Exploring Social Network Information for Solving Cold Start in Product Recommendation. - Chaozhuo Li; Fang Wang 019; Yang Yang 002; Zhoujun Li 001; Xiaoming Zhang 001 (WISE (2), 2015)

Detecting Context Dependent Messages in a Conversational Environment. - Chaozhuo Li; Yu Wu 012; Wei Wu 014; Chen Xing; Zhoujun Li 001; Ming Zhou 001 (COLING, 2016)

From Properties to Links: Deep Network Embedding on Incomplete Graphs. - Dejian Yang; Senzhang Wang; Chaozhuo Li; Xiaoming Zhang 001; Zhoujun Li 001 (CIKM, 2017)

Semi-Supervised Network Embedding. - Chaozhuo Li; Zhoujun Li 001; Senzhang Wang; Yang Yang 002; Xiaoming Zhang 001; Jianshe Zhou (DASFAA (1), 2017)

PPNE: Property Preserving Network Embedding. - Chaozhuo Li; Senzhang Wang; Dejian Yang; Zhoujun Li 001; Yang Yang 002; Xiaoming Zhang 001; Jianshe Zhou (DASFAA (1), 2017)

DTRP: A Flexible Deep Framework for Travel Route Planning. - Jie Xu 015; Chaozhuo Li; Senzhang Wang; Feiran Huang; Zhoujun Li 001; Yueying He; Zhonghua Zhao (WISE (1), 2017)

Distribution Distance Minimization for Unsupervised User Identity Linkage. - Chaozhuo Li; Senzhang Wang; Philip S. Yu; Lei Zheng 001; Xiaoming Zhang 001; Zhoujun Li 001; Yanbo Liang (CIKM, 2018)

Optimizing Generalized Linear Models with Billions of Variables. - Yanbo Liang; Yongyang Yu; MingJie Tang; Chaozhuo Li; Weiqing Yang; Weichen Xu; Ruifeng Zheng (CIKM, 2018)

SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. - Chaozhuo Li; Senzhang Wang; Lifang He 001; Philip S. Yu; Yanbo Liang; Zhoujun Li 001 (ICDM, 2018)

Multimodal Network Embedding via Attention based Multi-view Variational Autoencoder. - Feiran Huang; Xiaoming Zhang 001; Chaozhuo Li; Zhoujun Li 001; Yueying He; Zhonghua Zhao (ICMR, 2018)

Adversarial Learning for Weakly-Supervised Social Network Alignment. - Chaozhuo Li; Senzhang Wang; Yukun Wang; Philip S. Yu; Yanbo Liang; Yun Liu 017; Zhoujun Li 001 (AAAI, 2019)

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. - Chaozhuo Li; Senzhang Wang; Hao Wang 068; Yanbo Liang; Philip S. Yu; Zhoujun Li 001; Wei Wang 011 (CIKM, 2019)

Multi-Hot Compact Network Embedding. - Chaozhuo Li; Lei Zheng 001; Senzhang Wang; Feiran Huang; Philip S. Yu; Zhoujun Li 001 (CIKM, 2019)

MARS: Memory Attention-Aware Recommender System. - Lei Zheng 001; Chun-Ta Lu; Lifang He 001; Sihong Xie; He Huang 008; Chaozhuo Li; Vahid Noroozi; Bowen Dong; Philip S. Yu (DSAA, 2019)

Learning with Noisy Labels for Sentence-level Sentiment Classification. - Hao Wang 068; Bing Liu 001; Chaozhuo Li; Yan Yang 001; Tianrui Li 001 (EMNLP/IJCNLP (1), 2019)

Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. - Lei Zheng 001; Chaozhuo Li; Chun-Ta Lu; Jiawei Zhang 001; Philip S. Yu (SIGIR, 2019)

Sentiment analysis of social images via hierarchical deep fusion of content and links. - Jie Xu 015; Feiran Huang; Xiaoming Zhang 001; Senzhang Wang; Chaozhuo Li; Zhoujun Li 001; Yueying He (Appl. Soft Comput., 2019)

Multi-Hot Compact Network Embedding. - Chaozhuo Li; Senzhang Wang; Philip S. Yu; Zhoujun Li 001 (CoRR, 2019)

Network embedding by fusing multimodal contents and links. - Feiran Huang; Xiaoming Zhang 001; Jie Xu 015; Chaozhuo Li; Zhoujun Li 001 (Knowl. Based Syst., 2019)

Adversarial learning for multi-view network embedding on incomplete graphs. - Chaozhuo Li; Senzhang Wang; Dejian Yang; Philip S. Yu; Yanbo Liang; Zhoujun Li 001 (Knowl. Based Syst., 2019)

Visual-textual sentiment classification with bi-directional multi-level attention networks. - Jie Xu 015; Feiran Huang; Xiaoming Zhang 001; Senzhang Wang; Chaozhuo Li; Zhoujun Li 001; Yueying He (Knowl. Based Syst., 2019)

Mixture distribution modeling for scalable graph-based semi-supervised learning. - Zhi Li 045; Chaozhuo Li; Liqun Yang; Philip S. Yu; Zhoujun Li 001 (Knowl. Based Syst., 2020)

Hubness-aware User Identity Linkage. - Chaozhuo Li; Senzhang Wang; Feiran Huang; Jie Xu 015; Philip S. Yu (CIKM, 2021)

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. - Shuxian Bi; Chaozhuo Li; Xiao Han; Zheng Liu 011; Xing Xie 001; Haizhen Huang; Zengxuan Wen (EMNLP (Findings), 2021)

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Defu Lian; Sanjay Agrawal 001; Amit Singh; Guangzhong Sun; Xing Xie 001 (NeurIPS, 2021)

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. - Chaozhuo Li; Bochen Pang; Yuming Liu; Hao Sun 015; Zheng Liu 011; Xing Xie 001; Tianqi Yang; Yanling Cui; Liangjie Zhang; Qi Zhang 066 (SIGIR, 2021)

GraphFormers: GNN-nested Language Models for Linked Text Representation. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Guangzhong Sun; Xing Xie 001 (CoRR, 2021)

Localized Graph Collaborative Filtering. - Yiqi Wang 001; Chaozhuo Li; Mingzheng Li; Wei Jin 009; Yuming Liu; Hao Sun 015; Xing Xie 001 (CoRR, 2021)

Gophormer: Ego-Graph Transformer for Node Classification. - Jianan Zhao 002; Chaozhuo Li; Qianlong Wen; Yiqi Wang 001; Yuming Liu; Hao Sun 015; Xing Xie 001; Yanfang Ye 001 (CoRR, 2021)

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. - Chaozhuo Li; Senzhang Wang; Zheng Liu 011; Xing Xie 001; Lei Chen 002; Philip S. Yu (CoRR, 2021)

Dual self-attention with co-attention networks for visual question answering. - Yun Liu 017; Xiaoming Zhang 001; Qianyun Zhang 001; Chaozhuo Li; Feiran Huang; Xianghong Tang; Zhoujun Li 001 (Pattern Recognit., 2021)

Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations. - Jie Xu 015; Zhoujun Li 001; Feiran Huang; Chaozhuo Li; Philip S. Yu (IEEE Trans. Ind. Informatics, 2021)

Deep Attentive Multimodal Network Representation Learning for Social Media Images. - Feiran Huang; Chaozhuo Li; Boyu Gao 003; Yun Liu 017; Sattam Alotaibi; Hao Chen 062 (ACM Trans. Internet Techn., 2021)

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. - Jiayan Guo; Peiyan Zhang; Chaozhuo Li; Xing Xie 001; Yan Zhang; Sunghun Kim 001 (CIKM, 2022)

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. - Zhoujin Tian; Chaozhuo Li; Shuo Ren; Zhiqiang Zuo 004; Zengxuan Wen; Xinyue Hu 003; Xiao Han; Haizhen Huang; Denvy Deng; Qi Zhang 066; Xing Xie 001 (EMNLP, 2022)

Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN. - Zhen Wu 001; Jingya Zhou; Ling Liu 001; Chaozhuo Li; Fei Gu 001 (ICDE, 2022)

Going Deeper into Permutation-Sensitive Graph Neural Networks. - Zhongyu Huang; Yingheng Wang; Chaozhuo Li; Huiguang He (ICML, 2022)

HousE: Knowledge Graph Embedding with Householder Parameterization. - Rui Li 086; Jianan Zhao 002; Chaozhuo Li; Di He 001; Yiqi Wang 001; Yuming Liu; Hao Sun 015; Senzhang Wang; Weiwei Deng; Yanming Shen; Xing Xie 001; Qi Zhang 066 (ICML, 2022)

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. - Bochen Pang; Chaozhuo Li; Yuming Liu; Jianxun Lian; Jianan Zhao 002; Hao Sun 015; Weiwei Deng; Xing Xie 001; Qi Zhang 066 (KDD, 2022)

Reinforcement Subgraph Reasoning for Fake News Detection. - Ruichao Yang; Xiting Wang; Yiqiao Jin; Chaozhuo Li; Jianxun Lian; Xing Xie 001 (KDD, 2022)

Localized Graph Collaborative Filtering. - Yiqi Wang 001; Chaozhuo Li; Mingzheng Li; Wei Jin 009; Yuming Liu; Hao Sun 015; Xing Xie 001; Jiliang Tang (SDM, 2022)

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. - Xinyan Fan; Jianxun Lian; Wayne Xin Zhao; Zheng Liu 011; Chaozhuo Li; Xing Xie 001 (SIGIR, 2022)

Geometric Disentangled Collaborative Filtering. - Yiding Zhang; Chaozhuo Li; Xing Xie 001; Xiao Wang 017; Chuan Shi 001; Yuming Liu; Hao Sun 015; Liangjie Zhang; Weiwei Deng; Qi Zhang 066 (SIGIR, 2022)

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. - Shitao Xiao; Zheng Liu 011; Weihao Han; Jianjin Zhang; Yingxia Shao; Defu Lian; Chaozhuo Li; Hao Sun 015; Denvy Deng; Liangjie Zhang; Qi Zhang 066; Xing Xie 001 (WWW, 2022)

Geometric Interaction Augmented Graph Collaborative Filtering. - Yiding Zhang; Chaozhuo Li; Senzhang Wang; Jianxun Lian; Xing Xie 001 (CoRR, 2022)

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. - Qihua Feng; Peiya Li; Zhixun Lu; Chaozhuo Li; Zefang Wang; Zhiquan Liu; Chunhui Duan; Feiran Huang (CoRR, 2022)

Test-Time Training for Graph Neural Networks. - Yiqi Wang 001; Chaozhuo Li; Wei Jin 009; Rui Li 086; Jianan Zhao 002; Jiliang Tang; Xing Xie 001 (CoRR, 2022)

Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks. - Jie Xu 015; Zhoujun Li 001; Feiran Huang; Chaozhuo Li; Philip S. Yu (IEEE Trans. Cybern., 2022)

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. - Rui Li 086; Xu Chen 017; Chaozhuo Li; Yanming Shen; Jianan Zhao 002; Yujing Wang; Weihao Han; Hao Sun 015; Weiwei Deng; Qi Zhang 066; Xing Xie 001 (ACL (1), 2023)

Clean-label Poisoning Attack against Fake News Detection Models. - Jiayi Liang; Xi Zhang 008; Yuming Shang; Sanchuan Guo; Chaozhuo Li (IEEE Big Data, 2023)

Geometry Interaction Augmented Graph Collaborative Filtering. - Jie Xu 015; Chaozhuo Li (CIKM, 2023)

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (CIKM, 2023)

Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. - Junhan Yang; Zheng Liu 011; Chaozhuo Li; Guangzhong Sun; Xing Xie 001 (EMNLP, 2023)

Learning on Large-scale Text-attributed Graphs via Variational Inference. - Jianan Zhao 002; Meng Qu; Chaozhuo Li; Hao Yan 004; Qian Liu; Rui Li 086; Xing Xie 001; Jian Tang 005 (ICLR, 2023)

Improving Vision Transformers with Nested Multi-head Attentions. - Jiquan Peng; Chaozhuo Li; Yi Zhao; Yuting Lin; Xiaohan Fang; Jibing Gong (ICME, 2023)

PASS: Personalized Advertiser-aware Sponsored Search. - Zhoujin Tian; Chaozhuo Li; Zhiqiang Zuo 004; Zengxuan Wen; Lichao Sun 001; Xinyue Hu 003; Wen Zhang; Haizhen Huang; Senzhang Wang; Weiwei Deng; Xing Xie 001; Qi Zhang 066 (KDD, 2023)

V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. - Senzhang Wang; Jun Yin 005; Chaozhuo Li; Xing Xie 001; Jianxin Wang 001 (NeurIPS, 2023)

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. - Hao Yan 004; Chaozhuo Li; Ruosong Long; Chao Yan 004; Jianan Zhao 002; Wenwen Zhuang; Jun Yin 005; Peiyan Zhang; Weihao Han; Hao Sun 015; Weiwei Deng; Qi Zhang 066; et al. (NeurIPS, 2023)

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. - Jun Yin 005; Chaozhuo Li; Hao Yan 004; Jianxun Lian; Senzhang Wang (NeurIPS, 2023)

Bayesian Active Causal Discovery with Multi-Fidelity Experiments. - Zeyu Zhang 007; Chaozhuo Li; Xu Chen 017; Xing Xie 001 (NeurIPS, 2023)

Generative Sentiment Transfer via Adaptive Masking. - Yingze Xie; Jie Xu 015; LiQiang Qiao; Yun Liu 017; Feiran Huang; Chaozhuo Li (PAKDD (4), 2023)

Hierarchical Graph Contrastive Learning. - Hao Yan 004; Senzhang Wang; Jun Yin 005; Chaozhuo Li; Junxing Zhu; Jianxin Wang 001 (ECML/PKDD (2), 2023)

Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. - Senzhang Wang; Hao Yan 004; Jinlong Du; Jun Yin 005; Junxing Zhu; Chaozhuo Li; Jianxin Wang 001 (SDM, 2023)

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. - Zhoujin Tian; Chaozhuo Li; Zhiqiang Zuo 004; Zengxuan Wen; Xinyue Hu 003; Xiao Han; Haizhen Huang; Senzhang Wang; Weiwei Deng; Xing Xie 001; Qi Zhang 066 (SIGIR, 2023)

Continual Learning on Dynamic Graphs via Parameter Isolation. - Peiyan Zhang; Yuchen Yan; Chaozhuo Li; Senzhang Wang; Xing Xie 001; Guojie Song; Sunghun Kim 001 (SIGIR, 2023)

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. - Yi Zhao; Chaozhuo Li; Jiquan Peng; Xiaohan Fang; Feiran Huang; Senzhang Wang; Xing Xie 001; Jibing Gong (SIGIR, 2023)

Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding. - Chen Ji; Jilu Wang; Jie Xu 015; Wenxiao Liu; Zihong Yang; Feiran Huang; Chaozhuo Li (WISE, 2023)

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. - Peiyan Zhang; Jiayan Guo; Chaozhuo Li; Yueqi Xie; Jaeboum Kim; Yan Zhang; Xing Xie 001; Haohan Wang; Sunghun Kim 001 (WSDM, 2023)

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. - Xiran Song; Jianxun Lian; Hong Huang 001; Zihan Luo 001; Wei Zhou; Xue Lin 005; Mingqi Wu; Chaozhuo Li; Xing Xie 001; Hai Jin 001 (WWW, 2023)

ConvFormer: Revisiting Transformer for Sequential User Modeling. - Hao Wang 049; Jianxun Lian; Mingqi Wu; Haoxuan Li 001; Jiajun Fan; Wanyue Xu; Chaozhuo Li; Xing Xie 001 (CoRR, 2023)

Can Transformer and GNN Help Each Other? - Peiyan Zhang; Yuchen Yan; Chaozhuo Li; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (CoRR, 2023)

Customized Graph Nerual Networks. - Yiqi Wang 001; Yao Ma 001; Wei Jin 009; Chaozhuo Li; Charu Aggarwal 001; Jiliang Tang (IEEE Data Eng. Bull., 2023)

Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting. - Muzi Cui; Hao Jiang; Chaozhuo Li (Inf., 2023)

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. - Yiqi Wang 001; Chaozhuo Li; Zheng Liu 011; Mingzheng Li; Jiliang Tang; Xing Xie 001; Lei Chen 002; Philip S. Yu (ACM Trans. Inf. Syst., 2023)

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. - Chaozhuo Li; Senzhang Wang; Jie Xu 015; Zheng Liu 011; Hao Wang 068; Xing Xie 001; Lei Chen 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Explainable survival analysis with uncertainty using convolution-involved vision transformer. - Zhihao Tang 002; Li Liu; Yifan Shen; Zongyi Chen; Guixiang Ma; Jiyan Dong; Xujie Sun; Xi Zhang 008; Chaozhuo Li; Qingfeng Zheng; Lin Yang (Comput. Medical Imaging Graph., 2023)

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation. - Yijun Ma; Chaozhuo Li; Xiao Zhou 005 (AAAI, 2024)

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. - Litian Zhang; Xiaoming Zhang 001; Ziyi Zhou; Feiran Huang; Chaozhuo Li (AAAI, 2024)

Evidence Retrieval is almost All You Need for Fact Verification. - Liwen Zheng; Chaozhuo Li; Xi Zhang 008; Yuming Shang; Feiran Huang; Haoran Jia (ACL (Findings), 2024)

BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting. - Rui Pu; Chaozhuo Li; Rui Ha; Litian Zhang; Lirong Qiu; Xi Zhang 008 (EMNLP, 2024)

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. - Peiyan Zhang; Haoyang Liu 001; Chaozhuo Li; Xing Xie 001; Sunghun Kim 001; Haohan Wang (ICLR, 2024)

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization. - Rui Li 086; Chaozhuo Li; Yanming Shen; Zeyu Zhang 007; Xu Chen 017 (ICML, 2024)

Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training. - Shiqin Liu; Chaozhuo Li; Xi Zhang 008; Minjun Zhao; Yuanbo Xu; Jiajun Bu (ACM Multimedia, 2024)

Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation. - Litian Zhang; Xiaoming Zhang 001; Chaozhuo Li; Ziyi Zhou; Jiacheng Liu; Feiran Huang; Xi Zhang 008 (ACM Multimedia, 2024)

Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning. - Yuefei Lyu; Chaozhuo Li; Sihong Xie; Xi Zhang 008 (NeurIPS, 2024)

Context-Aware Structural Adaptive Graph Neural Networks. - Jiakun Chen; Jie Xu 015; Jiahui Hu; LiQiang Qiao; Shuo Wang; Feiran Huang; Chaozhuo Li (PRICAI (1), 2024)

Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank. - Jiahui Hu; Jie Xu 015; Jiakun Chen; LiQiang Qiao; Jilu Wang; Feiran Huang; Chaozhuo Li (PRICAI (1), 2024)

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. - Peiyan Zhang; Yuchen Yan; Xi Zhang 008; Chaozhuo Li; Senzhang Wang; Feiran Huang; Sunghun Kim 001 (SIGIR, 2024)

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. - Peiyan Zhang; Yuchen Yan; Xi Zhang 008; Liying Kang; Chaozhuo Li; Feiran Huang; Senzhang Wang; Sunghun Kim 001 (SIGIR, 2024)

Information Retrieval Meets Large Language Models. - Zheng Liu 011; Yujia Zhou 002; Yutao Zhu 001; Jianxun Lian; Chaozhuo Li; Zhicheng Dou; Defu Lian; Jian-Yun Nie (WWW (Companion Volume), 2024)

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. - Peiyan Zhang; Chaozhuo Li; Liying Kang; Feiran Huang; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (WWW, 2024)

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection. - Ziyi Zhou; Xiaoming Zhang 001; Litian Zhang; Jiacheng Liu; Xi Zhang 008; Chaozhuo Li (CoRR, 2024)

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. - Jun Yin 005; Zhengxin Zeng; Mingzheng Li; Hao Yan 004; Chaozhuo Li; Weihao Han; Jianjin Zhang; Ruochen Liu 001; Allen Sun; Denvy Deng; Feng Sun 008; Qi Zhang 066; et al. (CoRR, 2024)

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. - Yujia Zhou 002; Yan Liu 002; Xiaoxi Li; Jiajie Jin; Hongjin Qian; Zheng Liu 011; Chaozhuo Li; Zhicheng Dou; Tsung-Yi Ho; Philip S. Yu (CoRR, 2024)

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. - Zheng Liu 011; Chenyuan Wu; Ninglu Shao; Shitao Xiao; Chaozhuo Li; Defu Lian (CoRR, 2024)

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. - Hao Yan 004; Chaozhuo Li; Zhigang Yu; Jun Yin 005; Ruochen Liu 001; Peiyan Zhang; Weihao Han; Mingzheng Li; Zhengxin Zeng; Hao Sun 015; Weiwei Deng; Feng Sun 008; et al. (CoRR, 2024)

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs. - Rui Pu; Chaozhuo Li; Rui Ha; Zejian Chen; Litian Zhang; Zheng Liu 011; Lirong Qiu; Xi Zhang 008 (CoRR, 2024)

HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives. - Wenxiao Liu; Zihong Yang; Chaozhuo Li; Zijin Hong; Jianfeng Ma; Zhiquan Liu; Litian Zhang; Feiran Huang (CoRR, 2024)

PPMGS: An efficient and effective solution for distributed privacy-preserving semi-supervised learning. - Zhi Li 045; Chaozhuo Li; Zhoujun Li 001; Jian Weng 001; Feiran Huang; Zhibo Zhou (Inf. Sci., 2024)

Challenges of COVID-19 Case Forecasting in the US, 2020-2021. - Velma K. Lopez; Estee Y. Cramer; Robert Pagano; John M. Drake; Eamon B. O'Dea; Madeline Adee; Turgay Ayer; Jagpreet Chhatwal; Ozden O. Dalgic; Mary A. Ladd; Benjamin P. Linas; Peter P. Mueller; et al. (PLoS Comput. Biol., 2024)

Growing Like a Tree: Finding Trunks From Graph Skeleton Trees. - Zhongyu Huang; Yingheng Wang; Chaozhuo Li; Huiguang He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. - Qihua Feng; Peiya Li; Zhixun Lu; Chaozhuo Li; Zefan Wang; Zhiquan Liu; Chunhui Duan; Feiran Huang; Jian Weng 001; Philip S. Yu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment. - Jie Xu 015; Chaozhuo Li; Feiran Huang; Zhoujun Li 001; Xing Xie 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation. - Yiheng Jiang; Yuanbo Xu; Yongjian Yang 001; Funing Yang; Pengyang Wang; Chaozhuo Li; Fuzhen Zhuang; Hui Xiong 001 (ACM Trans. Inf. Syst., 2024)

What Is a Good Question? Assessing Question Quality via Meta-Fact Checking. - Bo Zhang 096; Jianghua Zhu; Chaozhuo Li; Hao Yu; Li Kong; Zhan Wang; Dezhuang Miao; Xiaoming Zhang 001; Junsheng Zhou (AAAI, 2025)

Auto Encoding Neural Process for Multi-interest Recommendation. - Yiheng Jiang; Yuanbo Xu; Yongjian Yang 001; Funing Yang; Pengyang Wang; Chaozhuo Li (AAAI, 2025)

Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers. - Hui Pang; Chaozhuo Li; Litian Zhang; Senzhang Wang; Xi Zhang 008 (AAAI, 2025)

From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction. - Zhihao Tang 002; Xi Zhang 008; Chaozhuo Li (AAAI, 2025)

MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning. - Liwen Zheng; Chaozhuo Li; Litian Zhang; Haoran Jia; Senzhang Wang; Zheng Liu 011; Xi Zhang 008 (AAAI, 2025)

Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection. - Ziyi Zhou; Xiaoming Zhang 001; Shenghan Tan; Litian Zhang; Chaozhuo Li (AAAI, 2025)

Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training. - Wenting Zhu; Chaozhuo Li; Litian Zhang; Senzhang Wang; Xi Zhang 008 (AAAI, 2025)

Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval. - Chaofan Li; Jianlyu Chen; Yingxia Shao; Chaozhuo Li; Quanqing Xu; Defu Lian; Zheng Liu 011 (ACL (1), 2025)

MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. - Hao Yan 004; Chaozhuo Li; Jun Yin 005; Weihao Han; Hao Sun 015; Senzhang Wang; Jian Zhang 048; Jianxin Wang 001 (WSDM, 2025)

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. - Chenyuan Wu; Ninglu Shao; Zheng Liu 011; Shitao Xiao; Chaozhuo Li; Chen Zhang 013; Senzhang Wang; Defu Lian (WSDM, 2025)

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. - Jun Yin 005; Zhengxin Zeng; Mingzheng Li; Hao Yan 004; Chaozhuo Li; Weihao Han; Jianjin Zhang; Ruochen Liu 001; Hao Sun 015; Weiwei Deng; Feng Sun 008; Qi Zhang 066; et al. (WWW, 2025)

ModalSync: Synchronizing User Behavior with Multimodal Features for Multimodal Pre-training Recommendation. - Shiqin Liu; Chaozhuo Li; Minjun Zhao; Litian Zhang; Jiajun Bu (WWW (Companion Volume), 2025)

Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. - Zheng Liu 011; Chaofan Li; Shitao Xiao; Chaozhuo Li; Chen Jason Zhang; Hao Liao; Defu Lian; Yingxia Shao (WWW, 2025)

Contrastive learning with hard negatives for sentence embeddings. - Wenxiao Liu; Zihong Yang; Chaozhuo Li; Zijin Hong; Jianfeng Ma; Zhiquan Liu; Litian Zhang; Feiran Huang (Appl. Soft Comput., 2025)

Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy. - Xiaohan Fang; Chaozhuo Li; Yi Zhao; Qian Zang; Litian Zhang; Jiquan Peng; Xi Zhang 008; Jibing Gong (Expert Syst. Appl., 2025)

End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer. - Qihua Feng; Zhixun Lu; Chaozhuo Li; Feiran Huang; Jian Weng 001; Philip S. Yu (Inf. Fusion, 2025)

Identifying the hierarchical emotional areas in the human brain through information fusion. - Zhongyu Huang; Changde Du; Chaozhuo Li; Kaicheng Fu; Huiguang He (Inf. Fusion, 2025)

Federated graph transformer with mixture attentions for secure graph knowledge fusions. - Zhi Li 045; Chaozhuo Li; Ming Li 049; Liqun Yang; Jian Weng 001 (Inf. Fusion, 2025)

Knowledge-aware multimodal pre-training for fake news detection. - Litian Zhang; Xiaoming Zhang 001; Ziyi Zhou; Xi Zhang 008; Philip S. Yu; Chaozhuo Li (Inf. Fusion, 2025)

LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation. - Zhi Li 045; Chaozhuo Li; Feiran Huang; Xi Zhang 008; Jian Weng 001; Philip S. Yu (IEEE Trans. Inf. Forensics Secur., 2025)

Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning. - Hao Yan 004; Senzhang Wang; Chaozhuo Li; Jun Yin 005; Philip S. Yu; Jianxin Wang 001 (ACM Trans. Knowl. Discov. Data, 2025)

Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining. - Qihua Feng; Zhixun Lu; Litian Zhang; Chaozhuo Li; Feiran Huang; Jian Weng 001; Philip S. Yu (IEEE Trans. Serv. Comput., 2025)

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width. - Zheng Liu 011; Chaofan Li; Shitao Xiao; Chaozhuo Li; Defu Lian; Yingxia Shao (CoRR, 2025)

Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems. - Bingyu Yan; Xiaoming Zhang; Litian Zhang; Lian Zhang; Ziyi Zhou; Dezhuang Miao; Chaozhuo Li (CoRR, 2025)

Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems. - Yuanbo Xu; Fuzhen Zhuang; En Wang; Chaozhuo Li; Jie Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Meta Recommendation With Robustness Improvement. - Zeyu Zhang 007; Chaozhuo Li; Xu Chen 017; Xing Xie 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. - Litian Zhang; Xiaoming Zhang 001; Ziyi Zhou; Xi Zhang 008; Senzhang Wang; Philip S. Yu; Chaozhuo Li (IEEE Trans. Knowl. Data Eng., 2025)

MirrorGuard: Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting. - Rui Pu; Chaozhuo Li; Rui Ha; Litian Zhang; Lirong Qiu; Xi Zhang 008 (CoRR, 2025)

CTUSurv: A Cell-Aware Transformer-Based Network With Uncertainty for Survival Prediction Using Whole Slide Images. - Zhihao Tang 002; Lin Yang; Zongyi Chen; Li Liu; Chaozhuo Li; Ruanqi Chen; Xi Zhang 008; Qingfeng Zheng (IEEE Trans. Medical Imaging, 2025)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Sunghun Kim 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection. - Ziyi Zhou; Xiaoming Zhang; Litian Zhang; Yibo Zhang; Zhenyu Guan; Chaozhuo Li; Philip S. Yu (CoRR, 2025)

Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction. - Zhihao Tang 002; Chaozhuo Li; Litian Zhang; Xi Zhang 008 (CoRR, 2025)

Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge. - Yi Sui; Chaozhuo Li; Chen Zhang 013; Dawei song; Qiuchi Li (CoRR, 2025)

Reasoning Paths as Signals: Augmenting Multi-hop Fact Verification through Structural Reasoning Progression. - Liwen Zheng; Chaozhuo Li; Haoran Jia; Xi Zhang 008 (CoRR, 2025)

Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification. - Liwen Zheng; Chaozhuo Li; Zheng Liu 011; Feiran Huang; Haoran Jia; Zaisheng Ye; Xi Zhang 008 (CoRR, 2025)

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. - Longzhu He; Chaozhuo Li; Peng Tang; Lichao Sun 001; Sen Su; Philip S. Yu (CoRR, 2025)

Two Birds with One Stone: Improving Factuality and Faithfulness of LLMs via Dynamic Interactive Subspace Editing. - Pengbo Wang; Chaozhuo Li; Chenxu Wang; Liwen Zheng; Litian Zhang; Xi Zhang 008 (CoRR, 2025)

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs. - Songyang Liu; Chaozhuo Li; Jiameng Qiu; Xi Zhang 008; Feiran Huang; Litian Zhang; Yiming Hei; Philip S. Yu (CoRR, 2025)

Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks. - Yuefei Lyu; Chaozhuo Li; Xi Zhang 008; Tianle Zhang (CoRR, 2025)

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models. - Chaozhuo Li; Pengbo Wang; Chenxu Wang; Litian Zhang; Zheng Liu 011; Qiwei Ye; Yuanbo Xu; Feiran Huang; Xi Zhang 008; Philip S. Yu (CoRR, 2025)

LLMs are Introvert. - Litian Zhang; Xiaoming Zhang; Bingyu Yan; Ziyi Zhou; Bo Zhang; Zhenyu Guan; Xi Zhang 008; Chaozhuo Li (CoRR, 2025)

T3MAL: Test-Time Fast Adaptation for Robust Multi-Scale Information Diffusion Prediction. - Wenting Zhu; Chaozhuo Li; Qingpo Yang; Xi Zhang 008; Philip S. Yu (CoRR, 2025)

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning. - Rui Pu; Chaozhuo Li; Rui Ha; Litian Zhang; Lirong Qiu; Xi Zhang 008 (CoRR, 2025)

Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS. - Bingyu Yan; Ziyi Zhou; Xiaoming Zhang; Chaozhuo Li; Ruilin Zeng; Yirui Qi; Tianbo Wang; Litian Zhang (CoRR, 2025)

From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control. - Rui Ha; Chaozhuo Li; Rui Pu; Sen Su (CoRR, 2025)