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 Jun Xu, Ji-Rong Wen, Shizhong Liao
20 papers
· 2018–2025
· AAAI, EMNLP, ACL
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AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
AAAI 2025
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
AAAI 2025
Length-Induced Embedding Collapse in PLM-based Models
ACL 2025
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
AAAI 2025
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
ACL 2025
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
ICLR 2025
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
ICLR 2025
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
EMNLP 2025
Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning
EMNLP 2025
Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search
EMNLP 2025
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
AAAI 2025
Trigger3:Refining Query Correction via Adaptive Model Selector
AAAI 2025
Effective In-Context Example Selection through Data Compression
ACL 2024
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank
COLING 2024
Joint Semantic and Strategy Matching for Persuasive Dialogue
EMNLP 2023
Reward Imputation with Sketching for Contextual Batched Bandits
NeurIPS 2023
Regret Bounds for Online Kernel Selection in Continuous Kernel Space
AAAI 2021
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space
IJCAI 2020
Incremental Randomized Sketching for Online Kernel Learning
ICML 2019
Online Kernel Selection via Incremental Sketched Kernel Alignment
IJCAI 2018
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