← Authors

Irwin King

116 papers · 2004–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (21) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (30) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (25) πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (16) πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸš€ Conference Pioneer ⚑ Prolific Year (15) πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (83) πŸ’Ž Century Club (115)

Conferences

EMNLP (20) IJCAI (18) ACL (16) NIPS (16) AAAI (15) NAACL (11) IJCNLP (6) CVPR (5) ICML (3) MICCAI (2) AACL (1) ICCV (1) ICLR (1) JMLR (1)

Top co-authors

Michael R. Lyu (25) Michael Lyu (25) Yifei Zhang (13) Jingjing Li (12) Zixing Song (11) Zenglin Xu (10) Yifan Gao (10) yankai Chen (9) Minda Hu (8) Ziqiao Meng (7)

Research topics

Science (1) Education (1)

Keywords

text generation (9) large language model (9) graph neural network (8) representation learning (8) model compression (7) knowledge distillation (7) neural network (6) keyphrase generation (6) unsupervised learning (6) attention mechanism (5) semi-supervised learning (5) federated learning (5) question generation (4) self-supervised learning (4) neural network optimization (3) neural machine translation (3) convex optimization (3) combinatorial optimization (3) sequence generation (3) reinforcement learning (3)

Papers

ConSurv: Multimodal Continual Learning for Survival Analysis AAAI 2026
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning ICCV 2025
WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback EMNLP 2025
Position: LLMs Can be Good Tutors in English Education EMNLP 2025
Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following EMNLP 2025
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion NAACL 2025
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents NAACL 2025
Entropy-Based Decoding for Retrieval-Augmented Large Language Models NAACL 2025
VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models ACL 2025
Recent Advances in Speech Language Models: A Survey ACL 2025
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? ACL 2025
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning AAAI 2025
NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025
From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models EMNLP 2025
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction ICML 2025
A Diffusion-Based Pre-training Framework for Crystal Property Prediction AAAI 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation EMNLP 2024
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models EMNLP 2024
MarkLLM: An Open-Source Toolkit for LLM Watermarking EMNLP 2024
An Entropy-based Text Watermarking Detection Method ACL 2024
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering NAACL 2024
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder NAACL 2024
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing NAACL 2024
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification MICCAI 2024
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction MICCAI 2024
A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations IJCAI 2024
An Unforgeable Publicly Verifiable Watermark for Large Language Models ICLR 2024
Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? NAACL 2024
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval AAAI 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks AAAI 2024
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning NIPS 2023
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily NIPS 2023
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning NIPS 2023
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective NIPS 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond AAAI 2023
Graph Component Contrastive Learning for Concept Relatedness Estimation AAAI 2023
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis ACL 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues EMNLP 2023
Hyperbolic Representation Learning: Revisiting and Advancing ICML 2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification IJCAI 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks IJCAI 2023
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction IJCAI 2023
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges IJCAI 2023
Text Revision by On-the-Fly Representation Optimization ACL 2022
Text Revision By On-the-Fly Representation Optimization AAAI 2022
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization AAAI 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching AACL 2022
Momentum Contrastive Pre-training for Question Answering EMNLP 2022
Towards Efficient Post-training Quantization of Pre-trained Language Models NIPS 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching IJCNLP 2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training NAACL 2022
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ACL 2021
BinaryBERT: Pushing the Limit of BERT Quantization IJCNLP 2021
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation IJCNLP 2021
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy IJCNLP 2021
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy ACL 2021
Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021
BinaryBERT: Pushing the Limit of BERT Quantization ACL 2021
VD-BERT: A Unified Vision and Dialog Transformer with BERT EMNLP 2020
Unsupervised Text Generation by Learning from Search NIPS 2020
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading ACL 2020
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching CVPR 2020
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution CVPR 2020
Boosting the Transferability of Adversarial Samples via Attention CVPR 2020
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings EMNLP 2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading EMNLP 2020
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach IJCAI 2020
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network AAAI 2020
Few Shot Network Compression via Cross Distillation AAAI 2020
Exclusive Hierarchical Decoding for Deep Keyphrase Generation ACL 2020
Revisiting Parameter Sharing for Automatic Neural Channel Number Search NIPS 2020
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation EMNLP 2020
Photon: A Robust Cross-Domain Text-to-SQL System ACL 2020
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning EMNLP 2020
Exploiting Unsupervised Data for Emotion Recognition in Conversations EMNLP 2020
SelFlow: Self-Supervised Learning of Optical Flow CVPR 2019
Improving Question Generation With to the Point Context EMNLP 2019
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling ACL 2019
Topic-Aware Neural Keyphrase Generation for Social Media Language ACL 2019
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards ACL 2019
DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019
Generating Distractors for Reading Comprehension Questions from Real Examinations AAAI 2019
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators IJCAI 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems IJCAI 2019
Difficulty Controllable Generation of Reading Comprehension Questions IJCAI 2019
Title-Guided Encoding for Keyphrase Generation AAAI 2019
Improving Question Generation With to the Point Context IJCNLP 2019
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition NAACL 2019
Microblog Hashtag Generation via Encoding Conversation Contexts NAACL 2019
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction NAACL 2019
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NIPS 2018
Code Completion with Neural Attention and Pointer Networks IJCAI 2018
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018
Thread Popularity Prediction and Tracking with a Permutation-invariant Model EMNLP 2018
Topic Memory Networks for Short Text Classification EMNLP 2018
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data ICML 2017
Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection IJCAI 2016
Exploiting k-Degree Locality to Improve Overlapping Community Detection IJCAI 2015
Training-Efficient Feature Map for Shift-Invariant Kernels IJCAI 2015
Combinatorial Pure Exploration of Multi-Armed Bandits NIPS 2014
A Unified Framework for Reputation Estimation in Online Rating Systems IJCAI 2013
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering IJCAI 2013
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers EMNLP 2013
Where You Like to Go Next: Successive Point-of-Interest Recommendation IJCAI 2013
Exact and Stable Recovery of Pairwise Interaction Tensors NIPS 2013
Adaptive Regularization for Transductive Support Vector Machine NIPS 2009
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
An Extended Level Method for Efficient Multiple Kernel Learning NIPS 2008
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
Two-Phase LMR-RC Tagging for Chinese Word Segmentation IJCNLP 2005
The Minimum Error Minimax Probability Machine JMLR 2004