Xia Hu

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