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ORCIDTaolin Zhang 0003
Person information
- affiliation: Tsinghua University, Tsinghua Shenzhen International Graduate School, Beijing, China
- affiliation (former): Sun Yat-sen University, Guandong, China
Other persons with the same name
- Taolin Zhang — disambiguation page
- Taolin Zhang 0001 — Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China (and 2 more)
- Taolin Zhang 0002 — University of Science and Technology of China, State Key Laboratory of Fire Science, Hefei, China
- Taolin Zhang 0004 — University of Sanya, China
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2020 – today
- 2025
[c6]Maosongcao Maosongcao, Taolin Zhang, Mo Li, Chuyu Zhang, Yunxin Liu, Conghui He, Haodong Duan, Songyang Zhang, Kai Chen:
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement. ACL (1) 2025: 22392-22412- [i14]Maosong Cao, Taolin Zhang, Mo Li
, Chuyu Zhang, Yunxin Liu, Haodong Duan, Songyang Zhang, Kai Chen:
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement. CoRR abs/2501.12273 (2025) - [i13]Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini:
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning. CoRR abs/2503.23367 (2025) - [i12]Junnan Liu, Hongwei Liu, Linchen Xiao, Shudong Liu, Taolin Zhang, Zihan Ma, Songyang Zhang, Kai Chen:
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective. CoRR abs/2505.19815 (2025) - [i11]Taolin Zhang, Zihan Ma, Maosong Cao, Junnan Liu, Songyang Zhang, Kai Chen:
Coding Triangle: How Does Large Language Model Understand Code? CoRR abs/2507.06138 (2025) - [i10]Zihan Ma, Taolin Zhang, Maosong Cao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen:
Rethinking Verification for LLM Code Generation: From Generation to Testing. CoRR abs/2507.06920 (2025) - [i9]Taolin Zhang, Maosong Cao, Alexander Lam, Songyang Zhang, Kai Chen:
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards. CoRR abs/2507.09104 (2025) - 2024
- [j1]Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng:
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. ACM Trans. Knowl. Discov. Data 18(2): 40:1-40:27 (2024) - [c5]Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia:
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. AAAI 2024: 7296-7304 - [c4]Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia:
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. ECCV (45) 2024: 346-363 - [c3]Taian Guo, Taolin Zhang, Haoqian Wu, Hanjun Li, Ruizhi Qiao, Xing Sun:
Multimodal Label Relevance Ranking via Reinforcement Learning. ECCV (66) 2024: 391-408 - [c2]Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia:
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping. NeurIPS 2024 - [c1]Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia:
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. NeurIPS 2024 - [i8]Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia:
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. CoRR abs/2407.06964 (2024) - [i7]Taian Guo, Taolin Zhang, Haoqian Wu, Hanjun Li, Ruizhi Qiao, Xing Sun:
Multimodal Label Relevance Ranking via Reinforcement Learning. CoRR abs/2407.13221 (2024) - [i6]Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia:
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. CoRR abs/2410.05601 (2024) - [i5]Taolin Zhang, Junwei Pan, Jinpeng Wang, Yaohua Zha, Tao Dai, Bin Chen, Ruisheng Luo, Xiaoxiang Deng, Yuan Wang, Ming Yue, Jie Jiang, Shu-Tao Xia:
Towards Scalable Semantic Representation for Recommendation. CoRR abs/2410.09560 (2024) - [i4]Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia:
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders. CoRR abs/2410.09886 (2024) - [i3]Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia:
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping. CoRR abs/2410.15430 (2024) - 2023
- [i2]Taolin Zhang, Sunan He, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. CoRR abs/2305.10714 (2023) - 2022
- [i1]Taolin Zhang, Chuan Chen, Yaomin Chang, Lin Shu, Zibin Zheng:
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. CoRR abs/2208.13685 (2022)
Coauthor Index
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last updated on 2025-09-13 23:11 CEST by the dblp team
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