CSquare: A new kilo-core-oriented topology. - Naijun Zheng; Huaxi Gu; Xin Huang; Xiaokang Chen (Microprocess. Microsystems, 2015)

Extending Blockchain Functionality with Statechain. - Xiaokang Chen; Kunlong Zhang (ICPADS, 2017)

Research on the Method and System of Word Segmentation and POS Tagging for Ancient Chinese Medicine Literature. - Xianjun Fu; Ting Yuan; Xuebo Li; Zhenguo Wang; Yang Zhou; Fangning Ju; Jintong Li; Xiaokang Chen; Sang Xiaoming (BIBM, 2019)

2.5D Convolution for RGB-D Semantic Segmentation. - Yajie Xing; Jingbo Wang 003; Xiaokang Chen; Gang Zeng (ICIP, 2019)

Coupling Two-Stream RGB-D Semantic Segmentation Network by Idempotent Mappings. - Yajie Xing; Jingbo Wang 003; Xiaokang Chen; Gang Zeng (ICIP, 2019)

3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior. - Xiaokang Chen; Kwan-Yee Lin; Chen Qian 006; Gang Zeng; Hongsheng Li 001 (CVPR, 2020)

Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation. - Xiaokang Chen; Kwan-Yee Lin; Jingbo Wang 003; Wayne Wu; Chen Qian 006; Hongsheng Li 001; Gang Zeng (ECCV (11), 2020)

Web service creation in SOA based on the gSOAP. - Zheshuai Zhou; Yuntao Li; Xiaokang Chen; Lin Pan (EITCE, 2020)

Real-Time Semantic Scene Completion Via Feature Aggregation And Conditioned Prediction. - Xiaokang Chen; Yajie Xing; Gang Zeng (ICIP, 2020)

Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision. - Xiaokang Chen; Yuhui Yuan; Gang Zeng; Jingdong Wang 001 (CVPR, 2021)

Conditional DETR for Fast Training Convergence. - Depu Meng; Xiaokang Chen; Zejia Fan; Gang Zeng; Houqiang Li; Yuhui Yuan; Lei Sun; Jingdong Wang 001 (ICCV, 2021)

Joint Implicit Image Function for Guided Depth Super-Resolution. - Jiaxiang Tang; Xiaokang Chen; Gang Zeng (ACM Multimedia, 2021)

Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective. - Jiaxiang Tang; Xiaokang Chen; Jingbo Wang 003; Gang Zeng (AAAI, 2022)

Point Scene Understanding via Disentangled Instance Mesh Reconstruction. - Jiaxiang Tang; Xiaokang Chen; Jingbo Wang 003; Gang Zeng (ECCV (32), 2022)

MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation. - Min Zhong; Xinghao Chen 001; Xiaokang Chen; Gang Zeng; Yunhe Wang 001 (ICME, 2022)

Compressible-composable NeRF via Rank-residual Decomposition. - Jiaxiang Tang; Xiaokang Chen; Jingbo Wang 003; Gang Zeng (NeurIPS, 2022)

Conditional DETR V2: Efficient Detection Transformer with Box Queries. - Xiaokang Chen; Fangyun Wei; Gang Zeng; Jingdong Wang 001 (CoRR, 2022)

Group DETR: Fast Training Convergence with Decoupled One-to-Many Label Assignment. - Qiang Chen 007; Xiaokang Chen; Gang Zeng; Jingdong Wang 001 (CoRR, 2022)

Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining. - Qiang Chen 007; Jian Wang 066; Chuchu Han; Shan Zhang; Zexian Li; Xiaokang Chen; Jiahui Chen; Xiaodi Wang; Shuming Han; Gang Zhang; Haocheng Feng; Kun Yao; et al. (CoRR, 2022)

D3ETR: Decoder Distillation for Detection Transformer. - Xiaokang Chen; Jiahui Chen; Yan Liu; Gang Zeng (CoRR, 2022)

CAE v2: Context Autoencoder with CLIP Target. - Xinyu Zhang 015; Jiahui Chen; Junkun Yuan; Qiang Chen 007; Jian Wang 066; Xiaodi Wang; Shumin Han; Xiaokang Chen; Jimin Pi; Kun Yao; Junyu Han; Errui Ding; et al. (CoRR, 2022)

Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition. - Jiaxiang Tang; Kaisiyuan Wang; Hang Zhou 009; Xiaokang Chen; Dongliang He; Tianshu Hu; Jingtuo Liu; Gang Zeng; Jingdong Wang 001 (CoRR, 2022)

Uncovering and Categorizing Social Biases in Text-to-SQL. - Yan Liu 002; Yan Gao 002; Zhe Su; Xiaokang Chen; Elliott Ash; Jian-Guang Lou (ACL (1), 2023)

Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios. - Yan Liu; Xiaokang Chen; Qi Dai 001 (ICASSP, 2023)

Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment. - Qiang Chen 007; Xiaokang Chen; Jian Wang 066; Shan Zhang; Kun Yao; Haocheng Feng; Junyu Han; Errui Ding; Gang Zeng; Jingdong Wang 001 (ICCV, 2023)

Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement. - Jiaxiang Tang; Hang Zhou 009; Xiaokang Chen; Tianshu Hu; Errui Ding; Jingdong Wang 001; Gang Zeng (ICCV, 2023)

Uncovering and Quantifying Social Biases in Code Generation. - Yan Liu 002; Xiaokang Chen; Yan Gao 002; Zhe Su; Fengji Zhang; Daoguang Zan; Jian-Guang Lou; Pin-Yu Chen; Tsung-Yi Ho (NeurIPS, 2023)

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks. - Wenhai Wang; Zhe Chen 017; Xiaokang Chen; Jiannan Wu; Xizhou Zhu; Gang Zeng; Ping Luo 002; Tong Lu; Jie Zhou 001; Yu Qiao 001; Jifeng Dai (NeurIPS, 2023)

Real-time 3D Semantic Scene Completion Via Feature Aggregation and Conditioned Prediction. - Xiaokang Chen; Yajie Xing; Gang Zeng (CoRR, 2023)

Interactive Segment Anything NeRF with Feature Imitation. - Xiaokang Chen; Jiaxiang Tang; Diwen Wan; Jingbo Wang 003; Gang Zeng (CoRR, 2023)

CAE v2: Context Autoencoder with CLIP Latent Alignment. - Xinyu Zhang 015; Jiahui Chen; Junkun Yuan; Qiang Chen 007; Jian Wang 066; Xiaodi Wang; Shumin Han; Xiaokang Chen; Jimin Pi; Kun Yao; Junyu Han; Errui Ding; et al. (Trans. Mach. Learn. Res., 2023)

Understanding Self-Supervised Pretraining with Part-Aware Representation Learning. - Jie Zhu; Jiyang Qi; Mingyu Ding; Xiaokang Chen; Ping Luo 002; Xinggang Wang; Wenyu Liu 001; Leye Wang; Jingdong Wang 001 (Trans. Mach. Learn. Res., 2023)

Lightweight container code recognition based on multi-reuse feature fusion and multi-branch structure merger. - Dapeng Yang; Guanghui Wang; Mingtang Liu; Shuang Yue; Hao Zhang; Xiaokang Chen; Mengxiao Zhang (J. Real Time Image Process., 2023)

LGM: Large Multi-view Gaussian Model for High-Resolution 3D Content Creation. - Jiaxiang Tang; Zhaoxi Chen 009; Xiaokang Chen; Tengfei Wang 002; Gang Zeng; Ziwei Liu 002 (ECCV (4), 2024)

Improving Long Text Understanding with Knowledge Distilled from Summarization Model. - Yan Liu; Yazheng Yang; Xiaokang Chen (ICASSP, 2024)

Overview of ML-aided QoT Estimation in Optical Networks: A Perspective of Model Generalization. - Zhenlin Ouyang; Xiaokang Chen; Zhengyong Liu; Xiaoliang Chen; Zuqing Zhu (ICCT, 2024)

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models. - Yan Liu 002; Yu Liu; Xiaokang Chen; Pin-Yu Chen; Daoguang Zan; Min-Yen Kan; Tsung-Yi Ho (ICLR, 2024)

Open-set Hierarchical Semantic Segmentation for 3D Scene. - Diwen Wan; Jiaxiang Tang; Jingbo Wang 003; Xiaokang Chen; Lingyun Gan; Gang Zeng (ICME, 2024)

D3ETR: Decoder Distillation for Detection Transformer. - Xiaokang Chen; Jiahui Chen; Yan Liu; Jiaxiang Tang; Gang Zeng (IJCAI, 2024)

Experimental Demonstration of Automated ML Service Provisioning for VNT Configuration in SDM Networks. - Hanyu Gao; Xiaokang Chen; Wenbang Zheng; Aoxue Wang; Jingshun Pan; Xiaoliang Chen; Zhaohui Li (OFC, 2024)

Scaling Optical Network Fault Management with Decentralized Graph Learning. - Qunzhi Lin; Xiaokang Chen; Zhenlin Ouyang; Hanyu Gao; Xiaoliang Chen; Zhaohui Li (OFC, 2024)

InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting. - Jiaxiang Tang; Ruijie Lu; Xiaokang Chen; Xiang Wen; Gang Zeng; Ziwei Liu 002 (CoRR, 2024)

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. - DeepSeek-AI; Aixin Liu; Bei Feng; Bin Wang 065; Bingxuan Wang; Bo Liu 039; Chenggang Zhao; Chengqi Deng; Chong Ruan; Damai Dai; Daya Guo; Dejian Yang; et al. (CoRR, 2024)

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models. - Yan Liu 002; Yu Liu; Xiaokang Chen; Pin-Yu Chen; Daoguang Zan; Min-Yen Kan; Tsung-Yi Ho (CoRR, 2024)

Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. - Yan Liu 002; Xiaoyuan Yi; Xiaokang Chen; Jing Yao; Jingwei Yi; Daoguang Zan; Zheng Liu 011; Xing Xie 001; Tsung-Yi Ho (CoRR, 2024)

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding. - Zhiyu Wu; Xiaokang Chen; Zizheng Pan; Xingchao Liu; Wen Liu; Damai Dai; Huazuo Gao; Yiyang Ma; Chengyue Wu; Bingxuan Wang; Zhenda Xie; Yu Wu; et al. (CoRR, 2024)

Context Autoencoder for Self-supervised Representation Learning. - Xiaokang Chen; Mingyu Ding; Xiaodi Wang; Ying Xin; Shentong Mo; Yunhao Wang; Shumin Han; Ping Luo 002; Gang Zeng; Jingdong Wang 001 (Int. J. Comput. Vis., 2024)

Water level prediction model based on blockchain and LSTM. - Mingtang Liu; Mengxiao Zhang; Peng Zhang; Guanghui Wang; Xiaokang Chen; Hao Zhang (J. Intell. Fuzzy Syst., 2024)

JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation. - Yiyang Ma; Xingchao Liu; Xiaokang Chen; Wen Liu; Chengyue Wu; Zhiyu Wu; Zizheng Pan; Zhenda Xie; Haowei Zhang; Xingkai Yu; Liang Zhao; Yisong Wang; et al. (CVPR, 2025)

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation. - Chengyue Wu; Xiaokang Chen; Zhiyu Wu; Yiyang Ma; Xingchao Liu; Zizheng Pan; Wen Liu; Zhenda Xie; Xingkai Yu; Chong Ruan; Ping Luo 002 (CVPR, 2025)

SST: Self-training with self-adaptive thresholding for semi-supervised learning. - Shuai Zhao; Heyan Huang; Xinge Li; Xiaokang Chen; Rui Wang 043 (Inf. Process. Manag., 2025)

Interpretable optical network fault detection and localization with multi-task graph prototype learning. - Xiaokang Chen; Xiaoliang Chen; Zuqing Zhu (J. Opt. Commun. Netw., 2025)

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling. - Xiaokang Chen; Zhiyu Wu; Xingchao Liu; Zizheng Pan; Wen Liu; Zhenda Xie; Xingkai Yu; Chong Ruan (CoRR, 2025)