← Authors

Bo Chen

107 papers · 2008–2026 · 19 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (18) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (19) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (25) 🀝 Dynamic Duo (38) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) ⚑ Prolific Year (16) πŸ—ƒοΈ Keyword Collector (56) πŸ’Ž Century Club (106) ❓ The Questioner

Conferences

NIPS (19) CVPR (16) ICML (12) AAAI (10) IJCAI (8) ICLR (7) ACL (5) EMNLP (4) AISTATS (3) ECCV (3) ICCV (3) IJCNLP (3) INTERSPEECH (3) UAI (3) NAACL (2) NSDI (2) WACV (2) COLING (1) JMLR (1)

Top co-authors

Mingyuan Zhou (38) Hao Zhang (18) Zhibin Duan (16) Dongsheng Wang (14) Chaojie Wang (14) Zhengjue Wang (13) Le Sun (11) Xianpei Han (11) wenchao chen (11) Xinyang Liu (7)

Research topics

Applications (1) Education (1) Optimization & Theory (1)

Keywords

variational inference (14) topic model (11) representation learning (6) neural architecture search (6) semantic parsing (6) zero-shot learning (5) bayesian inference (5) efficient computing (5) object detection (4) model efficiency (4) gibbs sampling (4) document representation (4) latent representation (4) model compression (4) topic modeling (4) convolutional neural network (4) prototype learning (3) contrastive learning (3) optimal transport (3) knowledge graph (3)

Papers

MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection AAAI 2026
WenyanGPT: A Large Language Model for Classical Chinese Tasks IJCAI 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation ICML 2025
OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation ICML 2025
Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning EMNLP 2025
Numerical Pruning for Efficient Autoregressive Models AAAI 2025
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models CVPR 2025
NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism UAI 2025
OmniMMI: A Comprehensive Multi-modal Interaction Benchmark in Streaming Video Contexts CVPR 2025
Advancing Graph Generation through Beta Diffusion ICLR 2025
Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer ICLR 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers AAAI 2025
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent AISTATS 2025
Circuit Complexity Bounds for RoPE-based Transformer Architecture EMNLP 2025
Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification CVPR 2025
LiFteR: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing NSDI 2024
MeaCap: Memory-Augmented Zero-shot Image Captioning CVPR 2024
Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection ICML 2024
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting ICLR 2024
Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration ICLR 2024
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models UAI 2024
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training NIPS 2024
Training Compute-Optimal Protein Language Models NIPS 2024
Instruction Tuning-free Visual Token Complement for Multimodal LLMs ECCV 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory NIPS 2023
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection NIPS 2023
Tuning Multi-mode Token-level Prompt Alignment across Modalities NIPS 2023
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes NIPS 2023
Dialogue Rewriting via Skeleton-Guided Generation AAAI 2023
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing CVPR 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport ICCV 2023
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification ICCV 2023
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process ICML 2023
Prototype-oriented unsupervised anomaly detection for multivariate time series ICML 2023
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control IJCAI 2023
Differential Privacy in Cooperative Multiagent Planning UAI 2023
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings ICLR 2022
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding NIPS 2022
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient NIPS 2022
Physical Adversarial Attacks on an Aerial Imagery Object Detector WACV 2022
Neural Re-ranking in Multi-stage Recommender Systems: A Review IJCAI 2022
Knowledge-Aware Bayesian Deep Topic Model NIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning NIPS 2022
Bayesian Deep Embedding Topic Meta-Learner ICML 2022
Semantic-aware Contrastive Learning for More Accurate Semantic Parsing EMNLP 2022
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection ICML 2022
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking AAAI 2022
Occlusion-Robust Object Pose Estimation With Holistic Representation WACV 2022
A Prototype-Oriented Framework for Unsupervised Domain Adaptation NIPS 2021
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding IJCNLP 2021
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering IJCNLP 2021
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding ACL 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021
Bayesian Attention Belief Networks ICML 2021
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation AAAI 2021
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators CVPR 2021
Memory-Efficient Network for Large-Scale Video Compressive Sensing CVPR 2021
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing CVPR 2021
TopicNet: Semantic Graph-Guided Topic Discovery NIPS 2021
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering ACL 2021
Switching Poisson Gamma Dynamical Systems IJCAI 2020
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training IJCAI 2020
Bidirectional Convolutional Poisson Gamma Dynamical Systems NIPS 2020
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS CVPR 2020
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network NIPS 2020
Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing AAAI 2020
Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification AISTATS 2020
BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging ECCV 2020
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms AAAI 2020
Friendly Topic Assistant for Transformer Based Abstractive Summarization EMNLP 2020
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization CVPR 2020
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling ICLR 2020
Recurrent Hierarchical Topic-Guided RNN for Language Generation ICML 2020
Bayesian Attention Modules NIPS 2020
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment IJCAI 2020
MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR 2019
KCAT: A Knowledge-Constraint Typing Annotation Tool ACL 2019
Searching for MobileNetV3 ICCV 2019
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019
End-to-End Multi-Perspective Matching for Entity Resolution IJCAI 2019
CFM: Convolutional Factorization Machines for Context-Aware Recommendation IJCAI 2019
Convolutional Poisson Gamma Belief Network ICML 2019
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering NAACL 2019
Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing COLING 2018
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference CVPR 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications ECCV 2018
Deep Poisson gamma dynamical systems NIPS 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling ICLR 2018
High-quality Voice Conversion Using Spectrogram-Based WaveNet Vocoder INTERSPEECH 2018
Accurate Text-Enhanced Knowledge Graph Representation Learning NAACL 2018
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing ACL 2018
Comparison of Modeling Target in LSTM-RNN Duration Model INTERSPEECH 2017
Seeing Into Darkness: Scotopic Visual Recognition CVPR 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017
Discrete Duration Model for Speech Synthesis INTERSPEECH 2017
Augmentable Gamma Belief Networks JMLR 2016
Sentence Rewriting for Semantic Parsing ACL 2016
The Poisson Gamma Belief Network NIPS 2015
FlexRadio: Fully Flexible Radios and Networks NSDI 2015
Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014
On the Analysis of Multi-Channel Neural Spike Data NIPS 2011
Predicting response time and error rates in visual search NIPS 2011
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Chinese NER Using CRFs and Logic for the Fourth SIGHAN Bakeoff IJCNLP 2008