SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. - Pengcheng Dai; Jianlei Yang 001; Xucheng Ye; Xingzhou Cheng; Junyu Luo 002; Linghao Song; Yiran Chen 001; Weisheng Zhao (DAC, 2020)

Accelerating CNN Training by Pruning Activation Gradients. - Xucheng Ye; Pengcheng Dai; Junyu Luo 002; Xin Guo 008; Yingjie Qi; Jianlei Yang 001; Yiran Chen 001 (ECCV (25), 2020)

FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. - Junyu Luo 002; Jianlei Yang 001; Xucheng Ye; Xin Guo 008; Weisheng Zhao (CIKM, 2021)

TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding. - Dailan He; Yusheng Zhao; Junyu Luo 002; Tianrui Hui; Shaofei Huang 001; Aixi Zhang; Si Liu 001 (ACM Multimedia, 2021)

3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection. - Junyu Luo 002; Jiahui Fu 003; Xianghao Kong; Chen Gao 005; Haibing Ren; Hao Shen; Huaxia Xia; Si Liu 001 (CVPR, 2022)

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. - Yuhao Tang; Junyu Luo 002; Ling Yang 006; Xiao Luo 001; Wentao Zhang 001; Bin Cui 001 (ICDE, 2024)

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)

A Survey of Data-Efficient Graph Learning. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Qingqing Long; Junyu Luo 002; Zhiping Xiao 001; 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)

Towards Graph Contrastive Learning: A Survey and Beyond. - Wei Ju 001; Yifan Wang 014; Yifang Qin; Zhengyang Mao; Zhiping Xiao 001; Junyu Luo 002; Junwei Yang; Yiyang Gu; Dongjie Wang; Qingqing Long; Siyu Yi; Xiao Luo 001; et al. (CoRR, 2024)

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability. - Pengyun Wang; Junyu Luo 002; Yanxin Shen; Siyu Heng; Xiao Luo 001 (CoRR, 2024)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. - Pengyun Wang; Yadi Cao; Chris Russell 001; Siyu Heng; Junyu Luo 002; Yanxin Shen; Xiao Luo 001 (CoRR, 2024)

SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation. - Junyu Luo 002; Xiao Luo 001; Xiusi Chen; Zhiping Xiao 001; Wei Ju 001; 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)

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)

TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. - Yusheng Zhao; Changhu Wang; Xiao Luo 001; Junyu Luo 002; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004 (AAAI, 2025)

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation. - Junyu Luo 002; Zhizhuo Kou; Liming Yang; Xiao Luo 001; Jinsheng Huang; Zhiping Xiao 001; Jingshu Peng; Chengzhong Liu; Jiaming Ji; Xuanzhe Liu; Sirui Han; Ming Zhang 004; et al. (ACL (1), 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)

Future Matters for Present: Towards Effective Physical Simulation over Meshes. - Xiao Luo 001; Junyu Luo 002; Huiyu Jiang; Hang Zhou 008; Zhiping Xiao 001; Wei Ju 001; Carl Ji Yang; Ming Zhang 004; Yizhou Sun (KDD (1), 2025)

Semi-supervised Fine-tuning for Large Language Models. - Junyu Luo 002; Xiao Luo 001; Xiusi Chen; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (NAACL (Findings), 2025)

MATE: Masked optimal transport with dynamic selection for partial label graph learning. - Yiyang Gu; Binqi Chen; Zihao Chen; Ziyue Qiao; Xiao Luo 001; Junyu Luo 002; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (Artif. Intell., 2025)

Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval. - Junyu Luo 002; Yusheng Zhao; Xiao Luo 001; Zhiping Xiao 001; Wei Ju 001; Li Shen 008; Dacheng Tao; Ming Zhang 004 (IEEE Trans. Image Process., 2025)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. - Pengyun Wang; Yadi Cao; Chris Russell 001; Yanxin Shen; Junyu Luo 002; Ming Zhang 004; Siyu Heng; Xiao Luo 001 (Trans. Mach. Learn. Res., 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)

Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. - Yusheng Zhao; Junyu Luo 002; Xiao Luo 001; Weizhi Zhang 001; Zhiping Xiao 001; Wei Ju 001; Philip S. Yu; Ming Zhang 004 (CoRR, 2025)

MASS: Multi-Agent Simulation Scaling for Portfolio Construction. - Taian Guo; Haiyang Shen; Jinsheng Huang; Zhengyang Mao; Junyu Luo 002; Zhuoru Chen; Xuhui Liu; Bingyu Xia; Luchen Liu; Yun Ma 002; Ming Zhang 004 (CoRR, 2025)

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations. - Tian Lan 003; Yang-Hao Zhou; Zi-Ao Ma; Fanshu Sun; Rui-Qing Sun; Junyu Luo 002; Rong-Cheng Tu; Heyan Huang; Chen Xu; Zhijing Wu 001; Xian-Ling Mao (CoRR, 2025)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. - Weizhi Zhang 001; Yangning Li; Yuanchen Bei; Junyu Luo 002; Guancheng Wan; Liangwei Yang; Chenxuan Xie; Yuyao Yang; Wei-Chieh Huang; Chunyu Miao; Henry Peng Zou; Xiao Luo 001; et al. (CoRR, 2025)

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. - Junyu Luo 002; Yuhao Tang; Yiwei Fu; Xiao Luo 001; Zhizhuo Kou; Zhiping Xiao 001; Wei Ju 001; Wentao Zhang 001; Ming Zhang 004 (CoRR, 2025)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. - Yangning Li; Weizhi Zhang; Yuyao Yang; Wei-Chieh Huang; Yaozu Wu; Junyu Luo 002; Yuanchen Bei; Henry Peng Zou; Xiao Luo 001; Yusheng Zhao; Chunkit Chan; Yankai Chen 005; et al. (CoRR, 2025)