Symbol-Based Algorithms for Decoding Binary LDPC Codes with Higher-Order Modulations. - Jingbo Liu; Jingyang Yuan; Jin Sha (ISCAS, 2019)

Learning on Graphs under Label Noise. - Jingyang Yuan; Xiao Luo 001; Yifang Qin; Yusheng Zhao; Wei Ju 001; Ming Zhang 004 (ICASSP, 2023)

HOPE: High-order Graph ODE For Modeling Interacting Dynamics. - Xiao Luo 001; Jingyang Yuan; Zijie Huang 002; Huiyu Jiang; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (ICML, 2023)

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. - Jingyang Yuan; Xiao Luo 001; Yifang Qin; Zhengyang Mao; Wei Ju 001; Ming Zhang 004 (ACM Multimedia, 2023)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (CoRR, 2023)

Rank and Align: Towards Effective Source-free Graph Domain Adaptation. - Junyu Luo 002; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Jingyang Yuan; Wei Ju 001; Langechuan Liu; Ming Zhang 004 (IJCAI, 2024)

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics. - Jingyang Yuan; Gongbo Sun; Zhiping Xiao 001; Hang Zhou 008; Xiao Luo 001; Junyu Luo 002; Yusheng Zhao; Wei Ju 001; Ming Zhang 004 (NeurIPS, 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)

A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning. - Ye Yuan 016; Chengwu Liu 001; Jingyang Yuan; Gongbo Sun; Siqi Li; Ming Zhang 004 (CoRR, 2024)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response. - Junyu Luo 002; Xiao Luo 001; Kaize Ding; Jingyang Yuan; Zhiping Xiao 001; Ming Zhang 004 (CoRR, 2024)

DeepSeek-V3 Technical Report. - DeepSeek-AI; Aixin Liu; Bei Feng; Bing Xue; Bingxuan Wang; Bochao Wu; Chengda Lu; Chenggang Zhao; Chengqi Deng; Chenyu Zhang; Chong Ruan; Damai Dai; et al. (CoRR, 2024)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. - Wei Ju 001; Yusheng Zhao; Yifang Qin; Siyu Yi; Jingyang Yuan; Zhiping Xiao 001; Xiao Luo 001; Xiting Yan; Ming Zhang 004 (Inf. Fusion, 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation. - Junyu Luo 002; Yiyang Gu; Xiao Luo 001; Wei Ju 001; Zhiping Xiao 001; Yusheng Zhao; Jingyang Yuan; Ming Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Attention Bootstrapping for Multi-Modal Test-Time Adaptation. - Yusheng Zhao; Junyu Luo 002; Xiao Luo 001; Jinsheng Huang; Jingyang Yuan; Zhiping Xiao 001; Ming Zhang 004 (AAAI, 2025)

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. - Junyu Luo 002; Bohan Wu; Xiao Luo 001; Zhiping Xiao 001; Yiqiao Jin; Rong-Cheng Tu; Nan Yin; Yifan Wang 014; Jingyang Yuan; Wei Ju 001; Ming Zhang 004 (ACL (1), 2025)

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. - Jingyang Yuan; Huazuo Gao; Damai Dai; Junyu Luo 002; Liang Zhao; Zhengyan Zhang; Zhenda Xie; Yuxing Wei; Lean Wang; Zhiping Xiao 001; Yuqing Wang; Chong Ruan; et al. (ACL (1), 2025)

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. - Jinsheng Huang; Liang Chen 024; Taian Guo; Fu Zeng; Yusheng Zhao; Bohan Wu; Ye Yuan 016; Haozhe Zhao; Zhihui Guo; Yichi Zhang; Jingyang Yuan; Wei Ju 001; et al. (NAACL (Long Papers), 2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. - DeepSeek-AI; Daya Guo; Dejian Yang; Haowei Zhang; Junxiao Song; Ruoyu Zhang; Runxin Xu; Qihao Zhu; Shirong Ma; Peiyi Wang; Xiao Bi; Xiaokang Zhang; et al. (CoRR, 2025)

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. - Jingyang Yuan; Huazuo Gao; Damai Dai; Junyu Luo 002; Liang Zhao; Zhengyan Zhang; Zhenda Xie; Y. X. Wei; Lean Wang; Zhiping Xiao 001; Yuqing Wang; Chong Ruan; et al. (CoRR, 2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges. - Junyu Luo 002; Weizhi Zhang; Ye Yuan; Yusheng Zhao; Junwei Yang; Yiyang Gu; Bohan Wu; Binqi Chen; Ziyue Qiao; Qingqing Long; Rongcheng Tu; Xiao Luo 001; et al. (CoRR, 2025)