Xiangnan He

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 454

Top Venues

CoRR

SIGIR

WWW

IEEE Trans. Knowl. Data Eng.

Publications

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR (2024)
Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
Towards 3D Molecule-Text Interpretation in Language Models. ICLR (2024)
Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model. CoRR (2024)
Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He
LLaRA: Large Language-Recommendation Assistant. SIGIR (2024)
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. CoRR (2024)
Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He
Mitigating Hidden Confounding Effects for Causal Recommendation. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System. CoRR (2024)
Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He
Exact and Efficient Unlearning for Large Language Model-based Recommendation. CoRR (2024)
Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
Proactive Recommendation with Iterative Preference Guidance. WWW (Companion Volume) (2024)
Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang
Causal Incremental Graph Convolution for Recommender System Retraining. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. CoRR (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
DiFashion: Towards Personalized Outfit Generation and Recommendation. CoRR (2024)
Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. 42 (4) (2024)
Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
Diffusion Models for Generative Outfit Recommendation. SIGIR (2024)
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR (2024)
Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
Towards 3D Molecule-Text Interpretation in Language Models. CoRR (2024)
Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
Alleviating Structural Distribution Shift in Graph Anomaly Detection. CoRR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. CoRR (2024)
Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. WWW (2024)
Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) (2024)
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. SIGIR (2024)
Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He
Reinforced Prompt Personalization for Recommendation with Large Language Models. CoRR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR (2024)
Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
β-DPO: Direct Preference Optimization with Dynamic β. CoRR (2024)
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. SIGIR (2024)
Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He
Boosting Few-Shot Learning via Attentive Feature Regularization. CoRR (2024)
Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He
Boosting Few-Shot Learning via Attentive Feature Regularization. AAAI (2024)
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. CoRR (2024)
Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. ACL (1) (2024)
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Text-to-Image Generation for Abstract Concepts. AAAI (2024)
Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang
A3S: A General Active Clustering Method with Pairwise Constraints. CoRR (2024)
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
Large Language Models for Recommendation: Progresses and Future Directions. WWW (Companion Volume) (2024)
Yuan Gao, Jinghan Li, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. CoRR (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) (2024)
Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. 42 (1) (2024)
Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System. WWW (2024)
Shuo Wang, Jinda Lu, Haiyang Xu, Yanbin Hao, Xiangnan He
Feature Mixture on Pre-Trained Model for Few-Shot Learning. IEEE Trans. Image Process. 33 (2024)
Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He
How graph convolutions amplify popularity bias for recommendation? Frontiers Comput. Sci. 18 (5) (2024)
Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. CoRR (2024)
Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
Proactive Recommendation with Iterative Preference Guidance. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. ICLR (2024)
Junfeng Fang, Shuai Zhang, Chang Wu, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang, Xiangnan He
MolTC: Towards Molecular Relational Modeling In Language Models. CoRR (2024)
Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He
Unbiased Knowledge Distillation for Recommendation. WSDM (2023)
Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan
A Content-Driven Micro-Video Recommendation Dataset at Scale. CoRR (2023)
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
Diffusion Recommender Model. SIGIR (2023)
Jiarui Yu, Haoran Li, Yanbin Hao, Bin Zhu, Tong Xu, Xiangnan He
CgT-GAN: CLIP-guided Text GAN for Image Captioning. ACM Multimedia (2023)
Shuo Wang, Huixia Ben, Yanbin Hao, Xiangnan He, Meng Wang
Boosting Hyperspectral Image Classification with Dual Hierarchical Learning. ACM Trans. Multim. Comput. Commun. Appl. 19 (1) (2023)
Yi Tan, Zhaofan Qiu, Yanbin Hao, Ting Yao, Xiangnan He, Tao Mei
Selective Volume Mixup for Video Action Recognition. CoRR (2023)
Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors. CoRR (2023)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. RecSys (2023)
Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
RecAD: Towards A Unified Library for Recommender Attack and Defense. RecSys (2023)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
Understanding Contrastive Learning via Distributionally Robust Optimization. CoRR (2023)
Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng
Adversarial Attack on Large Scale Graph. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He
Interactive active learning for fairness with partial group label. AI Open 4 (2023)
Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. NeurIPS (2023)
Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
Attack Prompt Generation for Red Teaming and Defending Large Language Models. CoRR (2023)
Jiarui Yu, Haoran Li, Yanbin Hao, Bin Zhu, Tong Xu, Xiangnan He
CgT-GAN: CLIP-guided Text GAN for Image Captioning. CoRR (2023)
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. SIGIR (2023)
Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR (2023)
Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR (2023)
Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. 41 (3) (2023)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wang Wenjie, Fuli Feng, Xiangnan He
Large Language Models for Recommendation: Progresses and Future Directions. SIGIR-AP (2023)
Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao
Counterfactual Active Learning for Out-of-Distribution Generalization. ACL (1) (2023)
Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
GIF: A General Graph Unlearning Strategy via Influence Function. CoRR (2023)
Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
Discriminative-Invariant Representation Learning for Unbiased Recommendation. IJCAI (2023)
Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. CoRR (2023)
Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He
Large Language Model Can Interpret Latent Space of Sequential Recommender. CoRR (2023)
Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning. CoRR (2023)
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. CoRR (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR (2023)
Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. CoRR (2023)
Kang Liu, Feng Xue, Xiangnan He, Dan Guo, Richang Hong
Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. CoRR (2023)
Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He
Causal Recommendation: Progresses and Future Directions. SIGIR (2023)
Fangzhou Song, Bin Zhu, Yanbin Hao, Shuo Wang, Xiangnan He
CAR: Consolidation, Augmentation and Regulation for Recipe Retrieval. CoRR (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR (2023)
Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4 (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. WWW (2023)
Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach. NeurIPS (2023)
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
Diffusion Recommender Model. CoRR (2023)
Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
Bundle Recommendation and Generation With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
GIF: A General Graph Unlearning Strategy via Influence Function. WWW (2023)
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie
Time-aware Path Reasoning on Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 41 (2) (2023)
Changyi Xiao, Xiangnan He, Yixin Cao
Knowledge Graph Embedding by Normalizing Flows. AAAI (2023)
Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). ICDE (2023)
Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng
Label Denoising through Cross-Model Agreement. CoRR (2023)
Bin Wu, Xiangnan He, Qi Zhang, Meng Wang, Yangdong Ye
GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Text-to-Image Generation for Abstract Concepts. CoRR (2023)
Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR (2023)
Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua
Generative Recommendation: Towards Next-generation Recommender Paradigm. CoRR (2023)
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
Understanding Contrastive Learning via Distributionally Robust Optimization. NeurIPS (2023)

Xiangnan He.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiangnan He