Xing Xie

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 65

Top Topics

Collaborative Filtering

Graph Embedding

Document Retrieval

Top Venues

Publications

Jing Yao, Xiaoyuan Yi, Xing Xie
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses. CoRR (2024)
Xin Huang, Wenrui Wang, Jiayi Li, Leiguang Wang, Xing Xie
A Stepwise Refining Image-Level Weakly Supervised Semantic Segmentation Method for Detecting Exposed Surface for Buildings (ESB) From Very High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
A General Framework for Learning from Weak Supervision. CoRR (2024)
Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
Aligning Large Language Models for Controllable Recommendations. ACL (1) (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang
On Catastrophic Inheritance of Large Foundation Models. CoRR (2024)
Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
Aligning Large Language Models for Controllable Recommendations. CoRR (2024)
Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW (2024)
Zhiquan Tan, Lai Wei, Jindong Wang, Xing Xie, Weiran Huang
Can I understand what I create? Self-Knowledge Evaluation of Large Language Models. CoRR (2024)
Kaijie Zhu, Jindong Wang, Xixu Hu, Xing Xie, Ge Yang
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. CoRR (2023)
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR (2023)
Kexin Fei, Chao Wang, Jiaxu Zhang, Yuanzhong Liu, Xing Xie, Zhigang Tu
Flow-pose Net: an effective two-stream network for fall detection. Vis. Comput. 39 (6) (2023)
Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS (2023)
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
Model-enhanced Vector Index. NeurIPS (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR (2023)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM (2023)
Yuhang Wang, Yanxu Zhu, Chao Kong, Shuyu Wei, Xiaoyuan Yi, Xing Xie, Jitao Sang
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models. CoRR (2023)
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. CoRR (2023)
Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
Model-enhanced Vector Index. CoRR (2023)
Xing Xie, Jun Cai, Hai Fang, Beibei Wang, Huan He, Yuanzhi Zhou, Yang Xiao, Toshimasa Yamanaka, Xinming Li
Affective Impressions Recognition under Different Colored Lights Based on Physiological Signals and Subjective Evaluation Method. Sensors 23 (11) (2023)
Xing Xie, Haowen Wei, Yongjie Yang
Real-Time LiDAR Point-Cloud Moving Object Segmentation for Autonomous Driving. Sensors 23 (1) (2023)
Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie
Meta Semantic Template for Evaluation of Large Language Models. CoRR (2023)
Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR (2023)
Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie
PromptBench: A Unified Library for Evaluation of Large Language Models. CoRR (2023)
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
DyVal: Graph-informed Dynamic Evaluation of Large Language Models. CoRR (2023)
Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR (2023)
Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. NeurIPS (2023)
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning. CoRR (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. CoRR (2023)
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie
Bayesian Active Causal Discovery with Multi-Fidelity Experiments. NeurIPS (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. CoRR (2023)
Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. CoRR (2023)
Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents. CoRR (2023)
Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM (2023)
Xin Li, Xiaojie Zhang, Peng Jia, Rui Mao, Ming-Yang Zhou, Xing Xie, Hao Liao
A Joint Learning Framework for Restaurant Survival Prediction and Explanation. EMNLP (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS (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. CoRR (2022)
Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen
Forest-based Deep Recommender. SIGIR (2022)
Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie
FIXED: Frustratingly Easy Domain Generalization with Mixup. CoRR (2022)
Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
Out-of-Distribution Representation Learning for Time Series Classification. CoRR (2022)
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR (2022)
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR (2022)
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR (2022)
Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
Cooperative Retriever and Ranker in Deep Recommenders. CoRR (2022)
Hao Chen, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Marios Savvides, Bhiksha Raj
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning. CoRR (2022)
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD (2022)
Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
A Neural Corpus Indexer for Document Retrieval. CoRR (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. CoRR (2022)
Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. CIKM (2022)
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie
Localized Graph Collaborative Filtering. CoRR (2021)
Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. EMNLP (Findings) (2021)
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. CoRR (2021)
Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. CoRR (2021)
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
Gophormer: Ego-Graph Transformer for Node Classification. CoRR (2021)
Yuanzhong Liu, Zhigang Tu, Liyu Lin, Xing Xie, Qianqing Qin
Real-Time Spatio-Temporal Action Localization via Learning Motion Representation. ACCV Workshops (2020)
Hao Liao, Qi-xin Liu, Kai Shu, Xing Xie
Incorporating User-Comment Graph for Fake News Detection. CoRR (2020)
Wen Xu, Chun Huang, Xing Xie
Analysis and Application of Taylor-Kalman Filters Under a Distorted Grid Condition. IEEE Access 8 (2020)
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan
Session-Based Recommendation with Graph Neural Networks. AAAI (2019)
Sixing Wu, Dawei Zhang, Ying Li, Xing Xie, Zhonghai Wu
HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation. COLING (2018)
Xing Xie, Xiaoying Tang
The Application of Augmented Reality Technology in Digital Display for Intangible Cultural Heritage: The Case of Cantonese Furniture. HCI (2) (2018)
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan
Session-based Recommendation with Graph Neural Networks. CoRR (2018)
Lijun Yu, Dawei Zhang, Xiangqun Chen, Xing Xie
MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage between Teams in MOBA Games. CoRR (2018)
Ming Huang, Jiajun Lin, Yong Peng, Xing Xie
Design a batched information retrieval system based on a concept-lattice-like structure. Knowl. Based Syst. 150 (2018)
Yilan Cui, Xing Xie, Yi Liu
Social media and mobility landscape: uncovering spatial patterns of urban human mobility with multi source data. CoRR (2018)
Chun Huang, Xing Xie, Hui Jiang
Dynamic Phasor Estimation Through DSTKF Under Transient Conditions. IEEE Trans. Instrum. Meas. 66 (11) (2017)
Baolin Sun, Wenxiang Wang, Xing Xie, Qianqing Qin
Satellite mission scheduling based on genetic algorithm. Kybernetes 39 (8) (2010)