Hao Wang

308 papers · 2007–2026 · 21 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (43) 🐝 Cross-Pollinator (13) 🏃 Academic Marathon (19) 🌍 Conference Polyglot (21) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (44) 🏆 Keyword Champion 🤝 Dynamic Duo (12) 🏆 Grand Slam 👑 Triple Crown 👥 Mega-Team (35) 🌱 Topic Pioneer 🔬 Deep Specialist (26) ❓ The Questioner (3) 🗃️ Keyword Collector (98) 🚀 Conference Pioneer 💎 Century Club (286) 🔥 Unstoppable (15) 📈 Trend Setter ⚡ Prolific Year (21)

Conferences

AAAI (66) NIPS (33) EMNLP (32) CVPR (24) IJCAI (22) ICML (21) ICLR (20) ICCV (18) ACL (17) COLING (15) ECCV (8) NAACL (7) NSDI (6) INTERSPEECH (5) JMLR (4) WACV (4) ACML (2) CONLL (1) IJCNLP (1) MICCAI (1) UAI (1)

Top co-authors

Yang Hua (13) Tao Song (11) Haibing Guan (10) Hengguan Huang (9) Enhong Chen (9) Ruhui Ma (8) Hao He (7) Qi Liu (7) Zhengui XUE (7) Chengzhi Mao (7)

Research topics

Privacy (2) Education (2) Computer Vision (1) Applications (1) Digital Humanities (1)

Keywords

large language model (38) federated learning (12) domain adaptation (11) diffusion model (11) neural network (10) adversarial learning (9) knowledge graph (9) graph neural network (8) contrastive learning (8) variational inference (7) convolutional neural network (7) causal inference (7) reinforcement learning (7) question answering (7) multimodal learning (7) adversarial attack (7) multi-agent system (7) semantic segmentation (6) language model (6) bayesian inference (6)

Papers

HTTrack: Learning to Perceive Targets via Historical Trajectories in Satellite Video Tracking AAAI 2026

Semantic Feature Purification for Adversarially-Aware RGB-T Tracking AAAI 2026

VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction AAAI 2026

Perceptual Quality Assessment of 3D Gaussian Splatting: A Subjective Dataset and Prediction Metric AAAI 2026

FastAnimate: Towards Learnable Template Construction and Pose Deformation for Fast 3D Human Avatar Animation AAAI 2026

Talk2Code: A Multi-Turn Interaction Benchmark with Dual-Track Evaluation for Code Generation AAAI 2026

Dual-Horizon Interest Model for Unified Search and Recommendation AAAI 2026

Integral-based Knockoffs Inference for Partially Linear Models AAAI 2026

X-SAM: From Segment Anything to Any Segmentation AAAI 2026

Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation AAAI 2026

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026

RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow Matching AAAI 2026

ManipDreamer3D: Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory AAAI 2026

Dep-MAP: A Multi-level Alignment Framework with Semantic Prototypes for Video-based Automatic Depression Assessment AAAI 2026

MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction AAAI 2026

iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification AAAI 2026

Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026

RobustFormer: Noise-Robust Pre-training for Images and Videos WACV 2026

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026

Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub AAAI 2026

UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning AAAI 2026

Inference Scaling Law for Retrieval Augmented Generation AAAI 2026

Disentangled Hypergraph-Guided Mamba Scanning for Fine-Grained Visual Recognition AAAI 2026

Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026

DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak EMNLP 2025

VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft EMNLP 2025

pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025

Beyond the Surface: Measuring Self-Preference in LLM Judgments EMNLP 2025

CompKBQA: Component-wise Task Decomposition for Knowledge Base Question Answering EMNLP 2025

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition CVPR 2025

StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements CVPR 2025

MultiGO: Towards Multi-level Geometry Learning for Monocular 3D Textured Human Reconstruction CVPR 2025

SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models WACV 2025

UCL-Bench: A Chinese User-Centric Legal Benchmark for Large Language Models NAACL 2025

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability NAACL 2025

Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models NAACL 2025

PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025

PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models IJCAI 2025

FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025

Learning Robust Multi-view Representation Using Dual-masked VAEs IJCAI 2025

Guiding LLM-based Smart Contract Generation with Finite State Machine IJCAI 2025

Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior IJCAI 2025

RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming IJCAI 2025

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models ICML 2025

Concept-Based Unsupervised Domain Adaptation ICML 2025

Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning ICML 2025

ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization ICML 2025

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering ICML 2025

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint ICML 2025

OmniArch: Building Foundation Model for Scientific Computing ICML 2025

Towards Domain Adaptive Neural Contextual Bandits ICLR 2025

Implicit In-context Learning ICLR 2025

An Engorgio Prompt Makes Large Language Model Babble on ICLR 2025

Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models AAAI 2025

SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction AAAI 2025

Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectiﬁcation for BCI-based Few-Shot Learning AAAI 2025

Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences AAAI 2025

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery AAAI 2025

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems AAAI 2025

Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting ICLR 2025

GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs ICLR 2025

NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics ICLR 2025

On Calibration of LLM-based Guard Models for Reliable Content Moderation ICLR 2025

Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models ACL 2025

Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning ACL 2025

StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs ACL 2025

RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery ACL 2025

DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios ACL 2025

MERIT: Multi-Agent Collaboration for Unsupervised Time Series Representation Learning ACL 2025

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents ACL 2025

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs ICLR 2025

FreDF: Learning to Forecast in the Frequency Domain ICLR 2025

Optimal Transport for Time Series Imputation ICLR 2025

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

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis ICCV 2025

AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference ICCV 2025

Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching COLING 2025

Knowledge Graph Entity Typing with Curriculum Contrastive Learning COLING 2025

AHVE-CNER: Aligned Hanzi Visual Encoding Enhance Chinese Named Entity Recognition with Multi-Information COLING 2025

Enhancing Extractive Question Answering in Multiparty Dialogues with Logical Inference Memory Network COLING 2025

LAiW: A Chinese Legal Large Language Models Benchmark COLING 2025

Loki: An Open-Source Tool for Fact Verification COLING 2025

IntelliChain Stars at the Regulations Challenge Task: A Large Language Model for Financial Regulation COLING 2025

Enhancing Participatory Development Research in South Asia through LLM Agents System: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri Lankan COLING 2025

Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025

Knowledge-Guided Part Segmentation ICCV 2025

Outdoor Monocular SLAM with Global Scale-Consistent 3D Gaussian Pointmaps ICCV 2025

PhysSplat: Efficient Physics Simulation for 3D Scenes via MLLM-Guided Gaussian Splatting ICCV 2025

RegGS: Unposed Sparse Views Gaussian Splatting with 3DGS Registration ICCV 2025

Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding EMNLP 2025

IoTMigrator: LLM-driven Embedded IoT Code Migration across Different OSes for Cloud-device Integration EMNLP 2025

Hopscotch: Discovering and Skipping Redundancies in Language Models EMNLP 2025

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks EMNLP 2025

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment EMNLP 2025

Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation EMNLP 2025

Path-enhanced Pre-trained Language Model for Knowledge Graph Completion EMNLP 2025

GRV-KBQA: A Three-Stage Framework for Knowledge Base Question Answering with Decoupled Logical Structure, Semantic Grounding and Structure-Aware Validation EMNLP 2025

TLUE: A Tibetan Language Understanding Evaluation Benchmark EMNLP 2025

InterIDEAS: Philosophical Intertextuality via LLMs EMNLP 2025

ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling NIPS 2024

Natural Counterfactuals With Necessary Backtracking NIPS 2024

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NIPS 2024

Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation NIPS 2024

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024

FinBen: A Holistic Financial Benchmark for Large Language Models NIPS 2024

HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection NIPS 2024

GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes NIPS 2024

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective NIPS 2024

Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training NIPS 2024

FedST: Federated Style Transfer Learning for Non-IID Image Segmentation AAAI 2024

B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation AAAI 2024

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization AAAI 2024

DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding AAAI 2024

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives AAAI 2024

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees AAAI 2024

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing AAAI 2024

Learning to Prompt Knowledge Transfer for Open-World Continual Learning AAAI 2024

Gradient-Guided Modality Decoupling for Missing-Modality Robustness AAAI 2024

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification AAAI 2024

Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning AAAI 2024

Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024

NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack AAAI 2024

Virtual Compiler Is All You Need For Assembly Code Search ACL 2024

Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training ACL 2024

Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System ACL 2024

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ACL 2024

SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognition ACL 2024

Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation ACL 2024

Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models COLING 2024

MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction COLING 2024

Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion CVPR 2024

SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks ECCV 2024

Beyond MOT: Semantic Multi-Object Tracking ECCV 2024

Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder ECCV 2024

LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024

GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration EMNLP 2024

Variational Language Concepts for Interpreting Foundation Language Models EMNLP 2024

A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval EMNLP 2024

Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering EMNLP 2024

MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models EMNLP 2024

Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance EMNLP 2024

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss ICLR 2024

MaGIC: Multi-modality Guided Image Completion ICLR 2024

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers ICLR 2024

Continuous Invariance Learning ICLR 2024

Raidar: geneRative AI Detection viA Rewriting ICLR 2024

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations ICLR 2024

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning ICML 2024

Delving into Differentially Private Transformer ICML 2024

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models ICML 2024

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization ICML 2024

Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods IJCAI 2024

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024

Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis INTERSPEECH 2024

Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization JMLR 2024

Noise Removed Inconsistency Activation Map for Unsupervised Registration of Brain Tumor MRI between Pre-operative and Follow-up Phases MICCAI 2024

Separation and Fusion: A Novel Multiple Token Linking Model for Event Argument Extraction NAACL 2024

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation NAACL 2024

LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud NAACL 2024

A Benchmark Suite of Japanese Natural Questions NAACL 2024

Accelerating Neural Recommendation Training with Embedding Scheduling NSDI 2024

SMUFF: Towards Line Rate Wi-Fi Direct Transport with Orchestrated On-device Buffer Management NSDI 2024

Towards Domain-Specific Network Transport for Distributed DNN Training NSDI 2024

Quantifying Representation Reliability in Self-Supervised Learning Models UAI 2024

Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting WACV 2024

UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast AAAI 2023

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning ICCV 2023

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation ICCV 2023

Landscape Learning for Neural Network Inversion ICCV 2023

DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading EMNLP 2023

Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning EMNLP 2023

TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision CVPR 2023

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection ICLR 2023

Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation ICLR 2023

PreDiff: Precipitation Nowcasting with Latent Diffusion Models NIPS 2023

Analyzing Generalization of Neural Networks through Loss Path Kernels NIPS 2023

Post-processing Private Synthetic Data for Improving Utility on Selected Measures NIPS 2023

UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction NIPS 2023

Optimal Transport for Treatment Effect Estimation NIPS 2023

Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023

Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models ACL 2023

Eliminating Domain Bias for Federated Learning in Representation Space NIPS 2023

Fully Online Matching with Stochastic Arrivals and Departures AAAI 2023

FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023

Harnessing the Plug-and-Play Controller by Prompting EMNLP 2023

Taxonomy-Structured Domain Adaptation ICML 2023

Robust Perception through Equivariance ICML 2023

Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023

Adapting Fairness Interventions to Missing Values NIPS 2023

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NIPS 2023

Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting NIPS 2023

FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023

GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM AAAI 2023

A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm NIPS 2023

Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NIPS 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification IJCAI 2023

Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate AAAI 2022

Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values AAAI 2022

ProtGNN: Towards Self-Explaining Graph Neural Networks AAAI 2022

Seizing Critical Learning Periods in Federated Learning AAAI 2022

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection NIPS 2022

Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer CVPR 2022

Causal Transportability for Visual Recognition CVPR 2022

“My nose is running.” “Are you also coughing?”: Building A Medical Diagnosis Agent with Interpretable Inquiry Logics IJCAI 2022

FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting IJCAI 2022

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks CVPR 2022

Knowledge Mining With Scene Text for Fine-Grained Recognition CVPR 2022

Bayesian Invariant Risk Minimization CVPR 2022

DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow CVPR 2022

Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022

Domain Adaptation for Time Series Forecasting via Attention Sharing ICML 2022

Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss AAAI 2022

Multi-scale Progressive Gated Transformer for Physiological Signal Classification ACML 2022

Real-Time Driver-Request Assignment in Ridesourcing AAAI 2022

R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference EMNLP 2022

Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations ECCV 2022

"On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond" ECCV 2022

IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification COLING 2022

Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022

Density-driven Regularization for Out-of-distribution Detection NIPS 2022

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting NIPS 2022

Graph-Relational Domain Adaptation ICLR 2022

Toward Knowledge-Enriched Conversational Recommendation Systems ACL 2022

Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022

Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation NIPS 2022

Generative Interventions for Causal Learning CVPR 2021

Structured Multi-Level Interaction Network for Video Moment Localization via Language Query CVPR 2021

LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution CVPR 2021

Paint Transformer: Feed Forward Neural Painting With Stroke Prediction ICCV 2021

Adversarial Attacks Are Reversible With Natural Supervision ICCV 2021

Self-Supervised Vessel Segmentation via Adversarial Learning ICCV 2021

Context-Sensitive Temporal Feature Learning for Gait Recognition ICCV 2021

Correcting Exposure Bias for Link Recommendation ICML 2021

STRODE: Stochastic Boundary Ordinary Differential Equation ICML 2021

Delving into Deep Imbalanced Regression ICML 2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions IJCAI 2021

Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval IJCAI 2021

GraphMI: Extracting Private Graph Data from Graph Neural Networks IJCAI 2021

CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts AAAI 2021

Keyword-Guided Neural Conversational Model AAAI 2021

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem AAAI 2021

Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NIPS 2021

Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage AAAI 2021

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction NIPS 2021

Face Forgery Detection by 3D Decomposition CVPR 2021

Scene Text Retrieval via Joint Text Detection and Similarity Learning CVPR 2021

Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval IJCAI 2020

Contextualized Point-of-Interest Recommendation IJCAI 2020

Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion INTERSPEECH 2020

Bayes-enhanced Lifelong Attention Networks for Sentiment Classification COLING 2020

U-Net Based Direct-Path Dominance Test for Robust Direction-of-Arrival Estimation INTERSPEECH 2020

SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds CVPR 2020

All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting AAAI 2020

Argumentation Mining on Essays at Multi Scales COLING 2020

Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries AAAI 2020

Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction ECCV 2020

Structure-Aware Generation Network for Recipe Generation from Images ECCV 2020

Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification ACL 2020

Deep Graph Random Process for Relational-Thinking-Based Speech Recognition ICML 2020

Towards Persona-Based Empathetic Conversational Models EMNLP 2020

Continuously Indexed Domain Adaptation ICML 2020

Decorrelated Adversarial Learning for Age-Invariant Face Recognition CVPR 2019

Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions ICML 2019

Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition ICCV 2019

Learning with Noisy Labels for Sentence-level Sentiment Classification IJCNLP 2019

Fast Learning for Non-Parallel Many-to-Many Voice Conversion with Residual Star Generative Adversarial Networks INTERSPEECH 2019

Forward and Backward Knowledge Transfer for Sentiment Classification ACML 2019

Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019

Recurrent Poisson Process Unit for Speech Recognition AAAI 2019

ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019

Rethinking Knowledge Graph Propagation for Zero-Shot Learning CVPR 2019

Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019

Learning with Noisy Labels for Sentence-level Sentiment Classification EMNLP 2019

Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query ICCV 2019

Monoxide: Scale out Blockchains with Asynchronous Consensus Zones NSDI 2019

Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification AAAI 2019

Measuring Structural Similarities in Finite MDPs IJCAI 2019

Spectral Perturbation Meets Incomplete Multi-view Data IJCAI 2019

Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation IJCAI 2018

A Neural Question Answering Model Based on Semi-Structured Tables COLING 2018

Multi-Scale Location-Aware Kernel Representation for Object Detection CVPR 2018

CosFace: Large Margin Cosine Loss for Deep Face Recognition CVPR 2018

Redundancy-resistant Generative Hashing for Image Retrieval IJCAI 2018

Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition ECCV 2018

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model NIPS 2017

Real-Time Neural Style Transfer for Videos CVPR 2017

Using Argument-based Features to Predict and Analyse Review Helpfulness EMNLP 2017

A Transition-based System for Universal Dependency Parsing CONLL 2017

Detecting Faces Using Inside Cascaded Contextual CNN ICCV 2017

Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016

Online Reconstruction of Indoor Scenes From RGB-D Streams CVPR 2016

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NIPS 2016

Personalized, Cross-Lingual TTS Using Phonetic Posteriorgrams INTERSPEECH 2016

Explicit Path Control in Commodity Data Centers: Design and Applications NSDI 2015

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NIPS 2015

Information-Agnostic Flow Scheduling for Commodity Data Centers NSDI 2015

A Sentiment-aligned Topic Model for Product Aspect Rating Prediction EMNLP 2014

Collaborative Topic Regression with Social Regularization for Tag Recommendation IJCAI 2013

Online Egocentric Models for Citation Networks IJCAI 2013

A Dataset for Research on Short-Text Conversations EMNLP 2013

A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle ACL 2012

Parallelizing Support Vector Machines on Distributed Computers NIPS 2007