Hao Wang

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026 Poisoning with a Pill: Circumventing Detection in Federated Learning 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 Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration ACL 2026 SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility ACL 2026 Explain the Synth: Interpretable Evaluation of LLM Data Synthesis ACL 2026 AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters ACL 2026 The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG ACL 2026 SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety Memory ACL 2026 MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction AAAI 2026 Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026 RobustFormer: Noise-Robust Pre-training for Images and Videos WACV 2026 Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub AAAI 2026 Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation 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 Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs ACL 2026 Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models ACL 2026 M2PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation ACL 2026 MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents ACL 2026 From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models ACL 2026 Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation ACL 2026 FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning ACL 2026 BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook ACL 2026 X-SAM: From Segment Anything to Any Segmentation AAAI 2026 The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games ACL 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 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 SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection ACL 2026 BabelDOC: Better Layout-Preserving PDF Translation via Intermediate Representation ACL 2026 Disentangled Hypergraph-Guided Mamba Scanning for Fine-Grained Visual Recognition AAAI 2026 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 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 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 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 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 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 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 An Engorgio Prompt Makes Large Language Model Babble on ICLR 2025 Implicit In-context Learning ICLR 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 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 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 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 Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition CVPR 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 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 CompKBQA: Component-wise Task Decomposition for Knowledge Base Question Answering EMNLP 2025 Beyond the Surface: Measuring Self-Preference in LLM Judgments EMNLP 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 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 Raidar: geneRative AI Detection viA Rewriting ICLR 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 ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings 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 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 KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification IJCAI 2023 Landscape Learning for Neural Network Inversion ICCV 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 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 A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation ICCV 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 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning ICCV 2023 UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction NIPS 2023 Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning EMNLP 2023 DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading EMNLP 2023 Harnessing the Plug-and-Play Controller by Prompting EMNLP 2023 UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast AAAI 2023 GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM AAAI 2023 FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 Fully Online Matching with Stochastic Arrivals and Departures AAAI 2023 Optimal Transport for Treatment Effect Estimation NIPS 2023 Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023 Eliminating Domain Bias for Federated Learning in Representation Space NIPS 2023 Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models ACL 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 Seizing Critical Learning Periods in Federated Learning AAAI 2022 Causal Transportability for Visual Recognition CVPR 2022 Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer CVPR 2022 DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow CVPR 2022 Bayesian Invariant Risk Minimization CVPR 2022 Knowledge Mining With Scene Text for Fine-Grained Recognition CVPR 2022 OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks CVPR 2022 Graph-Relational Domain Adaptation ICLR 2022 Domain Adaptation for Time Series Forecasting via Attention Sharing ICML 2022 IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification COLING 2022 FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting IJCAI 2022 “My nose is running.” “Are you also coughing?”: Building A Medical Diagnosis Agent with Interpretable Inquiry Logics IJCAI 2022 Multi-scale Progressive Gated Transformer for Physiological Signal Classification ACML 2022 Toward Knowledge-Enriched Conversational Recommendation Systems ACL 2022 Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022 Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection NIPS 2022 Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation NIPS 2022 Earthformer: Exploring Space-Time Transformers for Earth System Forecasting NIPS 2022 Density-driven Regularization for Out-of-distribution Detection NIPS 2022 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 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 Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022 Real-Time Driver-Request Assignment in Ridesourcing AAAI 2022 Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss 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 Self-Supervised Vessel Segmentation via Adversarial Learning ICCV 2021 Context-Sensitive Temporal Feature Learning for Gait Recognition ICCV 2021 Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NIPS 2021 CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts AAAI 2021 Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval IJCAI 2021 Keyword-Guided Neural Conversational Model AAAI 2021 Structured Multi-Level Interaction Network for Video Moment Localization via Language Query CVPR 2021 Face Forgery Detection by 3D Decomposition CVPR 2021 Delving into Deep Imbalanced Regression ICML 2021 Motif-based Graph Self-Supervised Learning for Molecular Property Prediction NIPS 2021 Generative Interventions for Causal Learning CVPR 2021 Scene Text Retrieval via Joint Text Detection and Similarity Learning CVPR 2021 Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage AAAI 2021 Themis: A Fair Evaluation Platform for Computer Vision Competitions IJCAI 2021 LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution CVPR 2021 Correcting Exposure Bias for Link Recommendation ICML 2021 Paint Transformer: Feed Forward Neural Painting With Stroke Prediction ICCV 2021 HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem AAAI 2021 Adversarial Attacks Are Reversible With Natural Supervision ICCV 2021 GraphMI: Extracting Private Graph Data from Graph Neural Networks IJCAI 2021 STRODE: Stochastic Boundary Ordinary Differential Equation ICML 2021 SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds CVPR 2020 Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion INTERSPEECH 2020 U-Net Based Direct-Path Dominance Test for Robust Direction-of-Arrival Estimation INTERSPEECH 2020 Deep Graph Random Process for Relational-Thinking-Based Speech Recognition ICML 2020 Contextualized Point-of-Interest Recommendation IJCAI 2020 Towards Persona-Based Empathetic Conversational Models EMNLP 2020 Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval IJCAI 2020 Bayes-enhanced Lifelong Attention Networks for Sentiment Classification COLING 2020 Structure-Aware Generation Network for Recipe Generation from Images ECCV 2020 Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction ECCV 2020 Continuously Indexed Domain Adaptation ICML 2020 Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification ACL 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 All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting AAAI 2020 Learning with Noisy Labels for Sentence-level Sentiment Classification IJCNLP 2019 Forward and Backward Knowledge Transfer for Sentiment Classification ACML 2019 Fast Learning for Non-Parallel Many-to-Many Voice Conversion with Residual Star Generative Adversarial Networks INTERSPEECH 2019 Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions ICML 2019 Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019 Decorrelated Adversarial Learning for Age-Invariant Face Recognition CVPR 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 Monoxide: Scale out Blockchains with Asynchronous Consensus Zones NSDI 2019 Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition ICCV 2019 Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query ICCV 2019 Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification AAAI 2019 Recurrent Poisson Process Unit for Speech Recognition AAAI 2019 Spectral Perturbation Meets Incomplete Multi-view Data IJCAI 2019 Measuring Structural Similarities in Finite MDPs IJCAI 2019 Learning with Noisy Labels for Sentence-level Sentiment Classification EMNLP 2019 Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition ECCV 2018 Multi-Scale Location-Aware Kernel Representation for Object Detection CVPR 2018 Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation IJCAI 2018 Redundancy-resistant Generative Hashing for Image Retrieval IJCAI 2018 A Neural Question Answering Model Based on Semi-Structured Tables COLING 2018 CosFace: Large Margin Cosine Loss for Deep Face Recognition CVPR 2018 Real-Time Neural Style Transfer for Videos CVPR 2017 A Transition-based System for Universal Dependency Parsing CONLL 2017 Detecting Faces Using Inside Cascaded Contextual CNN ICCV 2017 Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model NIPS 2017 Using Argument-based Features to Predict and Analyse Review Helpfulness EMNLP 2017 Online Reconstruction of Indoor Scenes From RGB-D Streams CVPR 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016 Personalized, Cross-Lingual TTS Using Phonetic Posteriorgrams INTERSPEECH 2016 Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NIPS 2016 Information-Agnostic Flow Scheduling for Commodity Data Centers NSDI 2015 Explicit Path Control in Commodity Data Centers: Design and Applications NSDI 2015 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NIPS 2015 A Sentiment-aligned Topic Model for Product Aspect Rating Prediction EMNLP 2014 A Dataset for Research on Short-Text Conversations EMNLP 2013 Online Egocentric Models for Citation Networks IJCAI 2013 Collaborative Topic Regression with Social Regularization for Tag Recommendation IJCAI 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