Unstable Satellite Networks AAAI 2025

A Denoising Pre-training Framework for Accelerating Novel Material Discovery AAAI 2025

A Survey on Foundation Language Models for Single-cell Biology ACL 2025

TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems ACL 2025

Making RALM Robust to Irrelevant Contexts via Layer Knowledge Guided Attention ACL 2025

Exploring the Choice Behavior of Large Language Models ACL 2025

ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models ACL 2025

SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems ACL 2025

Text-Attributed Graph Learning with Coupled Augmentations COLING 2025

Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation CVPR 2025

Generalizable Object Keypoint Localization from Generative Priors CVPR 2025

OSV: One Step is Enough for High-Quality Image to Video Generation CVPR 2025

SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories CVPR 2025

EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights CVPR 2025

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer CVPR 2025

Distilled Prompt Learning for Incomplete Multimodal Survival Prediction CVPR 2025

PEACE: Empowering Geologic Map Holistic Understanding with MLLMs CVPR 2025

Monocular and Generalizable Gaussian Talking Head Animation CVPR 2025

FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification CVPR 2025

Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression CVPR 2025

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025

Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution CVPR 2025

Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation EMNLP 2025

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training EMNLP 2025

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025

OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework EMNLP 2025

CAARMA: Class Augmentation with Adversarial Mixup Regularization EMNLP 2025

LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains EMNLP 2025

FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation EMNLP 2025

VisualEDU: A Benchmark for Assessing Coding and Visual Comprehension through Educational Problem-Solving Video Generation EMNLP 2025

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation EMNLP 2025

DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability ICCV 2025

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025

Conditional Visual Autoregressive Modeling for Pathological Image Restoration ICCV 2025

Separation for Better Integration: Disentangling Edge and Motion in Event-based Deblurring ICCV 2025

SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting ICCV 2025

Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data ICCV 2025

UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI ICCV 2025

Unified Open-World Segmentation with Multi-Modal Prompts ICCV 2025

POMATO: Marrying Pointmap Matching with Temporal Motions for Dynamic 3D Reconstruction ICCV 2025

LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior ICLR 2025

WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning ICLR 2025

Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions ICLR 2025

What Matters When Repurposing Diffusion Models for General Dense Perception Tasks? ICLR 2025

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards ICLR 2025

MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences ICLR 2025

Framer: Interactive Frame Interpolation ICLR 2025

PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training ICLR 2025

Revisiting Convolution Architecture in the Realm of DNA Foundation Models ICLR 2025

GameGen-X: Interactive Open-world Game Video Generation ICLR 2025

ImageFolder: Autoregressive Image Generation with Folded Tokens ICLR 2025

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation ICLR 2025

Masked Autoencoders Are Effective Tokenizers for Diffusion Models ICML 2025

Rethinking the Bias of Foundation Model under Long-tailed Distribution ICML 2025

SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming ICML 2025

Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images ICML 2025

Reinforced Lifelong Editing for Language Models ICML 2025

PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model ICML 2025

Physics Aware Neural Networks for Unsupervised Binding Energy Prediction ICML 2025

Improving Multimodal Learning Balance and Sufficiency through Data Remixing ICML 2025

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning ICML 2025

Structure-Guided Large Language Models for Text-to-SQL Generation ICML 2025

Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning IJCAI 2025

DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning IJCAI 2025

MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models IJCAI 2025

A Survey of Pathology Foundation Model: Progress and Future Directions IJCAI 2025

Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation MICCAI 2025

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation MICCAI 2025

Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging MICCAI 2025

Explain Any Pathological Concept: Discovering Hierarchical Explanations for Pathology Foundation Models MICCAI 2025

Global and Local Vision-Language Alignment for Few-Shot Learning and Few-Shot OOD Detection MICCAI 2025

Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction MICCAI 2025

PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis MICCAI 2025

Object-Aware Inversion and Reassembly for Image Editing ICLR 2024

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction ICLR 2024

Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching ICLR 2024

De novo Protein Design Using Geometric Vector Field Networks ICLR 2024

Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective MICCAI 2024

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection MICCAI 2024

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition MICCAI 2024

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification MICCAI 2024

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization MICCAI 2024

FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior ECCV 2024

Prune and Repaint: Content-Aware Image Retargeting for any Ratio NIPS 2024

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024

Transformer Doctor: Diagnosing and Treating Vision Transformers NIPS 2024

KnowGPT: Knowledge Graph based Prompting for Large Language Models NIPS 2024

Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination NIPS 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NIPS 2024

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NIPS 2024

A Simple Image Segmentation Framework via In-Context Examples NIPS 2024

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NIPS 2024

A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking NIPS 2024

Fast Encoding and Decoding for Implicit Video Representation ECCV 2024

Self-Supervised Video Desmoking for Laparoscopic Surgery ECCV 2024

Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL ECCV 2024

Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts ECCV 2024

Post-hoc Part-Prototype Networks ICML 2024

Floating Anchor Diffusion Model for Multi-motif Scaffolding ICML 2024

Completing Visual Objects via Bridging Generation and Segmentation ICML 2024

A General Framework for Learning from Weak Supervision ICML 2024

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data CVPR 2024

AgentReview: Exploring Peer Review Dynamics with LLM Agents EMNLP 2024

Teaching Small Language Models Reasoning through Counterfactual Distillation EMNLP 2024

The Program Testing Ability of Large Language Models for Code EMNLP 2024

Code Representation Pre-training with Complements from Program Executions EMNLP 2024

Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search EMNLP 2024

FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition CVPR 2024

VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis CVPR 2024

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024

Revisiting Open-Set Panoptic Segmentation AAAI 2024

Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning AAAI 2024

PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024

Aligning Medical Images with General Knowledge from Large Language Models MICCAI 2024

Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model MICCAI 2024

BPaCo: Balanced Parametric Contrastive Learning for Long-tailed Medical Image Classification MICCAI 2024

Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis MICCAI 2024

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation AAAI 2024

A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning AAAI 2024

MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment AAAI 2024

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NIPS 2024

Slight Corruption in Pre-training Data Makes Better Diffusion Models NIPS 2024

Cost-efficient Knowledge-based Question Answering with Large Language Models NIPS 2024

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation NIPS 2024

You’ve Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction RSS 2024

Better Zero-Shot Reasoning with Role-Play Prompting NAACL 2024

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM ACL 2024

Video Frame Interpolation via Direct Synthesis with the Event-based Reference CVPR 2024

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024

Pixel Matching Network for Cross-Domain Few-Shot Segmentation WACV 2024

360+x: A Panoptic Multi-modal Scene Understanding Dataset CVPR 2024

LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024

Enhancing Explainable Rating Prediction through Annotated Macro Concepts ACL 2024

Conditional Diffusion Model for Versatile Temporal Inpainting in 4D Cerebral CT Perfusion Imaging MICCAI 2024

Deep Model Reference: Simple yet Effective Confidence Estimation for Image Classification MICCAI 2024

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training MICCAI 2024

Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging MICCAI 2024

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction MICCAI 2024

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification MICCAI 2024

MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology MICCAI 2024

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction MICCAI 2024

Progressive Knowledge Distillation for Automatic Perfusion Parameter Maps Generation from Low Temporal Resolution CT Perfusion Images MICCAI 2024

Improved Generation of Adversarial Examples Against Safety-aligned LLMs NIPS 2024

Generative Active Learning for Long-tailed Instance Segmentation ICML 2024

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents ICML 2024

Towards a Self-contained Data-driven Global Weather Forecasting Framework ICML 2024

R^2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations ECCV 2024

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ICLR 2024

USSA: A Unified Table Filling Scheme for Structured Sentiment Analysis ACL 2023

Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification IJCAI 2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models NIPS 2023

Rethinking and Improving Multi-task Learning for End-to-end Speech Translation EMNLP 2023

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NIPS 2023

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly NIPS 2023

Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image ICCV 2023

Cross-Modal Translation and Alignment for Survival Analysis ICCV 2023

CTVIS: Consistent Training for Online Video Instance Segmentation ICCV 2023

MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering ICCV 2023

FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models ICCV 2023

Traj-MAE: Masked Autoencoders for Trajectory Prediction ICCV 2023

Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction ICCV 2023

SegPrompt: Boosting Open-World Segmentation via Category-Level Prompt Learning ICCV 2023

Multi-view Self-supervised Disentanglement for General Image Denoising ICCV 2023

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples ICLR 2023

Squeeze Training for Adversarial Robustness ICLR 2023

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning ICLR 2023

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning ICLR 2023

Improving Adversarial Transferability via Intermediate-level Perturbation Decay NIPS 2023

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023

PromptRank: Unsupervised Keyphrase Extraction Using Prompt ACL 2023

Understanding Programs by Exploiting (Fuzzing) Test Cases ACL 2023

The NiuTrans End-to-End Speech Translation System for IWSLT23 English-to-Chinese Offline Task ACL 2023

A new ranking scheme for modern data and its application to two-sample hypothesis testing COLT 2023

Towards Scalable Neural Representation for Diverse Videos CVPR 2023

Learning Conditional Attributes for Compositional Zero-Shot Learning CVPR 2023

DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation CVPR 2023

Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures CVPR 2023

Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding CVPR 2023

Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization CVPR 2023

HNeRV: A Hybrid Neural Representation for Videos CVPR 2023

Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes CVPR 2023

Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction ACL 2022

Enhanced Representation with Contrastive Loss for Long-Tail Query Classification in e-commerce ACL 2022

NUTA: Non-Uniform Temporal Aggregation for Action Recognition WACV 2022

What To Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions CVPR 2022

An In-depth Study of Stochastic Backpropagation NIPS 2022

Uni6D: A Unified CNN Framework Without Projection Breakdown for 6D Pose Estimation CVPR 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification NIPS 2022

COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction EMNLP 2022

Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs EMNLP 2022

SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation WACV 2022

Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models CVPR 2022

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars ECCV 2022

"Unitail: Detecting, Reading, and Matching in Retail Scene" ECCV 2022

TubeR: Tubelet Transformer for Video Action Detection CVPR 2022

A Voxel Graph CNN for Object Classification With Event Cameras CVPR 2022

Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis ACL 2021

ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning IJCNLP 2021

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis IJCNLP 2021

Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021

ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning ACL 2021

Enhancing Diversity in Teacher-Student Networks via Asymmetric Branches for Unsupervised Person Re-Identification WACV 2021

AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction IJCAI 2021

ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning SEMEVAL 2021

Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification CVPR 2021

The Lottery Ticket Hypothesis for Object Recognition CVPR 2021

Generic Perceptual Loss for Modeling Structured Output Dependencies CVPR 2021

BoxInst: High-Performance Instance Segmentation With Box Annotations CVPR 2021

NeRV: Neural Representations for Videos NIPS 2021

ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification ICCV 2021

VidTr: Video Transformer Without Convolutions ICCV 2021

Selective Feature Compression for Efficient Activity Recognition Inference ICCV 2021

Long Short-Term Transformer for Online Action Detection NIPS 2021

Dialog Router: Automated Dialog Transition via Multi-Task Learning AAAI 2021

Practical No-box Adversarial Attacks against DNNs NIPS 2020

Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking ICLR 2020

Architecture Search of Dynamic Cells for Semantic Video Segmentation WACV 2020

Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification WACV 2020

Yet Another Intermediate-Level Attack ECCV 2020

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning ECCV 2020

Conditional Convolutions for Instance Segmentation ECCV 2020

Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes NIPS 2020

Backpropagating Linearly Improves Transferability of Adversarial Examples NIPS 2020

Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising CVPR 2020

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation CVPR 2020

ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network CVPR 2020

NAS-FCOS: Fast Neural Architecture Search for Object Detection CVPR 2020

Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019

FCOS: Fully Convolutional One-Stage Object Detection ICCV 2019

DeltaDou: Expert-level Doudizhu AI through Self-play IJCAI 2019

Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes ICCV 2019

Explaining Neural Networks Semantically and Quantitatively ICCV 2019

Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation IJCAI 2019

Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells CVPR 2019

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation AAAI 2019

Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection CVPR 2018

A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension EMNLP 2018

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss IJCAI 2018

Realizing the Fault-Tolerance Promise of Cloud Storage Using Locks with Intent OSDI 2016

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation CVPR 2016

CertiKOS: An Extensible Architecture for Building Certified Concurrent OS Kernels OSDI 2016

Square Localization for Efficient and Accurate Object Detection ICCV 2015