Chaozhuo Li

197 papers A* 53A 17B 5Journal 103Unranked 19
YearRankTypeTitle / Venue / Authors
2026 A* conf
Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS.
AAAI
Bingyu Yan, Xiaoming Zhang, Ziyi Zhou, Chaozhuo Li, Ruilin Zeng, Yirui Qi, Tianbo Wang, Litian Zhang
2026 J jnl
Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism.
Inf. Fusion
Jibing Gong, Jiquan Peng, Wei Wang, Wei Zhou, Chaozhuo Li, Philip S. Yu
2026 J jnl
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers.
CoRR
Songyang Liu, Chaozhuo Li, Chenxu Wang, Jinyu Hou, Zejian Chen, Litian Zhang, Zheng Liu, Qiwei Ye, Yiming Hei, Xi Zhang, Zhongyuan Wang
2026 — conf
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.
KDD (1)
Longzhu He, Chaozhuo Li, Peng Tang, Li Sun, Sen Su, Philip S. Yu
2026 J jnl
Fact in fragments: Deconstructing complex claims via LLM-based atomic fact extraction and verification.
Expert Syst. Appl.
Liwen Zheng, Chaozhuo Li, Zheng Liu, Feiran Huang, Haoran Jia, Zaisheng Ye, Xi Zhang
2026 J jnl
FineFake: A knowledge-enriched dataset for fine-grained multi-domain fake news detection.
Inf. Fusion
Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Erik Cambria, Chaozhuo Li
2026 J jnl
How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference.
CoRR
Songyang Liu, Chaozhuo Li, Rui Pu, Litian Zhang, Chenxu Wang, Zejian Chen, Yuting Zhang, Yiming Hei
2026 J jnl
Imbalanced Semi-Supervised Learning for WiFi Gesture Recognition via Dynamic Threshold-Based Spatio-Temporal Attention Networks.
IEEE Trans. Mob. Comput.
Qihua Feng, Chunhui Duan, Jiawei Xue, Chaozhuo Li, Feiran Huang, Xi Zhang, Jian Weng, Philip S. Yu
2026 J jnl
Jailbreaking LLMs & VLMs: Mechanisms, Evaluation, and Unified Defense.
CoRR
Zejian Chen, Chaozhuo Li, Chao Li, Xi Zhang, Litian Zhang, Yiming He
2026 J jnl
LANCET: Neural Intervention via Structural Entropy for Mitigating Faithfulness Hallucinations in LLMs.
CoRR
Chenxu Wang, Chaozhuo Li, Pengbo Wang, Litian Zhang, Songyang Liu, Ji Qi, Jiahui Hu, Yushan Cai, Hao Zhao, Rui Pu
2026 A* conf
MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting.
AAAI
Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang
2026 J jnl
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies.
CoRR
Chenxu Wang, Chaozhuo Li, Songyang Liu, Zejian Chen, Jinyu Hou, Ji Qi, Rui Li, Litian Zhang, Qiwei Ye, Zheng Liu, Xu Chen, Xi Zhang, Philip S. Yu
2026 J jnl
Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective.
CoRR
Rui Li, Zeyu Zhang, Xiaohe Bo, Quanyu Dai, Chaozhuo Li, Feng Wen, Xu Chen
2025 J jnl
Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining.
ACM Trans. Intell. Syst. Technol.
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Liying Kang, Jaeboum Kim, Jie Xu, Xi Zhang, Yan Zhang, Haohan Wang, Sunghun Kim
2025 J jnl
Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS.
CoRR
Bingyu Yan, Ziyi Zhou, Xiaoming Zhang, Chaozhuo Li, Ruilin Zeng, Yirui Qi, Tianbo Wang, Litian Zhang
2025 A* conf
Auto Encoding Neural Process for Multi-interest Recommendation.
AAAI
Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li
2025 J jnl
Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems.
CoRR
Bingyu Yan, Xiaoming Zhang, Litian Zhang, Lian Zhang, Ziyi Zhou, Dezhuang Miao, Chaozhuo Li
2025 J jnl
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning.
CoRR
Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang
2025 A* conf
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers.
AAAI
Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang
2025 J jnl
Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy.
Expert Syst. Appl.
Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong
2025 A* conf
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge.
EMNLP
Yi Sui, Chaozhuo Li, Chen Zhang, Dawei Song, Qiuchi Li
2025 J jnl
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge.
CoRR
Yi Sui, Chaozhuo Li, Chen Zhang, Dawei Song, Qiuchi Li
2025 J jnl
CTUSurv: A Cell-Aware Transformer-Based Network With Uncertainty for Survival Prediction Using Whole Slide Images.
IEEE Trans. Medical Imaging
Zhihao Tang, Lin Yang, Zongyi Chen, Li Liu, Chaozhuo Li, Ruanqi Chen, Xi Zhang, Qingfeng Zheng
2025 J jnl
Causal Structure Representation Learning of Unobserved Confounders in Latent Space for Recommendation.
ACM Trans. Inf. Syst.
Hangtong Xu, Yuanbo Xu, Chaozhuo Li, Fuzhen Zhuang
2025 A* conf
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection.
AAAI
Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li
2025 J jnl
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection.
CoRR
Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li
2025 J jnl
Contrastive learning with hard negatives for sentence embeddings.
Appl. Soft Comput.
Wenxiao Liu, Zihong Yang, Chaozhuo Li, Zijin Hong, Jianfeng Ma, Zhiquan Liu, Litian Zhang, Feiran Huang
2025 A* conf
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction.
IJCAI
Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang
2025 A* conf
DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models.
EMNLP
Rui Ha, Chaozhuo Li, Rui Pu, Litian Zhang, Xi Zhang, Sen Su
2025 J jnl
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.
CoRR
Longzhu He, Chaozhuo Li, Peng Tang, Lichao Sun, Sen Su, Philip S. Yu
2025 A* conf
Diffusion Guided Propagation Augmentation for Popularity Prediction.
IJCAI
Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang
2025 J jnl
Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction.
CoRR
Zhihao Tang, Chaozhuo Li, Litian Zhang, Xi Zhang
2025 J jnl
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation.
IEEE Trans. Knowl. Data Eng.
Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li
2025 J jnl
End-to-end privacy-preserving image retrieval in cloud computing via anti-perturbation attentive token-aware vision transformer.
Inf. Fusion
Qihua Feng, ZhiXun Lu, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu
2025 J jnl
Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification.
CoRR
Liwen Zheng, Chaozhuo Li, Zheng Liu, Feiran Huang, Haoran Jia, Zaisheng Ye, Xi Zhang
2025 J jnl
Federated graph transformer with mixture attentions for secure graph knowledge fusions.
Inf. Fusion
Zhi Li, Chaozhuo Li, Ming Li, Liqun Yang, Jian Weng
2025 A* conf
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling.
IJCAI
Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye
2025 A* conf
Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width.
WWW
Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao
2025 J jnl
From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control.
CoRR
Rui Ha, Chaozhuo Li, Rui Pu, Sen Su
2025 A* conf
From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction.
AAAI
Zhihao Tang, Xi Zhang, Chaozhuo Li
2025 A* conf
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training.
AAAI
Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang
2025 A* conf
Going Deeper into Locally Differentially Private Graph Neural Networks.
ICML
Longzhu He, Chaozhuo Li, Peng Tang, Sen Su
2025 A conf
Harnessing Counterfactual Reasoning for Explainable Multi-Modal Fact Verification with Large Language Models.
ICME
Chaozhuo Li, Hui Pang, Xi Zhang, Litian Zhang, Feiran Huang, Ming Lu
2025 J jnl
Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philip S. Yu, Jianxin Wang
2025 J jnl
Identifying the hierarchical emotional areas in the human brain through information fusion.
Inf. Fusion
Zhongyu Huang, Changde Du, Chaozhuo Li, Kaicheng Fu, Huiguang He
2025 J jnl
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training.
IEEE Trans. Knowl. Data Eng.
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu
2025 J jnl
Knowledge-aware multimodal pre-training for fake news detection.
Inf. Fusion
Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Philip S. Yu, Chaozhuo Li
2025 A conf
LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation.
CIKM
Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu
2025 J jnl
LLMs are Introvert.
CoRR
Litian Zhang, Xiaoming Zhang, Bingyu Yan, Ziyi Zhou, Bo Zhang, Zhenyu Guan, Xi Zhang, Chaozhuo Li
2025 J jnl
LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation.
IEEE Trans. Inf. Forensics Secur.
Zhi Li, Chaozhuo Li, Feiran Huang, Xi Zhang, Jian Weng, Philip S. Yu
2025 J jnl
Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Yuanbo Xu, Fuzhen Zhuang, En Wang, Chaozhuo Li, Jie Wu
2025 J jnl
Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection.
CoRR
Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Yibo Zhang, Zhenyu Guan, Chaozhuo Li, Philip S. Yu
2025 A conf
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.
WSDM
Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian
2025 — conf
LlmFixer: Fix the Helpfulness of Defensive Large Language Models.
EMNLP (Findings)
Zelong Yu, Xiaoming Zhang, Litian Zhang, Yu Yuan, Chaozhuo Li
2025 J jnl
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models.
CoRR
Chaozhuo Li, Pengbo Wang, Chenxu Wang, Litian Zhang, Zheng Liu, Qiwei Ye, Yuanbo Xu, Feiran Huang, Xi Zhang, Philip S. Yu
2025 A* conf
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning.
AAAI
Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang
2025 J jnl
Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width.
CoRR
Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Defu Lian, Yingxia Shao
2025 J jnl
Meta Recommendation With Robustness Improvement.
IEEE Trans. Knowl. Data Eng.
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie, Philip S. Yu
2025 J jnl
MirrorGuard: Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting.
CoRR
Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang
2025 A conf
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models.
WSDM
Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang
2025 — conf
ModalSync: Synchronizing User Behavior with Multimodal Features for Multimodal Pre-training Recommendation.
WWW (Companion Volume)
Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu
2025 J jnl
Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks.
CoRR
Yuefei Lyu, Chaozhuo Li, Xi Zhang, Tianle Zhang
2025 J jnl
Privacy-Preserving Image Retrieval in Cloud Computing via Adaptive Secret Keys and Self-Supervised Block-Augmented Pretraining.
IEEE Trans. Serv. Comput.
Qihua Feng, ZhiXun Lu, Litian Zhang, Chaozhuo Li, Feiran Huang, Jian Weng, Philip S. Yu
2025 J jnl
Reasoning Paths as Signals: Augmenting Multi-hop Fact Verification through Structural Reasoning Progression.
CoRR
Liwen Zheng, Chaozhuo Li, Haoran Jia, Xi Zhang
2025 — conf
Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval.
ACL (1)
Chaofan Li, Jianlyu Chen, Yingxia Shao, Chaozhuo Li, Quanqing Xu, Defu Lian, Zheng Liu
2025 J jnl
T3MAL: Test-Time Fast Adaptation for Robust Multi-Scale Information Diffusion Prediction.
CoRR
Wenting Zhu, Chaozhuo Li, Qingpo Yang, Xi Zhang, Philip S. Yu
2025 — conf
Test-Time Training for Graph Neural Networks.
DASFAA (3)
Yiqi Wang, Chaozhuo Li, Jianan Zhao, Rui Li
2025 J jnl
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs.
CoRR
Songyang Liu, Chaozhuo Li, Jiameng Qiu, Xi Zhang, Feiran Huang, Litian Zhang, Yiming Hei, Philip S. Yu
2025 J jnl
Two Birds with One Stone: Improving Factuality and Faithfulness of LLMs via Dynamic Interactive Subspace Editing.
CoRR
Pengbo Wang, Chaozhuo Li, Chenxu Wang, Liwen Zheng, Litian Zhang, Xi Zhang
2025 A* conf
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism.
WWW
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
2025 A* conf
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking.
AAAI
Bo Zhang, Jianghua Zhu, Chaozhuo Li, Hao Yu, Li Kong, Zhan Wang, Dezhuang Miao, Xiaoming Zhang, Junsheng Zhou
2025 — conf
When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning.
KDD (2)
Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang
2024 A* conf
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting.
EMNLP
Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang
2024 J jnl
Beyond Entity Alignment: Towards Complete Knowledge Graph Alignment via Entity-Relation Synergy.
CoRR
Xiaohan Fang, Chaozhuo Li, Yi Zhao, Qian Zang, Litian Zhang, Jiquan Peng, Xi Zhang, Jibing Gong
2024 J jnl
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
PLoS Comput. Biol.
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 A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. 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
2024 — conf
Context-Aware Structural Adaptive Graph Neural Networks.
PRICAI (1)
Jiakun Chen, Jie Xu, Jiahui Hu, LiQiang Qiao, Shuo Wang, Feiran Huang, Chaozhuo Li
2024 A* conf
Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training.
ACM Multimedia
Shiqin Liu, Chaozhuo Li, Xi Zhang, Minjun Zhao, Yuanbo Xu, Jiajun Bu
2024 — conf
Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank.
PRICAI (1)
Jiahui Hu, Jie Xu, Jiakun Chen, LiQiang Qiao, Jilu Wang, Feiran Huang, Chaozhuo Li
2024 J jnl
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing.
IEEE Trans. Circuits Syst. Video Technol.
Qihua Feng, Peiya Li, ZhiXun Lu, Chaozhuo Li, Zefan Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang, Jian Weng, Philip S. Yu
2024 A* conf
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning.
NeurIPS
Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang
2024 — conf
Evidence Retrieval is almost All You Need for Fact Verification.
ACL (Findings)
Liwen Zheng, Chaozhuo Li, Xi Zhang, Yuming Shang, Feiran Huang, Haoran Jia
2024 J jnl
Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs.
CoRR
Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Xi Zhang
2024 J jnl
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection.
CoRR
Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Xi Zhang, Chaozhuo Li
2024 A* conf
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
ICLR
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2024 A* conf
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
SIGIR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024 J jnl
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
CoRR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024 A* conf
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization.
ICML
Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen
2024 J jnl
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization.
CoRR
Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen
2024 J jnl
Growing Like a Tree: Finding Trunks From Graph Skeleton Trees.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
2024 J jnl
HNCSE: Advancing Sentence Embeddings via Hybrid Contrastive Learning with Hard Negatives.
CoRR
Wenxiao Liu, Zihong Yang, Chaozhuo Li, Zijin Hong, Jianfeng Ma, Zhiquan Liu, Litian Zhang, Feiran Huang
2024 A* conf
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
WWW
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024 J jnl
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs.
CoRR
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024 J jnl
Identifying the Hierarchical Emotional Areas in the Human Brain Through Information Fusion.
CoRR
Zhongyu Huang, Changde Du, Chaozhuo Li, Kaicheng Fu, Huiguang He
2024 — conf
Information Retrieval Meets Large Language Models.
WWW (Companion Volume)
Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie
2024 J jnl
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.
CoRR
Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Chaozhuo Li, Defu Lian
2024 A* conf
Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation.
ACM Multimedia
Litian Zhang, Xiaoming Zhang, Chaozhuo Li, Ziyi Zhou, Jiacheng Liu, Feiran Huang, Xi Zhang
2024 J jnl
PPMGS: An efficient and effective solution for distributed privacy-preserving semi-supervised learning.
Inf. Sci.
Zhi Li, Chaozhuo Li, Zhoujun Li, Jian Weng, Feiran Huang, Zhibo Zhou
2024 A* conf
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection.
AAAI
Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li
2024 J jnl
Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Jie Xu, Chaozhuo Li, Feiran Huang, Zhoujun Li, Xing Xie, Philip S. Yu
2024 A* conf
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation.
AAAI
Yijun Ma, Chaozhuo Li, Xiao Zhou
2024 A* conf
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.
SIGIR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
2024 J jnl
TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation.
ACM Trans. Inf. Syst.
Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong
2024 J jnl
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.
CoRR
Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu
2024 J jnl
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.
CoRR
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
2024 J jnl
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.
CoRR
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
2023 A* conf
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
NeurIPS
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
2023 A conf
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
CIKM
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
2023 A conf
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning.
SDM
Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang
2023 J jnl
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
ACM Trans. Inf. Syst.
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
2023 A* conf
Bayesian Active Causal Discovery with Multi-Fidelity Experiments.
NeurIPS
Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie
2023 A* conf
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
SIGIR
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong
2023 J jnl
Can Transformer and GNN Help Each Other?
CoRR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
2023 B conf
Clean-label Poisoning Attack against Fake News Detection Models.
IEEE Big Data
Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li
2023 A* conf
Continual Learning on Dynamic Graphs via Parameter Isolation.
SIGIR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023 J jnl
Continual Learning on Dynamic Graphs via Parameter Isolation.
CoRR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023 J jnl
ConvFormer: Revisiting Transformer for Sequential User Modeling.
CoRR
Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
2023 J jnl
Customized Graph Nerual Networks.
IEEE Data Eng. Bull.
Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang
2023 A conf
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
WSDM
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2023 J jnl
Explainable survival analysis with uncertainty using convolution-involved vision transformer.
Comput. Medical Imaging Graph.
Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang
2023 J jnl
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
CoRR
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2023 — conf
Generative Sentiment Transfer via Adaptive Masking.
PAKDD (4)
Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li
2023 J jnl
Generative Sentiment Transfer via Adaptive Masking.
CoRR
Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li
2023 A conf
Geometry Interaction Augmented Graph Collaborative Filtering.
CIKM
Jie Xu, Chaozhuo Li
2023 — conf
Hierarchical Graph Contrastive Learning.
ECML/PKDD (2)
Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang
2023 B conf
Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding.
WISE
Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li
2023 A conf
Improving Vision Transformers with Nested Multi-head Attentions.
ICME
Jiquan Peng, Chaozhuo Li, Yi Zhao, Yuting Lin, Xiaohan Fang, Jibing Gong
2023 A* conf
Learning on Large-scale Text-attributed Graphs via Variational Inference.
ICLR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2023 A* conf
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.
EMNLP
Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie
2023 A* conf
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
SIGIR
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023 A* conf
PASS: Personalized Advertiser-aware Sponsored Search.
KDD
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023 J jnl
Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting.
Inf.
Muzi Cui, Hao Jiang, Chaozhuo Li
2023 J jnl
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng.
Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu
2023 — conf
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
ACL (1)
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2023 J jnl
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
CoRR
Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2023 A* conf
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.
NeurIPS
Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
2023 A* conf
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs.
NeurIPS
Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang
2023 A* conf
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
WWW
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
2022 A* conf
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
SIGIR
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022 J jnl
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
CoRR
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022 A* conf
Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN.
ICDE
Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu
2022 J jnl
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing.
CoRR
Qihua Feng, Peiya Li, ZhiXun Lu, Chaozhuo Li, Zefang Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang
2022 J jnl
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
CoRR
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2022 A conf
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
CIKM
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2022 J jnl
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
CoRR
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2022 A* conf
Geometric Disentangled Collaborative Filtering.
SIGIR
Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang
2022 J jnl
Geometric Interaction Augmented Graph Collaborative Filtering.
CoRR
Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie
2022 A* conf
Going Deeper into Permutation-Sensitive Graph Neural Networks.
ICML
Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
2022 J jnl
Going Deeper into Permutation-Sensitive Graph Neural Networks.
CoRR
Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
2022 A* conf
HousE: Knowledge Graph Embedding with Householder Parameterization.
ICML
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 J jnl
HousE: Knowledge Graph Embedding with Householder Parameterization.
CoRR
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 A* conf
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
KDD
Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
2022 J jnl
Learning on Large-scale Text-attributed Graphs via Variational Inference.
CoRR
Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2022 A conf
Localized Graph Collaborative Filtering.
SDM
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang
2022 A* conf
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
WWW
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
2022 J jnl
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
CoRR
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang
2022 A* conf
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
EMNLP
Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie
2022 J jnl
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
CoRR
Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie
2022 A* conf
Reinforcement Subgraph Reasoning for Fake News Detection.
KDD
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
2022 J jnl
Test-Time Training for Graph Neural Networks.
CoRR
Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie
2022 J jnl
Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks.
IEEE Trans. Cybern.
Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu
2021 A* conf
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
SIGIR
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
2021 J jnl
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
CoRR
Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
2021 J jnl
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
CoRR
Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
2021 J jnl
Deep Attentive Multimodal Network Representation Learning for Social Media Images.
ACM Trans. Internet Techn.
Feiran Huang, Chaozhuo Li, Boyu Gao, Yun Liu, Sattam Alotaibi, Hao Chen
2021 J jnl
Dual self-attention with co-attention networks for visual question answering.
Pattern Recognit.
Yun Liu, Xiaoming Zhang, Qianyun Zhang, Chaozhuo Li, Feiran Huang, Xianghong Tang, Zhoujun Li
2021 J jnl
Gophormer: Ego-Graph Transformer for Node Classification.
CoRR
Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye
2021 J jnl
GraphFormers: GNN-nested Language Models for Linked Text Representation.
CoRR
Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie
2021 A* conf
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.
NeurIPS
Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie
2021 A conf
Hubness-aware User Identity Linkage.
CIKM
Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu
2021 — conf
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.
EMNLP (Findings)
Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen
2021 J jnl
Localized Graph Collaborative Filtering.
CoRR
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie
2021 J jnl
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR
Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu
2021 J jnl
Social Image Sentiment Analysis by Exploiting Multimodal Content and Heterogeneous Relations.
IEEE Trans. Ind. Informatics
Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu
2020 J jnl
Mixture distribution modeling for scalable graph-based semi-supervised learning.
Knowl. Based Syst.
Zhi Li, Chaozhuo Li, Liqun Yang, Philip S. Yu, Zhoujun Li
2019 A* conf
Adversarial Learning for Weakly-Supervised Social Network Alignment.
AAAI
Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li
2019 J jnl
Adversarial learning for multi-view network embedding on incomplete graphs.
Knowl. Based Syst.
Chaozhuo Li, Senzhang Wang, Dejian Yang, Philip S. Yu, Yanbo Liang, Zhoujun Li
2019 A* conf
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation.
SIGIR
Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
2019 — conf
Learning with Noisy Labels for Sentence-level Sentiment Classification.
EMNLP/IJCNLP (1)
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li
2019 J jnl
Learning with Noisy Labels for Sentence-level Sentiment Classification.
CoRR
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li
2019 B conf
MARS: Memory Attention-Aware Recommender System.
DSAA
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
2019 A conf
Multi-Hot Compact Network Embedding.
CIKM
Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li
2019 J jnl
Multi-Hot Compact Network Embedding.
CoRR
Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li
2019 J jnl
Network embedding by fusing multimodal contents and links.
Knowl. Based Syst.
Feiran Huang, Xiaoming Zhang, Jie Xu, Chaozhuo Li, Zhoujun Li
2019 A conf
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage.
CIKM
Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang
2019 J jnl
Sentiment analysis of social images via hierarchical deep fusion of content and links.
Appl. Soft Comput.
Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He
2019 J jnl
Visual-textual sentiment classification with bi-directional multi-level attention networks.
Knowl. Based Syst.
Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He
2018 A conf
Distribution Distance Minimization for Unsupervised User Identity Linkage.
CIKM
Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang
2018 B conf
Multimodal Network Embedding via Attention based Multi-view Variational Autoencoder.
ICMR
Feiran Huang, Xiaoming Zhang, Chaozhuo Li, Zhoujun Li, Yueying He, Zhonghua Zhao
2018 A conf
Optimizing Generalized Linear Models with Billions of Variables.
CIKM
Yanbo Liang, Yongyang Yu, Mingjie Tang, Chaozhuo Li, Weiqing Yang, Weichen Xu, Ruifeng Zheng
2018 A* conf
SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion.
ICDM
Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li
2017 — conf
DTRP: A Flexible Deep Framework for Travel Route Planning.
WISE (1)
Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao
2017 A conf
From Properties to Links: Deep Network Embedding on Incomplete Graphs.
CIKM
Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li
2017 — conf
PPNE: Property Preserving Network Embedding.
DASFAA (1)
Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou
2017 — conf
Semi-Supervised Network Embedding.
DASFAA (1)
Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou
2016 B conf
Detecting Context Dependent Messages in a Conversational Environment.
COLING
Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou
2016 J jnl
Detecting Context Dependent Messages in a Conversational Environment.
CoRR
Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou
2015 — conf
Exploring Social Network Information for Solving Cold Start in Product Recommendation.
WISE (2)
Chaozhuo Li, Fang Wang, Yang Yang, Zhoujun Li, Xiaoming Zhang