Hao Xiong
熊昊

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Assistant Professor
AI3 Institute, Fudan University

taxuexh AT sjtu.edu.cn

I will be joining the Artificial Intelligence Innovation and Incubation (AI³) Institute at Fudan University as an Assistant Professor in Fall 2025.

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.

rethinklab rethinklab rethinklab

Publications

Quantum(-Inspired)/Tensor-Network-Based Machine Learning

[Efficient LLM/Next-Generation NNs] In-place Transparent High-order Product for Transformers. SIGKDD 2025 (CCF-A) Research Track
Hao Xiong*, Yebin Yang*, Huaijin Wu, Xiaoqiu Zhong, Yehui Tang, Zhuo Xia, Xiaoxing Wang, Junchi Yan.

[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.

[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]

Network Embedding

[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]

Neural Combinatorial Optimzation

[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 Graph Embedding & System

[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]

Education

Academic Activities

I served as a reviewer of conferences including NeurIPS in 2022-2023, SIGKDD in 2022-2024, ICML in 2022, AAAI in 2021-2022, 2024, SDM in 2022, 2024, ICLR in 2024, and journals Pattern Recognition in 2023, and Intelligent Computing in 2023.

Working Experience

Awards