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ORCIDYuliang Zhan
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2020 – today
- 2026
[c4]Yu-Liang Zhan, Xinyu Tang, Han Wan
, Jian Li, Jirong Wen, Hao Sun:
L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention. AAAI 2026: 12358-12366- [c3]Xinyu Tang, Yuliang Zhan, Zhixun Li, Xin Zhao, Zhenduo Zhang, Zujie Wen, Zhiqiang Zhang, Jun Zhou:
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards. ACL (1) 2026: 2928-2954 - [i6]Yuliang Zhan, Jian Li, Wenbing Huang, Yang Liu, Hao Sun:
CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions. CoRR abs/2602.01844 (2026) - [i5]Yuliang Zhan, Xinyu Tang, Jian Li, Dandan Zheng, Weilong Chai, Jingdong Chen, Jun Zhou, Ge Wu, Wenyue Tang, Hao Sun:
GraphPO: Graph-based Policy Optimization for Reasoning Models. CoRR abs/2606.18954 (2026) - 2025
- [c2]Jian Li, Han Wan, Ning Lin, Yu-Liang Zhan, Ruizhi Chengze, Haining Wang, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Hao Sun:
SlotPi: Physics-informed Object-centric Reasoning Models. KDD (2) 2025: 1376-1387 - [i4]Jian Li, Han Wan, Ning Lin, Yu-Liang Zhan, Ruizhi Chengze, Haining Wang, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Hao Sun:
SlotPi: Physics-informed Object-centric Reasoning Models. CoRR abs/2506.10778 (2025) - [i3]Yuliang Zhan, Xinyu Tang, Han Wan, Jian Li, Ji-Rong Wen, Hao Sun:
L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention. CoRR abs/2511.17910 (2025) - [i2]Xinyu Tang, Yuliang Zhan, Zhixun Li, Wayne Xin Zhao, Zhenduo Zhang, Zujie Wen, Zhiqiang Zhang, Jun Zhou:
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards. CoRR abs/2512.21625 (2025) - 2024
- [c1]Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao:
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation. NeurIPS 2024 - [i1]Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao:
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation. CoRR abs/2411.06448 (2024) - 2022
- [j1]Yuliang Zhan, Ji Zhou, Jiayi Zhang:
Attention-based 3DTCN-LSTM short-term network traffic prediction model considering multi-base station spatiotemporal coupling. Int. J. Web Eng. Technol. 17(4): 413-435 (2022)
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