Xing Xie

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 444

Top Venues

Publications

Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. ICLR (2024)
Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. CoRR (2024)
Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks. ICLR (2024)
Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models. CoRR (2024)
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu
Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization. CoRR (2024)
Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
Learning with Noisy Foundation Models. CoRR (2024)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) (2024)
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. ICLR (2024)
Pablo Biedma, Xiaoyuan Yi, Linus Huang, Maosong Sun, Xing Xie
Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches. CoRR (2024)
Yidong Wang, Zhuohao Yu, Wenjin Yao, 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. ICLR (2024)
Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. WWW (Companion Volume) (2024)
Lilin Tu, Jiayi Li, Xin Huang, Jianya Gong, Xing Xie, Leiguang Wang
: A Spectral-Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing. 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)
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. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW (2024)
Wang Lu, Jindong Wang, Yidong Wang, Xing Xie
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. SDM (2024)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. CoRR (2024)
Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD (2024)
Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value. NAACL-HLT (2024)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, 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. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Shaohua Wang, Xing Xie, Yong Li, Danhuai Guo, Zhi Cai, Yu Liu, Yang Yue, Xiao Pan, Feng Lu, Huayi Wu, Zhipeng Gui, Zhiming Ding, Bolong Zheng, Fuzheng Zhang, Tao Qin, Jingyuan Wang, Chuang Tao, Zhengchao Chen, Hao Lu, Jiayi Li, Hongyang Chen, Peng Yue, Wenhao Yu, Yao Yao, Leilei Sun, Yong Zhang, Longbiao Chen, Xiaoping Du, Xiang Li, Xueying Zhang, Kun Qin, Zhaoya Gong, Weihua Dong, Xiaofeng Meng
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence. 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)
Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing Agents. CoRR (2024)
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. ICLR (2024)
Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie, Hai Jin
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. CoRR (2024)
Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) (2024)
Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. ACL (1) (2024)
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models. CoRR (2024)
Xukun Liu, Zhiyuan Peng, Xiaoyuan Yi, Xing Xie, Lirong Xiang, Yuchen Liu, Dongkuan Xu
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph. CoRR (2024)
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR (2024)
Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. CoRR (2024)
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. ICLR (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)
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs. CoRR (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)
Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. AAAI (2024)
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR (2024)
Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, Xing Xie
Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector. CoRR (2024)
Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) (2024)
Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
CultureLLM: Incorporating Cultural Differences into Large Language Models. CoRR (2024)
Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
Aligning Language Models for Versatile Text-based Item Retrieval. CoRR (2024)
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. 47 (1) (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xing Xie