Wei Cheng - RankMe

196 papers A* 67A 11B 2C 1Misc 3Journal 89Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Actor-Curator: Co-adaptive Curriculum Learning via Policy-Improvement Bandits for RL Post-Training. CoRR Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Henry Peng Zou, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
2026	—	`conf`	DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. EACL (Findings) Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2026	J	`jnl`	Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Comput. Surv. Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2026	J	`jnl`	Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs. CoRR Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng, Wujiang Xu, Mengnan Du, Wei Cheng, Zhaoran Wang, Tianlong Chen, Dimitris N. Metaxas
2026	A*	`conf`	Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation. WWW Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Yanjie Fu, Haifeng Chen
2026	—	`conf`	Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. EACL (Findings) Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026	J	`jnl`	Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. CoRR Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026	A*	`conf`	SkillGen: Learning Domain Skills for In-Context Sequential Decision Making. AAAI Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao
2025	A*	`conf`	Chain-of-region: Visual Language Models Need Details for Diagram Analysis. ICLR Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen
2025	J	`jnl`	DISC: Dynamic Decomposition Improves LLM Inference Scaling. CoRR Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen
2025	J	`jnl`	DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. CoRR Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2025	J	`jnl`	Diversified Sampling Improves Scaling LLM inference. CoRR Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng
2025	J	`jnl`	DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions. ACM Trans. Knowl. Discov. Data Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2025	J	`jnl`	Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop. CoRR Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen
2025	A*	`conf`	F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. ICLR Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
2025	A*	`conf`	Harnessing Vision Models for Time Series Analysis: A Survey. IJCAI Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025	J	`jnl`	Harnessing Vision Models for Time Series Analysis: A Survey. CoRR Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025	J	`jnl`	Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection. CoRR Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu
2025	A*	`conf`	Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. ICLR Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2025	J	`jnl`	LM CoRR Xu Zheng, Zhuomin Chen, Esteban Schafir, Sipeng Chen, Hojat Allah Salehi, Haifeng Chen, Farhad Shirani, Wei Cheng, Dongsheng Luo
2025	J	`jnl`	Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation. CoRR Haoyue Bai, Haoyu Wang, Shengyu Chen, Zhengzhang Chen, Lu-An Tang, Wei Cheng, Haifeng Chen, Yanjie Fu
2025	—	`conf`	MixLLM: Dynamic Routing in Mixed Large Language Models. NAACL (Long Papers) Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025	J	`jnl`	MixLLM: Dynamic Routing in Mixed Large Language Models. CoRR Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025	J	`jnl`	Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting. CoRR ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni
2025	—	`conf`	Position Really Matters: Towards a Holistic Approach for Prompt Tuning. NAACL (Findings) Xianjun Yang, Wei Cheng, Xujiang Zhao, Wenchao Yu, Linda Ruth Petzold, Haifeng Chen
2025	J	`jnl`	SF CoRR Xu Zheng, Chaohao Lin, Sipeng Chen, Zhuomin Chen, Jimeng Shi, Wei Cheng, Jayantha Obeysekera, Jason Liu, Dongsheng Luo
2025	A*	`conf`	SFS: Smarter Code Space Search improves LLM Inference Scaling. ICLR Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2025	J	`jnl`	SkillGen: Learning Domain Skills for In-Context Sequential Decision Making. CoRR Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao
2025	J	`jnl`	SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search. CoRR Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
2025	A*	`conf`	TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. AAAI Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen
2025	J	`jnl`	TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. CoRR Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen
2025	—	`conf`	Uncertainty Propagation on LLM Agent. ACL (1) Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao
2025	A*	`conf`	Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. CVPR Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen
2025	J	`jnl`	Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. CoRR Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen
2025	A*	`conf`	xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. ICDM Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2025	J	`jnl`	xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. CoRR Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2024	—	`conf`	A Survey on Detection of LLMs-Generated Content. EMNLP (Findings) Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2024	J	`jnl`	Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. CoRR Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
2024	A*	`conf`	DALD: Improving Logits-based Detector without Logits from Black-box LLMs. NeurIPS Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
2024	A*	`conf`	DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton. ICML Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
2024	A*	`conf`	DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. ICLR Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen
2024	J	`jnl`	F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. CoRR Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
2024	J	`jnl`	Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. CoRR Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2024	J	`jnl`	Improving Logits-based Detector without Logits from Black-box LLMs. CoRR Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
2024	—	`conf`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. EMNLP (Findings) Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	—	`conf`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. VLDB Workshops Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	J	`jnl`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. CoRR Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	A	`conf`	Interpretable Imitation Learning with Dynamic Causal Relations. WSDM Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	A*	`conf`	Large Language Models Can Be Contextual Privacy Protection Learners. EMNLP Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng
2024	A*	`conf`	Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. KDD Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou
2024	J	`jnl`	PAC Learnability under Explanation-Preserving Graph Perturbations. CoRR Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo
2024	A*	`conf`	POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2024	A*	`conf`	Parametric Augmentation for Time Series Contrastive Learning. ICLR Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024	J	`jnl`	Parametric Augmentation for Time Series Contrastive Learning. CoRR Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024	A*	`conf`	Protecting Your LLMs with Information Bottleneck. NeurIPS Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
2024	J	`jnl`	Protecting Your LLMs with Information Bottleneck. CoRR Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
2024	—	`conf`	Pruning as a Domain-specific LLM Extractor. NAACL-HLT (Findings) Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024	J	`jnl`	Pruning as a Domain-specific LLM Extractor. CoRR Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024	J	`jnl`	SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. CoRR Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen
2024	J	`jnl`	Scattered Forest Search: Smarter Code Space Exploration with LLMs. CoRR Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2024	J	`jnl`	Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
2024	A*	`conf`	Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. ICLR Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2024	J	`jnl`	TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution. CoRR Wenyue Hua, Xianjun Yang, Zelong Li, Wei Cheng, Yongfeng Zhang
2024	—	`conf`	TrustAgent: Towards Safe and Trustworthy LLM-based Agents. EMNLP (Findings) Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang
2024	J	`jnl`	Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024	—	`conf`	Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2023	J	`jnl`	A Survey on Detection of LLMs-Generated Content. CoRR Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2023	J	`jnl`	Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao
2023	J	`jnl`	DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. CoRR Xianjun Yang, Wei Cheng, Linda R. Petzold, William Yang Wang, Haifeng Chen
2023	J	`jnl`	DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Dynamic Prompting: A Unified Framework for Prompt Tuning. CoRR Xianjun Yang, Wei Cheng, Xujiang Zhao, Linda R. Petzold, Haifeng Chen
2023	J	`jnl`	Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization. CoRR Xianjun Yang, Yan Li, Xinlu Zhang, Haifeng Chen, Wei Cheng
2023	A*	`conf`	FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Fractionation of neural reward processing into independent components by novel decoding principle. NeuroImage Shitong Xiang, Tianye Jia, Chao Xie, Zhichao Zhu, Wei Cheng, Gunter Schumann, Trevor W. Robbins, Jianfeng Feng
2023	—	`conf`	GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. ICKG Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023	J	`jnl`	GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. CoRR Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023	A*	`conf`	Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu
2023	J	`jnl`	Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	Misc	`conf`	Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Large Language Models Can Be Good Privacy Protection Learners. CoRR Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng
2023	—	`conf`	Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. EMNLP (Findings) Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	J	`jnl`	Open-ended Commonsense Reasoning with Unrestricted Answer Scope. CoRR Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	A*	`conf`	Personalized Federated Learning under Mixture of Distributions. ICML Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023	J	`jnl`	Personalized Federated Learning under Mixture of Distributions. CoRR Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023	J	`jnl`	Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2023	A*	`conf`	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	A*	`conf`	Time Series Contrastive Learning with Information-Aware Augmentations. AAAI Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Time Series Contrastive Learning with Information-Aware Augmentations. CoRR Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. CoRR Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023	A*	`conf`	Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. EMNLP Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu
2023	J	`jnl`	Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. CoRR Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu
2023	C	`conf`	Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning. FUSION Masanao Natsumeda, Takehiko Mizoguchi, Wei Cheng, Yuncong Chen, Haifeng Chen
2023	J	`jnl`	Zero-Shot Detection of Machine-Generated Codes. CoRR Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2022	A*	`conf`	CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. KDD Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong
2022	Misc	`conf`	DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning. ICASSP Zeyu Ma, Yuhang Guo, Xiao Luo, Chong Chen, Minghua Deng, Wei Cheng, Guangming Lu
2022	B	`conf`	Deep Federated Anomaly Detection for Multivariate Time Series Data. IEEE Big Data Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
2022	J	`jnl`	Deep Federated Anomaly Detection for Multivariate Time Series Data. CoRR Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
2022	J	`jnl`	Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning. IEEE Signal Process. Lett. Xiao Luo, Zeyu Ma, Wei Cheng, Minghua Deng
2022	A*	`conf`	Personalized Federated Learning via Heterogeneous Modular Networks. ICDM Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022	J	`jnl`	Personalized Federated Learning via Heterogeneous Modular Networks. CoRR Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022	J	`jnl`	SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022	Misc	`conf`	Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022	A*	`conf`	Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. ICLR Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen
2022	A*	`conf`	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2021	A*	`conf`	Aspect-based Sentiment Classification via Reinforcement Learning. ICDM Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
2021	A	`conf`	Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
2021	J	`jnl`	Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao
2021	A*	`conf`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	A*	`conf`	FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	—	`conf`	Identifying Darknet Vendor Wallets by Matching Feedback Reviews with Bitcoin Transactions. ICDM (Workshops) Xucan Chen, Wei Cheng, Marie Ouellet, Yuan Li, David Maimon, Yubao Wu
2021	A*	`conf`	InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
2021	J	`jnl`	InfoGCL: Information-Aware Graph Contrastive Learning. CoRR Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
2021	A	`conf`	Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
2021	A	`conf`	Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2021	A*	`conf`	Multi-Task Recurrent Modular Networks. AAAI Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
2021	—	`conf`	Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. EMNLP (Findings) Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang
2021	J	`jnl`	Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction. CoRR Zeyu Li, Wei Cheng, Reema Kshetramade, John Houser, Haifeng Chen, Wei Wang
2021	A*	`conf`	Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang
2021	—	`conf`	Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
2021	J	`jnl`	Unsupervised Document Embedding via Contrastive Augmentation. CoRR Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2021	A	`conf`	You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. CIKM Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang
2021	J	`jnl`	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2020	A*	`conf`	Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha
2020	A*	`conf`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	J	`jnl`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	J	`jnl`	Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
2020	A*	`conf`	Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
2020	A*	`conf`	Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
2020	A	`conf`	Interpretable Click-Through Rate Prediction through Hierarchical Attention. WSDM Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang
2020	J	`jnl`	Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2020	J	`jnl`	Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
2020	—	`conf`	Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. ECML/PKDD (3) Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020	A*	`conf`	Parameterized Explainer for Graph Neural Network. NeurIPS Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020	J	`jnl`	Parameterized Explainer for Graph Neural Network. CoRR Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020	A*	`conf`	Robust Graph Representation Learning via Neural Sparsification. ICML Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020	B	`conf`	Super-Resolution Coding Defense Against Adversarial Examples. ICMR Yanjie Chen, Likun Cai, Wei Cheng, Hao Wang
2020	A*	`conf`	T ICDM Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020	J	`jnl`	T CoRR Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020	A	`conf`	Temporal Context-Aware Representation Learning for Question Routing. WSDM Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen
2020	A*	`conf`	Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
2020	J	`jnl`	Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks. Entropy Likun Cai, Yanjie Chen, Ning Cai, Wei Cheng, Hao Wang
2020	A*	`conf`	You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen
2019	J	`jnl`	$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing. IEEE Trans. Neural Networks Learn. Syst. Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, Zhishan Guo
2019	A*	`conf`	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2019	A*	`conf`	Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
2019	A	`conf`	Deep Co-Clustering. SDM Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2019	A*	`conf`	Learning Robust Representations with Graph Denoising Policy Network. ICDM Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019	J	`jnl`	Learning Robust Representations with Graph Denoising Policy Network. CoRR Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019	J	`jnl`	Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. IEEE Trans. Neural Networks Learn. Syst. Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang
2019	A*	`conf`	Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang
2019	A*	`conf`	Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
2019	J	`jnl`	The multi-walker chain and its application in local community detection. Knowl. Inf. Syst. Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
2018	J	`jnl`	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. CoRR Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2018	A*	`conf`	Co-Regularized Deep Multi-Network Embedding. WWW Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
2018	A	`conf`	Collaborative Alert Ranking for Anomaly Detection. CIKM Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li
2018	J	`jnl`	ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE Trans. Knowl. Data Eng. Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
2018	A*	`conf`	De-biasing Covariance-Regularized Discriminant Analysis. IJCAI Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo
2018	—	`conf`	Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. ICLR (Poster) Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen
2018	A*	`conf`	Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. KDD Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao
2018	A*	`conf`	Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
2018	A*	`conf`	NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. KDD Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
2018	A*	`conf`	On Multi-query Local Community Detection. ICDM Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang
2017	A*	`conf`	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. IJCAI Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
2017	J	`jnl`	A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. CoRR Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
2017	A*	`conf`	AWDA: An Adaptive Wishart Discriminant Analysis. ICDM Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
2017	J	`jnl`	FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification. CoRR Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
2017	—	`conf`	Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi
2017	A*	`conf`	Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. IJCAI Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang
2017	J	`jnl`	Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
2017	A*	`conf`	Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. ICDM Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
2017	A*	`conf`	Multi-party Sparse Discriminant Learning. ICDM Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu
2017	A*	`conf`	Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
2017	J	`jnl`	Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
2016	J	`jnl`	CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. ACM Trans. Knowl. Discov. Data Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang
2016	J	`jnl`	HICC: an entropy splitting-based framework for hierarchical co-clustering. Knowl. Inf. Syst. Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
2016	A*	`conf`	Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. KDD Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang
2016	A*	`conf`	Self-Grouping Multi-network Clustering. ICDM Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
2016	J	`jnl`	Sparse regression models for unraveling group and individual associations in eQTL mapping. BMC Bioinform. Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang
2015	J	`jnl`	Fast and robust group-wise eQTL mapping using sparse graphical models. BMC Bioinform. Wei Cheng, Shi Yu, Xiang Zhang, Wei Wang
2015	A*	`conf`	Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang
2015	—	`—`	Toward Robust Group-Wise eQTL Mapping via Integrating Multi-Domain Heterogeneous Data. Wei Cheng
2014	J	`jnl`	Graph-regularized dual Lasso for robust eQTL mapping. Bioinform. Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang
2014	J	`jnl`	Searching Dimension Incomplete Databases. IEEE Trans. Knowl. Data Eng. Wei Cheng, Xiaoming Jin, Jian-Tao Sun, Xuemin Lin, Xiang Zhang, Wei Wang
2013	A*	`conf`	Flexible and robust co-regularized multi-domain graph clustering. KDD Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang
2013	—	`ch.`	Grid-Based Clustering. Data Clustering: Algorithms and Applications Wei Cheng, Wei Wang, Sandra Batista
2013	J	`jnl`	Spatio-temporal Granger causality: A new framework. NeuroImage Qiang Luo, Wenlian Lu, Wei Cheng, Pedro A. Valdés-Sosa, Xiaotong Wen, Mingzhou Ding, Jianfeng Feng
2012	A	`conf`	Dual Transfer Learning. SDM Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang
2012	A	`conf`	Hierarchical co-clustering based on entropy splitting. CIKM Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
2012	—	`conf`	Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. BCB Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang
2011	—	`conf`	Measuring Opinion Relevance in Latent Topic Space. SocialCom/PASSAT Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang
2010	A*	`conf`	Transfer Learning via Cluster Correspondence Inference. ICDM Mingsheng Long, Wei Cheng, Xiaoming Jin, Jianmin Wang, Dou Shen
2009	A*	`conf`	Probabilistic Similarity Query on Dimension Incomplete Data. ICDM Wei Cheng, Xiaoming Jin, Jian-Tao Sun