Tang, Chen

28 publications

NeurIPS 2025 Accelerating Parallel Diffusion Model Serving with Residual Compression Jiajun Luo, Yicheng Xiao, Jianru Xu, Yangxiu You, Rongwei Lu, Chen Tang, Jingyan Jiang, Zhi Wang

CoRL 2025 ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion Zichao Hu, Chen Tang, Michael Joseph Munje, Yifeng Zhu, Alex Liu, Shuijing Liu, Garrett Warnell, Peter Stone, Joydeep Biswas

IJCAI 2025 DFMU: Distribution-Based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis Chen Tang, Tingrui Shen, Xinrong Gong, Chong Zhao, Tong Zhang

ICCV 2025 DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference Jiajun Luo, Lizhuo Luo, Jianru Xu, Jiajun Song, Rongwei Lu, Chen Tang, Zhi Wang

AAAI 2025 Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone

CVPR 2025 EVOS: Efficient Implicit Neural Training via EVOlutionary Selector Weixiang Zhang, Shuzhao Xie, Chengwei Ren, Siyi Xie, Chen Tang, Shijia Ge, Mingzi Wang, Zhi Wang

AAAI 2025 JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration Mingzi Wang, Yuan Meng, Chen Tang, Weixiang Zhang, Yijian Qin, Yang Yao, Yingxin Li, Tongtong Feng, Xin Wang, Xun Guan, Zhi Wang, Wenwu Zhu

CoRL 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention Yuxin Chen, Chen Tang, Jianglan Wei, Chenran Li, Thomas Tian, Xiang Zhang, Wei Zhan, Peter Stone, Masayoshi Tomizuka

AAAI 2025 Model Lineage Closeness Analysis Chen Tang, Lan Zhang, Qi Zhao, Xirong Zhuang, Xiang-Yang Li

CVPR 2025 Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu

ICLR 2025 Residual-MPPI: Online Policy Customization for Continuous Control Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan

CoRL 2025 SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation Michael Joseph Munje, Chen Tang, Shuijing Liu, Zichao Hu, Yifeng Zhu, Jiaxun Cui, Garrett Warnell, Joydeep Biswas, Peter Stone

NeurIPS 2025 SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback Bo Lv, Nayu Liu, Chen Tang, Xin Liu, Yue Yu, Ping Luo

TMLR 2025 TempFlex: Advancing MLLMs with Temporal Perception and Natively Scalable Resolution Encoding Zhanyu Wang, Chen Tang, Haoyu He, Kuan Feng, Chao Wang, Bingni Zhang, Xiaolei Xu, Shen Wang, Luping Zhou

CVPR 2025 UniSTD: Towards Unified Spatio-Temporal Learning Across Diverse Disciplines Chen Tang, Xinzhu Ma, Encheng Su, Xiufeng Song, Xiaohong Liu, Wei-Hong Li, Lei Bai, Wanli Ouyang, Xiangyu Yue

ICML 2025 WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving Yiheng Li, Cunxin Fan, Chongjian Ge, Seth Z. Zhao, Chenran Li, Chenfeng Xu, Huaxiu Yao, Masayoshi Tomizuka, Bolei Zhou, Chen Tang, Mingyu Ding, Wei Zhan

ICLRW 2024 Investigating the Impact of Quantization on Adversarial Robustness Qun Li, Yuan Meng, Chen Tang, Jiacheng Jiang, Zhi Wang

ECCV 2024 MesonGS: Post-Training Compression of 3D Gaussians via Efficient Attribute Transformation Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shjia Ge, Zhi Wang

ECCV 2024 Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan

CVPR 2024 Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu

ECML-PKDD 2023 Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng

ICCV 2023 ElasticViT: Conflict-Aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang

NeurIPS 2023 Residual Q-Learning: Offline and Online Policy Customization Without Value Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan

ECCV 2022 Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Wen Ji, Yaowei Wang, Wenwu Zhu

ECCV 2022 PreTraM: Self-Supervised Pre-Training via Connecting Trajectory and mAP Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan

CoRL 2021 Dealing with the Unknown: Pessimistic Offline Reinforcement Learning Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan

NeurIPS 2021 Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang, Wei Zhan, Masayoshi Tomizuka

ECCV 2020 High-Quality Single-Model Deep Video Compression with Frame-Conv3D and Multi-Frame Differential Modulation Wenyu Sun, Chen Tang, Weigui Li, Zhuqing Yuan, Huazhong Yang, Yongpan Liu