Chaozhuo Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
86
Venues
20
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
86 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting. | Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang |
| 2026 | AAAI | Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS. | Bingyu Yan, Xiaoming Zhang, Ziyi Zhou, Chaozhuo Li, Ruilin Zeng, Yirui Qi, Tianbo Wang, Litian Zhang |
| 2026 | ACL | From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control. | Rui Ha, Rui Pu, Chaozhuo Li, Li Sun, Sen Su |
| 2026 | ACL | 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 |
| 2026 | ACL | Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning. | Yi Sui, Chaozhuo Li, Dawei Song |
| 2026 | ACL | Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval. | Ruiran Yan, Wen Xiong, Ze Liu, Chaozhuo Li, Hao Liao, Defu Lian, Zheng Liu |
| 2026 | ACL | Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS. | Bingyu Yan, Xiaoming Zhang, Jinyu Hou, Chaozhuo Li, Ziyi Zhou, Yiming Hei, Litian Zhang |
| 2026 | KDD | Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. | Longzhu He, Chaozhuo Li, Peng Tang, Li Sun, Sen Su, Philip S. Yu |
| 2025 | AAAI | What Is a Good Question? Assessing Question Quality via Meta-Fact Checking. | Bo Zhang, Jianghua Zhu, Chaozhuo Li, Hao Yu, Li Kong, Zhan Wang, Dezhuang Miao, Xiaoming Zhang, Junsheng Zhou |
| 2025 | AAAI | Auto Encoding Neural Process for Multi-interest Recommendation. | Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li |
| 2025 | AAAI | Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers. | Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang |
| 2025 | AAAI | From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction. | Zhihao Tang, Xi Zhang, Chaozhuo Li |
| 2025 | AAAI | MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning. | Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang |
| 2025 | AAAI | Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection. | Ziyi Zhou, Xiaoming Zhang, Shenghan Tan, Litian Zhang, Chaozhuo Li |
| 2025 | AAAI | Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training. | Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang |
| 2025 | ACL | 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 |
| 2025 | CIKM | LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation. | Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu |
| 2025 | DASFAA | Test-Time Training for Graph Neural Networks. | Yiqi Wang, Chaozhuo Li, Jianan Zhao, Rui Li |
| 2025 | EMNLP | DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models. | Rui Ha, Chaozhuo Li, Rui Pu, Litian Zhang, Xi Zhang, Sen Su |
| 2025 | EMNLP | Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge. | Yi Sui, Chaozhuo Li, Chen Zhang, Dawei Song, Qiuchi Li |
| 2025 | EMNLP | LlmFixer: Fix the Helpfulness of Defensive Large Language Models. | Zelong Yu, Xiaoming Zhang, Litian Zhang, Yu Yuan, Chaozhuo Li |
| 2025 | ICML | Going Deeper into Locally Differentially Private Graph Neural Networks. | Longzhu He, Chaozhuo Li, Peng Tang, Sen Su |
| 2025 | IJCAI | Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction. | Chaozhuo Li, Zhihao Tang, Mingji Zhang, Zhiquan Liu, Litian Zhang, Xi Zhang |
| 2025 | IJCAI | Diffusion Guided Propagation Augmentation for Popularity Prediction. | Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang |
| 2025 | IJCAI | Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling. | Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye |
| 2025 | KDD | When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning. | Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang |
| 2025 | WWW | Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. | 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 | WWW | ModalSync: Synchronizing User Behavior with Multimodal Features for Multimodal Pre-training Recommendation. | Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu |
| 2025 | WWW | Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. | Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao |
| 2025 | WSDM | MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. | Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang |
| 2025 | WSDM | Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. | Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian |
| 2024 | AAAI | Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation. | Yijun Ma, Chaozhuo Li, Xiao Zhou |
| 2024 | AAAI | Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. | Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li |
| 2024 | ACL | Evidence Retrieval is almost All You Need for Fact Verification. | Liwen Zheng, Chaozhuo Li, Xi Zhang, Yuming Shang, Feiran Huang, Haoran Jia |
| 2024 | EMNLP | BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting. | Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang |
| 2024 | ICLR | Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. | Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang |
| 2024 | ICML | Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization. | Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen |
| 2024 | PRICAI | Context-Aware Structural Adaptive Graph Neural Networks. | Jiakun Chen, Jie Xu, Jiahui Hu, LiQiang Qiao, Shuo Wang, Feiran Huang, Chaozhuo Li |
| 2024 | PRICAI | Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank. | Jiahui Hu, Jie Xu, Jiakun Chen, LiQiang Qiao, Jilu Wang, Feiran Huang, Chaozhuo Li |
| 2024 | WWW | Information Retrieval Meets Large Language Models. | Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie |
| 2024 | WWW | 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, Sunghun Kim |
| 2024 | SIGIR | TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim |
| 2024 | SIGIR | GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim |
| 2023 | ACL | To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion. | Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie |
| 2023 | CIKM | Geometry Interaction Augmented Graph Collaborative Filtering. | Jie Xu, Chaozhuo Li |
| 2023 | CIKM | AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. | Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim |
| 2023 | EMNLP | Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. | Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie |
| 2023 | ICLR | Learning on Large-scale Text-attributed Graphs via Variational Inference. | Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang |
| 2023 | KDD | PASS: Personalized Advertiser-aware Sponsored Search. | 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 | PAKDD | Generative Sentiment Transfer via Adaptive Masking. | Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li |
| 2023 | WWW | xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. | Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin |
| 2023 | SIGIR | Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. | Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang |
| 2023 | SIGIR | Continual Learning on Dynamic Graphs via Parameter Isolation. | Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim |
| 2023 | SIGIR | 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, Jibing Gong |
| 2023 | WISE | Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding. | Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li |
| 2023 | WSDM | 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, Haohan Wang, Sunghun Kim |
| 2023 | SDM | Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. | Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang |
| 2022 | CIKM | Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. | Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim |
| 2022 | EMNLP | RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction. | Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie |
| 2022 | ICDE | Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN. | Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu |
| 2022 | ICML | Going Deeper into Permutation-Sensitive Graph Neural Networks. | Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He |
| 2022 | ICML | HousE: Knowledge Graph Embedding with Householder Parameterization. | 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 | KDD | Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. | Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang |
| 2022 | KDD | Reinforcement Subgraph Reasoning for Fake News Detection. | Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie |
| 2022 | WWW | Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. | 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 | SIGIR | Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. | Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie |
| 2022 | SIGIR | Geometric Disentangled Collaborative Filtering. | Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang |
| 2022 | SDM | Localized Graph Collaborative Filtering. | Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang |
| 2021 | CIKM | Hubness-aware User Identity Linkage. | Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu |
| 2021 | EMNLP | Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. | Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen |
| 2021 | SIGIR | AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. | Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang |
| 2019 | AAAI | Adversarial Learning for Weakly-Supervised Social Network Alignment. | Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li |
| 2019 | CIKM | Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. | Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang |
| 2019 | CIKM | Multi-Hot Compact Network Embedding. | Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li |
| 2019 | DSAA | MARS: Memory Attention-Aware Recommender System. | Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu |
| 2019 | EMNLP | Learning with Noisy Labels for Sentence-level Sentiment Classification. | Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li |
| 2019 | SIGIR | Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. | Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu |
| 2018 | CIKM | Optimizing Generalized Linear Models with Billions of Variables. | Yanbo Liang, Yongyang Yu, MingJie Tang, Chaozhuo Li, Weiqing Yang, Weichen Xu, Ruifeng Zheng |
| 2018 | CIKM | Distribution Distance Minimization for Unsupervised User Identity Linkage. | Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang |
| 2018 | ICDM | SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. | Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li |
| 2017 | CIKM | From Properties to Links: Deep Network Embedding on Incomplete Graphs. | Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li |
| 2017 | DASFAA | Semi-Supervised Network Embedding. | Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou |
| 2017 | DASFAA | PPNE: Property Preserving Network Embedding. | Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou |
| 2017 | WISE | DTRP: A Flexible Deep Framework for Travel Route Planning. | Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao |
| 2016 | COLING | Detecting Context Dependent Messages in a Conversational Environment. | Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou |
| 2015 | WISE | Exploring Social Network Information for Solving Cold Start in Product Recommendation. | Chaozhuo Li, Fang Wang, Yang Yang, Zhoujun Li, Xiaoming Zhang |