Hao Xiong
熊昊
Assistant Professor
AI3 Institute, Fudan University
WeChat larosa4810
Room 301, Computer Building,
No.825 Zhangheng Road, Shanghai
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).
My research interests include
I am actively recruiting self-motivated Master’s and Ph.D. students, as well as research assistants, to join us in exploring the exciting topics mentioned above. Your resume is highly welcome! 招募有自驱力的计算机/物理/数学背景的硕士和博士生以及科研助理，研究方向以上述方向为主，欢迎简历投递！
My google scholar page is here.
Co-authors
Yehui Tang (SJTU)
Xinyu Ye (SJTU)
Mabiao Long (SJTU)
Xiaoqiu Zhong (SJTU, Shanghai Innovation Institute)
Yebin Yang (SJTU)
Ph.D Students
Jianqiao Zeng (2026-, FDU, Shanghai Innovation Institute)
Zhikai Chen (2026-, FDU)
Undergraduates
Meiling Jiang (2025-, FDU)
Fanxi Weng (2025-, FDU)
Haoxiang Wu (2025-, FDU)
Wenhan Qu (2025-, FDU)
Jingyi Cao (2025-, FDU)
[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]
[Tensor Network] Tensor Network: from the Perspective of AI4Science and Science4AI. IJCAI 2025 (CCF-A) Survey Track
Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi.
[paper]
[Quantum Neural Networks] On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation. ICLR 2025 (Tsinghua-A)
Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan.
[paper]
[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]
[AI4Quantum] Q-TAPE: A Task-Agnostic Pre-Trained Approach for Quantum Properties Estimation. ICLR 2024 (Tsinghua-A) Spotlight (5%)
Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan.
[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]
[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)
[Cross-Graph Alignment] BTWalk: Branching Tree Random Walk for Multi-order Structured Network Embedding. TKDE 2020 (CCF-A)
Hao Xiong, 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]
[ML-Enhanced Heuristic] From Graph Embedding to LKH: Bridging Learning and Heuristics for a Streamlined General TSP Solver.
Hao Xiong, Wenzheng Pan, Jianhao Huang, Zhuo Xia, Junchi Yan.
[paper]
[Knowledge Embedding] DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR 2020 (CCF-A)
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis.
[code] [paper]