Jie Wang

CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables ACL 2026 S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning AAAI 2026 Mitigating Hallucinations in Large Language Models via Causal Reasoning AAAI 2026 Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement ICLR 2025 Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming ICLR 2025 Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models ICLR 2025 A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution ICLR 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning ICLR 2025 Accurate and Scalable Graph Neural Networks via Message Invariance ICLR 2025 Differentiable Integer Linear Programming ICLR 2025 Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting MICCAI 2025 Uncertainty-guided Graph Contrastive Learning from a Unified Perspective IJCAI 2025 Accelerating Large Language Model Reasoning via Speculative Search ICML 2025 Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances ICML 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples ICML 2025 ROPO: Robust Preference Optimization for Large Language Models ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning UAI 2025 WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training OSDI 2025 Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning AAAI 2025 Language Pre-training Guided Masking Representation Learning for Time Series Classification AAAI 2025 InstantPainting: Expanding GANs for Efficient Text-Conditioned Image Generation Platform AAAI 2025 A Multi-Style Chinese Characters Writing Intelligent Tool Based on Small-scale Training Data AAAI 2025 RolePlot: A Systematic Framework for Evaluating and Enhancing the Plot-Progression Capabilities of Role-Playing Agents ACL 2025 Visual Consensus Prompting for Co-Salient Object Detection CVPR 2025 TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025 Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts EMNLP 2025 DVAGen: Dynamic Vocabulary Augmented Generation EMNLP 2025 VENUS: A VLLM-driven Video Content Discovery System for Real Application Scenarios EMNLP 2025 A Category-Theoretic Approach to Neural-Symbolic Task Planning with Bidirectional Search EMNLP 2025 From Gaze to Movement: Predicting Visual Attention for Autonomous Driving Human-Machine Interaction based on Programmatic Imitation Learning ICCV 2025 A Structure-aware and Motion-adaptive Framework for 3D Human Pose Estimation with Mamba ICCV 2025 PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition ICLR 2025 High-Fidelity Unified One-to-Many Medical Image Synthesis via Text-Conditioned Latent Diffusion MICCAI 2025 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework ICLR 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024 MILP-StuDio: MILP Instance Generation via Block Structure Decomposition NIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework NIPS 2024 Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions NIPS 2024 Neural Krylov Iteration for Accelerating Linear System Solving NIPS 2024 FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding NIPS 2024 Accelerating PDE Data Generation via Differential Operator Action in Solution Space ICML 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design ICML 2024 Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information MICCAI 2024 SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph ACL 2024 Revisiting Interpolation Augmentation for Speech-to-Text Generation ACL 2024 Length Generalization of Causal Transformers without Position Encoding ACL 2024 Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling ICLR 2024 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design ICML 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models ICML 2024 AntLM: Bridging Causal and Masked Language Models CONLL 2024 YNU-HPCC at SemEval-2024 Task 9: Using Pre-trained Language Models with LoRA for Multiple-choice Answering Tasks SEMEVAL 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph ICML 2024 Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming AAAI 2024 YNU-HPCC at SemEval-2024 Task 9: Using Pre-trained Language Models with LoRA for Multiple-choice Answering Tasks NAACL 2024 Reinforcement Learning within Tree Search for Fast Macro Placement ICML 2024 Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken ECCV 2024 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model ICLR 2023 Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction NIPS 2023 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability NIPS 2023 State Sequences Prediction via Fourier Transform for Representation Learning NIPS 2023 Contextual Stochastic Bilevel Optimization NIPS 2023 Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval AAAI 2023 Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions AAAI 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning AAAI 2023 Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions ICCV 2023 De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023 LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence ICLR 2023 Learning robust representation for reinforcement learning with distractions by reward sequence prediction UAI 2023 Towards Video Text Visual Question Answering: Benchmark and Baseline NIPS 2022 TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network INTERSPEECH 2022 Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation IJCAI 2022 C3-STISR: Scene Text Image Super-resolution with Triple Clues IJCAI 2022 Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion INTERSPEECH 2022 Spatial-aware Speaker Diarizaiton for Multi-channel Multi-party Meeting INTERSPEECH 2022 The NiuTrans Machine Translation Systems for WMT22 EMNLP 2022 FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds ECCV 2022 PICA: Point-Wise Instance and Centroid Alignment Based Few-Shot Domain Adaptive Object Detection With Loose Annotations WACV 2022 Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection COLING 2022 Two-Sample Test with Kernel Projected Wasserstein Distance AISTATS 2022 MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds NIPS 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 On Explainability of Graph Neural Networks via Subgraph Explorations ICML 2021 Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking CVPR 2021 Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs ACL 2021 Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs AAAI 2021 Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs IJCNLP 2021 Adversarially Learning Disentangled Speech Representations for Robust Multi-Factor Voice Conversion INTERSPEECH 2021 Automatic Error Correction for Speaker Embedding Learning with Noisy Labels INTERSPEECH 2021 ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs NIPS 2021 Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract) AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction AAAI 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020 An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation AAAI 2020 Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion NIPS 2020 Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method NIPS 2020 Gated Residual Recurrent Graph Neural Networks for Traffic Prediction AAAI 2019 Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction JMLR 2019 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets JMLR 2019 Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction ICML 2017 Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices ICML 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NIPS 2015 Lasso Screening Rules via Dual Polytope Projection JMLR 2015 A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models ICML 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NIPS 2014 Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014 A Safe Screening Rule for Sparse Logistic Regression NIPS 2014 Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014 Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis IJCAI 2013 Lasso Screening Rules via Dual Polytope Projection NIPS 2013