Xu, Sheng

36 publications

TMLR 2025 A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart

ICLR 2025 A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu

NeurIPS 2025 Bidirectional Representations Augmented Autoregressive Biological Sequence Generation Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Zhi Jin, ZhiQiang Gao, Nanqing Dong, Siqi Sun

ICML 2025 Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun

CVPR 2025 MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks Yifei Liu, Zhihang Zhong, Yifan Zhan, Sheng Xu, Xiao Sun

NeurIPS 2025 OmniTalker: One-Shot Real-Time Text-Driven Talking Audio-Video Generation with Multimodal Style Mimicking Zhongjian Wang, Peng Zhang, Jinwei Qi, Wang Guang Yuan, Sheng Xu, Bang Zhang

ICLR 2025 On the Performance Analysis of Momentum Method: A Frequency Domain Perspective Xianliang Li, Jun Luo, Zhiwei Zheng, Hanxiao Wang, Li Luo, Lingkun Wen, Linlong Wu, Sheng Xu

ICLR 2025 Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers Runyi Zhao, Sheng Xu, Bo Yue, Guiliang Liu

NeurIPS 2025 Uncertainty-Aware Preference Alignment for Diffusion Policies Runqing Miao, Sheng Xu, Runyi Zhao, Wai Kin Victor Chan, Guiliang Liu

ICML 2025 Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun

NeurIPS 2024 BEACON: Benchmark for Comprehensive RNA Tasks and Language Models Yuchen Ren, Zhiyuan Chen, Lifeng Qiao, Hongtai Jing, Yuchen Cai, Sheng Xu, Peng Ye, Xinzhu Ma, Siqi Sun, Hongliang Yan, Dong Yuan, Wanli Ouyang, Xihui Liu

AAAI 2024 Bi-ViT: Pushing the Limit of Vision Transformer Quantization Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

AAAI 2024 ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun

AAAI 2024 CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues Linglin Jing, Sheng Xu, Yifan Wang, Yuzhe Zhou, Tao Shen, Zhigang Ji, Hui Fang, Zhen Li, Siqi Sun

ICLR 2024 Enhancing Human-AI Collaboration Through Logic-Guided Reasoning Chengzhi Cao, Yinghao Fu, Sheng Xu, Ruimao Zhang, Shuang Li

ICML 2024 Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David Doermann, Xiao Sun

ICML 2024 Robust Inverse Constrained Reinforcement Learning Under Model Misspecification Sheng Xu, Guiliang Liu

ICLR 2024 Uncertainty-Aware Constraint Inference in Inverse Constrained Reinforcement Learning Sheng Xu, Guiliang Liu

ICMLW 2024 Uncertainty-Aware Preference Alignment in Reinforcement Learning from Human Feedback Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu

CVPR 2023 Implicit Diffusion Models for Continuous Super-Resolution Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang

CVPR 2023 Q-DETR: An Efficient Low-Bit Quantized Detection Transformer Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang

NeurIPS 2023 Q-DM: An Efficient Low-Bit Quantized Diffusion Model Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang

ICCV 2023 Representation Disparity-Aware Distillation for 3D Object Detection Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao

AAAI 2023 Resilient Binary Neural Network Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu

CVPR 2023 Target-Referenced Reactive Grasping for Dynamic Objects Jirong Liu, Ruo Zhang, Hao-Shu Fang, Minghao Gou, Hongjie Fang, Chenxi Wang, Sheng Xu, Hengxu Yan, Cewu Lu

AAAI 2022 Automatic Slides Generation for Scholarly Papers: A Fine-Grained Dataset and Baselines (Student Abstract) Sheng Xu, Xiaojun Wan

ECCV 2022 IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü

AAAI 2022 PosterBot: A System for Generating Posters of Scientific Papers with Neural Models Sheng Xu, Xiaojun Wan

NeurIPS 2022 Q-ViT: Accurate and Fully Quantized Low-Bit Vision Transformer Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo

ECCV 2022 Recurrent Bilinear Optimization for Binary Neural Networks Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo

ICLR 2021 Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS Lin Chen, Sheng Xu

CVPR 2021 Layer-Wise Searching for 1-Bit Detectors Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David Doermann

ECCVW 2020 Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection Yuan Feng, Xiaodi Wang, Ying Xin, Bin Zhang, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han

ECCVW 2020 The 1st Tiny Object Detection Challenge: Methods and Results Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

COLT 2020 Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs Sheng Xu, Zhou Fan, Sahand Negahban

ICML 2015 Robust Estimation of Transition Matrices in High Dimensional Heavy-Tailed Vector Autoregressive Processes Huitong Qiu, Sheng Xu, Fang Han, Han Liu, Brian Caffo