Hongxia Jin
71 papers · 2016–2025 · 17 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Conference Polyglot (17)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(17)
π¬
Deep Specialist
(12)
π
Keyword Champion
(3)
π€
Dynamic Duo
(52)
π
Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(253)
β‘
Prolific Year
(9)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(71)
π₯
Unstoppable
(10)
Conferences
NAACL (10)
INTERSPEECH (10)
EMNLP (7)
ICLR (7)
AAAI (6)
IJCAI (6)
NIPS (5)
CVPR (3)
IJCNLP (3)
ICML (3)
WACV (2)
ICCV (2)
COLING (2)
ACL (2)
ECCV (1)
EACL (1)
AACL (1)
Top co-authors
Research topics
Keywords
model compression
(10)
slot filling
(10)
spoken language understanding
(10)
neural network
(8)
natural language understanding
(7)
intent classification
(6)
intent detection
(5)
continual learning
(4)
language model
(4)
large language model
(4)
knowledge distillation
(4)
data augmentation
(4)
zero-shot learning
(4)
recurrent neural network
(3)
knowledge graph
(3)
convolutional neural network
(3)
recommender system
(3)
deep reinforcement learning
(3)
representation learning
(3)
efficient computing
(3)
Papers
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior
ICML 2025
MoDeGPT: Modular Decomposition for Large Language Model Compression
ICLR 2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention
AACL 2025
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
NAACL 2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention
IJCNLP 2025
AlpaGasus: Training a Better Alpaca with Fewer Data
ICLR 2024
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation
COLING 2024
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
NAACL 2024
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
NAACL 2024
CIFD: Controlled Information Flow to Enhance Knowledge Distillation
NIPS 2024
Adaptive Rank Selections for Low-Rank Approximation of Language Models
NAACL 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging
WACV 2024
Efficient Layout-Guided Image Inpainting for Mobile Use
WACV 2024
Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark
NIPS 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NIPS 2024
Instruction-following Evaluation through Verbalizer Manipulation
NAACL 2024
SLiM: Speculative Decoding with Hypothesis Reduction
NAACL 2024
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models
ICLR 2023
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
NIPS 2023
Robust Keyword Spotting for Noisy Environments by Leveraging Speech Enhancement and Speech Presence Probability
INTERSPEECH 2023
Dynamic Low-rank Estimation for Transformer-based Language Models
EMNLP 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer
AAAI 2023
Compositional Generalization in Spoken Language Understanding
INTERSPEECH 2023
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
ICML 2023
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning
NAACL 2022
Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations
AAAI 2022
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs
AAAI 2022
Text-Based Interactive Recommendation via Offline Reinforcement Learning
AAAI 2022
Lite-MDETR: A Lightweight Multi-Modal Detector
CVPR 2022
Numerical Optimizations for Weighted Low-rank Estimation on Language Models
EMNLP 2022
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling
EMNLP 2022
Language model compression with weighted low-rank factorization
ICLR 2022
DictFormer: Tiny Transformer with Shared Dictionary
ICLR 2022
Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU
IJCNLP 2021
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
NAACL 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
ICCV 2021
SAFENet: A Secure, Accurate and Fast Neural Network Inference
ICLR 2021
Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU
ACL 2021
Negative Data Augmentation
ICLR 2021
Automatic Mixed-Precision Quantization Search of BERT
IJCAI 2021
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
EACL 2021
Generating Dialogue Responses from a Semantic Latent Space
EMNLP 2020
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data
CVPR 2020
Towards Hands-Free Visual Dialog Interactive Recommendation
AAAI 2020
Conditional Image Repainting via Semantic Bridge and Piecewise Value Function
ECCV 2020
An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System
INTERSPEECH 2020
MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis
CVPR 2020
A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System
AAAI 2019
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
ICCV 2019
Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention
EMNLP 2019
Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction
IJCAI 2019
A Progressive Model to Enable Continual Learning for Semantic Slot Filling
IJCNLP 2019
A Progressive Model to Enable Continual Learning for Semantic Slot Filling
EMNLP 2019
Rare Sound Event Detection Using Deep Learning and Data Augmentation
INTERSPEECH 2019
Iterative Delexicalization for Improved Spoken Language Understanding
INTERSPEECH 2019
Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance
INTERSPEECH 2019
SkillBot: Towards Automatic Skill Development via User Demonstration
NAACL 2019
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning
NIPS 2019
A Neural Transition-based Model for Nested Mention Recognition
EMNLP 2018
A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
NAACL 2018
User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks
INTERSPEECH 2018
Robust Spoken Language Understanding via Paraphrasing
INTERSPEECH 2018
A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU)
INTERSPEECH 2018
Training Recurrent Neural Network through Moment Matching for NLP Applications
INTERSPEECH 2018
Learning Out-of-Vocabulary Words in Intelligent Personal Agents
IJCAI 2018
Adversarial Active Learning for Sequences Labeling and Generation
IJCAI 2018
A New Concept of Deep Reinforcement Learning based Augmented General Tagging System
COLING 2018
Network Approximation using Tensor Sketching
IJCAI 2018
CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation
ACL 2018
Disguise Adversarial Networks for Click-through Rate Prediction
IJCAI 2017
Efficient Private Empirical Risk Minimization for High-dimensional Learning
ICML 2016