Xu Wang

63 papers · 2013–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🏃 Academic Marathon (12) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (11) 🗺️ Taxonomy Completionist (124) 🏠 Conference Loyalist (21) 🏆 Keyword Champion (3) 🤝 Dynamic Duo (11) 🔬 Deep Specialist (10) 🏆 Grand Slam 🧬 Topic Evolution 🚀 Conference Pioneer 💎 Century Club (55) 📈 Trend Setter 🔥 Unstoppable (7) 🗃️ Keyword Collector (263) ⚡ Prolific Year (10)

Conferences

AAAI (21) EMNLP (7) CVPR (5) ICML (5) COLING (4) ICLR (4) IJCAI (4) NIPS (4) ICCV (2) MICCAI (2) NAACL (2) AISTATS (1) ECCV (1) JMLR (1)

Top co-authors

Yang Wang (11) Dezhong Peng (9) Zhengyang Zhou (6) Bo Cheng (6) Pengkun Wang (5) Lin Ma (5) Hao Yang (5) Yudong Zhang (5) Jiale Han (5) Ming Yan (4)

Research topics

Keywords

domain adaptation (5) knowledge graph (4) multi-hop reasoning (4) contrastive learning (4) representation learning (3) question answering (3) text generation (3) hypergraph convolutional network (3) partial label (3) knowledge base question answering (3) domain alignment (3) graph neural network (3) knowledge distillation (2) multi-task learning (2) weakly supervised learning (2) depth estimation (2) image segmentation (2) semantic segmentation (2) text classification (2) domain generalization (2)

Papers

Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval AAAI 2026

Ambiguity-Tolerant Cross-Modal Hashing with Partial Labels AAAI 2026

Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization AAAI 2026

Balancing Scaffolding and Autonomy: A Case Study in Designing a Scalable Undergraduate Machine Learning Research Course AAAI 2026

Octopus: Entropy-Controlled Science Fiction Literature Generation with Persistent Memory-Context Binding AAAI 2026

DBGroup: Dual-Branch Point Grouping for Weakly Supervised 3D Semantic Instance Segmentation AAAI 2026

PointSLAM++: Robust Dense Neural Gaussian Point Cloud-based SLAM AAAI 2026

Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling AAAI 2026

RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025

DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels AAAI 2025

A Fast and Accurate ANN-SNN Conversion Algorithm with Negative Spikes IJCAI 2025

RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control ICML 2025

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation ICML 2025

Robust Spatio-Temporal Centralized Interaction for OOD Learning ICML 2025

Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis ICML 2025

Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting AAAI 2025

Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors AAAI 2025

GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation AAAI 2025

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation CVPR 2025

Towards Continual Universal Segmentation CVPR 2025

Solving Medical Multi-Label Domain Adaptation via Wasserstein Adversarial Learning with Class-Level Alignment MICCAI 2025

3D Acetabular Surface Reconstruction from 2D Pre-operative X-ray Images using SRVF Elastic Registration and Deformation Graph MICCAI 2025

TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting ICML 2025

Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework IJCAI 2025

Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models EMNLP 2025

Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025

COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation ICLR 2025

Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets ICLR 2025

ECC: Synergizing Emotion, Cause and Commonsense for Empathetic Dialogue Generation COLING 2025

RoleBreak: Character Hallucination as a Jailbreak Attack in Role-Playing Systems COLING 2025

MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling NAACL 2025

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024

AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose AAAI 2024

LESS: Label-Efficient and Single-Stage Referring 3D Segmentation NIPS 2024

Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ICLR 2024

DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels AAAI 2024

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching AAAI 2024

NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli IJCAI 2024

Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework NIPS 2024

Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions EMNLP 2024

3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance ECCV 2024

DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog EMNLP 2023

SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines AAAI 2023

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval AAAI 2023

Local and Global Logit Adjustments for Long-Tailed Learning ICCV 2023

Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective ICLR 2023

On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure JMLR 2023

Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs NAACL 2022

URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement CVPR 2022

DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition EMNLP 2022

Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification COLING 2022

Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation NIPS 2022

FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning EMNLP 2021

Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion EMNLP 2020

Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering (Student Abstract) AAAI 2020

HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract) AAAI 2020

Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph COLING 2020

Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA IJCAI 2020

Deep Supervised Cross-Modal Retrieval CVPR 2019

Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations NIPS 2019

Learning to Explore Intrinsic Saliency for Stereoscopic Video CVPR 2019

Multi-Manifold Modeling in Non-Euclidean spaces AISTATS 2015

Fast Subspace Search via Grassmannian Based Hashing ICCV 2013