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Xiang Zhang

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

Achievements

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+14 more ↓ πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (17)
🌍 Conference Polyglot (17) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (5) πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion 🧬 Topic Evolution πŸ† Grand Slam πŸš€ Conference Pioneer ❓ The Questioner πŸ“ˆ Trend Setter πŸ’Ž Century Club (77) πŸ—ƒοΈ Keyword Collector (345) πŸ”₯ 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)

Research topics

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