Hong Chen

Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026 Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models AAAI 2026 Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning AAAI 2026 D²-VPR: A Parameter-efficient Visual-foundation-model-based Visual Place Recognition Method via Knowledge Distillation and Deformable Aggregation AAAI 2026 From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language ACL 2026 Integral-based Knockoffs Inference for Partially Linear Models AAAI 2026 Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples IJCAI 2025 Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis IJCAI 2025 SpikF: Spiking Fourier Network for Efficient Long-term Prediction ICML 2025 Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering ICML 2025 On the Generalization Ability of Next-Token-Prediction Pretraining ICML 2025 Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning ICML 2025 Unsupervised Learning for Class Distribution Mismatch ICML 2025 How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction ICML 2025 Adversarial Robust Generalization of Graph Neural Networks ICML 2025 A Statistical Approach for Controlled Training Data Detection ICLR 2025 Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification ICLR 2025 Streamlining Redundant Layers to Compress Large Language Models ICLR 2025 Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors ICCV 2025 Federated Incremental Named Entity Recognition COLING 2025 Identity-Text Video Corpus Grounding AAAI 2025 Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM AAAI 2025 Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation AAAI 2025 Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025 Personalized Clustering via Targeted Representation Learning AAAI 2025 Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition AAAI 2025 Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery AAAI 2025 The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research ACL 2025 SAM Decoding: Speculative Decoding via Suffix Automaton ACL 2025 P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025 Causally Modeling the Linguistic and Social Factors that Predict Email Response NAACL 2025 Harnessing and Evaluating the Intrinsic Extrapolation Ability of Large Language Models for Vehicle Trajectory Prediction NAACL 2025 Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024 VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding NIPS 2024 How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? NIPS 2024 Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024 SP3: Enhancing Structured Pruning via PCA Projection ACL 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments COLING 2024 Diversifying Question Generation over Knowledge Base via External Natural Questions COLING 2024 VTimeLLM: Empower LLM to Grasp Video Moments CVPR 2024 Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration CVPR 2024 PTQ4SAM: Post-Training Quantization for Segment Anything CVPR 2024 Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models ECCV 2024 PCQPR: Proactive Conversational Question Planning with Reflection EMNLP 2024 Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs EMNLP 2024 General Stability Analysis for Zeroth-Order Optimization Algorithms ICLR 2024 DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation ICLR 2024 Negative Label Guided OOD Detection with Pretrained Vision-Language Models ICLR 2024 Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds ICLR 2024 Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective ICML 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet ICML 2024 CurBench: Curriculum Learning Benchmark ICML 2024 Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization IJCAI 2024 SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation NAACL 2024 RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL AAAI 2023 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NIPS 2023 Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum NIPS 2023 Joint Data-Task Generation for Auxiliary Learning NIPS 2023 Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023 Stepdown SLOPE for Controlled Feature Selection AAAI 2023 Robust and Fast Measure of Information via Low-Rank Representation AAAI 2023 Superclass Learning With Representation Enhancement CVPR 2023 Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023 Tilted Sparse Additive Models ICML 2023 Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation ICML 2023 On the Stability and Generalization of Triplet Learning AAAI 2023 Curriculum Multi-Negative Augmentation for Debiased Video Grounding AAAI 2023 A Generation-based Deductive Method for Math Word Problems EMNLP 2023 ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer EMNLP 2023 Generalization Bounds for Adversarial Metric Learning IJCAI 2023 Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics ACL 2023 FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering ACL 2023 Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective IJCAI 2023 DIRE for Diffusion-Generated Image Detection ICCV 2023 Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch ICCV 2023 Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation ICCV 2023 Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023 Exploring Binary Classification Hidden within Partial Label Learning IJCAI 2022 Character-centric Story Visualization via Visual Planning and Token Alignment EMNLP 2022 Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment AAAI 2022 Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering ACL 2022 CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking AAAI 2022 Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts NAACL 2022 StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning EMNLP 2022 DSM: Question Generation over Knowledge Base via Modeling Diverse Subgraphs with Meta-learner EMNLP 2022 Module-Aware Optimization for Auxiliary Learning NIPS 2022 Knowledge-augmented Self-training of A Question Rewriter for Conversational Knowledge Base Question Answering EMNLP 2022 NOC-REK: Novel Object Captioning With Retrieved Vocabulary From External Knowledge CVPR 2022 Auxiliary Learning with Joint Task and Data Scheduling ICML 2022 Huber Additive Models for Non-stationary Time Series Analysis ICLR 2022 Large-Scale Graph Neural Architecture Search ICML 2022 Error-Based Knockoffs Inference for Controlled Feature Selection AAAI 2022 A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base EMNLP 2021 Contrastive Coding for Active Learning Under Class Distribution Mismatch ICCV 2021 Object Recognition With Continual Open Set Domain Adaptation for Home Robot WACV 2021 Curriculum Disentangled Recommendation with Noisy Multi-feedback NIPS 2021 FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021 Distributed Ranking with Communications: Approximation Analysis and Applications AAAI 2021 Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling AAAI 2021 Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021 P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021 SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation EMNLP 2021 BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment IJCAI 2020 Sparse Shrunk Additive Models ICML 2020 Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery NIPS 2020 Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019 Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework IJCAI 2019 PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution EMNLP 2018 Group Sparse Additive Machine NIPS 2017 Regularized Modal Regression with Applications in Cognitive Impairment Prediction NIPS 2017 Error Analysis of Generalized Nyström Kernel Regression NIPS 2016