| 2026 | ACL | Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart. | Kang Chen, Fan Yu, Junjie Nian, Sihan Zhao, Zhuoka Feng, Zijun Yao, Heng Wang, Minshen Yu, Yixin Cao |
| 2026 | ACL | Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents. | Zeping Li, Hongru Wang, Yiwen Zhao, Guanhua Chen, Yixia Li, Keyang Chen, Yixin Cao, Guangnan Ye, Hongfeng Chai, Zhenfei Yin |
| 2026 | ACL | CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization. | Zhongyuan Peng, Yifan Yao, Kaijing Ma, Shuyue Guo, Yizhe Li, Yichi Zhang, Chenchen Zhang, Yifan Zhang, Zhouliang Yu, Luming Li, Minghao Liu, Yihang Xia, Jiawei Shen, Yuchen Wu, Yixin Cao, Zhaoxiang Zhang, Wenhao Huang, Jiaheng Liu, Ge Zhang |
| 2026 | ACL | SCALER: Synthetic Scalable Adaptive Learning Environment for Reasoning. | Caijun Xu, Changyi Xiao, Zhongyuan Peng, Xinrun Wang, Yixin Cao |
| 2026 | ACL | PRISM: Probabilistic Reward Model with Inherent Structural Modeling. | Yuhang Zhou, Yixin Cao, Yuchen Ni, Shihan Dou, Xutian Chen, Ge Zhang, Xiang Liu, Guangnan Ye |
| 2026 | COCOON | Feedback Set Problems on Bounded-Degree (Planar) Graphs. | Tian Bai, Yixin Cao, Mingyu Xiao |
| 2026 | COCOON | Minimum Sum Set Cover: Structures and Algorithm. | Zhongyi Zhang, Yixin Cao |
| 2025 | AAAI | Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues. | Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin |
| 2025 | AAAI | S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners. | Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao |
| 2025 | ACL | Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. | Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu |
| 2025 | ACL | XFinBench: Benchmarking LLMs in Complex Financial Problem Solving and Reasoning. | Zhihan Zhang, Yixin Cao, Lizi Liao |
| 2025 | ACL | EvoWiki: Evaluating LLMs on Evolving Knowledge. | Wei Tang, Yixin Cao, Yang Deng, Jiahao Ying, Bo Wang, Yizhe Yang, Yuyue Zhao, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Yong Liao |
| 2025 | ACL | Multi-Programming Language Sandbox for LLMs. | Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Weikang Zhou, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Zhiheng Xi, Muling Wu, Rui Zheng, Changze Lv, Limao Xiong, Shaoqing Zhang, Lin Zhang, Wenyu Zhan, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang |
| 2025 | ACL | Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution. | Tao He, Hao Li, Jingchang Chen, Runxuan Liu, Yixin Cao, Lizi Liao, Zihao Zheng, Zheng Chu, Jiafeng Liang, Ming Liu, Bing Qin |
| 2025 | ACL | LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. | Jin Jiang, Yuchen Yan, Yang Liu, Jianing Wang, Shuai Peng, Xunliang Cai, Yixin Cao, Mengdi Zhang, Liangcai Gao |
| 2025 | ACL | Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings. | Yubo Ma, Jinsong Li, Yuhang Zang, Xiaobao Wu, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Haodong Duan, Jiaqi Wang, Yixin Cao, Aixin Sun |
| 2025 | ACL | Disentangling Language and Culture for Evaluating Multilingual Large Language Models. | Jiahao Ying, Wei Tang, Yiran Zhao, Yixin Cao, Yu Rong, Wenxuan Zhang |
| 2025 | ACL | Are LLMs Rational Investors? A Study on the Financial Bias in LLMs. | Yuhang Zhou, Yuchen Ni, Zhiheng Xi, Zhangyue Yin, Yu He, Gan Yunhui, Xiang Liu, Zhang Jian, Sen Liu, Xipeng Qiu, Yixin Cao, Guangnan Ye, Hongfeng Chai |
| 2025 | EMNLP | Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. | Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang |
| 2025 | ICLR | RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style. | Yantao Liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li |
| 2025 | ICLR | Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs. | Haowen Pan, Xiaozhi Wang, Yixin Cao, Zenglin Shi, Xun Yang, Juanzi Li, Meng Wang |
| 2025 | SIGIR | Long Context vs. RAG: Strategies for Processing Long Documents in LLMs. | Xinze Li, Yushi Bai, Bowen Jin, Fengbin Zhu, Liangming Pan, Yixin Cao |
| 2024 | ACL | Improving Large Language Models in Event Relation Logical Prediction. | Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li |
| 2024 | ACL | A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. | Wei Tang, Yixin Cao, Jiahao Ying, Bo Wang, Yuyue Zhao, Yong Liao, Peng Zhou |
| 2024 | ACL | Planning Like Human: A Dual-process Framework for Dialogue Planning. | Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin |
| 2024 | ACL | Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. | Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun |
| 2024 | ACL | Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers. | Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang, Meng Wang |
| 2024 | ACL | Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models. | Changyi Xiao, Yixin Cao |
| 2024 | ACL | Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts. | Jiahao Ying, Yixin Cao, Kai Xiong, Long Cui, Yidong He, Yongbin Liu |
| 2024 | ACL | Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. | Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua |
| 2024 | ACL | Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction. | Meishan Zhang, Hao Fei, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang |
| 2024 | COCOON | Minimum Sum Vertex Cover: Kernelization and Parameterized Algorithms. | Jingyi Liu, Yixin Cao, Ling Gai, Jianxin Wang |
| 2024 | EMNLP | Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. | Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu |
| 2024 | EMNLP | LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. | Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin |
| 2024 | EMNLP | SciAgent: Tool-augmented Language Models for Scientific Reasoning. | Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun |
| 2024 | EMNLP | QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism. | Bo Wang, Heyan Huang, Yixin Cao, Jiahao Ying, Wei Tang, Chong Feng |
| 2024 | EMNLP | Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation. | Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars |
| 2024 | EMNLP | LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. | Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan |
| 2024 | ICML | Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better. | Vicente Balmaseda, Ying Xu, Yixin Cao, Nate Veldt |
| 2024 | LATIN | Self-complementary (Pseudo-)Split Graphs. | Yixin Cao, Haowei Chen, Shenghua Wang |
| 2024 | MFCS | Switching Classes: Characterization and Computation. | Dhanyamol Antony, Yixin Cao, Sagartanu Pal, R. B. Sandeep |
| 2024 | NAACL | X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. | Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang |
| 2024 | Tencon | Adaptive Step Length Estimation and GNSS Integration to Improve PDR Accuracy. | Yixin Cao, Soya Tezuka, Yukihiro Kubo |
| 2023 | AAAI | Knowledge Graph Embedding by Normalizing Flows. | Changyi Xiao, Xiangnan He, Yixin Cao |
| 2023 | ACL | CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification. | Meiqi Chen, Yixin Cao, Yan Zhang, Zhiwei Liu |
| 2023 | ACL | Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. | Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun |
| 2023 | ACL | Few-shot Event Detection: An Empirical Study and a Unified View. | Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun |
| 2023 | ACL | Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. | Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua |
| 2023 | ACL | Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction. | Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen |
| 2023 | EMNLP | MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. | Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua |
| 2023 | EMNLP | Robust Prompt Optimization for Large Language Models Against Distribution Shifts. | Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua |
| 2023 | EMNLP | Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! | Yubo Ma, Yixin Cao, Yong Hong, Aixin Sun |
| 2023 | EMNLP | CoVariance-based Causal Debiasing for Entity and Relation Extraction. | Lin Ren, Yongbin Liu, Yixin Cao, Chunping Ouyang |
| 2023 | EMNLP | A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. | Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua |
| 2023 | EMNLP | Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. | Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin |
| 2023 | ESA | Enumerating Maximal Induced Subgraphs. | Yixin Cao |
| 2023 | IJCNLP | FollowupQG: Towards information-seeking follow-up question generation. | Yan Meng, Liangming Pan, Yixin Cao, Min-Yen Kan |
| 2023 | KDD | Context-aware Event Forecasting via Graph Disentanglement. | Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua |
| 2023 | MFCS | Modification Problems Toward Proper (Helly) Circular-Arc Graphs. | Yixin Cao, Hanchun Yuan, Jianxin Wang |
| 2022 | AAAI | Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning. | Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing |
| 2022 | ACL | Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. | Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou |
| 2022 | ACL | Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. | Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao |
| 2022 | ACL | MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. | Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao |
| 2022 | CIKM | Interactive Contrastive Learning for Self-Supervised Entity Alignment. | Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Lei Cao, Xin Wang, Haozhuang Liu, Yi Huang, Junlan Feng, Jing Wan, Juanzi Li, Ling Feng |
| 2022 | COLING | ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. | Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang |
| 2022 | EMNLP | R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. | Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao |
| 2022 | IJCNN | Deep Learning-Based User Privacy Settings Recommendation in Online Social Networks. | Qiongzan Ye, Yixin Cao, Yang Chen, Cong Li, Xiang Li |
| 2022 | NAACL | DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction. | Meihan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, Juanzi Li |
| 2022 | SIGIR | What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. | Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang |
| 2021 | ACL | Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. | Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang |
| 2021 | ACL | How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. | Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua |
| 2021 | ACL | Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition. | Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, Juanzi Li |
| 2021 | EMNLP | Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability. | Xin Lv, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Yichi Zhang, Zelin Dai |
| 2021 | WG | Complementation in T-perfect Graphs. | Yixin Cao, Shenghua Wang |
| 2020 | AAAI | Image Enhanced Event Detection in News Articles. | Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua |
| 2020 | ACL | Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. | Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua |
| 2020 | ACL | Improving Event Detection via Open-domain Trigger Knowledge. | Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li, Jun Xie |
| 2020 | EMNLP | Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. | Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua |
| 2020 | ICDE | Improving Neural Relation Extraction with Implicit Mutual Relations. | Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou |
| 2020 | WWW | Reinforced Negative Sampling over Knowledge Graph for Recommendation. | Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua |
| 2020 | SIGIR | Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. | Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua |
| 2020 | TAMC | Polynomial Kernels for Paw-Free Edge Modification Problems. | Yixin Cao, Yuping Ke, Hanchun Yuan |
| 2020 | WG | Characterization and Linear-Time Recognition of Paired Threshold Graphs. | Yixin Cao, Guozhen Rong, Jianxin Wang |
| 2019 | AAAI | Explainable Reasoning over Knowledge Graphs for Recommendation. | Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua |
| 2019 | ACL | Multi-Channel Graph Neural Network for Entity Alignment. | Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua |
| 2019 | EMNLP | Low-Resource Name Tagging Learned with Weakly Labeled Data. | Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji |
| 2019 | EMNLP | Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. | Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua |
| 2019 | FAW | Local Coloring: New Observations and New Reductions. | Jie You, Yixin Cao, Jianxin Wang |
| 2019 | ISAAC | Graph Searches and Their End Vertices. | Yixin Cao, Zhifeng Wang, Guozhen Rong, Jianxin Wang |
| 2019 | KDD | KGAT: Knowledge Graph Attention Network for Recommendation. | Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua |
| 2019 | WWW | Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. | Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua |
| 2019 | SIGIR | Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. | Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha |
| 2018 | COLING | Neural Collective Entity Linking. | Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu |
| 2018 | DASFAA | Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition. | Jiangtao Zhang, Juanzi Li, Xiao-Li Li, Yixin Cao, Lei Hou, Shuai Wang |
| 2018 | EMNLP | Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. | Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong |
| 2018 | ESA | A Polynomial Kernel for Diamond-Free Editing. | Yixin Cao, Ashutosh Rai, R. B. Sandeep, Junjie Ye |
| 2018 | FAW | Kernelization for P | Wenjun Li, Junjie Ye, Yixin Cao |
| 2018 | PAKDD | Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts. | Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou, Xiao-Li Li |
| 2018 | SODA | A Naive Algorithm for Feedback Vertex Set. | Yixin Cao |
| 2018 | WSDM | Sequential Recommendation with User Memory Networks. | Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha |
| 2017 | ACL | Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. | Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li |
| 2017 | IJCNLP | On Modeling Sense Relatedness in Multi-prototype Word Embedding. | Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li |
| 2017 | SODA | Minimum Fill-In: Inapproximability and Almost Tight Lower Bounds. | Yixin Cao, R. B. Sandeep |
| 2016 | SODA | Linear Recognition of Almost Interval Graphs. | Yixin Cao |
| 2016 | WG | Approximate Association via Dissociation. | Jie You, Jianxin Wang, Yixin Cao |
| 2015 | EMNLP | Name List Only? Target Entity Disambiguation in Short Texts. | Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, Jie Tang |
| 2015 | ICALP | Unit Interval Editing is Fixed-Parameter Tractable. | Yixin Cao |
| 2015 | WADS | A 2k-vertex Kernel for Maximum Internal Spanning Tree. | Wenjun Li, Jianxin Wang, Jianer Chen, Yixin Cao |
| 2014 | FAW | Direct and Certifying Recognition of Normal Helly Circular-Arc Graphs in Linear Time. | Yixin Cao |
| 2014 | WWW | The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF. | Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He |
| 2014 | SODA | Interval Deletion is Fixed-Parameter Tractable. | Yixin Cao, Dniel Marx |
| 2014 | STACS | Chordal Editing is Fixed-Parameter Tractable. | Yixin Cao, Dniel Marx |
| 2013 | FCT | An O *(1.84 k ) Parameterized Algorithm for the Multiterminal Cut Problem. | Yixin Cao, Jianer Chen, Jia-Hao Fan |
| 2013 | TAMC | On Parameterized and Kernelization Algorithms for the Hierarchical Clustering Problem. | Yixin Cao, Jianer Chen |