Xing Xie

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 406

Top Venues

Publications

Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. CoRR (2024)
Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. CoRR (2024)
Pengjie Liu, Zhenghao Liu, Xiaoyuan Yi, Liner Yang, Shuo Wang, Yu Gu, Ge Yu, Xing Xie, Shuang-hua Yang
LegalDuet: Learning Effective Representations for Legal Judgment Prediction through a Dual-View Legal Clue Reasoning. CoRR (2024)
Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie
Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang
Exploring Vision-Language Models for Imbalanced Learning. Int. J. Comput. Vis. 132 (1) (2024)
Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
CultureLLM: Incorporating Cultural Differences into Large Language Models. CoRR (2024)
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CDPD (2023)
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. ICLR (2023)
Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41 (1) (2023)
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. IEEE Data Eng. Bull. 46 (1) (2023)
Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, Xing Xie
From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models. CoRR (2023)
Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. ICCV (2023)
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR (2023)
Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, Xing Xie
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer. CoRR (2023)
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI (2023)
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
PASS: Personalized Advertiser-aware Sponsored Search. KDD (2023)
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. CoRR (2023)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW (2023)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
A Survey on Evaluation of Large Language Models. CoRR (2023)
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE (2023)
Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective. NeurIPS (2023)
Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Baining Guo
IRGen: Generative Modeling for Image Retrieval. CoRR (2023)
Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, Xing Xie
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer. EMNLP (2023)
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41 (2) (2023)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD (2023)
Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. ICLR (2023)
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM (2023)
Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. CoRR (2023)
Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. IJCAI (2023)
Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. ICLR (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
Can Transformer and GNN Help Each Other? CoRR (2023)
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Jiayang Cheng, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR (2023)
Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng
Control Risk for Potential Misuse of Artificial Intelligence in Science. CoRR (2023)
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedSampling: A Better Sampling Strategy for Federated Learning. CoRR (2023)
Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie
A Tutorial on Domain Generalization. WSDM (2023)
Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR (2023)
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR (2023)
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu
Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning. CoRR (2023)
Xiting Wang, Liming Jiang, José Hernández-Orallo, Luning Sun, David Stillwell, Fang Luo, Xing Xie
Evaluating General-Purpose AI with Psychometrics. CoRR (2023)
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. ICCV (2023)
Juncheng Wang, Jindong Wang, Xixu Hu, Shujun Wang, Xing Xie
Frustratingly Easy Model Generalization by Dummy Risk Minimization. CoRR (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR (2023)
Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR (2023)
Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR (2023)
Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. KDD (2023)
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
Distillation from Heterogeneous Models for Top-K Recommendation. WWW (2023)
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. KDD (2023)
Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
Domain-Specific Risk Minimization for Domain Generalization. KDD (2023)
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
Out-of-distribution Representation Learning for Time Series Classification. ICLR (2023)
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR (2023)
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR (2023)
Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. EMNLP (2023)
Xiaoyuan Yi, Jing Yao, Xiting Wang, Xing Xie
Unpacking the Ethical Value Alignment in Big Models. CoRR (2023)
Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen
A Causality Inspired Framework for Model Interpretation. KDD (2023)
Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. CoRR (2023)
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. SIGIR (2023)
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xiangyang Ji, Qiang Yang, Xing Xie
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization. CoRR (2023)
Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. CoRR (2023)
Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning. CoRR (2023)
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR (2023)
Xu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie, Enhong Chen
Cooperative Retriever and Ranker in Deep Recommenders. WWW (2023)
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. ACL (1) (2023)
Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. ACL (Findings) (2023)
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
Towards Explainable Collaborative Filtering with Taste Clusters Learning. WWW (2023)
Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. CoRR (2023)
Wang Lu, Xixu Hu, Jindong Wang, Xing Xie
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. CoRR (2023)
Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR (2023)
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. WWW (2023)
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. SIGIR (2023)
Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie
UA-FedRec: Untargeted Attack on Federated News Recommendation. KDD (2023)
Hao Liao, Jiaohao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. CoRR (2023)
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. CoRR (2023)
Jing Yao, Xiaoyuan Yi, Xiting Wang, Yifan Gong, Xing Xie
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values. CoRR (2023)
Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI (2023)
Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. KDD (2023)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. 41 (1) (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR (2023)
Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. ACL (1) (2023)
Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. 5 (12) (2023)
Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong
Two-Stage Neural Contextual Bandits for Personalised News Recommendation. CoRR (2022)
Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR (2022)
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CoRR (2022)
Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. CoRR (2022)
Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation. NAACL-HLT (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. CoRR (2022)
Jun-Rui Wang, Xing Xie, Yu-Chi Chen
A Generic Construction of Designated Verifier Signature from Standard Cryptographic Algorithms. J. Inf. Sci. Eng. 38 (5) (2022)
Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie
FeedRec: News Feed Recommendation with Various User Feedbacks. WWW (2022)
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CIKM (2022)
Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS (2022)
Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. CoRR (2022)
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
Test-Time Training for Graph Neural Networks. CoRR (2022)
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
HousE: Knowledge Graph Embedding with Householder Parameterization. ICML (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xing Xie