Chen, Bo

104 publications

ICLR 2025 Advancing Graph Generation Through Beta Diffusion Xinyang Liu, Yilin He, Bo Chen, Mingyuan Zhou

ICML 2025 Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation Tiansheng Wen, Yifei Wang, Zequn Zeng, Zhong Peng, Yudi Su, Xinyang Liu, Bo Chen, Hongwei Liu, Stefanie Jegelka, Chenyu You

AISTATS 2025 Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-Context by Multi-Step Gradient Descent Bo Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song

NeurIPS 2025 Channel Matters: Estimating Channel Influence for Multivariate Time Series Muyao Wang, Zeke Xie, Bo Chen, Hongwei Liu, James Kwok

CVPR 2025 Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models Yan Xie, Zequn Zeng, Hao Zhang, Yucheng Ding, Yi Wang, Zhengjue Wang, Bo Chen, Hongwei Liu

ICLR 2025 Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-Negative Decision Layer Xinyue Hu, Zhibin Duan, Bo Chen, Mingyuan Zhou

CVPR 2025 Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification Zequn Zeng, Yudi Su, Jianqiao Sun, Tiansheng Wen, Hao Zhang, Zhengjue Wang, Bo Chen, Hongwei Liu, Jiawei Ma

NeurIPS 2025 FedEL: Federated Elastic Learning for Heterogeneous Devices Letian Zhang, Bo Chen, Jieming Bian, Lei Wang, Jie Xu

CPAL 2025 HSR-Enhanced Sparse Attention Acceleration Bo Chen, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song

ICLRW 2025 High-Order Matching for One-Step Shortcut Diffusion Models Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan

AAAI 2025 LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

UAI 2025 NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan, Xugang Ye

NeurIPS 2025 NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception Shao Congzhang, Quan Yuan, Guiyang Luo, Yue Hu, Danni Wang, Liu Yilin, Rui Pan, Bo Chen, Jinglin Li

AAAI 2025 Numerical Pruning for Efficient Autoregressive Models Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

ICML 2025 OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-Class Anomaly Detection via Adversarial Distillation Yaoxuan Feng, Wenchao Chen, Yuxin Li, Bo Chen, Yubiao Wang, Zixuan Zhao, Hongwei Liu, Mingyuan Zhou

CVPR 2025 OmniMMI: A Comprehensive Multi-Modal Interaction Benchmark in Streaming Video Contexts Yuxuan Wang, Yueqian Wang, Bo Chen, Tong Wu, Dongyan Zhao, Zilong Zheng

IJCAI 2025 WenyanGPT: A Large Language Model for Classical Chinese Tasks Xinyu Yao, Mengdi Wang, Bo Chen, Xiaobing Zhao

AAAI 2024 Considering Nonstationary Within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting Muyao Wang, Wenchao Chen, Bo Chen

ECCV 2024 Instruction Tuning-Free Visual Token Complement for Multimodal LLMs Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang

NeurIPS 2024 MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song

ICMLW 2024 MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song

CVPR 2024 MeaCap: Memory-Augmented Zero-Shot Image Captioning Zequn Zeng, Yan Xie, Hao Zhang, Chiyu Chen, Bo Chen, Zhengjue Wang

UAI 2024 Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models Xinyang Liu, Dongsheng Wang, Bowei Fang, Miaoge Li, Yishi Xu, Zhibin Duan, Bo Chen, Mingyuan Zhou

NeurIPS 2024 Training Compute-Optimal Protein Language Models Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song

ICMLW 2024 Training Compute-Optimal Protein Language Models Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song

ICMLW 2024 Training Compute-Optimal Protein Language Models Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song

ICLR 2024 Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting Yuxin Li, Wenchao Chen, Xinyue Hu, Bo Chen, Baolin Sun, Mingyuan Zhou

ICML 2024 Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection Yuxin Li, Yaoxuan Feng, Bo Chen, Wenchao Chen, Yubiao Wang, Xinyue Hu, Baolin Sun, Chunhui Qu, Mingyuan Zhou

ICLR 2024 Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration Yifeng Fan, Yongqiang Li, Bo Chen

ICML 2023 Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou

CVPR 2023 ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing Zequn Zeng, Hao Zhang, Ruiying Lu, Dongsheng Wang, Bo Chen, Zhengjue Wang

NeurIPS 2023 Context-Guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes Yishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou

AAAI 2023 Dialogue Rewriting via Skeleton-Guided Generation Chunlei Xin, Hongyu Lin, Shan Wu, Xianpei Han, Bo Chen, Wen Dai, Shuai Chen, Bin Wang, Le Sun

UAI 2023 Differential Privacy in Cooperative Multiagent Planning Bo Chen, Calvin Hawkins, Mustafa O. Karabag, Cyrus Neary, Matthew Hale, Ufuk Topcu

NeurIPS 2023 Few-Shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou

IJCAI 2023 GPLight: Grouped Multi-Agent Reinforcement Learning for Large-Scale Traffic Signal Control Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan

NeurIPS 2023 Hierarchical Vector Quantized Transformer for Multi-Class Unsupervised Anomaly Detection Ruiying Lu, YuJie Wu, Long Tian, Dongsheng Wang, Bo Chen, Xiyang Liu, Ruimin Hu

ICMLW 2023 Neural Image Compression with Quantization Rectifier Wei Luo, Bo Chen

ICCV 2023 PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification Miaoge Li, Dongsheng Wang, Xinyang Liu, Zequn Zeng, Ruiying Lu, Bo Chen, Mingyuan Zhou

ICML 2023 Prototype-Oriented Unsupervised Anomaly Detection for Multivariate Time Series Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou

ICCV 2023 Prototypes-Oriented Transductive Few-Shot Learning with Conditional Transport Long Tian, Jingyi Feng, Xiaoqiang Chai, Wenchao Chen, Liming Wang, Xiyang Liu, Bo Chen

NeurIPS 2023 Tuning Multi-Mode Token-Level Prompt Alignment Across Modalities Dongsheng Wang, Miaoge Li, Xinyang Liu, MingSheng Xu, Bo Chen, Hanwang Zhang

NeurIPS 2022 A Variational Edge Partition Model for Supervised Graph Representation Learning Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou

NeurIPS 2022 Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou

ICML 2022 Bayesian Deep Embedding Topic Meta-Learner Zhibin Duan, Yishi Xu, Jianqiao Sun, Bo Chen, Wenchao Chen, Chaojie Wang, Mingyuan Zhou

AAAI 2022 CODE: Contrastive Pre-Training with Adversarial Fine-Tuning for Zero-Shot Expert Linking Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang

ICML 2022 Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection Wenchao Chen, Long Tian, Bo Chen, Liang Dai, Zhibin Duan, Mingyuan Zhou

NeurIPS 2022 HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding Yi.shi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou

NeurIPS 2022 Knowledge-Aware Bayesian Deep Topic Model Dongsheng Wang, Yi.shi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou

IJCAI 2022 Neural Re-Ranking in Multi-Stage Recommender Systems: A Review Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang

WACV 2022 Occlusion-Robust Object Pose Estimation with Holistic Representation Bo Chen, Tat-Jun Chin, Marius Klimavicius

WACV 2022 Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell

ICLR 2022 Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings Dongsheng Wang, Dan dan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou

CVPRW 2022 Update Compression for Deep Neural Networks on the Edge Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin

NeurIPS 2021 A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou

CVPRW 2021 A Spacecraft Dataset for Detection, Segmentation and Parts Recognition Dung Anh Hoang, Bo Chen, Tat-Jun Chin

ICML 2021 Bayesian Attention Belief Networks Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou

AAAI 2021 Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation Ning Bian, Xianpei Han, Bo Chen, Le Sun

CVPR 2021 Memory-Efficient Network for Large-Scale Video Compressive Sensing Ziheng Cheng, Bo Chen, Guanliang Liu, Hao Zhang, Ruiying Lu, Zhengjue Wang, Xin Yuan

CVPR 2021 MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan

CVPR 2021 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen

ICML 2021 Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou

CVPRW 2021 Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo

NeurIPS 2021 TopicNet: Semantic Graph-Guided Topic Discovery Zhibin Duan, Yi.shi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou

IJCAI 2020 Alleviate Dataset Shift Problem in Fine-Grained Entity Typing with Virtual Adversarial Training Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren

IJCAI 2020 BERT-INT: A BERT-Based Interaction Model for Knowledge Graph Alignment Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li

ECCV 2020 BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng, Xin Yuan

NeurIPS 2020 Bayesian Attention Modules Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou

NeurIPS 2020 Bidirectional Convolutional Poisson Gamma Dynamical Systems Wenchao Chen, Chaojie Wang, Bo Chen, Yicheng Liu, Hao Zhang, Mingyuan Zhou

NeurIPS 2020 Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network Chaojie Wang, Hao Zhang, Bo Chen, Dongsheng Wang, Zhengjue Wang, Mingyuan Zhou

AISTATS 2020 Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification Zhengjue Wang, Chaojie Wang, Hao Zhang, Zhibin Duan, Mingyuan Zhou, Bo Chen

AAAI 2020 Learning to mAP Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing Bo Chen, Xianpei Han, Ben He, Le Sun

AAAI 2020 PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall

ICML 2020 Recurrent Hierarchical Topic-Guided RNN for Language Generation Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou

IJCAI 2020 Switching Poisson Gamma Dynamical Systems Wenchao Chen, Bo Chen, Yicheng Liu, Qianru Zhao, Mingyuan Zhou

ICLR 2020 Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling Hao Zhang, Bo Chen, Long Tian, Zhengjue Wang, Mingyuan Zhou

IJCAI 2019 CFM: Convolutional Factorization Machines for Context-Aware Recommendation Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose

ICML 2019 Convolutional Poisson Gamma Belief Network Chaojie Wang, Bo Chen, Sucheng Xiao, Mingyuan Zhou

IJCAI 2019 End-to-End Multi-Perspective Matching for Entity Resolution Cheng Fu, Xianpei Han, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong

AAAI 2019 Hierarchical Reinforcement Learning for Course Recommendation in MOOCs Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun

ICCVW 2019 Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin

AAAI 2018 Conversational Model Adaptation via KL Divergence Regularization Juncen Li, Ping Luo, Fen Lin, Bo Chen

NeurIPS 2018 Deep Poisson Gamma Dynamical Systems Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou

AAAI 2018 Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He

MLJ 2018 Local Contrast as an Effective Means to Robust Clustering Against Varying Densities Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu

AAAI 2018 Multimodal Poisson Gamma Belief Network Chaojie Wang, Bo Chen, Mingyuan Zhou

ECCV 2018 NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam

AAAI 2018 Personalized Privacy-Preserving Social Recommendation Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang

AAAI 2018 Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He

ICLR 2018 WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling Hao Zhang, Bo Chen, Dandan Guo, Mingyuan Zhou

ICML 2017 Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou

AAAI 2017 Mechanism-Aware Neural Machine for Dialogue Response Generation Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He

CVPR 2017 Seeing into Darkness: Scotopic Visual Recognition Bo Chen, Pietro Perona

JMLR 2016 Augmentable Gamma Belief Networks Mingyuan Zhou, Yulai Cong, Bo Chen

MLJ 2015 Half-Space Mass: A Maximally Robust and Efficient Data Depth Method Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari

ICCVW 2015 Scotopic Visual Recognition Bo Chen, Pietro Perona

NeurIPS 2015 The Poisson Gamma Belief Network Mingyuan Zhou, Yulai Cong, Bo Chen

CVPR 2014 Learning Fine-Grained Image Similarity with Deep Ranking Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu

ICML 2012 Joint Optimization and Variable Selection of High-Dimensional Gaussian Processes Bo Chen, Rui M. Castro, Andreas Krause

NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data Bo Chen, David E. Carlson, Lawrence Carin

NeurIPS 2011 Predicting Response Time and Error Rates in Visual Search Bo Chen, Vidhya Navalpakkam, Pietro Perona

ICML 2011 The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin

AISTATS 2010 Inductive Principles for Restricted Boltzmann Machine Learning Benjamin Marlin, Kevin Swersky, Bo Chen, Nando Freitas

ECML-PKDD 2006 Fast Spectral Clustering of Data Using Sequential Matrix Compression Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Ying Ma