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Wanxing Chang
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- 2026
[c4]Ruifeng Yuan, Wanxing Chang, Weiwei Cao, Bowen Shi, Zhongyu Wei, Ling Zhang, Jianpeng Zhang:
CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation. ACL (1) 2026: 44045-44058
[i7]Zilin Lu, Ruifeng Yuan, Weiwei Cao, Wanxing Chang, Zhongyu Wei, Sinuo Wang, Yong Xia, Ling Zhang, Jianpeng Zhang:
Rethinking the Efficiency and Effectiveness of Reinforcement Learning for Radiology Report Generation. CoRR abs/2603.04022 (2026)
[i6]Ruifeng Yuan, Wanxing Chang, Weiwei Cao, Bowen Shi, Zhongyu Wei, Ling Zhang, Jianpeng Zhang:
CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation. CoRR abs/2604.24001 (2026)- 2025
[c3]Zhongwei Qiu, Hanqing Chao, Tiancheng Lin, Wanxing Chang, Zijiang Yang, Wenpei Jiao, Yixuan Shen, Yunshuo Zhang, Yelin Yang, Wenbin Liu, Hui Jiang, Yun Bian, Ke Yan, Dakai Jin, Le Lu:
Bridging Local Inductive Bias and Long-Range Dependencies With Pixel-Mamba for End-To-End Whole Slide Image Analysis. ICCV 2025: 22738-22747
[i5]Junshu Sun, Wanxing Chang, Chenxue Yang, Qingming Huang, Shuhui Wang:
Relieving the Over-Aggregating Effect in Graph Transformers. CoRR abs/2510.21267 (2025)- 2024
[i4]Zhongwei Qiu, Hanqing Chao, Tiancheng Lin, Wanxing Chang, Zijiang Yang, Wenpei Jiao, Yixuan Shen, Yunshuo Zhang, Yelin Yang, Wenbin Liu, Hui Jiang, Yun Bian, Ke Yan, Dakai Jin, Le Lu:
From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba. CoRR abs/2412.16711 (2024)
[i3]Zijiang Yang, Zhongwei Qiu, Tiancheng Lin, Hanqing Chao, Wanxing Chang, Yelin Yang, Yunshuo Zhang, Wenpei Jiao, Yixuan Shen, Wenbin Liu, Dongmei Fu, Dakai Jin, Ke Yan, Le Lu, Hui Jiang, Yun Bian:
From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer. CoRR abs/2412.16715 (2024)- 2023
[c2]Wanxing Chang, Ye Shi, Jingya Wang:
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels. NeurIPS 2023
[i2]Wanxing Chang, Ye Shi, Jingya Wang:
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels. CoRR abs/2312.06221 (2023)- 2022
[c1]Wanxing Chang, Ye Shi, Hoang Tuan, Jingya Wang:
Unified Optimal Transport Framework for Universal Domain Adaptation. NeurIPS 2022
[i1]Wanxing Chang, Ye Shi, Hoang Duong Tuan, Jingya Wang:
Unified Optimal Transport Framework for Universal Domain Adaptation. CoRR abs/2210.17067 (2022)
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