← Authors

Hong Chen

111 papers · 2016–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (14) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (10) 🏠 Conference Loyalist (22) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (6) 🀝 Dynamic Duo (26) πŸ—ƒοΈ Keyword Collector (451) ❓ The Questioner (2) ⚑ Prolific Year (23) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (106) πŸ”₯ Unstoppable (10)

Conferences

AAAI (27) ICML (16) EMNLP (13) NIPS (11) IJCAI (9) ACL (8) ICLR (8) CVPR (5) ICCV (5) NAACL (4) COLING (3) ECCV (1) WACV (1)

Top co-authors

Cuiping Li (26) Xin Wang (20) Wenwu Zhu (20) Jing Zhang (18) Tieliang Gong (13) Feng Zheng (8) Yingjie Wang (7) Bin Gu (7) Suyun Zhao (7) Hideki Nakayama (6)

Research topics

Differential Privacy (3) Applications (1) Education (1)

Keywords

generalization bound (11) large language model (8) variable selection (6) stochastic gradient descent (6) graph neural network (6) federated learning (5) multi-task learning (5) attention mechanism (5) representation learning (5) curriculum learning (4) contrastive learning (4) knowledge distillation (4) text generation (4) false discovery rate (4) knowledge graph (4) knowledge base question answering (4) neural architecture search (3) adversarial robustness (3) algorithmic stability (3) image classification (3)

Papers

Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning AAAI 2026
Integral-based Knockoffs Inference for Partially Linear Models AAAI 2026
Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models AAAI 2026
Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026
DΒ²-VPR: A Parameter-efficient Visual-foundation-model-based Visual Place Recognition Method via Knowledge Distillation and Deformable Aggregation AAAI 2026
Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering ICML 2025
Causally Modeling the Linguistic and Social Factors that Predict Email Response NAACL 2025
Adversarial Robust Generalization of Graph Neural Networks ICML 2025
How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction ICML 2025
Unsupervised Learning for Class Distribution Mismatch ICML 2025
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning ICML 2025
On the Generalization Ability of Next-Token-Prediction Pretraining ICML 2025
Harnessing and Evaluating the Intrinsic Extrapolation Ability of Large Language Models for Vehicle Trajectory Prediction NAACL 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
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery AAAI 2025
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition AAAI 2025
P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025
SAM Decoding: Speculative Decoding via Suffix Automaton ACL 2025
The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research ACL 2025
Federated Incremental Named Entity Recognition COLING 2025
Trajectory-Dependent Generalization Bounds for Pairwise Learning with Ο†-mixing Samples IJCAI 2025
Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis IJCAI 2025
Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors ICCV 2025
SpikF: Spiking Fourier Network for Efficient Long-term Prediction ICML 2025
Streamlining Redundant Layers to Compress Large Language Models ICLR 2025
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification ICLR 2025
A Statistical Approach for Controlled Training Data Detection ICLR 2025
AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments COLING 2024
SP3: Enhancing Structured Pruning via PCA Projection ACL 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds ICLR 2024
Diversifying Question Generation over Knowledge Base via External Natural Questions COLING 2024
General Stability Analysis for Zeroth-Order Optimization Algorithms ICLR 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
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
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization IJCAI 2024
CurBench: Curriculum Learning Benchmark ICML 2024
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
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation NAACL 2024
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet ICML 2024
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective ICML 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 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
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023
Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch ICCV 2023
Tilted Sparse Additive Models ICML 2023
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering ACL 2023
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics ACL 2023
Generalization Bounds for Adversarial Metric Learning IJCAI 2023
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum NIPS 2023
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation ICCV 2023
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NIPS 2023
Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023
DIRE for Diffusion-Generated Image Detection ICCV 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL AAAI 2023
Joint Data-Task Generation for Auxiliary Learning NIPS 2023
Superclass Learning With Representation Enhancement CVPR 2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized RΓ©nyi's Entropy Perspective IJCAI 2023
A Generation-based Deductive Method for Math Word Problems EMNLP 2023
ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer EMNLP 2023
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation ICML 2023
Curriculum Multi-Negative Augmentation for Debiased Video Grounding AAAI 2023
On the Stability and Generalization of Triplet Learning AAAI 2023
Robust and Fast Measure of Information via Low-Rank Representation AAAI 2023
Stepdown SLOPE for Controlled Feature Selection AAAI 2023
Huber Additive Models for Non-stationary Time Series Analysis ICLR 2022
Module-Aware Optimization for Auxiliary Learning NIPS 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment AAAI 2022
Error-Based Knockoffs Inference for Controlled Feature Selection AAAI 2022
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking AAAI 2022
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering ACL 2022
NOC-REK: Novel Object Captioning With Retrieved Vocabulary From External Knowledge CVPR 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
Character-centric Story Visualization via Visual Planning and Token Alignment EMNLP 2022
Knowledge-augmented Self-training of A Question Rewriter for Conversational Knowledge Base Question Answering EMNLP 2022
Auxiliary Learning with Joint Task and Data Scheduling ICML 2022
Large-Scale Graph Neural Architecture Search ICML 2022
Exploring Binary Classification Hidden within Partial Label Learning IJCAI 2022
Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts NAACL 2022
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
Contrastive Coding for Active Learning Under Class Distribution Mismatch ICCV 2021
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base EMNLP 2021
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation EMNLP 2021
P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021
Curriculum Disentangled Recommendation with Noisy Multi-feedback NIPS 2021
Object Recognition With Continual Open Set Domain Adaptation for Home Robot WACV 2021
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery NIPS 2020
Sparse Shrunk Additive Models ICML 2020
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment IJCAI 2020
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework IJCAI 2019
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 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 NystrΓΆm Kernel Regression NIPS 2016