Zhichen Zeng

According to our database, Zhichen Zeng authored at least 18 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Allo: A Programming Model for Composable Accelerator Design.

Hongzheng Chen, Niansong Zhang, Shaojie Xiang, Zhichen Zeng, Mengjia Dai, Zhiru Zhang

Proc. ACM Program. Lang., 2024

AdaRC: Mitigating Graph Structure Shifts during Test-Time.

Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

CoRR, 2024

WAPITI: A Watermark for Finetuned Open-Source LLMs.

Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, Hanghang Tong

CoRR, 2024

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration.

Zhiwen Mo, Lei Wang, Jianyu Wei, Zhichen Zeng, Shijie Cao, Lingxiao Ma, Naifeng Jing, Ting Cao, Jilong Xue, Fan Yang, Mao Yang

CoRR, 2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong

CoRR, 2024

Discrete-state Continuous-time Diffusion for Graph Generation.

Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong

CoRR, 2024

EN-TensorCore: Advancing TensorCores Performance through Encoder-Based Methodology.

Qizhe Wu, Yuchen Gui, Zhichen Zeng, Xiaotian Wang, Huawen Liang, Xi Jin

CoRR, 2024

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong

Proceedings of the ACM on Web Conference 2024, 2024

PaCEr: Network Embedding From Positional to Structural.

Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong

Proceedings of the ACM on Web Conference 2024, 2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Mixup on Approximate Gromov-Wasserstein Geodesics.

Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter.

Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class-Imbalanced Graph Learning without Class Rebalancing.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hierarchical Multi-Marginal Optimal Transport for Network Alignment.

Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong

CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.

Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

CoRR, 2023

PARROT: Position-Aware Regularized Optimal Transport for Network Alignment.

Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong

Proceedings of the ACM Web Conference 2023, 2023

Generative Graph Dictionary Learning.

Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong

Proceedings of the International Conference on Machine Learning, 2023