Xuezhi Cao - RankMe

72 papers A* 9A 5Journal 43Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations. CoRR Cheng Jiayang, Dongyu Ru, Lin Qiu, Yiyang Li, Xuezhi Cao, Yangqiu Song, Xunliang Cai
2026	J	`jnl`	LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning. CoRR Jianing Wang, Jianfei Zhang, Qi Guo, Linsen Guo, Rumei Li, Chao Zhang, Chong Peng, Cunguang Wang, Dengchang Zhao, Jiarong Shi, Jingang Wang, Liulin Feng, Mengxia Shen, Qi Li, Shengnan An, Shun Wang, Wei Shi, Xiangyu Xi, Xiaoyu Li, Xuezhi Cao, Yi Lu, Yunke Zhao, Zhengyu Chen, Zhimin Lin, Wei Wang, Peng Pei, Xunliang Cai
2025	J	`jnl`	AMO-Bench: Large Language Models Still Struggle in High School Math Competitions. CoRR Shengnan An, Xunliang Cai, Xuezhi Cao, Xiaoyu Li, Yehao Lin, Junlin Liu, Xinxuan Lv, Dan Ma, Xuanlin Wang, Ziwen Wang, Shuang Zhou
2025	J	`jnl`	Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese. CoRR Xihuai Wang, Ziyi Zhao, Siyu Ren, Shao Zhang, Song Li, Xiaoyu Li, Ziwen Wang, Lin Qiu, Guanglu Wan, Xuezhi Cao, Xunliang Cai, Weinan Zhang
2025	J	`jnl`	Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation. CoRR Lingyue Fu, Bolun Zhang, Hao Guan, Yaoming Zhu, Lin Qiu, Weiwen Liu, Xuezhi Cao, Xunliang Cai, Weinan Zhang, Yong Yu
2025	J	`jnl`	CATArena: Evaluation of LLM Agents through Iterative Tournament Competitions. CoRR Lingyue Fu, Xin Ding, Yaoming Zhu, Shao Zhang, Lin Qiu, Weiwen Liu, Weinan Zhang, Xuezhi Cao, Xunliang Cai, Jiaxin Ding, Yong Yu
2025	J	`jnl`	CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark. CoRR Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Jun Xu, Zongyu Wang, Lin Qiu, Xunliang Cai, Xuezhi Cao, Weiwen Liu, Weinan Zhang, Yong Yu
2025	J	`jnl`	EvalTalker: Learning to Evaluate Real-Portrait-Driven Multi-Subject Talking Humans. CoRR Yingjie Zhou, Xilei Zhu, Siyu Ren, Ziyi Zhao, Ziwen Wang, Farong Wen, Yu Zhou, Jiezhang Cao, Xiongkuo Min, Fengjiao Chen, Xiaoyu Li, Xuezhi Cao, Guangtao Zhai, Xiaohong Liu
2025	J	`jnl`	Friend or Foe: How LLMs' Safety Mind Gets Fooled by Intent Shift Attack. CoRR Peng Ding, Jun Kuang, Wen Sun, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2025	A*	`conf`	HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs. ACM Multimedia Zijian Zhang, Xuecheng Wu, Danlei Huang, Siyu Yan, Chong Peng, Xuezhi Cao
2025	J	`jnl`	HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs. CoRR Zijian Zhang, Xuecheng Wu, Danlei Huang, Siyu Yan, Chong Peng, Xuezhi Cao
2025	A*	`conf`	I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking. ACM Multimedia Ziyan Liu, Junwen Li, Kaiwen Li, Tong Ruan, Chao Wang, Xinyan He, Zongyu Wang, Xuezhi Cao, Jingping Liu
2025	J	`jnl`	I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking. CoRR Ziyan Liu, Junwen Li, Kaiwen Li, Tong Ruan, Chao Wang, Xinyan He, Zongyu Wang, Xuezhi Cao, Jingping Liu
2025	—	`conf`	Instance-level Randomization: Toward More Stable LLM Evaluations. EMNLP (Findings) Yiyang Li, Yonghuang Wu, Ying Luo, Liangtai Sun, Zishu Qin, Lin Qiu, Xuezhi Cao, Xunliang Cai
2025	J	`jnl`	Instance-level Randomization: Toward More Stable LLM Evaluations. CoRR Yiyang Li, Yonghuang Wu, Ying Luo, Liangtai Sun, Zishu Qin, Lin Qiu, Xuezhi Cao, Xunliang Cai
2025	J	`jnl`	KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration. CoRR Nan Wang, Yongqi Fan, Yansha Zhu, Zongyu Wang, Xuezhi Cao, Xinyan He, Haiyun Jiang, Tong Ruan, Jingping Liu
2025	—	`conf`	Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. ACL (1) Shao Zhang, Xihuai Wang, Wenhao Zhang, Chaoran Li, Junru Song, Tingyu Li, Lin Qiu, Xuezhi Cao, Xunliang Cai, Wen Yao, Weinan Zhang, Xinbing Wang, Ying Wen
2025	J	`jnl`	Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. CoRR Shao Zhang, Xihuai Wang, Wenhao Zhang, Chaoran Li, Junru Song, Tingyu Li, Lin Qiu, Xuezhi Cao, Xunliang Cai, Wen Yao, Weinan Zhang, Xinbing Wang, Ying Wen
2025	A*	`conf`	MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. EMNLP Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo
2025	J	`jnl`	MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. CoRR Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo
2025	J	`jnl`	Making Mathematical Reasoning Adaptive. CoRR Zhejian Lai, Xiang Geng, Zhijun Wang, Yang Bai, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xuezhi Cao, Xunliang Cai, Shujian Huang
2025	—	`conf`	NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. CVPR Workshops Shuhao Han, Haotian Fan, Fangyuan Kong, Wenjie Liao, Chunle Guo, Chongyi Li, Radu Timofte, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Jianhui Sun, Xinli Yue, Tianyi Wang, Huan Hou, Junda Lu, Xinyang Huang, Zitang Zhou, Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao, Trong-Hieu Nguyen-Mau, Minh-Hoang Le, Minh-Khoa Le-Phan, Duy-Nam Ly, Hai-Dang Nguyen, Minh-Triet Tran, Yukang Lin, Yan Hong, Chuanbiao Song, Siyuan Li, Jun Lan, Zhichao Zhang, Xinyue Li, Wei Sun, Zicheng Zhang, Yunhao Li, Xiaohong Liu, Guangtao Zhai, Zitong Xu, Huiyu Duan, Jiarui Wang, Guangji Ma, Liu Yang, Lu Liu, Qiang Hu, Xiongkuo Min, Zichuan Wang, Zhenchen Tang, Bo Peng, Jing Dong, Fengbin Guan, Zihao Yu, Yiting Lu, Wei Luo, Xin Li, Minhao Lin, Haofeng Chen, Xuanxuan He, Kele Xu, Qisheng Xu, Zijian Gao, Tianjiao Wan, Bo-Cheng Qiu, Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Bo Yu, Zehao Wang, Da Mu, Mingxiu Chen, Junkang Fang, Huamei Sun, Wending Zhao, Zhiyu Wang, Wang Liu, Weikang Yu, Puhong Duan, Bin Sun, Xudong Kang, Shutao Li, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Jiarong He, Zhishan Qiao, Yongqing Huang, Zewen Chen, Zhe Pang, Juan Wang, Jian Guo, Zhizhuo Shao, Ziyu Feng, Bing Li, Weiming Hu, Hesong Li, Dehua Liu, Zeming Liu, Qingsong Xie, Ruichen Wang, Zhihao Li, Yuqi Liang, Jianqi Bi, Jun Luo, Junfeng Yang, Can Li, Jing Fu, Hongwei Xu, Mingrui Long, Lulin Tang
2025	J	`jnl`	NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. CoRR Shuhao Han, Haotian Fan, Fangyuan Kong, Wenjie Liao, Chunle Guo, Chongyi Li, Radu Timofte, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Jianhui Sun, Xinli Yue, Tianyi Wang, Huan Hou, Junda Lu, Xinyang Huang, Zitang Zhou, Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao, Trong-Hieu Nguyen-Mau, Minh-Hoang Le, Minh-Khoa Le-Phan, Duy-Nam Ly, Hai-Dang Nguyen, Minh-Triet Tran, Yukang Lin, Yan Hong, Chuanbiao Song, Siyuan Li, Jun Lan, Zhichao Zhang, Xinyue Li, Wei Sun, Zicheng Zhang, Yunhao Li, Xiaohong Liu, Guangtao Zhai, Zitong Xu, Huiyu Duan, Jiarui Wang, Guangji Ma, Liu Yang, Lu Liu, Qiang Hu, Xiongkuo Min, Zichuan Wang, Zhenchen Tang, Bo Peng, Jing Dong, Fengbin Guan, Zihao Yu, Yiting Lu, Wei Luo, Xin Li, Minhao Lin, Haofeng Chen, Xuanxuan He, Kele Xu, Qisheng Xu, Zijian Gao, Tianjiao Wan, Bo-Cheng Qiu, Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Bo Yu, Zehao Wang, Da Mu, Mingxiu Chen, Junkang Fang, Huamei Sun, Wending Zhao, Zhiyu Wang, Wang Liu, Weikang Yu, Puhong Duan, Bin Sun, Xudong Kang, Shutao Li, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Jiarong He, Zhishan Qiao, Yongqing Huang, Zewen Chen, Zhe Pang, Juan Wang, Jian Guo, Zhizhuo Shao, Ziyu Feng, Bing Li, Weiming Hu
2025	J	`jnl`	OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics. CoRR Yaoming Zhu, Junxin Wang, Yiyang Li, Lin Qiu, Zongyu Wang, Jun Xu, Xuezhi Cao, Yuhuai Wei, Mingshi Wang, Xunliang Cai, Rong Ma
2025	A*	`conf`	Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content. CVPR Zicheng Zhang, Tengchuan Kou, Shushi Wang, Chunyi Li, Wei Sun, Wei Wang, Xiaoyu Li, Zongyu Wang, Xuezhi Cao, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai
2025	J	`jnl`	Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content. CoRR Zicheng Zhang, Tengchuan Kou, Shushi Wang, Chunyi Li, Wei Sun, Wei Wang, Xiaoyu Li, Zongyu Wang, Xuezhi Cao, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai
2025	J	`jnl`	Q-REAL: Towards Realism and Plausibility Evaluation for AI-Generated Content. CoRR Shushi Wang, Zicheng Zhang, Chunyi Li, Wei Wang, Liya Ma, Fengjiao Chen, Xiaoyu Li, Xuezhi Cao, Guangtao Zhai, Xiaohong Liu
2025	J	`jnl`	R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? CoRR Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai
2025	J	`jnl`	SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures. CoRR Jiaming Wang, Zhe Tang, Yilin Jin, Peng Ding, Xiaoyu Li, Xuezhi Cao
2025	—	`conf`	TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs. CVPR Workshops Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao
2025	J	`jnl`	TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs. CoRR Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao
2025	J	`jnl`	UNO-Bench: A Unified Benchmark for Exploring the Compositional Law Between Uni-modal and Omni-modal in Omni Models. CoRR Chen Chen, Zeyang Hu, Fengjiao Chen, Liya Ma, Jiaxing Liu, Xiaoyu Li, Ziwen Wang, Xuezhi Cao, Xunliang Cai
2025	J	`jnl`	UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale? CoRR Fengjiao Chen, Minhao Jing, Weitao Lu, Yan Feng, Xiaoyu Li, Xuezhi Cao
2025	J	`jnl`	ViC-Bench: Benchmarking Visual-Interleaved Chain-of-Thought Capability in MLLMs with Free-Style Intermediate State Representations. CoRR Xuecheng Wu, Jiaxing Liu, Danlei Huang, Xiaoyu Li, Yifan Wang, Chen Chen, Liya Ma, Xuezhi Cao, Junxiao Xue
2025	J	`jnl`	Who's the MVP? A Game-Theoretic Evaluation Benchmark for Modular Attribution in LLM Agents. CoRR Yingxuan Yang, Bo Huang, Siyuan Qi, Chao Feng, Haoyi Hu, Yuxuan Zhu, Jinbo Hu, Haoran Zhao, Ziyi He, Xiao Liu, Zongyu Wang, Lin Qiu, Xuezhi Cao, Xunliang Cai, Yong Yu, Weinan Zhang
2025	—	`conf`	Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement. ACL (Findings) Peng Ding, Jun Kuang, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2025	J	`jnl`	Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement. CoRR Peng Ding, Jun Kuang, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Jiajun Chen, Shujian Huang
2024	—	`conf`	A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. NAACL-HLT Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
2024	—	`conf`	Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. LREC/COLING Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
2024	A*	`conf`	Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. ACM Multimedia Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang
2024	J	`jnl`	Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs. CoRR Peng Ding, Jingyu Wu, Jun Kuang, Dan Ma, Xuezhi Cao, Xunliang Cai, Shi Chen, Jiajun Chen, Shujian Huang
2024	J	`jnl`	Length Desensitization in Directed Preference Optimization. CoRR Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun Xu, Xuezhi Cao, Jingang Wang, Xunliang Cai
2023	J	`jnl`	A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. CoRR Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
2023	J	`jnl`	Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He
2023	A*	`conf`	Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He
2023	J	`jnl`	Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis. CoRR Dan Ma, Jun Xu, Zongyu Wang, Xuezhi Cao, Yunsen Xian
2023	J	`jnl`	Exchanging-based Multimodal Fusion with Transformer. CoRR Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
2023	J	`jnl`	FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. CoRR Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He
2023	J	`jnl`	Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition. CoRR Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu
2023	J	`jnl`	Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. IEEE Trans. Knowl. Data Eng. Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu
2023	—	`conf`	Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization. ACL (industry) Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu
2021	A	`conf`	DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CIKM Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He
2021	J	`jnl`	DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CoRR Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He
2021	J	`jnl`	Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. CoRR Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu
2020	—	`conf`	Iterative Strategy for Named Entity Recognition with Imperfect Annotations. NLPCC (2) Huimin Xu, Yunian Chen, Jian Sun, Xuezhi Cao, Rui Xie
2020	A	`conf`	Multi-modal Knowledge Graphs for Recommender Systems. CIKM Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, Kai Zheng
2020	—	`conf`	Table Fact Verification with Structure-Aware Transformer. EMNLP (1) Hongzhi Zhang, Yingyao Wang, Sirui Wang, Xuezhi Cao, Fuzheng Zhang, Zhongyuan Wang
2018	J	`jnl`	A Bootstrapping Framework With Interactive Information Modeling for Network Alignment. IEEE Access Xuezhi Cao, Weinan Zhang, Yong Yu
2018	J	`jnl`	A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks. CoRR Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
2018	A*	`conf`	A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. IEEE Symposium on Security and Privacy Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
2018	J	`jnl`	Collaborative Filtering with Graph-based Implicit Feedback. CoRR Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu
2018	A*	`conf`	Neural Link Prediction over Aligned Networks. AAAI Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu
2017	—	`conf`	IMAP: An iterative method for aligning protein-protein interaction networks. BIBM Xuezhi Cao, Zhiyu Chen, Xinyi Zhang, Yong Yu
2017	—	`conf`	Joint User Modeling Across Aligned Heterogeneous Sites Using Neural Networks. ECML/PKDD (1) Xuezhi Cao, Yong Yu
2016	A*	`conf`	A Complete & Comprehensive Movie Review Dataset (CCMR). SIGIR Xuezhi Cao, Weiyue Huang, Yong Yu
2016	A	`conf`	ASNets: A Benchmark Dataset of Aligned Social Networks for Cross-Platform User Modeling. CIKM Xuezhi Cao, Yong Yu
2016	A	`conf`	Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling. RecSys Yiming Liu, Xuezhi Cao, Yong Yu
2016	—	`conf`	BASS: A Bootstrapping Approach for Aligning Heterogenous Social Networks. ECML/PKDD (1) Xuezhi Cao, Yong Yu
2016	A	`conf`	Joint User Modeling across Aligned Heterogeneous Sites. RecSys Xuezhi Cao, Yong Yu
2015	—	`conf`	Recovering Cross-Device Connections via Mining IP Footprints with Ensemble Learning. ICDM Workshops Xuezhi Cao, Weiyue Huang, Yong Yu
2015	J	`jnl`	Revealing Multiple Layers of Hidden Community Structure in Networks. CoRR Kun He, Sucheta Soundarajan, Xuezhi Cao, John E. Hopcroft, Menglong Huang
2012	—	`conf`	News comments generation via mining microblogs. WWW (Companion Volume) Xuezhi Cao, Kailong Chen, Rui Long, Guoqing Zheng, Yong Yu