Xiang Zhang

83 papers · 2015–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (17) 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (5) 🔬 Deep Specialist (12) 🏆 Keyword Champion 🧬 Topic Evolution 🏆 Grand Slam 🚀 Conference Pioneer ❓ The Questioner 📈 Trend Setter 💎 Century Club (77) 🗃️ Keyword Collector (345) 🔥 Unstoppable (12) ⚡ Prolific Year (7)

Conferences

AAAI (16) NIPS (12) ICCV (9) CVPR (8) ACL (6) ICML (5) EMNLP (5) IJCAI (4) WACV (4) EACL (3) CORL (3) ICLR (2) NAACL (2) ECCV (1) CONLL (1) JMLR (1) COLING (1)

Top co-authors

Zhuowen Tu (9) Wei Cheng (8) Haifeng Chen (8) Dongkuan Xu (7) Zeyuan Chen (6) Lijun Yin (5) Xiaotian Li (5) Lei Yu (5) Taoyue Wang (5) Haiyang Xu (4)

Research topics

Keywords

contrastive learning (10) large language model (8) representation learning (7) multimodal learning (7) graph neural network (6) self-supervised learning (6) attention mechanism (5) diffusion model (5) event camera (5) domain adaptation (5) neural network (5) zero-shot learning (4) transformer architecture (4) image restoration (4) unsupervised learning (3) graph contrastive learning (3) node classification (3) graph representation learning (3) multi-task learning (3) semantic parsing (3)

Papers

Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency AAAI 2026

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation EACL 2026

Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition AAAI 2026

Gaussian Swaying: Surface-Based Framework for Aerodynamic Simulation with 3D Gaussians WACV 2026

You Only Need One Stage: Novel-View Synthesis from a Single Blind Face Image AAAI 2026

CVP: Central-Peripheral Vision-Inspired Multimodal Model for Spatial Reasoning WACV 2026

L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization AAAI 2026

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models EACL 2026

DepR: Depth Guided Single-view Scene Reconstruction with Instance-level Diffusion ICCV 2025

VertexRegen: Mesh Generation with Continuous Level of Detail ICCV 2025

YOLO-Count: Differentiable Object Counting for Text-to-Image Generation ICCV 2025

Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers ICCV 2025

Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing EMNLP 2025

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning ICML 2025

Efficient Personalized Adaptation for Physiological Signal Foundation Model ICML 2025

Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception AAAI 2025

Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning AAAI 2025

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing ICML 2025

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors ICLR 2025

Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling ACL 2025

Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs ACL 2025

NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models COLING 2025

MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention CORL 2025

Towards Accurate Unified Anomaly Segmentation WACV 2025

Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations NAACL 2025

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing ICML 2025

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning CORL 2024

Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases ACL 2024

BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation NIPS 2024

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification NIPS 2024

Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection WACV 2024

ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing AAAI 2024

Universal Prompt Optimizer for Safe Text-to-Image Generation NAACL 2024

Bayesian Diffusion Models for 3D Shape Reconstruction CVPR 2024

HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution ECCV 2024

Weakly-Supervised Text-Driven Contrastive Learning for Facial Behavior Understanding ICCV 2023

Certifiably Robust Graph Contrastive Learning NIPS 2023

Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series NIPS 2023

Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning CORL 2023

Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction ACL 2023

On the Effects of Structural Modeling for Neural Semantic Parsing CONLL 2023

Prefix Conditioning Unifies Language and Label Supervision CVPR 2023

Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval CVPR 2023

Bridging the Gap Between BabelNet and HowNet: Unsupervised Sense Alignment and Sememe Prediction EACL 2023

Don’t Trust ChatGPT when your Question is not in English: A Study of Multilingual Abilities and Types of LLMs EMNLP 2023

On the Effects of Structural Modeling for Neural Semantic Parsing EMNLP 2023

Generalizing Event-Based Motion Deblurring in Real-World Scenarios ICCV 2023

ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning ICCV 2023

Knowledge-Spreader: Learning Semi-Supervised Facial Action Dynamics by Consistifying Knowledge Granularity ICCV 2023

Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction ICCV 2023

GC-Flow: A Graph-Based Flow Network for Effective Clustering ICML 2023

Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency NIPS 2022

Unifying Motion Deblurring and Frame Interpolation With Events CVPR 2022

Text Spotting Transformers CVPR 2022

Graph-Guided Network for Irregularly Sampled Multivariate Time Series ICLR 2022

BM-NAS: Bilevel Multimodal Neural Architecture Search AAAI 2022

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators AAAI 2022

Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation AAAI 2022

EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment IJCAI 2022

Improving HowNet-Based Chinese Word Sense Disambiguation with Translations EMNLP 2022

A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization NIPS 2022

Synthetic Aperture Imaging With Events and Frames CVPR 2022

Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models NIPS 2022

Event-Based Synthetic Aperture Imaging With a Hybrid Network CVPR 2021

Pose Recognition With Cascade Transformers CVPR 2021

Controlling Neural Networks with Rule Representations NIPS 2021

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling AAAI 2021

BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds AAAI 2021

InfoGCL: Information-Aware Graph Contrastive Learning NIPS 2021

Multi-Task Recurrent Modular Networks AAAI 2021

Parameterized Explainer for Graph Neural Network NIPS 2020

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NIPS 2020

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification AAAI 2019

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs IJCAI 2019

AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing ACL 2019

Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018

Automatically Labeled Data Generation for Large Scale Event Extraction ACL 2017

Learning to Predict Charges for Criminal Cases with Legal Basis EMNLP 2017

A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces JMLR 2016

Character-level Convolutional Networks for Text Classification NIPS 2015