Bowen Zhou
98 papers · 2009–2026 · 14 conferences · across top CS/AI conferences
Achievements
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Interdisciplinary Bridge
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(20)
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Dynamic Duo
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Topic Evolution
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Grand Slam
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Deep Specialist
(11)
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Keyword Collector
(310)
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Conference Pioneer
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Prolific Year
(9)
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Unstoppable
(11)
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The Questioner
(2)
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Century Club
(92)
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Trend Setter
Conferences
ACL (25)
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
Keywords
large language model
(12)
attention mechanism
(7)
neural network
(4)
multimodal learning
(4)
diffusion model
(4)
language model
(4)
reinforcement learning
(4)
multi-agent system
(3)
adversarial robustness
(3)
code generation
(3)
retrieval-augmented generation
(3)
model compression
(3)
knowledge retrieval
(3)
adversarial training
(3)
knowledge distillation
(3)
chain-of-thought reasoning
(3)
abstractive summarization
(3)
image generation
(2)
named entity recognition
(2)
preference optimization
(2)
Papers
SDAR-VL: Stable and Efficient Block-wise Diffusion for Vision-Language Understanding
ACL 2026
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
ACL 2026
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
AAAI 2026
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
ACL 2026
I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing
ACL 2026
MARS2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
ACL 2026
AdsQA: Towards Advertisement Video Understanding
ICCV 2025
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
ACL 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise
ACL 2025
Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback
ACL 2025
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System
ACL 2025
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
AAAI 2025
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
ICLR 2025
Advancing LLM Reasoning Generalists with Preference Trees
ICLR 2025
How to Synthesize Text Data without Model Collapse?
ICML 2025
Free Process Rewards without Process Labels
ICML 2025
Fourier Position Embedding: Enhancing Attentionβs Periodic Extension for Length Generalization
ICML 2025
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
ICML 2025
Less is More: Efficient Model Merging with Binary Task Switch
CVPR 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
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
EMNLP 2024
On the token distance modeling ability of higher RoPE attention dimension
EMNLP 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
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning
NAACL 2024
On Large Language Modelsβ Hallucination with Regard to Known Facts
NAACL 2024
Neural Residual Diffusion Models for Deep Scalable Vision Generation
NIPS 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
Exploring Adversarial Robustness of Deep State Space Models
NIPS 2024
UltraMedical: Building Specialized Generalists in Biomedicine
NIPS 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
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
EMNLP 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
Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization
EMNLP 2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
NAACL 2021
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
EMNLP 2021
Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products
AAAI 2020
Zero-Shot Text-to-SQL Learning with Auxiliary Task
AAAI 2020
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product
EMNLP 2020
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
Self-Attention Guided Copy Mechanism for Abstractive Summarization
ACL 2020
Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning
INTERSPEECH 2020
Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed
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
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
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
ACL 2019
Relation Module for Non-Answerable Predictions on Reading Comprehension
CONLL 2019
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
ICLR 2019
On the Convergence and Robustness of Adversarial Training
ICML 2019
Speaker Diarization with Lexical Information
INTERSPEECH 2019
Direct-Path Signal Cross-Correlation Estimation for Sound Source Localization in Reverberation
INTERSPEECH 2019
Multi-Stride Self-Attention for Speech Recognition
INTERSPEECH 2019
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
IJCAI 2018
Diverse Few-Shot Text Classification with Multiple Metrics
NAACL 2018
Improved Neural Relation Detection for Knowledge Base Question Answering
ACL 2017
Group Sparse CNNs for Question Classification with Answer Sets
ACL 2017
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
INTERSPEECH 2017
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
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling
EMNLP 2016
Improved Representation Learning for Question Answer Matching
ACL 2016
Labeled Data Generation with Encoder-Decoder LSTM for Semantic Slot Filling
INTERSPEECH 2016
Simple Question Answering by Attentive Convolutional Neural Network
COLING 2016
Pointing the Unknown Words
ACL 2016
Medical Synonym Extraction with Concept Space Models
IJCAI 2015
Classifying Relations by Ranking with Convolutional Neural Networks
ACL 2015
Classifying Relations by Ranking with Convolutional Neural Networks
IJCNLP 2015
Dependency-based Convolutional Neural Networks for Sentence Embedding
IJCNLP 2015
Efficient Hyper-parameter Optimization for NLP Applications
EMNLP 2015
Dependency-based Convolutional Neural Networks for Sentence Embedding
ACL 2015
Two-Neighbor Orientation Model with Cross-Boundary Global Contexts
ACL 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
Enlisting the Ghost: Modeling Empty Categories for Machine Translation
ACL 2013
Discriminative Training of 150 Million Translation Parameters and Its Application to Pruning
NAACL 2013
A Corpus Level MIRA Tuning Strategy for Machine Translation
EMNLP 2013
What is Hidden among Translation Rules
EMNLP 2013
Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages
ACL 2010
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
EMNLP 2010
Two Methods for Extending Hierarchical Rules from the Bilingual Chart Parsing
COLING 2010
A Power Mean Based Algorithm for Combining Multiple Alignment Tables
COLING 2010
Optimizing Word Alignment Combination For Phrase Table Training
ACL 2009
Optimizing Word Alignment Combination For Phrase Table Training
IJCNLP 2009