Bo Chen

CaT-GS: Efficient 3DGS Rendering for Large-Scale Scenes with Inter-frame Caching and Tile Scheduling CVPR 2026 MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection AAAI 2026 Advancing Graph Generation through Beta Diffusion ICLR 2025 Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation ICML 2025 Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent AISTATS 2025 Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning EMNLP 2025 Circuit Complexity Bounds for RoPE-based Transformer Architecture EMNLP 2025 Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models CVPR 2025 Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer ICLR 2025 Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification CVPR 2025 LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers AAAI 2025 NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism UAI 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025 OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation ICML 2025 OmniMMI: A Comprehensive Multi-modal Interaction Benchmark in Streaming Video Contexts CVPR 2025 Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval Interspeech 2025 WenyanGPT: A Large Language Model for Classical Chinese Tasks IJCAI 2025 Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024 Instruction Tuning-free Visual Token Complement for Multimodal LLMs ECCV 2024 LiFteR: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing NSDI 2024 MeaCap: Memory-Augmented Zero-shot Image Captioning CVPR 2024 MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training NeurIPS 2024 Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models UAI 2024 Training Compute-Optimal Protein Language Models NeurIPS 2024 Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting ICLR 2024 Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection ICML 2024 Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration ICLR 2024 Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process ICML 2023 Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes NeurIPS 2023 ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing CVPR 2023 Dialogue Rewriting via Skeleton-Guided Generation AAAI 2023 Differential Privacy in Cooperative Multiagent Planning UAI 2023 Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory NeurIPS 2023 GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control IJCAI 2023 Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection NeurIPS 2023 PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification ICCV 2023 Prototype-oriented unsupervised anomaly detection for multivariate time series ICML 2023 Prototypes-oriented Transductive Few-shot Learning with Conditional Transport ICCV 2023 Tuning Multi-mode Token-level Prompt Alignment across Modalities NeurIPS 2023 Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient NeurIPS 2022 A Variational Edge Partition Model for Supervised Graph Representation Learning NeurIPS 2022 Bayesian Deep Embedding Topic Meta-Learner ICML 2022 CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking AAAI 2022 Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection ICML 2022 HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding NeurIPS 2022 Knowledge-Aware Bayesian Deep Topic Model NeurIPS 2022 Neural Re-ranking in Multi-stage Recommender Systems: A Review IJCAI 2022 Occlusion-Robust Object Pose Estimation With Holistic Representation WACV 2022 Physical Adversarial Attacks on an Aerial Imagery Object Detector WACV 2022 Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings ICLR 2022 Semantic-aware Contrastive Learning for More Accurate Semantic Parsing EMNLP 2022 A Prototype-Oriented Framework for Unsupervised Domain Adaptation NeurIPS 2021 Bayesian Attention Belief Networks ICML 2021 Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation AAAI 2021 EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering ACL 2021 From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding ACL 2021 Memory-Efficient Network for Large-Scale Video Compressive Sensing CVPR 2021 MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing CVPR 2021 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators CVPR 2021 Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021 TopicNet: Semantic Graph-Guided Topic Discovery NeurIPS 2021 Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training IJCAI 2020 Bayesian Attention Modules NeurIPS 2020 BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment IJCAI 2020 Bidirectional Convolutional Poisson Gamma Dynamical Systems NeurIPS 2020 BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging ECCV 2020 Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS CVPR 2020 Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network NeurIPS 2020 End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization CVPR 2020 Friendly Topic Assistant for Transformer Based Abstractive Summarization EMNLP 2020 Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification AISTATS 2020 Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing AAAI 2020 MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020 PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms AAAI 2020 Recurrent Hierarchical Topic-Guided RNN for Language Generation ICML 2020 Switching Poisson Gamma Dynamical Systems IJCAI 2020 Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling ICLR 2020 CFM: Convolutional Factorization Machines for Context-Aware Recommendation IJCAI 2019 Convolutional Poisson Gamma Belief Network ICML 2019 End-to-End Multi-Perspective Matching for Entity Resolution IJCAI 2019 Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019 Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering NAACL 2019 KCAT: A Knowledge-Constraint Typing Annotation Tool ACL 2019 MnasNet: Platform-Aware Neural Architecture Search for Mobile CVPR 2019 Searching for MobileNetV3 ICCV 2019 Accurate Text-Enhanced Knowledge Graph Representation Learning NAACL 2018 Deep Poisson gamma dynamical systems NeurIPS 2018 High-quality Voice Conversion Using Spectrogram-Based WaveNet Vocoder Interspeech 2018 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018 NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications ECCV 2018 Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference CVPR 2018 Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing COLING 2018 Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing ACL 2018 WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling ICLR 2018 Comparison of Modeling Target in LSTM-RNN Duration Model Interspeech 2017 Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017 Discrete Duration Model for Speech Synthesis Interspeech 2017 Seeing Into Darkness: Scotopic Visual Recognition CVPR 2017 Augmentable Gamma Belief Networks JMLR 2016 Sentence Rewriting for Semantic Parsing ACL 2016 FlexRadio: Fully Flexible Radios and Networks NSDI 2015 The Poisson Gamma Belief Network NeurIPS 2015 Learning Fine-grained Image Similarity with Deep Ranking CVPR 2014 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 Predicting response time and error rates in visual search NeurIPS 2011 Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010 Chinese NER Using CRFs and Logic for the Fourth SIGHAN Bakeoff IJCNLP 2008