OpenHI2 - Open source histopathological image platform. - Pargorn Puttapirat; Chen Li 011; Haichuan Zhang 001; Jingyi Deng; Yuxin Dong 003; Jiangbo Shi; Hongyu He; Zeyu Gao 001; Chunbao Wang 002; Xiangrong Zhang (BIBM, 2019)

OpenHI: open platform for histopathological image annotation. - Pargorn Puttapirat; Haichuan Zhang 001; Jingyi Deng; Yuxin Dong 003; Jiangbo Shi; Peiliang Lou; Chunbao Wang 002; Lixia Yao; Xiangrong Zhang; Chen Li 011 (Int. J. Data Min. Bioinform., 2019)

A representation model for biological entities by fusing structured axioms with unstructured texts. - Peiliang Lou; Yuxin Dong 003; Antonio Jimeno-Yepes; Chen Li 011 (Bioinform., 2021)

Computationally Efficient Approximations for Matrix-based Renyi's Entropy. - Tieliang Gong; Yuxin Dong 003; Shujian Yu; Hong Chen 004; Bo Dong 001; Chen Li 011; Qinghua Zheng (CoRR, 2021)

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. - Tieliang Gong; Yuxin Dong 003; Hong Chen 004; Wei Feng 010; Bo Dong 001; Chen Li 011 (AAAI, 2022)

Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. - Tieliang Gong; Yuxin Dong 003; Shujian Yu; Bo Dong 001 (IEEE Trans. Signal Process., 2022)

Robust and Fast Measure of Information via Low-Rank Representation. - Yuxin Dong 003; Tieliang Gong; Shujian Yu; Hong Chen 004; Chen Li 011 (AAAI, 2023)

Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective. - Yuxin Dong 003; Tieliang Gong; Hong Chen 004; Chen Li 011 (IJCAI, 2023)

Dual Attention and Patient Similarity Network for drug recommendation. - Jialun Wu; Yuxin Dong 003; Zeyu Gao 001; Tieliang Gong; Chen Li 011 (Bioinform., 2023)

Optimal Randomized Approximations for Matrix-Based Rényi's Entropy. - Yuxin Dong 003; Tieliang Gong; Shujian Yu; Chen Li 011 (IEEE Trans. Inf. Theory, 2023)

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds. - Yuxin Dong 003; Tieliang Gong; Hong Chen 004; Shujian Yu; Chen Li 011 (ICLR, 2024)

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective. - Yuxin Dong 003; Tieliang Gong; Hong Chen 004; Zhongjiang He; Mengxiang Li; Shuangyong Song; Chen Li 011 (ICML, 2024)

Markov Subsampling Based on Huber Criterion. - Tieliang Gong; Yuxin Dong 003; Hong Chen 004; Bo Dong 001; Chen Li 011 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence. - Yuxin Dong 003; Haoran Guo; Tieliang Gong; Wen Wen 013; Chen Li 011 (ICML, 2025)

Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis. - Wen Wen 013; Tieliang Gong; Yuxin Dong 003; Shujian Yu; Weizhan Zhang (CoRR, 2025)

Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data. - Yuxin Dong 003; Tieliang Gong; Hong Chen 004; Chen Li 011 (IEEE Trans. Neural Networks Learn. Syst., 2025)

How Does Distribution Matching Help Domain Generalization: An Information-Theoretic Analysis. - Yuxin Dong 003; Tieliang Gong; Hong Chen 004; Shuangyong Song; Weizhan Zhang; Chen Li 011 (IEEE Trans. Inf. Theory, 2025)

Towards the generalization of multi-view learning: An information-theoretical analysis. - Wen Wen 013; Tieliang Gong; Yuxin Dong 003; Shujian Yu; Bo Dong 001 (Inf. Fusion, 2026)

Nyström-aware approximations for matrix-based Rényi's entropy. - Tieliang Gong; Wen Wen 013; Yuxin Dong 003; Zeyu Gao 001; Weizhan Zhang (Neural Networks, 2026)

Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning. - Jiusong Ge; Yingkang Zhan; Wenjie Zhao; Di Zhang; Ke Wang; Jiashuai Liu 001; Chunze Yang; Chengzu Li; Jian Zhang 002; Yuxin Dong 003; Ni Zhang; Qidong Liu 008; et al. (CoRR, 2026)