Assistant Professor
AI3 Institute, Fudan University
I am currently an Assistant Professor of Artificial Intelligence Innovation and Incubation (AI³) Institute at Fudan University. Prior to this, I received my Ph.D. from ReThinklab at the Department of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU), under the supervision of Prof. Junchi Yan (严骏驰).
The Lab is named as RethinkLab-IIRG (Interdisciplinary Intelligence Research Group). The research topics include
招募有科研热情、敢为人先的计算机/物理背景的本科生/硕士生/博士生/科研助理,欢迎简历投递(请备注申请研究方向)!

[Efficient LLM/Next-Generation NNs] Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training. SIGKDD 2025 (CCF-A) Research Track
Hao Xiong*, Yebin Yang*, Huaijin Wu, Xiaoqiu Zhong, Yehui Tang, Zhuo Xia, Xiaoxing Wang, Junchi Yan.
[paper] [slides]
[Quantum Computing] Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning. CVPR 2024 (CCF-A)
Hao Xiong*, Yehui Tang*, Xinyu Ye*, Junchi Yan.
[code] [paper]
[Tensor/Quantum-inspired Network Embedding] Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. ICLR 2024 (Tsinghua-A)
Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan.
[code & data] [paper]
[DL-Based Neural Solver] UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP. ICLR 2025 (Tsinghua-A)
Wenzheng Pan*, Hao Xiong*, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan.
[paper] [code]
[Interpretability] Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. TKDE 2022 (CCF-A)
Hao Xiong, Junchi Yan, Zengfeng Huang.
[code & data] [paper] [a brief intro. (知乎)]
[Multi-Graph Alignment] Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. SIGKDD 2021 (CCF-A)
Hao Xiong, Junchi Yan, Li Pan.
[poster] [slides] [video] [paper] (sorry for missing code, the machine was formatted by accident without being backed up)