← Authors

Bowen Zhou

93 papers · 2009–2026 · 14 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (16) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (22) 🧬 Topic Evolution πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ—ƒοΈ Keyword Collector (310) πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ”₯ Unstoppable (11) ❓ The Questioner (2) πŸ’Ž Century Club (92) πŸ“ˆ Trend Setter

Conferences

ACL (20) EMNLP (19) AAAI (10) NAACL (8) INTERSPEECH (7) COLING (5) ICML (5) CVPR (4) ICLR (3) IJCAI (3) IJCNLP (3) NIPS (3) CONLL (2) ICCV (1)

Top co-authors

Xiaodong He (22) Biqing Qi (20) Kaiyan Zhang (19) Bing Xiang (18) Ning Ding (15) Jing Huang (10) Xingtai Lv (9) Youzheng Wu (9) Ermo Hua (9) Xinwei Long (7)

Keywords

large language model (12) attention mechanism (7) neural network (4) multimodal learning (4) language model (4) diffusion model (4) knowledge distillation (3) adversarial robustness (3) abstractive summarization (3) model compression (3) knowledge retrieval (3) reinforcement learning (3) adversarial training (3) retrieval-augmented generation (3) image generation (2) named entity recognition (2) preference optimization (2) few-shot learning (2) representation learning (2) multi-task learning (2)

Papers

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning AAAI 2026
Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System ACL 2025
Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback ACL 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise ACL 2025
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025
Free Process Rewards without Process Labels ICML 2025
Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization ICML 2025
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding ICML 2025
How to Synthesize Text Data without Model Collapse? ICML 2025
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines AAAI 2025
Advancing LLM Reasoning Generalists with Preference Trees ICLR 2025
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees ICLR 2025
AdsQA: Towards Advertisement Video Understanding ICCV 2025
ReviewRL: Towards Automated Scientific Review with RL EMNLP 2025
Scalability of LLM-Based Multi-Agent Systems for Scientific Code Generation: A Preliminary Study EMNLP 2025
Exploring Adversarial Robustness of Deep State Space Models NIPS 2024
UltraMedical: Building Specialized Generalists in Biomedicine NIPS 2024
Neural Residual Diffusion Models for Deep Scalable Vision Generation NIPS 2024
LMD: Faster Image Reconstruction with Latent Masking Diffusion AAAI 2024
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing AAAI 2024
Generative Multi-Modal Knowledge Retrieval with Large Language Models AAAI 2024
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following ACL 2024
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever ACL 2024
SMR: State Memory Replay for Long Sequence Modeling ACL 2024
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion CVPR 2024
Interactive Continual Learning: Fast and Slow Thinking CVPR 2024
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling CVPR 2024
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making EMNLP 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention EMNLP 2024
On the token distance modeling ability of higher RoPE attention dimension EMNLP 2024
On Large Language Models’ Hallucination with Regard to Known Facts NAACL 2024
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning NAACL 2024
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations EMNLP 2023
Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model EMNLP 2023
PetsGAN: Rethinking Priors for Single Image Generation AAAI 2022
RoR: Read-over-Read for Long Document Machine Reading Comprehension EMNLP 2021
SGG: Learning to Select, Guide, and Generate for Keyphrase Generation NAACL 2021
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification NAACL 2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification NAACL 2021
Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization EMNLP 2021
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce EMNLP 2021
On the Faithfulness for E-commerce Product Summarization COLING 2020
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training COLING 2020
Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed INTERSPEECH 2020
Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning INTERSPEECH 2020
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding ACL 2020
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents AAAI 2020
Zero-Shot Text-to-SQL Learning with Auxiliary Task AAAI 2020
Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products AAAI 2020
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product EMNLP 2020
Self-Attention Guided Copy Mechanism for Abstractive Summarization ACL 2020
On the Convergence and Robustness of Adversarial Training ICML 2019
Relation Module for Non-Answerable Predictions on Reading Comprehension CONLL 2019
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs ACL 2019
Multi-Stride Self-Attention for Speech Recognition INTERSPEECH 2019
Direct-Path Signal Cross-Correlation Estimation for Sound Source Localization in Reverberation INTERSPEECH 2019
Speaker Diarization with Lexical Information INTERSPEECH 2019
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss IJCAI 2019
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion AAAI 2019
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions ICLR 2019
Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents IJCAI 2018
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks INTERSPEECH 2017
Group Sparse CNNs for Question Classification with Answer Sets ACL 2017
Improved Neural Relation Detection for Knowledge Base Question Answering ACL 2017
Improved Representation Learning for Question Answer Matching ACL 2016
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence NAACL 2016
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond CONLL 2016
Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling INTERSPEECH 2016
Pointing the Unknown Words ACL 2016
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling EMNLP 2016
Simple Question Answering by Attentive Convolutional Neural Network COLING 2016
Classifying Relations by Ranking with Convolutional Neural Networks ACL 2015
Efficient Hyper-parameter Optimization for NLP Applications EMNLP 2015
Dependency-based Convolutional Neural Networks for Sentence Embedding ACL 2015
Medical Synonym Extraction with Concept Space Models IJCAI 2015
Classifying Relations by Ranking with Convolutional Neural Networks IJCNLP 2015
Dependency-based Convolutional Neural Networks for Sentence Embedding IJCNLP 2015
Enlisting the Ghost: Modeling Empty Categories for Machine Translation ACL 2013
Two-Neighbor Orientation Model with Cross-Boundary Global Contexts ACL 2013
A Corpus Level MIRA Tuning Strategy for Machine Translation EMNLP 2013
What is Hidden among Translation Rules EMNLP 2013
Flexible and Efficient Hypergraph Interactions for Joint Hierarchical and Forest-to-String Decoding EMNLP 2013
Anchor Graph: Global Reordering Contexts for Statistical Machine Translation EMNLP 2013
Discriminative Training of 150 Million Translation Parameters and Its Application to Pruning NAACL 2013
Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages ACL 2010
A Power Mean Based Algorithm for Combining Multiple Alignment Tables COLING 2010
Two Methods for Extending Hierarchical Rules from the Bilingual Chart Parsing COLING 2010
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions EMNLP 2010
Optimizing Word Alignment Combination For Phrase Table Training IJCNLP 2009
Optimizing Word Alignment Combination For Phrase Table Training ACL 2009