FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. - Taolin Zhang 003; Chuan Chen 001; Yaomin Chang; Lin Shu; Zibin Zheng (CoRR, 2022)

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. - Taolin Zhang 003; Sunan He; Tao Dai 001; Zhi Wang 001; Bin Chen 011; Shu-Tao Xia (AAAI, 2024)

Multimodal Label Relevance Ranking via Reinforcement Learning. - Taian Guo; Taolin Zhang 003; Haoqian Wu; Hanjun Li 002; Ruizhi Qiao; Xing Sun 001 (ECCV (66), 2024)

Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. - Taolin Zhang 003; Jiawang Bai; Zhihe Lu; Dongze Lian; Genping Wang; Xinchao Wang; Shu-Tao Xia (ECCV (45), 2024)

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping. - Taolin Zhang 003; Jinpeng Wang 002; Hang Guo; Tao Dai 001; Bin Chen 011; Shu-Tao Xia (NeurIPS, 2024)

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. - Hang Guo; Tao Dai 001; Zhihao Ouyang; Taolin Zhang 003; Yaohua Zha; Bin Chen 011; Shu-Tao Xia (NeurIPS, 2024)

Towards Scalable Semantic Representation for Recommendation. - Taolin Zhang 003; Junwei Pan; Jinpeng Wang 002; Yaohua Zha; Tao Dai 001; Bin Chen 011; Ruisheng Luo; Xiaoxiang Deng; Yuan Wang; Ming Yue; Jie Jiang 015; Shu-Tao Xia (CoRR, 2024)

Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders. - Yaohua Zha; Tao Dai 001; Yanzi Wang; Hang Guo; Taolin Zhang 003; Zhihao Ouyang; Chunlin Fan; Bin Chen 011; Ke Chen; Shu-Tao Xia (CoRR, 2024)

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. - Taolin Zhang 003; Chengyuan Mai; Yaomin Chang; Chuan Chen 001; Lin Shu; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2024)

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement. - Maosongcao Maosongcao; Taolin Zhang 003; Mo Li 012; Chuyu Zhang; Yunxin Liu; Conghui He; Haodong Duan; Songyang Zhang; Kai Chen 026 (ACL (1), 2025)

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement. - Maosong Cao; Taolin Zhang 003; Mo Li 012; Chuyu Zhang; Yunxin Liu; Haodong Duan; Songyang Zhang; Kai Chen 026 (CoRR, 2025)

FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning. - Hang Guo; Yawei Li 001; Taolin Zhang 003; Jiangshan Wang; Tao Dai 001; Shu-Tao Xia; Luca Benini (CoRR, 2025)

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective. - Junnan Liu; Hongwei Liu; Linchen Xiao; Shudong Liu 007; Taolin Zhang 003; Zihan Ma 010; Songyang Zhang; Kai Chen 026 (CoRR, 2025)

Coding Triangle: How Does Large Language Model Understand Code? - Taolin Zhang 003; Zihan Ma 010; Maosong Cao; Junnan Liu; Songyang Zhang; Kai Chen 026 (CoRR, 2025)

Rethinking Verification for LLM Code Generation: From Generation to Testing. - Zihan Ma 010; Taolin Zhang 003; Maosong Cao; Junnan Liu; Wenwei Zhang; Minnan Luo; Songyang Zhang; Kai Chen 026 (CoRR, 2025)

CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards. - Taolin Zhang 003; Maosong Cao; Alexander Lam; Songyang Zhang; Kai Chen 026 (CoRR, 2025)