Pang, Bo

36 publications

ICLRW 2025 BOLT: Bootstrap Long Chain-of-Thought in Language Models Without Distillation Bo Pang, Hanze Dong, Jiacheng Xu, Silvio Savarese, Yingbo Zhou, Caiming Xiong

IJCAI 2025 CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments Bo Pang, Tingrui Qiao, Caroline Walker, Chris Cunningham, Yun Sing Koh

ICLRW 2025 CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou

ICLR 2025 Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, R N Rithesh, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong

ICLR 2025 GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang

ICML 2025 Latent Thought Models with Variational Bayes Inference-Time Computation Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu

IJCAI 2025 Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition Ping Li, Jianan Ni, Bo Pang

NeurIPS 2024 Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

CVPR 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-Rank Experts Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut

CVPR 2024 On Scaling up a Multilingual Vision and Language Model Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, Aj Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

TMLR 2024 RLHF Workflow: From Reward Modeling to Online RLHF Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

ICLR 2023 CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong

ICML 2023 Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu

UAI 2023 Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting Deqian Kong, Bo Pang, Tian Han, Ying Nian Wu

CVPR 2023 Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving Bo Pang, Hongchi Xia, Cewu Lu

ICML 2022 Latent Diffusion Energy-Based Model for Interpretable Text Modelling Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

NeurIPS 2022 Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu

ICLR 2022 MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu

CVPR 2022 Semantic Segmentation by Early Region Proxy Yifan Zhang, Bo Pang, Cewu Lu

AAAI 2022 Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning Bo Pang, Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang, Kaiwen Zha, Jiefeng Li, Cewu Lu

ECCV 2022 Unsupervised Visual Representation Learning by Synchronous Momentum Grouping Bo Pang, Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu

WACV 2021 Efficient 3D Video Engine Using Frame Redundancy Gao Peng, Bo Pang, Cewu Lu

ICCV 2021 Human Pose Regression with Residual Log-Likelihood Estimation Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu

ICML 2021 Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification Bo Pang, Ying Nian Wu

CVPR 2021 PGT: A Progressive Method for Training Models on Long Videos Bo Pang, Gao Peng, Yizhuo Li, Cewu Lu

AAAI 2021 Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation Bo Pang, Zhong-Ping Jiang

AAAI 2021 TDAF: Top-Down Attention Framework for Vision Tasks Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu

CVPR 2021 Trajectory Prediction with Latent Belief Energy-Based Model Bo Pang, Tianyang Zhao, Xu Xie, Ying Nian Wu

NeurIPSW 2021 Unsupervised Meta-Learning via Latent Space Energy-Based Model of Symbol Vector Coupling Deqian Kong, Bo Pang, Ying Nian Wu

ECCV 2020 Asynchronous Interaction Aggregation for Action Detection Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu

AAAI 2020 Further Understanding Videos Through Adverbs: A New Video Task Bo Pang, Kaiwen Zha, Yifan Zhang, Cewu Lu

NeurIPS 2020 Learning Latent Space Energy-Based Prior Model Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu

ECCV 2020 Learning Multi-Layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu

CVPRW 2020 NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen

NeurIPSW 2020 Semi-Supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling Bo Pang, Erik Nijkamp, Jiali Cui, Tian Han, Ying Nian Wu

CVPRW 2018 Human Action Adverb Recognition: ADHA Dataset and a Three-Stream Hybrid Model Bo Pang, Kaiwen Zha, Cewu Lu