Xiao Zhang
126 papers · 2016–2026 · 20 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 41 separate collaboration groups - the largest holds only 16% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Xiao Zhang?
15 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ji Wu, Miao Li, Xien Liu
13 papers
· 2019–2025
· AAAI, ICLR, ICML
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Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models
AAAI 2025
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
ICML 2025
Medical Contrastive Learning of Positive and Negative Mentions
MICCAI 2025
Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery
ICLR 2025
Co-occurrence is not Factual Association in Language Models
NeurIPS 2024
Conditional Language Learning with Context
ICML 2024
Dissecting learning and forgetting in language model finetuning
ICLR 2024
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint)
AAAI 2024
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs
IJCAI 2021
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks
ICLR 2020
Learning Conceptual-Contextual Embeddings for Medical Text
AAAI 2020
Tensor Graph Convolutional Networks for Text Classification
AAAI 2020
Delta Embedding Learning
ACL 2019
26 papers whose co-authors appear nowhere else under this name
Enabling SLO-Aware 5G Multi-Access Edge Computing with SMEC
NSDI 2026
How Learning Dynamics Drive Adversarially Robust Generalization?
UAI 2026
OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks
AAAI 2026
Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model
ICCV 2025
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
ACL 2025
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
NAACL 2025
DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination
WACV 2025
Generalization Analysis for Controllable Learning
ICML 2025
IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
ICCV 2025
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping
ICCV 2025
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
ICML 2025
Safe in Isolation, Dangerous Together: Agent-Driven Multi-Turn Decomposition Jailbreaks on LLMs
ACL 2025
Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
IJCAI 2025
UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
ICCV 2025
Beaver: Practical Partial Snapshots for Distributed Cloud Services
OSDI 2024
Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks
COLING 2024
QCAW 1.0: Building a Qatari Corpus of Student Argumentative Writing
COLING 2024
Flattened Clos: Designing High-performance Deadlock-free Expander Data Center Networks Using Graph Contraction
NSDI 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
NeurIPS 2023
Robust Image Ordinal Regression with Controllable Image Generation
IJCAI 2023
ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition
AAAI 2022
MICO: Selective Search with Mutual Information Co-training
COLING 2022
Multi-Grained Knowledge Distillation for Named Entity Recognition
NAACL 2021
Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale
OSDI 2020
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
NeurIPS 2019
Automatic Spatially-Aware Fashion Concept Discovery
ICCV 2017