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ORCIDChaozhuo Li
李朝卓
Person information
- unicode name: 李朝卓
- affiliation: Beijing University of Posts and Telecommunications (BUPT), Beijing, China
- affiliation (former): Microsoft Research Asia, Beijing, China
- affiliation (PhD 2020): Beihang University, Beijing, China
- affiliation: University of Illinois at Urbana-Champaign (UIUC), Champaign, IL, USA
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2020 – today
- 2026
[j37]Jibing Gong, Jiquan Peng, Wei Wang, Wei Zhou, Chaozhuo Li, Philip S. Yu:
Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism. Inf. Fusion 127: 103733 (2026)- 2025
- [j36]Wenxiao Liu, Zihong Yang
, Chaozhuo Li, Zijin Hong, Jianfeng Ma, Zhiquan Liu, Litian Zhang, Feiran Huang:
Contrastive learning with hard negatives for sentence embeddings. Appl. Soft Comput. 184: 113685 (2025) - [j35]Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong:
Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy. Expert Syst. Appl. 294: 128698 (2025) - [j34]Zhongyu Huang, Changde Du, Chaozhuo Li, Kaicheng Fu, Huiguang He:
Identifying the hierarchical emotional areas in the human brain through information fusion. Inf. Fusion 113: 102613 (2025) - [j33]Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Philip S. Yu, Chaozhuo Li:
Knowledge-aware multimodal pre-training for fake news detection. Inf. Fusion 114: 102715 (2025) - [j32]Zhi Li, Chaozhuo Li, Ming Li, Liqun Yang, Jian Weng:
Federated graph transformer with mixture attentions for secure graph knowledge fusions. Inf. Fusion 118: 102954 (2025) - [j31]Qihua Feng, Zhixun Lu, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu:
End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer. Inf. Fusion 121: 103153 (2025) - [j30]Zhi Li, Chaozhuo Li, Feiran Huang, Xi Zhang, Jian Weng, Philip S. Yu:
LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation. IEEE Trans. Inf. Forensics Secur. 20: 8178-8193 (2025) - [j29]Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Liying Kang, Jaeboum Kim, Jie Xu, Xi Zhang, Yan Zhang, Haohan Wang, Sunghun Kim:
Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining. ACM Trans. Intell. Syst. Technol. 16(5): 101:1-101:26 (2025) - [j28]Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philip S. Yu, Jianxin Wang:
Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 19(4): 1-25 (2025) - [j27]Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li:
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. IEEE Trans. Knowl. Data Eng. 37(2): 613-625 (2025) - [j26]Yuanbo Xu, Fuzhen Zhuang, En Wang, Chaozhuo Li, Jie Wu:
Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems. IEEE Trans. Knowl. Data Eng. 37(2): 754-765 (2025) - [j25]Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie, Philip S. Yu:
Meta Recommendation With Robustness Improvement. IEEE Trans. Knowl. Data Eng. 37(2): 781-793 (2025) - [j24]Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu:
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. IEEE Trans. Knowl. Data Eng. 37(5): 2652-2664 (2025) - [j23]Zhihao Tang, Lin Yang, Zongyi Chen, Li Liu, Chaozhuo Li, Ruanqi Chen, Xi Zhang, Qingfeng Zheng:
CTUSurv: A Cell-Aware Transformer-Based Network With Uncertainty for Survival Prediction Using Whole Slide Images. IEEE Trans. Medical Imaging 44(4): 1750-1764 (2025) - [j22]Hangtong Xu, Yuanbo Xu, Chaozhuo Li, Fuzhen Zhuang:
Causal Structure Representation Learning of Unobserved Confounders in Latent Space for Recommendation. ACM Trans. Inf. Syst. 43(6): 146:1-146:29 (2025) - [j21]Qihua Feng, Zhixun Lu, Litian Zhang, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu:
Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining. IEEE Trans. Serv. Comput. 18(4): 2310-2325 (2025) - [c87]Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li:
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection. AAAI 2025: 1210-1218 - [c86]Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang:
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers. AAAI 2025: 6389-6397 - [c85]Zhihao Tang, Xi Zhang, Chaozhuo Li:
From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction. AAAI 2025: 7329-7337 - [c84]Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li:
Auto Encoding Neural Process for Multi-interest Recommendation. AAAI 2025: 11879-11887 - [c83]Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang:
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training. AAAI 2025: 13464-13472 - [c82]Bo Zhang, Jianghua Zhu, Chaozhuo Li, Hao Yu, Li Kong, Zhan Wang, Dezhuang Miao, Xiaoming Zhang, Junsheng Zhou:
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking. AAAI 2025: 15248-15256 - [c81]Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang:
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning. AAAI 2025: 26066-26074 - [c80]Chaofan Li, Jianlyu Chen, Yingxia Shao, Chaozhuo Li, Quanqing Xu, Defu Lian, Zheng Liu:
Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval. ACL (1) 2025: 22061-22073 - [c79]Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu:
LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation. CIKM 2025: 1892-1902 - [c78]Chaozhuo Li, Hui Pang, Xi Zhang, Litian Zhang, Feiran Huang, Ming Lu:
Harnessing Counterfactual Reasoning for Explainable Multi-Modal Fact Verification with Large Language Models. ICME 2025: 1-6 - [c77]Longzhu He, Chaozhuo Li, Peng Tang, Sen Su:
Going Deeper into Locally Differentially Private Graph Neural Networks. ICML 2025 - [c76]Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye:
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling. IJCAI 2025: 493-501 - [c75]Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang:
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction. IJCAI 2025: 1332-1340 - [c74]Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang:
Diffusion Guided Propagation Augmentation for Popularity Prediction. IJCAI 2025: 7482-7490 - [c73]Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang:
When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning. KDD (2) 2025: 5842-5853 - [c72]Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang:
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. WSDM 2025: 242-250 - [c71]Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian:
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. WSDM 2025: 271-280 - [c70]Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang:
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. WWW 2025: 216-227 - [c69]Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu:
ModalSync: Synchronizing User Behavior with Multimodal Features for Multimodal Pre-training Recommendation. WWW (Companion Volume) 2025: 2278-2287 - [c68]Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao:
Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. WWW 2025: 3942-3951 - [i57]Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Defu Lian, Yingxia Shao:
Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width. CoRR abs/2501.16302 (2025) - [i56]Bingyu Yan, Xiaoming Zhang, Litian Zhang, Lian Zhang, Ziyi Zhou, Dezhuang Miao, Chaozhuo Li:
Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems. CoRR abs/2502.14321 (2025) - [i55]Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang:
MirrorGuard: Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting. CoRR abs/2503.12931 (2025) - [i54]Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li:
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection. CoRR abs/2503.21127 (2025) - [i53]Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Yibo Zhang, Zhenyu Guan, Chaozhuo Li, Philip S. Yu:
Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection. CoRR abs/2506.04739 (2025) - [i52]Zhihao Tang, Chaozhuo Li, Litian Zhang, Xi Zhang:
Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction. CoRR abs/2506.05428 (2025) - [i51]Yi Sui, Chaozhuo Li, Chen Zhang, Dawei song, Qiuchi Li:
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge. CoRR abs/2506.06240 (2025) - [i50]Liwen Zheng, Chaozhuo Li, Haoran Jia, Xi Zhang:
Reasoning Paths as Signals: Augmenting Multi-hop Fact Verification through Structural Reasoning Progression. CoRR abs/2506.07075 (2025) - [i49]Liwen Zheng, Chaozhuo Li, Zheng Liu, Feiran Huang, Haoran Jia, Zaisheng Ye, Xi Zhang:
Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification. CoRR abs/2506.07446 (2025) - [i48]Longzhu He, Chaozhuo Li, Peng Tang, Lichao Sun, Sen Su, Philip S. Yu:
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. CoRR abs/2506.09803 (2025) - [i47]Pengbo Wang, Chaozhuo Li, Chenxu Wang, Liwen Zheng, Litian Zhang, Xi Zhang:
Two Birds with One Stone: Improving Factuality and Faithfulness of LLMs via Dynamic Interactive Subspace Editing. CoRR abs/2506.11088 (2025) - [i46]Songyang Liu, Chaozhuo Li, Jiameng Qiu, Xi Zhang, Feiran Huang, Litian Zhang, Yiming Hei, Philip S. Yu:
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs. CoRR abs/2506.11094 (2025) - [i45]Yuefei Lyu, Chaozhuo Li, Xi Zhang, Tianle Zhang:
Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks. CoRR abs/2506.13276 (2025) - [i44]Chaozhuo Li, Pengbo Wang, Chenxu Wang, Litian Zhang, Zheng Liu, Qiwei Ye, Yuanbo Xu, Feiran Huang, Xi Zhang, Philip S. Yu:
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models. CoRR abs/2507.02870 (2025) - [i43]Litian Zhang, Xiaoming Zhang, Bingyu Yan, Ziyi Zhou, Bo Zhang, Zhenyu Guan, Xi Zhang, Chaozhuo Li:
LLMs are Introvert. CoRR abs/2507.05638 (2025) - [i42]Wenting Zhu, Chaozhuo Li, Qingpo Yang, Xi Zhang, Philip S. Yu:
T3MAL: Test-Time Fast Adaptation for Robust Multi-Scale Information Diffusion Prediction. CoRR abs/2507.12880 (2025) - [i41]Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang:
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning. CoRR abs/2508.03054 (2025) - [i40]Bingyu Yan, Ziyi Zhou, Xiaoming Zhang, Chaozhuo Li, Ruilin Zeng, Yirui Qi, Tianbo Wang, Litian Zhang:
Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS. CoRR abs/2508.03125 (2025) - [i39]Rui Ha, Chaozhuo Li, Rui Pu, Sen Su:
From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control. CoRR abs/2508.04460 (2025) - 2024
- [j20]Zhi Li, Chaozhuo Li, Zhoujun Li, Jian Weng, Feiran Huang, Zhibo Zhou:
PPMGS: An efficient and effective solution for distributed privacy-preserving semi-supervised learning. Inf. Sci. 678: 120934 (2024) - [j19]Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He:
Growing Like a Tree: Finding Trunks From Graph Skeleton Trees. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2838-2851 (2024) - [j18]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, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson:
Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput. Biol. 20(5): 1011200 (2024) - [j17]Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li, Zefan Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang, Jian Weng, Philip S. Yu:
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7467-7483 (2024) - [j16]Jie Xu, Chaozhuo Li, Feiran Huang, Zhoujun Li, Xing Xie, Philip S. Yu:
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13340-13353 (2024) - [j15]Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong:
TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation. ACM Trans. Inf. Syst. 42(6): 157:1-157:34 (2024) - [c67]Yijun Ma, Chaozhuo Li, Xiao Zhou:
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation. AAAI 2024: 8895-8903 - [c66]Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li:
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. AAAI 2024: 16777-16785 - [c65]Liwen Zheng, Chaozhuo Li, Xi Zhang, Yuming Shang, Feiran Huang, Haoran Jia:
Evidence Retrieval is almost All You Need for Fact Verification. ACL (Findings) 2024: 9274-9281 - [c64]Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang:
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting. EMNLP 2024: 15654-15668 - [c63]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 - [c62]Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen:
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization. ICML 2024 - [c61]Litian Zhang, Xiaoming Zhang, Chaozhuo Li, Ziyi Zhou, Jiacheng Liu, Feiran Huang, Xi Zhang:
Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation. ACM Multimedia 2024: 2842-2851 - [c60]Shiqin Liu, Chaozhuo Li, Xi Zhang, Minjun Zhao, Yuanbo Xu, Jiajun Bu:
Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training. ACM Multimedia 2024: 9505-9514 - [c59]Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang:
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning. NeurIPS 2024 - [c58]Jiahui Hu, Jie Xu, Jiakun Chen, LiQiang Qiao, Jilu Wang, Feiran Huang, Chaozhuo Li:
Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank. PRICAI (1) 2024: 454-466 - [c57]Jiakun Chen, Jie Xu, Jiahui Hu, LiQiang Qiao, Shuo Wang, Feiran Huang, Chaozhuo Li:
Context-Aware Structural Adaptive Graph Neural Networks. PRICAI (1) 2024: 467-479 - [c56]Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim:
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. SIGIR 2024: 1285-1295 - [c55]Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim:
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. SIGIR 2024: 1774-1784 - [c54]Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie:
Information Retrieval Meets Large Language Models. WWW (Companion Volume) 2024: 1586-1589 - [c53]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: 4316-4327 - [i38]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 abs/2402.16240 (2024) - [i37]Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Xi Zhang, Chaozhuo Li:
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection. CoRR abs/2404.01336 (2024) - [i36]Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen:
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization. CoRR abs/2405.08540 (2024) - [i35]Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim:
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR abs/2406.08229 (2024) - [i34]Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong:
Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy. CoRR abs/2407.17745 (2024) - [i33]Zhongyu Huang, Changde Du, Chaozhuo Li, Kaicheng Fu, Huiguang He:
Identifying the Hierarchical Emotional Areas in the Human Brain Through Information Fusion. CoRR abs/2408.00525 (2024) - [i32]Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang:
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. CoRR abs/2409.09253 (2024) - [i31]Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu:
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. CoRR abs/2409.10102 (2024) - [i30]Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Chaozhuo Li, Defu Lian:
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. CoRR abs/2409.15699 (2024) - [i29]Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang:
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. CoRR abs/2410.09132 (2024) - [i28]Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Xi Zhang:
Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs. CoRR abs/2410.16327 (2024) - [i27]Wenxiao Liu, Zihong Yang, Chaozhuo Li, Zijin Hong, Jianfeng Ma, Zhiquan Liu, Litian Zhang, Feiran Huang:
HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives. CoRR abs/2411.12156 (2024) - 2023
- [j14]Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang:
Explainable survival analysis with uncertainty using convolution-involved vision transformer. Comput. Medical Imaging Graph. 110: 102302 (2023) - [j13]Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang:
Customized Graph Nerual Networks. IEEE Data Eng. Bull. 47(2): 108-125 (2023) - [j12]Muzi Cui, Hao Jiang, Chaozhuo Li:
Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting. Inf. 14(9): 512 (2023) - [j11]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): 10166-10180 (2023) - [j10]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): 43:1-43:27 (2023) - [c52]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: 6335-6347 - [c51]Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li:
Clean-label Poisoning Attack against Fake News Detection Models. IEEE Big Data 2023: 3614-3623 - [c50]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: 976-986 - [c49]Jie Xu, Chaozhuo Li:
Geometry Interaction Augmented Graph Collaborative Filtering. CIKM 2023: 4375-4379 - [c48]Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie:
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. EMNLP 2023: 3655-3665 - [c47]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 - [c46]Jiquan Peng, Chaozhuo Li, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong:
Improving Vision Transformers with Nested Multi-head Attentions. ICME 2023: 1925-1930 - [c45]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: 4924-4936 - [c44]Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang:
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. NeurIPS 2023 - [c43]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 - [c42]Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang:
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS 2023 - [c41]Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie:
Bayesian Active Causal Discovery with Multi-Fidelity Experiments. NeurIPS 2023 - [c40]Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li:
Generative Sentiment Transfer via Adaptive Masking. PAKDD (4) 2023: 198-209 - [c39]Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang:
Hierarchical Graph Contrastive Learning. ECML/PKDD (2) 2023: 700-715 - [c38]Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang:
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. SDM 2023: 163-171 - [c37]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR 2023: 601-611 - [c36]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: 1488-1497 - [c35]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: 2189-2193 - [c34]Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li:
Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding. WISE 2023: 609-618 - [c33]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: 168-176 - [c32]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: 349-359 - [i26]Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li:
Generative Sentiment Transfer via Adaptive Masking. CoRR abs/2302.12045 (2023) - [i25]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR abs/2305.13825 (2023) - [i24]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 abs/2305.14126 (2023) - [i23]Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie:
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR abs/2308.02925 (2023) - [i22]Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang:
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR abs/2308.10632 (2023) - [i21]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim:
Can Transformer and GNN Help Each Other? CoRR abs/2308.14355 (2023) - 2022
- [j9]Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu:
Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks. IEEE Trans. Cybern. 52(6): 4472-4484 (2022) - [c31]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: 624-634 - [c30]Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie:
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. EMNLP 2022: 8870-8883 - [c29]Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu:
Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN. ICDE 2022: 1714-1726 - [c28]Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He:
Going Deeper into Permutation-Sensitive Graph Neural Networks. ICML 2022: 9377-9409 - [c27]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: 13209-13224 - [c26]Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie:
Reinforcement Subgraph Reasoning for Fake News Detection. KDD 2022: 2253-2262 - [c25]Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang:
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. KDD 2022: 3713-3721 - [c24]Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang:
Localized Graph Collaborative Filtering. SDM 2022: 540-548 - [c23]Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang:
Geometric Disentangled Collaborative Filtering. SIGIR 2022: 80-90 - [c22]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR 2022: 1599-1610 - [c21]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW 2022: 286-296 - [i20]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 abs/2201.05409 (2022) - [i19]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 abs/2202.07919 (2022) - [i18]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR abs/2205.10775 (2022) - [i17]Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He:
Going Deeper into Permutation-Sensitive Graph Neural Networks. CoRR abs/2205.14368 (2022) - [i16]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 abs/2206.12779 (2022) - [i15]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. CoRR abs/2206.12781 (2022) - [i14]Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie:
Geometric Interaction Augmented Graph Collaborative Filtering. CoRR abs/2208.01250 (2022) - [i13]Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li, Zefang Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang:
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. CoRR abs/2208.14657 (2022) - [i12]Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie:
Test-Time Training for Graph Neural Networks. CoRR abs/2210.08813 (2022) - [i11]Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie:
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. CoRR abs/2210.09926 (2022) - [i10]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. CoRR abs/2210.14709 (2022) - 2021
- [j8]Yun Liu, Xiaoming Zhang, Qianyun Zhang, Chaozhuo Li, Feiran Huang, Xianghong Tang, Zhoujun Li:
Dual self-attention with co-attention networks for visual question answering. Pattern Recognit. 117: 107956 (2021) - [j7]Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu:
Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations. IEEE Trans. Ind. Informatics 17(4): 2974-2982 (2021) - [j6]Feiran Huang, Chaozhuo Li, Boyu Gao, Yun Liu, Sattam Alotaibi, Hao Chen:
Deep Attentive Multimodal Network Representation Learning for Social Media Images. ACM Trans. Internet Techn. 21(3): 69:1-69:17 (2021) - [c20]Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu:
Hubness-aware User Identity Linkage. CIKM 2021: 3196-3200 - [c19]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: 2215-2224 - [c18]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. NeurIPS 2021: 28798-28810 - [c17]Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang:
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. SIGIR 2021: 223-232 - [i9]Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang:
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. CoRR abs/2104.12080 (2021) - [i8]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Language Models for Linked Text Representation. CoRR abs/2105.02605 (2021) - [i7]Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie:
Localized Graph Collaborative Filtering. CoRR abs/2108.04475 (2021) - [i6]Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye:
Gophormer: Ego-Graph Transformer for Node Classification. CoRR abs/2110.13094 (2021) - [i5]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 abs/2112.07191 (2021) - [i4]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 abs/2112.07373 (2021) - 2020
- [j5]Zhi Li, Chaozhuo Li, Liqun Yang, Philip S. Yu, Zhoujun Li:
Mixture distribution modeling for scalable graph-based semi-supervised learning. Knowl. Based Syst. 200: 105974 (2020)
2010 – 2019
- 2019
- [j4]Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He:
Sentiment analysis of social images via hierarchical deep fusion of content and links. Appl. Soft Comput. 80: 387-399 (2019) - [j3]Feiran Huang, Xiaoming Zhang, Jie Xu, Chaozhuo Li, Zhoujun Li:
Network embedding by fusing multimodal contents and links. Knowl. Based Syst. 171: 44-55 (2019) - [j2]Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He:
Visual-textual sentiment classification with bi-directional multi-level attention networks. Knowl. Based Syst. 178: 61-73 (2019) - [j1]Chaozhuo Li, Senzhang Wang, Dejian Yang, Philip S. Yu, Yanbo Liang, Zhoujun Li:
Adversarial learning for multi-view network embedding on incomplete graphs. Knowl. Based Syst. 180: 91-103 (2019) - [c16]Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li:
Adversarial Learning for Weakly-Supervised Social Network Alignment. AAAI 2019: 996-1003 - [c15]Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang:
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. CIKM 2019: 249-258 - [c14]Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li:
Multi-Hot Compact Network Embedding. CIKM 2019: 459-468 - [c13]Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu:
MARS: Memory Attention-Aware Recommender System. DSAA 2019: 11-20 - [c12]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. EMNLP/IJCNLP (1) 2019: 6285-6291 - [c11]Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR 2019: 1081-1084 - [i3]Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li:
Multi-Hot Compact Network Embedding. CoRR abs/1903.03213 (2019) - [i2]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR abs/1909.00124 (2019) - 2018
- [c10]Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang:
Distribution Distance Minimization for Unsupervised User Identity Linkage. CIKM 2018: 447-456 - [c9]Yanbo Liang, Yongyang Yu, MingJie Tang, Chaozhuo Li, Weiqing Yang, Weichen Xu, Ruifeng Zheng:
Optimizing Generalized Linear Models with Billions of Variables. CIKM 2018: 2155-2163 - [c8]Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li:
SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. ICDM 2018: 247-256 - [c7]Feiran Huang, Xiaoming Zhang, Chaozhuo Li, Zhoujun Li, Yueying He, Zhonghua Zhao:
Multimodal Network Embedding via Attention based Multi-view Variational Autoencoder. ICMR 2018: 108-116 - 2017
- [c6]Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li:
From Properties to Links: Deep Network Embedding on Incomplete Graphs. CIKM 2017: 367-376 - [c5]Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou:
Semi-Supervised Network Embedding. DASFAA (1) 2017: 131-147 - [c4]Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou:
PPNE: Property Preserving Network Embedding. DASFAA (1) 2017: 163-179 - [c3]Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao:
DTRP: A Flexible Deep Framework for Travel Route Planning. WISE (1) 2017: 359-375 - 2016
- [c2]Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou:
Detecting Context Dependent Messages in a Conversational Environment. COLING 2016: 1990-1999 - [i1]Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou:
Detecting Context Dependent Messages in a Conversational Environment. CoRR abs/1611.00483 (2016) - 2015
- [c1]Chaozhuo Li, Fang Wang, Yang Yang, Zhoujun Li, Xiaoming Zhang:
Exploring Social Network Information for Solving Cold Start in Product Recommendation. WISE (2) 2015: 276-283
Coauthor Index
[j25] [j18] [j16] [c63] [c53] [i38] [j11] [j10] [c52] [c50] [c48] [c47] [c45] [c44] [c43] [c41] [c37] [c36] [c35] [c33] [c32] [i25] [i24] [i23] [i22] [i21] [c31] [c30] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i20] [i19] [i18] [i16] [i15] [i14] [i12] [i11] [i10] [c19] [c18] [c17] [i9] [i8] [i7] [i6] [i5] [i4]
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