Irwin King

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