← Authors

Xia Hu

82 papers · 2009–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (16) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (16) πŸ† Grand Slam πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution 🀝 Dynamic Duo (24) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (282) ❓ The Questioner (2) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (80) πŸ”₯ Unstoppable (9)

Conferences

IJCAI (13) NIPS (12) AAAI (11) ICML (11) ICLR (9) EMNLP (6) NAACL (4) ACL (3) CVPR (3) EACL (3) IJCNLP (2) AACL (1) AUTOML (1) COLING (1) ICCV (1) JMLR (1)

Top co-authors

Zirui Liu (24) Kaixiong Zhou (21) Daochen Zha (15) Yu-Neng Chuang (14) Guanchu Wang (13) Rui Chen (12) Zhimeng Jiang (10) Shaochen Zhong (10) Mengnan Du (10) Li Li (9)

Research topics

Privacy (2)

Keywords

graph neural network (12) large language model (10) deep neural network (6) model compression (6) reinforcement learning (5) anomaly detection (4) outlier detection (3) feature attribution (3) multi-agent system (3) neural network (3) automated machine learning (3) attention mechanism (3) language model (3) model interpretability (2) deep learning (2) sql generation (2) message passing (2) data augmentation (2) representation learning (2) knowledge distillation (2)

Papers

FaithLM: Towards Faithful Explanations for Large Language Models EACL 2026
Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations EACL 2026
Learning to Route LLMs with Confidence Tokens ICML 2025
Flexible Group Count Enables Hassle-Free Structured Pruning CVPR 2025
ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks ACL 2025
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem EMNLP 2025
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations ICLR 2025
AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025
A Decoupled Multi-Agent Framework for Complex Text Style Transfer EMNLP 2025
DHP Benchmark: Are LLMs Good NLG Evaluators? NAACL 2025
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration AACL 2025
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model CVPR 2025
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models EMNLP 2025
Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration IJCNLP 2025
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache ICML 2024
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods ICLR 2024
Gradient Rewiring for Editable Graph Neural Network Training NIPS 2024
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models NAACL 2024
Learning to Compress Prompt in Natural Language Formats NAACL 2024
GNNs Also Deserve Editing, and They Need It More Than Once ICML 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective AAAI 2024
Soft Prompt Recovers Compressed LLMs, Transferably ICML 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer ICML 2024
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts CVPR 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion EMNLP 2024
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning ICML 2024
CoRTX: Contrastive Framework for Real-time Explanation ICLR 2023
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NIPS 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots NIPS 2023
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization ICLR 2023
Fair Graph Distillation NIPS 2023
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding EACL 2023
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation IJCAI 2023
AutoKeras: An AutoML Library for Deep Learning JMLR 2023
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NIPS 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations ICML 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach NIPS 2023
DIVISION: Memory Efficient Training via Dual Activation Precision ICML 2023
AutoVideo: An Automated Video Action Recognition System IJCAI 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking NIPS 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems NIPS 2022
AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks AUTOML 2022
Orthogonal Graph Neural Networks AAAI 2022
Towards Debiasing DNN Models from Spurious Feature Influence AAAI 2022
RES: An Interpretable Replicability Estimation System for Research Publications AAAI 2022
DEGREE: Decomposition Based Explanation for Graph Neural Networks ICLR 2022
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression ICLR 2022
An Information Fusion Approach to Learning with Instance-Dependent Label Noise ICLR 2022
Generalized Demographic Parity for Group Fairness ICLR 2022
G-Mixup: Graph Data Augmentation for Graph Classification ICML 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection ICML 2022
Table2Graph: Transforming Tabular Data to Unified Weighted Graph IJCAI 2022
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments ICLR 2021
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization ICCV 2021
TODS: An Automated Time Series Outlier Detection System AAAI 2021
A Unified Taylor Framework for Revisiting Attribution Methods AAAI 2021
Dynamic Memory based Attention Network for Sequential Recommendation AAAI 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models NAACL 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NIPS 2021
Fairness via Representation Neutralization NIPS 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning ICML 2021
Dual Policy Distillation IJCAI 2020
RLCard: A Platform for Reinforcement Learning in Card Games IJCAI 2020
Detecting Interactions from Neural Networks via Topological Analysis NIPS 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization NIPS 2020
Multi-Channel Graph Neural Networks IJCAI 2020
Deep Bayesian Optimization on Attributed Graphs AAAI 2019
Large-Scale Heterogeneous Feature Embedding AAAI 2019
Experience Replay Optimization IJCAI 2019
Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods AAAI 2019
Robust Negative Sampling for Network Embedding AAAI 2019
Contextual Outlier Interpretation IJCAI 2018
Radar: Residual Analysis for Anomaly Detection in Attributed Networks IJCAI 2017
Accelerated Local Anomaly Detection via Resolving Attributed Networks IJCAI 2017
Learning Geographical Hierarchy Features for Social Image Location Prediction IJCAI 2015
Social Spammer Detection in Microblogging IJCAI 2013
Exploiting Local and Global Social Context for Recommendation IJCAI 2013
A Semi-Supervised Bayesian Network Model for Microblog Topic Classification COLING 2012
Query Segmentation Based on Eigenspace Similarity ACL 2009
Query Segmentation Based on Eigenspace Similarity IJCNLP 2009