Yang Liu

Yang Liu 刘洋

Hi, I am Yang Liu (刘洋). I am a Ph.D. student at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, specializing in Graph Mining and Optimization, with a focus on Large Language Models (LLMs). Before that, I got my Bachelor's degree from Xi'an Jiaotong University and have conducted research visits at the University of Alberta, Michigan State University, and Peking University.

Now, I am a Qingyun intern at Hunyuan from Tencent, working on LLM post-train at Beijing, China!

Looking for research collaborators on meaningful projects and feel free to contact with me if you are interested! Also, I'm in job market and actively seeking industry positions.

Email / Github / Datawhale / Linkedin

这是我小时候照片。

News in the Past One Year

[2025.06] 🎉 One paper is accepted by IEEE Transactions on Emerging Topics in Computational Intelligence!
[2025.05] 🎉 One paper is accepted by KDD 2025!
[2025.05] 🎉 Begin my intership at Hunyuan [青云计划], Tencent!
[2025.05] 🎉 One paper is accepted by ICML 2025!
[2025.04] 🎉 One paper is accepted by IJCAI 2025!
[2025.02] 🎉 Happy New Year!
[2024.09] 🎉 One paper is accepted by ICDM 2024!

Intern Experience

腾讯混元[青云计划]，后训练组，2025. 模型长记忆，复杂指令遵循。
宇谷科技，2024. 大模型，网络运筹。
百度研究院，认知计算实验室(CCL)，2022. 推理，知识图谱

Education

Ph.D. student in the Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS), 2020 - 2026 (expected).
Bachelor in Mathematics and Applied Mathematics (Honors Program), Xi'an Jiaotong University, 2016 - 2020.
Summer Visiting Student, Peking University, 2020.7&2024.7.
Exchange Student, Michigan State University, 2019.
Visiting Student, University of Alberta, 2018.

Selected Publications

	FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu KDD 2025 Project page / Link
	Bridging the Gap Between LLMs and Human Intentions: Progresses and Challenges in Instruction Understanding, Intention Reasoning, and Reliable Generation. Zongyu Chang, Feihong Lu, Ziqin Zhu, Qian Li, Cheng Ji, Zhuo Chen, Yang Liu, Ruifeng Xu, Yangqiu Song, Shangguang Wang, and Jianxin Li LLM Survey, Arxiv 2025 Project page / Link
	Equivariant Hypergraph Diffusion for Crystal Structure Prediction. Yang Liu, Chuan Zhou, Shuai Zhang, Peng Zhang, Xixun Lin, Shirui Pan Arxiv 2025 Project page / Link
	Sharpness-aware Zeroth-order Optimization for Graph Transformers Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan IJCAI 2025 Project page / Link
	Contrastive Modality-Disentangled Learning for Multimodal Recommendation Xixun Lin, Rui Liu, Yanan Cao, Lixun Zou, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu TOIS 2025 Project page / Link
	RHGNN: Imposing Relational Inductive Bias for Heterogeneous Graph Neural Network Shichao Zhu, Shuai Zhang, Yang Liu, Chuan Zhou, Shirui Pan, Zhao Li, Hongyang Chen JMLC 2025 Project page / Link
	Node-Centric Meta Structure Search on Heterogeneous Graphs Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Chuan Zhou, Peng Zhang, Yong Ding, Qingyun Liu, Hongyang Chen ICASSP 2025 Project page / Link
	Neural Jump-Diffusion Temp Link Point Processes Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Zhiming Ma ICML 2024 Project page / Link
	CL4CO: A Curriculum Training Framework for Graph-based Neural Combinatorial Optimization. Yang Liu, Chuan Zhou, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu ICDM 2024 Project page / Link
	Secure Causal Reasoning on Coarsened Graph for Privacy-Aware Social Web Services Yang Liu, Chuan Zhou, Huang Fang, Peng Zhang, Yilin Pang, Qingzhao Zhang, Zhao Li, Hongyang Chen ICWS 2024 Project page / Link
	Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services Yang Liu, Zhao Li, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu ICWS 2024 Project page / Link
	Curriculum Learning for Knowledge Graph Embedding Yang Liu, Chuan Zhou, Peng Zhang, Yanan Cao, Yongchao Liu, Zhao Li, Hongyang Chen Arxiv 2024 Project page / Link
	MQuinE: a cure for “Z-paradox” in knowledge graph embedding Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun EMNLP 2024 Project page / Link
	Combinatorial Optimization with Automated Graph Neural Networks Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen Arxiv 2024 Project page / Link
	Decision-focused Graph Neural Networks for Combinatorial Optimization Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen Arxiv 2024 Project page / Link
	Meta Structure Search for Link Weight Prediction in Heterogeneous Graph Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Peng Zhang, Chuan Zhou, Qingyun Liu, Hongyang Chen ICASSP 2024 Project page / Link
	Linked patterns of symptoms and cognition with functional brain controllability in major depressive disorder. Qian Li, Youjin Zhao, Yongbo Hu, Yang Liu, Yaxuan Wang, Qian Zhang, Fenghua Long, John A. Sweeney, Weihong Kuang, Fei Li, Qiyong Gong. eBioMedicine 2024 Project page / Link
	Unsupervised Pre-trained Social Networks for E-commerce Community Detection Ting Li, Chunqi Wu, Yang Liu, Zhao Li, Chuan Zhou, Hongyang Chen, Chenhao Qiu, Yongchao Liu, Peng Du, and Chuntao Hong HPCC 2024 Project page / Link
	Decision-focused Graph Neural Networks for Graph Learning and Optimization Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen ICDM 2023 Project page / Link
	Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, and Hongyang Chen ICDM 2023 Project page / Link
	MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structublue logic rules. Huang Fang, Yang Liu, Yunfeng Cai, Mingming Sun WWW 2023 Project page / Link