| 2026 | AAAI | SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design. | Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu |
| 2025 | AAAI | DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder. | Ente Lin, Xujie Zhang, Fuwei Zhao, Yuxuan Luo, Xin Dong, Long Zeng, Xiaodan Liang |
| 2025 | EMNLP | MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. | Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo |
| 2025 | ICASSP | Medical Image Segmentation via Sparse Coding Decoder. | Long Zeng, Mingwei Zhu, Kaigui Wu, Zefang Li |
| 2025 | ICASSP | Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusion. | Yan Chen, Di Huang, Zhichao Liao, Xi Cheng, Xinghui Li, Long Zeng |
| 2025 | ICCV | Constraint-Aware Feature Learning for Parametric Point Cloud. | Xi Cheng, Ruiqi Lei, Di Huang, Zhichao Liao, Fengyuan Piao, Yan Chen, Pingfa Feng, Long Zeng |
| 2025 | IROS | Diffusion Suction Grasping with Large-Scale Parcel Dataset. | Ding-Tao Huang, Debei Hua, Dongfang Yu, Xinyi He, En-Te Lin, Liang-Hong Wang, Jin-Liang Hou, Long Zeng |
| 2025 | ICRA | GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction. | Haodong Xiang, Xinghui Li, Kai Cheng, Xiansong Lai, Wanting Zhang, Zhichao Liao, Long Zeng, Xueping Liu |
| 2025 | SMC | Data-Driven MPC with Data Selection for Flexible Cable-Driven Robotic Arms. | Huayue Liang, Yanbo Chen, Hongyang Cheng, Yanzhao Yu, Shoujie Li, Junbo Tan, Xueqian Wang, Long Zeng |
| 2025 | WWW | Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection. | Long Zeng, Jianxiang Yu, Jiapeng Zhu, Qingsong Zhong, Xiang Li |
| 2024 | EMNLP | Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. | Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li |
| 2024 | ICIP | Fine-Detailed Neural Indoor Scene Reconstruction Using Multi-Level Importance Sampling And Multi-View Consistency. | Xinghui Li, Yuchen Ji, Xiansong Lai, Wanting Zhang, Long Zeng |
| 2024 | IROS | SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios. | Ding-Tao Huang, En-Te Lin, Lipeng Chen, Li-Fu Liu, Long Zeng |
| 2024 | IROS | A Two-Stage Reinforcement Learning Approach for Robot Navigation in Long-range Indoor Dense Crowd Environments. | Xinghui Jing, Xin Xiong, Fuhao Li, Tao Zhang, Long Zeng |
| 2024 | IROS | GRID: Scene-Graph-based Instruction-driven Robotic Task Planning. | Zhe Ni, Xiaoxin Deng, Cong Tai, Xinyue Zhu, Qinghongbing Xie, Weihang Huang, Xiang Wu, Long Zeng |
| 2024 | IROS | ParametricNet++: A 6DoF Pose Estimation Network with Sparse Keypoint Recovery for Parametric Shapes in Stacked Scenarios. | Yihan Xie, Wei Jie Lv, Xin-Yu Zhang, Yihong Chen, Long Zeng |
| 2024 | ICRA | Mobile Robot Oriented Large-Scale Indoor Dataset for Dynamic Scene Understanding. | Yifan Tang, Cong Tai, Fang-xing Chen, Wanting Zhang, Tao Zhang, Xue-Ping Liu, Yong-Jin Liu, Long Zeng |
| 2023 | IROS | Domain Adaptation on Point Clouds for 6D Pose Estimation in Bin-Picking Scenarios. | Liang Zhao, Meng Sun, Wei Jie Lv, Xin-Yu Zhang, Long Zeng |
| 2023 | ICRA | Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses. | Hao Zhang, Hongzhuo Liang, Lin Cong, Jianzhi Lyu, Long Zeng, Pingfa Feng, Jianwei Zhang |
| 2022 | CVPR | Class-Aware Contrastive Semi-Supervised Learning. | Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong Liu, Feng Zheng, Wei Zhang, Chengjie Wang, Long Zeng |
| 2021 | ICRA | Efficient SE(3) Reachability Map Generation via Interplanar Integration of Intra-planar Convolutions. | Yiheng Han, Jia Pan, Mengfei Xia, Long Zeng, Yong-Jin Liu |
| 2021 | ICRA | ParametricNet: 6DoF Pose Estimation Network for Parametric Shapes in Stacked Scenarios. | Long Zeng, Wei Jie Lv, Xin-Yu Zhang, Yong-Jin Liu |
| 2019 | IROS | PPR-Net: Point-wise Pose Regression Network for Instance Segmentation and 6D Pose Estimation in Bin-picking Scenarios. | Zhi-Kai Dong, Sicheng Liu, Tao Zhou, Hui Cheng, Long Zeng, Xingyao Yu, Houde Liu |
| 2018 | ECCV | SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters. | Yifan Xu, Tianqi Fan, Mingye Xu, Long Zeng, Yu Qiao |
| 2017 | IECON | Prediction of PV output based on local mean decomposition under limited information. | Di Zhang, Canbing Li, Diansheng Luo, Chong Wang, Long Zeng, Bowen Yan, Pengda Wang |
| 2014 | HCI | Comparing Chinese and German's Emotional Reaction to Perfume. | Mengyu Guo, Zhe Chen, Hui Li, Pei-Luen Patrick Rau, Long Zeng, Xiangheng Wang, Nico Wendler, Lahcen Feddol |