Ming Zhang

389 papers A* 66A 22B 12C 11Misc 8Journal 182Unranked 85
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Digital Compatible Offset Canceled Latch-Styled Sense Amplifier Used for PUF Sensing.
IEEE Trans. Circuits Syst. I Regul. Pap.
Zhen Zhang, Ming Zhang, Yin Zhang, Zhangqing He, Meilin Wan
2026 J jnl
A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang
2026 J jnl
AlphaPROBE: Alpha Mining via Principled Retrieval and On-graph biased evolution.
CoRR
Taian Guo, Haiyang Shen, Junyu Luo, Binqi Chen, Hongjun Ding, Jinsheng Huang, Luchen Liu, Yun Ma, Ming Zhang
2026 A* conf
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing.
AAAI
Yiyang Gu, Bohan Wu, Yifang Qin, Jiaru Tang, Rong-Cheng Tu, Zhiping Xiao, Taian Guo, Junyu Luo, Wei Ju, Xiao Luo, Dacheng Tao, Ming Zhang
2026 J jnl
DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs.
IEEE Trans. Multim.
Yiyang Gu, Zihao Chen, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Wei Ju, Chong Chen, Xian-Sheng Hua, Yifan Wang, Xiao Luo, Ming Zhang
2026 J jnl
DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise.
CoRR
Yusheng Zhao, Jiaye Xie, Qixin Zhang, Weizhi Zhang, Xiao Luo, Zhiping Xiao, Philip S. Yu, Ming Zhang
2026 J jnl
Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction.
CoRR
Wei Ju, Wei Zhang, Siyu Yi, Zhengyang Mao, Yifan Wang, Jingyang Yuan, Zhiping Xiao, Ziyue Qiao, Ming Zhang
2026 A* conf
KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.
WWW
Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju
2026 J jnl
LAES: A local adaptive edge-enhanced spectrogram method for unsupervised anomalous sound detection.
Signal Process.
Jiyu Lu, Wenbo Guan, Ming Zhang, Ta Li, Yonghong Yan
2026 A* conf
Long-Tailed Recognition of Evidential Experts for Graph-level Classification.
WWW
Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang
2026 J jnl
MEME: Modeling the Evolutionary Modes of Financial Markets.
CoRR
Taian Guo, Haiyang Shen, Junyu Luo, Zhongshi Xing, Hanchun Lian, Jinsheng Huang, Binqi Chen, Luchen Liu, Yun Ma, Ming Zhang
2026 J jnl
Robust Cross Supervision With Target Mining for Source-Free Graph Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Junyu Luo, Haoyu Tao, Xiao Luo, Yusheng Zhao, Zhiping Xiao, Dailan He, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2026 J jnl
SPOT: Spectral Optimal Transport for Graph Domain Generalization.
ACM Trans. Knowl. Discov. Data
Yusheng Zhao, Xiao Luo, Junyu Luo, Wei Ju, Zhonghui Gu, Zhiping Xiao, Xian-Sheng Hua, Ming Zhang
2026 A* conf
Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts.
WWW
Junyu Luo, Zixuan Ouyang, Xiao Luo, Hourun Li, Zhiping Xiao, Yifan Wang, Ming Zhang
2026 J jnl
Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers.
CoRR
Yusheng Zhao, Hourun Li, Bohan Wu, Jingyang Yuan, Meng Zhang, Yichun Yin, Lifeng Shang, Ming Zhang
2026 J jnl
Towards curriculum learning of multi-document summarization using difficulty-aware mixture-of-experts.
Appl. Soft Comput.
Ming Zhang, Lu Cheng, Wenbo Guan, Jun Zhou, Meilin Wan
2026 J jnl
TowerDNA: Fast and Accurate Graph Retrieval With Dividing, Contrasting and Alignment.
IEEE Trans. Knowl. Data Eng.
Junwei Yang, Yiyang Gu, Yifang Qin, Xiao Luo, Zhiping Xiao, Kangjie Zheng, Wei Ju, Xian-Sheng Hua, Ming Zhang
2025 J jnl
A Featureless Dual-Mode Latch-Based PUF.
IEEE Trans. Very Large Scale Integr. Syst.
Ruikang Liu, Min Song, Changzhen Yu, Zhen Zhang, Wei Duan, Dawei Li, Ming Zhang, Meilin Wan
2025 J jnl
A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook.
ACM Comput. Surv.
Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
2025 — conf
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
ACL (1)
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 J jnl
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
CoRR
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 J jnl
AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining.
CoRR
Hongjun Ding, Binqi Chen, Jinsheng Huang, Taian Guo, Zhengyang Mao, Guoyi Shao, Lutong Zou, Luchen Liu, Ming Zhang
2025 A* conf
Attention Bootstrapping for Multi-Modal Test-Time Adaptation.
AAAI
Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang
2025 J jnl
Attention Bootstrapping for Multi-Modal Test-Time Adaptation.
CoRR
Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang
2025 A* conf
CODE: Towards Partial Label Graph Learning via Coupled Dual Separation.
ACM Multimedia
Yiyang Gu, Taian Guo, Hang Zhou, Zihao Chen, Zhiping Xiao, Yifang Qin, Xiao Luo, Wei Ju, Yifan Wang, Ming Zhang
2025 A* conf
Cluster-guided Contrastive Class-imbalanced Graph Classification.
AAAI
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang
2025 J jnl
Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval.
IEEE Trans. Image Process.
Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang
2025 J jnl
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval.
CoRR
Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang
2025 A* conf
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.
ICML
Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo
2025 J jnl
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.
Trans. Mach. Learn. Res.
Pengyun Wang, Yadi Cao, Chris Russell, Yanxin Shen, Junyu Luo, Ming Zhang, Siyu Heng, Xiao Luo
2025 A* conf
Deep Graph Clustering with Disentangled Representation Learning.
ACM Multimedia
Yifan Wang, Yuntai Ding, Yiyang Gu, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 — conf
Digital Sobriety: Sustainable Use of Gen AI in Higher Computing Education.
CompEd (2)
Alison Clear, Tony Clear, John Impagliazzo, Resego Morakanyane, Rebecca Odom-Bartel, Ming Zhang
2025 A* conf
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.
AAAI
Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju
2025 J jnl
DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 J jnl
Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs.
CoRR
Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 — conf
Embracing Large Language Models in Traffic Flow Forecasting.
ACL (Findings)
Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang
2025 A* conf
ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models.
ICML
Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
2025 J jnl
ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models.
CoRR
Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
2025 — conf
Exploring the Effectiveness of Computing Curricular Recommendations.
CompEd (2)
Alison Clear, John Impagliazzo, Daniel Fokum, Zain Kazmi, Marcus Messer, Teresa Susana Mendes Pereira, Mohammad Polash, José Antonio Pow-Sang, Madison Thomas, Ming Zhang
2025 J jnl
FMC: Formalization of Natural Language Mathematical Competition Problems.
CoRR
Jiaxuan Xie, Chengwu Liu, Ye Yuan, Siqi Li, Zhiping Xiao, Ming Zhang
2025 — conf
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation.
ACL (1)
Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo
2025 J jnl
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation.
CoRR
Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo
2025 J jnl
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.
CoRR
Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu
2025 — conf
Future Matters for Present: Towards Effective Physical Simulation over Meshes.
KDD (1)
Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun
2025 J jnl
GMR-Rec: Graph mutual regularization learning for multi-domain recommendation.
Inf. Sci.
Yifan Wang, Yangzi Yang, Shuai Li, Yutao Xie, Zhiping Xiao, Ming Zhang, Wei Ju
2025 J jnl
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.
Sci. China Inf. Sci.
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2025 A* conf
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model.
AAAI
Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang
2025 — conf
HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning.
EMNLP (Findings)
Ruochang Li, Xiao Luo, Zhiping Xiao, Wei Ju, Ming Zhang
2025 — conf
How Do Large Language Models Perform in Dynamical System Modeling.
NAACL (Findings)
Xiao Luo, Binqi Chen, Haixin Wang, Zhiping Xiao, Ming Zhang, Yizhou Sun
2025 J jnl
Hypergraph Consistency Learning With Relational Distillation.
IEEE Trans. Multim.
Siyu Yi, Zhengyang Mao, Yifan Wang, Yiyang Gu, Zhiping Xiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 J jnl
Large Language Model Agent: A Survey on Methodology, Applications and Challenges.
CoRR
Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang
2025 J jnl
Learning Generalizable Contrastive Representations for Graph Zero-Shot Learning.
IEEE Trans. Multim.
Siyu Yi, Zhengyang Mao, Kangjie Zheng, Zhiping Xiao, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Yong-Dao Zhou, Ming Zhang, Wei Ju
2025 J jnl
Learning Knowledge-diverse Experts for Long-tailed Graph Classification.
ACM Trans. Knowl. Discov. Data
Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang
2025 J jnl
MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning.
CoRR
Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang
2025 J jnl
MASS: Multi-Agent Simulation Scaling for Portfolio Construction.
CoRR
Taian Guo, Haiyang Shen, Jinsheng Huang, Zhengyang Mao, Junyu Luo, Zhuoru Chen, Xuhui Liu, Bingyu Xia, Luchen Liu, Yun Ma, Ming Zhang
2025 J jnl
MATE: Masked optimal transport with dynamic selection for partial label graph learning.
Artif. Intell.
Yiyang Gu, Binqi Chen, Zihao Chen, Ziyue Qiao, Xiao Luo, Junyu Luo, Zhiping Xiao, Wei Ju, Ming Zhang
2025 — conf
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
NAACL (Long Papers)
Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
2025 — conf
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.
EMNLP (Findings)
Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 J jnl
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.
CoRR
Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 — conf
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.
ACL (1)
Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Yuxing Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng
2025 J jnl
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.
CoRR
Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Y. X. Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng
2025 J jnl
Negative Input Protection Design of Power Switch.
IEEE Trans. Circuits Syst. I Regul. Pap.
Meilin Wan, Zhou Wang, Yingchen Ma, Zhen Zhang, Ming Zhang, Yin Zhang, Zhangqing He
2025 J jnl
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.
ACM Trans. Inf. Syst.
Yifang Qin, Wei Ju, Yiyang Gu, Ziyue Qiao, Zhiping Xiao, Ming Zhang
2025 J jnl
Privacy and security in recommenders: an analytical review.
Artif. Intell. Rev.
Bolanle Adefowoke Ojokoh, Folasade Olubusola Isinkaye, Ming Zhang, Joshua Joshua Tom, Arome Junior Gabriel, Olaitan Afolabi, Bamidele Afolabi
2025 A* conf
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.
ICLR
Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
2025 — conf
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification.
ACL (1)
Chengwu Liu, Ye Yuan, Yichun Yin, Yan Xu, Xin Xu, Zaoyu Chen, Yasheng Wang, Lifeng Shang, Qun Liu, Ming Zhang
2025 J jnl
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification.
CoRR
Chengwu Liu, Ye Yuan, Yichun Yin, Yan Xu, Xin Xu, Zaoyu Chen, Yasheng Wang, Lifeng Shang, Qun Liu, Ming Zhang
2025 — conf
Semi-supervised Fine-tuning for Large Language Models.
NAACL (Findings)
Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang
2025 A* conf
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.
ICML
Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang
2025 J jnl
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.
CoRR
Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang
2025 A* conf
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs.
AAAI
Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang
2025 A* conf
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes.
ICML
Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang
2025 J jnl
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs.
CoRR
Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2024 J jnl
A Comprehensive Survey on Deep Graph Representation Learning.
Neural Networks
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
A Diffusion Model for POI Recommendation.
ACM Trans. Inf. Syst.
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
2024 J jnl
A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning.
CoRR
Ye Yuan, Chengwu Liu, Jingyang Yuan, Gongbo Sun, Siqi Li, Ming Zhang
2024 A* conf
A Survey of Data-Efficient Graph Learning.
IJCAI
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
2024 J jnl
A Survey of Data-Efficient Graph Learning.
CoRR
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
2024 J jnl
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
2024 J jnl
A Survey on Graph Neural Networks in Intelligent Transportation Systems.
CoRR
Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
2024 J jnl
A bioactivity foundation model using pairwise meta-learning.
Nat. Mac. Intell.
Bin Feng, Zequn Liu, Nan-Lan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang
2024 J jnl
An efficient loss function and deep learning approach for ranking stock returns in the absence of prior knowledge.
Inf. Process. Manag.
Jiahao Yang, Shuo Feng, Wenkai Zhang, Ming Zhang, Jun Zhou, Pengyuan Zhang
2024 J jnl
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2024 J jnl
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
CoRR
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
2024 J jnl
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
Inf. Fusion
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
2024 J jnl
Cluster-guided Contrastive Class-imbalanced Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang
2024 J jnl
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2024 J jnl
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.
CoRR
Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju
2024 J jnl
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning.
CoRR
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2024 A* conf
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics.
NeurIPS
Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang
2024 A* conf
ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling.
ICML
Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou
2024 J jnl
Embracing Large Language Models in Traffic Flow Forecasting.
CoRR
Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang
2024 J jnl
Enhancing the Reliability of SC PUF Through Optimal Capacitor Configuration.
IEEE Trans. Circuits Syst. I Regul. Pap.
Zhou Wang, Yin Zhang, Yingchen Ma, Ming Zhang, Zhangqing He, Meilin Wan
2024 — conf
Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency.
ACM TUR-C
Wei Ju, Siyu Yi, Ming Zhang
2024 J jnl
Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit.
Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang
2024 J jnl
From coarse to fine: Enhancing multi-document summarization with multi-granularity relationship-based extractor.
Inf. Process. Manag.
Ming Zhang, Jiyu Lu, Jiahao Yang, Jun Zhou, Meilin Wan, Xuejun Zhang
2024 J jnl
GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang
2024 J jnl
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation.
CoRR
Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang
2024 J jnl
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2024 A* conf
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
ICML
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Learning Graph ODE for Continuous-Time Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
2024 J jnl
MCRSpell: A metric learning of correct representation for Chinese spelling correction.
Expert Syst. Appl.
Chengzhang Li, Ming Zhang, Xuejun Zhang, Yonghong Yan
2024 J jnl
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
CoRR
Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
2024 — conf
Measuring Social Norms of Large Language Models.
NAACL-HLT (Findings)
Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang
2024 J jnl
Measuring Social Norms of Large Language Models.
CoRR
Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang
2024 A* conf
Measuring Vision-Language STEM Skills of Neural Models.
ICLR
Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang
2024 J jnl
Measuring Vision-Language STEM Skills of Neural Models.
CoRR
Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang
2024 A* conf
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective.
ICML
Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou
2024 J jnl
Multi-Scale Protein Language Model for Unified Molecular Modeling.
CoRR
Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou
2024 J jnl
Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment.
CoRR
Ming Zhang, Ke Chang, Yunfang Wu
2024 A* conf
PGODE: Towards High-quality System Dynamics Modeling.
ICML
Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun
2024 J jnl
Poisoning medical knowledge using large language models.
Nat. Mac. Intell.
Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang
2024 J jnl
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.
CoRR
Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang
2024 A* conf
Preparing Lessons for Progressive Training on Language Models.
AAAI
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
2024 J jnl
Preparing Lessons for Progressive Training on Language Models.
CoRR
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
2024 — ed.
Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, SIGCSE Virtual 2024, Virtual Event, NC, USA, December 5-8, 2024
SIGCSE Virtual (1)
Mohsen Dorodchi, Ming Zhang, Stephen Cooper
2024 — ed.
Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 2, SIGCSE Virtual 2024, Virtual Event, NC, USA, December 5-8, 2024
SIGCSE Virtual (2)
Mohsen Dorodchi, Ming Zhang, Stephen Cooper
2024 J jnl
ROUGE-SEM: Better evaluation of summarization using ROUGE combined with semantics.
Expert Syst. Appl.
Ming Zhang, Chengzhang Li, Meilin Wan, Xuejun Zhang, Qingwei Zhao
2024 A* conf
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
IJCAI
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang
2024 J jnl
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
CoRR
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang
2024 J jnl
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2024 J jnl
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response.
CoRR
Junyu Luo, Xiao Luo, Kaize Ding, Jingyang Yuan, Zhiping Xiao, Ming Zhang
2024 J jnl
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.
CoRR
Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
2024 J jnl
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang
2024 J jnl
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
CoRR
Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang
2024 J jnl
Separating the predictable part of returns with CNN-GRU-attention from inputs to predict stock returns.
Appl. Soft Comput.
Jiahao Yang, Ming Zhang, Ran Fang, Wenkai Zhang, Jun Zhou
2024 J jnl
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.
ACM Trans. Multim. Comput. Commun. Appl.
Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
2024 J jnl
Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR
Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
2024 J jnl
Towards Semi-Supervised Universal Graph Classification.
IEEE Trans. Knowl. Data Eng.
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
2024 J jnl
Undergraduate Computer Science Education in China.
Inroads
Yutong Liu, Qiao Xiang, Juan Chen, Ming Zhang, Jingdong Xu, Yuan Luo
2024 J jnl
Vision-Braille: An End-to-End Tool for Chinese Braille Image-to-Text Translation.
CoRR
Alan Wu, Ye Yuan, Ming Zhang
2023 J jnl
A Comprehensive Survey on Deep Graph Representation Learning.
CoRR
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang
2023 J jnl
A Diffusion model for POI recommendation.
CoRR
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
2023 J jnl
A Survey of Reasoning with Foundation Models.
CoRR
Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
2023 A* conf
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs.
NeurIPS
Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
2023 A* conf
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
ACM Multimedia
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 J jnl
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 J jnl
Development and validation of a preliminary clinical support system for measuring the probability of incident 2-year (pre)frailty among community-dwelling older adults: A prospective cohort study.
Int. J. Medical Informatics
Qinqin Liu, Liming Yang, Zhuming Shi, Jiaqi Yu, Huaxin Si, Yaru Jin, Yanhui Bian, Yanyan Li, Lili Ji, Xiaoxia Qiao, Wenyu Wang, Hongpeng Liu, Ming Zhang, Cuili Wang
2023 A conf
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.
WSDM
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
2023 A* conf
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
ICDE
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2023 J jnl
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
CoRR
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2023 J jnl
FIMO: A Challenge Formal Dataset for Automated Theorem Proving.
CoRR
Chengwu Liu, Jianhao Shen, Huajian Xin, Zhengying Liu, Ye Yuan, Haiming Wang, Wei Ju, Chuanyang Zheng, Yichun Yin, Lin Li, Ming Zhang, Qun Liu
2023 J jnl
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.
Neural Networks
Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang
2023 A* conf
GLCC: A General Framework for Graph-Level Clustering.
AAAI
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
2023 J jnl
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.
CoRR
Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow.
CoRR
Fang Sun, Zhihao Zhan, Hongyu Guo, Ming Zhang, Jian Tang
2023 A* conf
HOPE: High-order Graph ODE For Modeling Interacting Dynamics.
ICML
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Learning Graph ODE for Continuous-Time Sequential Recommendation.
CoRR
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
2023 Misc conf
Learning on Graphs under Label Noise.
ICASSP
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
2023 J jnl
Learning on Graphs under Label Noise.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
2023 — conf
MolXPT: Wrapping Molecules with Text for Generative Pre-training.
ACL (2)
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
2023 J jnl
MolXPT: Wrapping Molecules with Text for Generative Pre-training.
CoRR
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
2023 A* conf
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
ACM Multimedia
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
CoRR
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Trans. Mach. Learn. Res.
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
CoRR
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2023 J jnl
Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.
CoRR
Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang
2023 J jnl
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
CoRR
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2023 A* conf
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.
EMNLP
Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu
2023 J jnl
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.
CoRR
Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu
2023 J jnl
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
CoRR
Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023 J jnl
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
IEEE Trans. Big Data
Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023 J jnl
Towards Semi-supervised Universal Graph Classification.
CoRR
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
2023 Misc conf
Towards a Unified Training for Levenshtein Transformer.
ICASSP
Kangjie Zheng, Longyue Wang, Zhihao Wang, Binqi Chen, Ming Zhang, Zhaopeng Tu
2023 J jnl
Unsupervised graph-level representation learning with hierarchical contrasts.
Neural Networks
Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang
2023 J jnl
Zero-shot Node Classification with Graph Contrastive Embedding Network.
Trans. Mach. Learn. Res.
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
2022 — conf
AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation.
ECML/PKDD (1)
Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang
2022 — conf
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data.
ICONIP (3)
Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie
2022 — conf
Deep Graph Mutual Learning for Cross-domain Recommendation.
DASFAA (2)
Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang
2022 A* conf
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction.
SIGIR
Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang
2022 A* conf
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation.
AAAI
Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang
2022 J jnl
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.
CoRR
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
2022 A* conf
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.
ICDE
Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022 J jnl
End-to-End Rubbing Restoration Using Generative Adversarial Networks.
CoRR
Gongbo Sun, Zijie Zheng, Ming Zhang
2022 J jnl
Focus-Driven Contrastive Learniang for Medical Question Summarization.
CoRR
Ming Zhang, Shuai Dou, Ziyang Wang, Yunfang Wu
2022 J jnl
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.
Neural Networks
Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang
2022 J jnl
GLCC: A General Framework for Graph-level Clustering.
CoRR
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
2022 B conf
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors.
IJCNN
Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang
2022 A conf
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification.
WSDM
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
2022 J jnl
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification.
CoRR
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
2022 A* conf
Kernel-based Substructure Exploration for Next POI Recommendation.
ICDM
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
2022 J jnl
Kernel-based Substructure Exploration for Next POI Recommendation.
CoRR
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
2022 J jnl
Learning to Efficiently Propagate for Reasoning on Knowledge Graphs.
CoRR
Zhaocheng Zhu, Xinyu Yuan, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
2022 A* conf
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks.
EMNLP
Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang
2022 J jnl
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks.
CoRR
Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang
2022 — conf
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion.
EMNLP (Findings)
Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song
2022 J jnl
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion.
CoRR
Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song
2022 — conf
Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation.
NAACL-HLT (Findings)
Junwei Yang, Zequn Liu, Ming Zhang, Sheng Wang
2022 J jnl
Predicting long-term stock movements with fused textual features of Chinese research reports.
Expert Syst. Appl.
Ming Zhang, Jiahao Yang, Meilin Wan, Xuejun Zhang, Jun Zhou
2022 Misc conf
Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation.
ICASSP
Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian
2022 A* conf
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
IJCAI
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022 J jnl
TIER-A: Denoising Learning Framework for Information Extraction.
CoRR
Yongkang Li, Ming Zhang
2022 J jnl
scPretrain: multi-task self-supervised learning for cell-type classification.
Bioinform.
Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang
2021 J jnl
A New Message Expansion Structure for Full Pipeline SHA-2.
IEEE Trans. Circuits Syst. I Regul. Pap.
Yin Zhang, Zhangqing He, Meilin Wan, Muwen Zhan, Ming Zhang, Kuang Peng, Min Song, Haoshuang Gu
2021 J jnl
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.
CoRR
Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang
2021 — conf
Generate & Rank: A Multi-task Framework for Math Word Problems.
EMNLP (Findings)
Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu
2021 J jnl
Generate & Rank: A Multi-task Framework for Math Word Problems.
CoRR
Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu
2021 — conf
Graphine: A Dataset for Graph-aware Terminology Definition Generation.
EMNLP (1)
Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang
2021 J jnl
Graphine: A Dataset for Graph-aware Terminology Definition Generation.
CoRR
Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang
2021 — conf
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference.
EMNLP (1)
Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun
2020 A* conf
A Graph to Graphs Framework for Retrosynthesis Prediction.
ICML
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
2020 J jnl
A Graph to Graphs Framework for Retrosynthesis Prediction.
CoRR
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
2020 B conf
Augmented Bi-path Network for Few-shot Learning.
ICPR
Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang
2020 J jnl
Augmented Bi-path Network for Few-shot Learning.
CoRR
Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang
2020 A conf
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.
CIKM
Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang
2020 A* conf
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation.
ICLR
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
2020 J jnl
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation.
CoRR
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
2020 — conf
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction.
MICCAI (6)
Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu
2020 J jnl
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction.
CoRR
Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu
2020 A* conf
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks.
ACL
Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang
2020 A* conf
Multi-agent Trajectory Prediction with Fuzzy Query Attention.
NeurIPS
Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu
2020 J jnl
Multi-agent Trajectory Prediction with Fuzzy Query Attention.
CoRR
Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu
2020 Misc conf
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases.
AMIA
Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang
2020 J jnl
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases.
CoRR
Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang
2020 B conf
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction.
COLING
Yichun Yin, Chenguang Wang, Ming Zhang
2020 J jnl
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation.
CoRR
Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu
2020 C conf
STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention.
EDUCON
Ming Zhang, Shixing Liu, Yifan Wang
2020 — conf
Strategy of Relay Selection and Cooperative Jammer Beamforming in Physical Layer Security.
VTC Fall
Ming Zhang, Yong Shang, Yaohuan Zhao
2020 J jnl
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications.
CoRR
Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang
2019 A* conf
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision.
ICCV
Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu
2019 J jnl
An On-Chip Digital Monostable Multivibrator Using Inverter-based Delay Chains.
J. Circuits Syst. Comput.
Meilin Wan, Yin Zhang, Ming Zhang, Haoshuang Gu
2019 A conf
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.
CIKM
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
2019 J jnl
Combating Fake News: A Survey on Identification and Mitigation Techniques.
CoRR
Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
2019 J jnl
Combating Fake News: A Survey on Identification and Mitigation Techniques.
ACM Trans. Intell. Syst. Technol.
Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
2019 A conf
Computing Competencies and the CC2020 Project.
SIGCSE
Alison Clear, John Impagliazzo, Ming Zhang
2019 A conf
Computing Curricula 2020: Introduction and Community Engagement.
SIGCSE
Alison Clear, Allen S. Parrish, John Impagliazzo, Ming Zhang
2019 — conf
Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation.
CinC
Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang
2019 J jnl
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation.
CoRR
Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang
2019 J jnl
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning.
CoRR
Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang
2019 Misc conf
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
AMIA
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
2019 J jnl
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
CoRR
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
2019 J jnl
Learning to Answer Ambiguous Questions with Knowledge Graph.
CoRR
Yikai Zhu, Jianhao Shen, Ming Zhang
2019 J jnl
Learning to Customize Language Model for Generation-based dialog systems.
CoRR
Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang
2019 — conf
More Chinese women needed to hold up half the computing sky.
ACM TUR-C
Ming Zhang, Yichun Yin
2019 J jnl
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction.
CoRR
Yichun Yin, Chenguang Wang, Ming Zhang
2019 — conf
Predictive Multi-level Patient Representations from Electronic Health Records.
BIBM
Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang
2019 J jnl
Predictive Multi-level Patient Representations from Electronic Health Records.
CoRR
Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang
2019 — ed.
Proceedings of the ACM Conference on Global Computing Education, CompEd 2019, Chengdu,Sichuan, China, May 17-19, 2019
CompEd
Ming Zhang, Bo Yang, Steve Cooper, Andrew Luxton-Reilly
2019 J jnl
Providing personalized learning guidance in MOOCs by multi-source data analysis.
World Wide Web
Ming Zhang, Jile Zhu, Zhuo Wang, Yunfan Chen
2019 J jnl
Report on the First ACM Global Computing Education Conference (CompEd).
ACM SIGCSE Bull.
Ming Zhang, Stephen Cooper, Andrew Luxton-Reilly
2019 — conf
Secrecy Rate Optimization of Cellular Networks with Jamming Based on Imperfect Wiretap CSI.
VTC Spring
Ming Zhang, Yong Shang, Shiwei Yan, Yanbo Huang
2019 A conf
Session-Based Social Recommendation via Dynamic Graph Attention Networks.
WSDM
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang
2019 J jnl
Session-based Social Recommendation via Dynamic Graph Attention Networks.
CoRR
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang
2019 J jnl
Towards Open-Domain Named Entity Recognition via Neural Correction Models.
CoRR
Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang
2018 — conf
A Neural Architecture for Automated ICD Coding.
ACL (1)
Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing
2018 A* conf
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
IJCAI
Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan
2018 J jnl
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.
CoRR
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
2018 — conf
Chinese perspectives on IT education.
TURC
Bo Li, Haifeng Ke, Shuang Zhou, John Impagliazzo, Ming Zhang
2018 — conf
Compromised secrecy region with friendly jammers in heterogeneous cellular networks.
INFOCOM Workshops
Shiwei Yan, Yong Shang, Ming Zhang
2018 — conf
Emotion Analysis for the Upcoming Response in Open-Domain Human-Computer Conversation.
APWeb/WAIM Workshops
Xiang Li, Ming Zhang
2018 A conf
Global Awareness for Computing Educators and Scholars: (Abstract Only).
SIGCSE
Barbara Boucher Owens, Alison Clear, John Impagliazzo, Mirella M. Moro, Ming Zhang
2018 A conf
IT2017 Report: Implementing A Competency-Based Information Technology Program.
SIGCSE
Mihaela Sabin, John Impagliazzo, Hala Alrumaih, Cara Tang, Ming Zhang
2018 — conf
Joint Power Allocation and Match Access for Physical Security of Heterogeneous Cellular Networks.
VTC Spring
Shiwei Yan, Yong Shang, Xiguang Zhang, Ming Zhang
2018 A* conf
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction.
AAAI
Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
2018 J jnl
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction.
CoRR
Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
2018 J jnl
SIGCSE launches new conference on a global scale.
ACM SIGCSE Bull.
John Impagliazzo, Ming Zhang, Xi Wu
2018 A* conf
Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes.
AAAI
Yiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang
2018 J jnl
Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks.
Data Min. Knowl. Discov.
Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han
2017 — conf
A data-driven analysis of student efforts and improvements on a SPOC experiment.
ACM TUR-C
Ming Zhang, Jile Zhu
2017 A conf
An Attention-based Collaboration Framework for Multi-View Network Representation Learning.
CIKM
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
2017 J jnl
An Attention-based Collaboration Framework for Multi-View Network Representation Learning.
CoRR
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
2017 B conf
An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos.
EDM
Jile Zhu, Xiang Li, Zhuo Wang, Ming Zhang
2017 A conf
CC2020: A Vision on Computing Curricula.
SIGCSE
Alison Clear, Allen Parrish, Ming Zhang, Gerrit C. van der Veer
2017 A conf
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks.
CIKM
Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han
2017 — conf
Diversifying Neural Conversation Model with Maximal Marginal Relevance.
IJCNLP(2)
Yiping Song, Zhiliang Tian, Dongyan Zhao, Ming Zhang, Rui Yan
2017 A* conf
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension.
EMNLP
Yichun Yin, Yangqiu Song, Ming Zhang
2017 — conf
Hybrid small class teaching: dividing and conquering large computer systems classes.
ACM TUR-C
Yao Guo, Junlin Lu, Yifeng Chen, Ming Zhang, Wenxin Li
2017 Misc conf
IT2017 Report: Putting It to Work.
SIGITE
Mihaela Sabin, Svetlana Peltsverger, Bill Paterson, Ming Zhang, Hala Alrumaih
2017 — conf
Joint Emoji Classification and Embedding Learning.
APWeb/WAIM (2)
Xiang Li, Rui Yan, Ming Zhang
2017 — conf
MOOC student dropout: pattern and prevention.
ACM TUR-C
Yunfan Chen, Ming Zhang
2017 — conf
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings.
SemEval@ACL
Yichun Yin, Yangqiu Song, Ming Zhang
2017 A* conf
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks.
IJCAI
He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun
2017 A* conf
Socialized Word Embeddings.
IJCAI
Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang
2017 J jnl
Syntax Aware LSTM Model for Chinese Semantic Role Labeling.
CoRR
Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang
2017 — conf
Syntax Aware LSTM model for Semantic Role Labeling.
SPNLP@EMNLP
Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang
2017 — conf
Topic medical concept embedding: Multi-sense representation learning for medical concept.
BIBM
Feng Qian, Chengyue Gong, Luchen Liu, Lei Sha, Ming Zhang
2017 J jnl
Towards Automated ICD Coding Using Deep Learning.
CoRR
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing
2016 — conf
Chinese Couplet Generation with Neural Network Structures.
ACL (1)
Rui Yan, Cheng-Te Li, Xiaohua Hu, Ming Zhang
2016 J jnl
Context-aware Natural Language Generation with Recurrent Neural Networks.
CoRR
Jian Tang, Yifan Yang, Samuel Carton, Ming Zhang, Qiaozhu Mei
2016 A conf
Dialogue Session Segmentation by Embedding-Enhanced TextTiling.
INTERSPEECH
Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang
2016 J jnl
Dialogue Session Segmentation by Embedding-Enhanced TextTiling.
CoRR
Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang
2016 J jnl
EduBits.
Inroads
John Impagliazzo, Yan Timanovsky, Ming Zhang
2016 — conf
Game Development for Computer Science Education.
ITiCSE-WGR
Chris Johnson, Monica McGill, Durell Bouchard, Michael K. Bradshaw, Víctor A. Bucheli, Laurence D. Merkle, Michael James Scott, Elizabeth Sweedyk, Jesus Ángel Velázquez-Iturbide, Zhiping Xiao, Ming Zhang
2016 B conf
Global Perspectives on the Role of Two-Year/Technical/Junior Colleges in Computing Education.
ITiCSE
Cara Tang, Elizabeth K. Hawthorne, Cindy S. Tucker, Ernesto Cuadros-Vargas, Diana Cukierman, Simon, Ming Zhang
2016 J jnl
Less is More: Learning Prominent and Diverse Topics for Data Summarization.
CoRR
Jian Tang, Ming Zhang, Qiaozhu Mei
2016 A conf
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks.
SDM
Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang
2016 A* conf
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation.
IJCAI
Xiang Li, Lili Mou, Rui Yan, Ming Zhang
2016 J jnl
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation.
CoRR
Xiang Li, Lili Mou, Rui Yan, Ming Zhang
2016 B conf
Structured Knowledge Tracing Models for Student Assessment on Coursera.
L@S
Zhuo Wang, Jile Zhu, Xiang Li, Zhiting Hu, Ming Zhang
2016 A* conf
Text Classification with Heterogeneous Information Network Kernels.
AAAI
Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han
2016 J jnl
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems.
CoRR
Yiping Song, Rui Yan, Xiang Li, Dongyan Zhao, Ming Zhang
2016 A* conf
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction.
IJCAI
Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou
2016 J jnl
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction.
CoRR
Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou
2016 J jnl
Visualization Large-scale and High-dimensional Data.
CoRR
Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei
2016 A* conf
Visualizing Large-scale and High-dimensional Data.
WWW
Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei
2016 J jnl
World Knowledge as Indirect Supervision for Document Clustering.
CoRR
Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han
2016 J jnl
World Knowledge as Indirect Supervision for Document Clustering.
ACM Trans. Knowl. Discov. Data
Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han
2015 Misc conf
ACM/IEEE-CS Information Technology Curriculum 2017: A Status Update.
SIGITE
Mihaela Sabin, Hala Alrumaih, John Impagliazzo, Barry M. Lunt, Cara Tang, Ming Zhang
2015 — conf
Classifying Stances of Interaction Posts in Social Media Debate Sites.
ICIC (2)
Xiaosong Rong, Zhuo Wang, Ziqi Wang, Ming Zhang
2015 A* conf
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations.
IJCAI
Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang
2015 B conf
Educational Evaluation in the PKU SPOC Course "Data Structures and Algorithms".
L@S
Ming Zhang, Jile Zhu, Yanzhen Zou, Hongfei Yan, Dan Hao, Chuxiong Liu
2015 — conf
Feedback Model for Microblog Retrieval.
DASFAA (1)
Ziqi Wang, Ming Zhang
2015 A* conf
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.
KDD
Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han
2015 A* conf
KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks.
ICDM
Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han
2015 A* conf
LINE: Large-scale Information Network Embedding.
WWW
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
2015 J jnl
LINE: Large-scale Information Network Embedding.
CoRR
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
2015 — conf
Multinational Perspectives on Information Technology from Academia and Industry.
ITiCSE-WGR
Mihaela Sabin, John Impagliazzo, Hala Alrumaih, Brenda Byers, Daina Gudoniene, Margaret Hamilton, Vsevolod Kotlyarov, Barry M. Lunt, James W. McGuffee, Svetlana Peltsverger, Cara Tang, Barbara Viola, Ming Zhang
2015 A* conf
Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model.
IJCAI
Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu
2015 A* conf
Spectral Label Refinement for Noisy and Missing Text Labels.
AAAI
Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang
2014 J jnl
"Look Ma, No Hands!" A Parameter-Free Topic Model.
CoRR
Jian Tang, Ming Zhang, Qiaozhu Mei
2014 J jnl
A Probabilistic Approach to String Transformation.
IEEE Trans. Knowl. Data Eng.
Ziqi Wang, Gu Xu, Hang Li, Ming Zhang
2014 A conf
China's perspective from the viewpoint of computational thinking on CS1 for non-majors (abstract only).
SIGCSE
Ming Zhang, Bo Li, Ginnie Lo
2014 A* conf
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis.
AAAI
Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang
2014 J jnl
Undergraduate IT education in China.
Inroads
Ming Zhang, Long Zhang
2014 A* conf
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis.
ICML
Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang
2014 Misc conf
VeLoc: finding your car in the parking lot.
SenSys
Mingmin Zhao, Ruipeng Gao, Jiaxu Zhu, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Guojie Luo, Ming Zhang
2013 J jnl
A clique-superposition model for social networks.
Sci. China Inf. Sci.
Fei Yan, Shaowei Cai, Ming Zhang, Guojun Liu, Zhi-Hong Deng
2013 — conf
A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo).
BIBM
Junmin Zhao, Xiaohua Hu, Tingting He, Peng Li, Ming Zhang, Xianjun Shen
2013 — conf
Incorporating Hierarchical Dirichlet Process into Tag Topic Model.
CLSW
Ming Zhang, Tingting He, Fang Li, Li Peng
2013 C conf
Measuring Strength of Ties in Social Network.
APWeb
Dakui Sheng, Tao Sun, Sheng Wang, Ziqi Wang, Ming Zhang
2013 — conf
Mining protein complexes based on connected affinity clique extension.
BIBM
Peng Li, Xiaohua Hu, Tingting He, Junmin Zhao, Ming Zhang, Xianjun Shen
2013 A* conf
One theme in all views: modeling consensus topics in multiple contexts.
KDD
Jian Tang, Ming Zhang, Qiaozhu Mei
2013 — conf
Paraphrasing Adaptation for Web Search Ranking.
ACL (2)
Chenguang Wang, Nan Duan, Ming Zhou, Ming Zhang
2013 J jnl
Personalized search in digital libraries via spreading activation model.
Web Intell. Agent Syst.
Tao Sun, Ming Zhang, Fei Yan, Zhi-Hong Deng
2013 — conf
Should IT2008 be revised?
SIGITE Conference
Bill Paterson, Mary J. Granger, John Impagliazzo, Edward Sobiesk, Mark Stockman, Ming Zhang
2013 — conf
Supervised Topic Model with Consideration of User and Item.
AAAI (Late-Breaking Developments)
Sheng Wang, Fangtao Li, Ming Zhang
2013 A conf
Unexpected Relevance: An Empirical Study of Serendipity in Retweets.
ICWSM
Tao Sun, Ming Zhang, Qiaozhu Mei
2012 C conf
Integrating Temporal Usage Pattern into Personalized Tag Prediction.
APWeb
Lei Zhang, Jian Tang, Ming Zhang
2012 — conf
Please spread: recommending tweets for retweeting with implicit feedback.
DUBMMSM
Sheng Wang, Xiaobo Zhou, Ziqi Wang, Ming Zhang
2012 A* conf
We know what @you #tag: does the dual role affect hashtag adoption?
WWW
Lei Yang, Tao Sun, Ming Zhang, Qiaozhu Mei
2011 A* conf
A Fast and Accurate Method for Approximate String Search.
ACL
Ziqi Wang, Gu Xu, Hang Li, Ming Zhang
2011 J jnl
A trigram hidden Markov model for metadata extraction from heterogeneous references.
Inf. Sci.
Bolanle Adefowoke Ojokoh, Ming Zhang, Jian Tang
2011 — conf
Co-Ranking Multiple Entities in a Heterogeneous Network: Integrating Temporal Factor and Users' Bookmarks.
ICADL
Ming Zhang, Sheng Feng, Jian Tang, Bolanle Adefowoke Ojokoh, Guojun Liu
2011 A* conf
Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks.
AAAI
Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen
2011 — conf
Evolution of Social Networks: New Patterns and a New Generator.
C5
Fei Yan, Ming Zhang, Guojun Liu, Wenqing Wang, Zhi-Hong Deng
2011 A conf
Learning to rank audience for behavioral targeting in display ads.
CIKM
Jian Tang, Ning Liu, Jun Yan, Yelong Shen, Shaodan Guo, Bin Gao, Shuicheng Yan, Ming Zhang
2011 C conf
Let Other Users Help You Find Answers: A Collaborative Question-Answering Method with Continuous Markov Chain Model.
APWeb
Xiaolong Wang, Ming Zhang
2011 A conf
Participation Maximization Based on Social Influence in Online Discussion Forums.
ICWSM
Tao Sun, Wei Chen, Zhenming Liu, Yajun Wang, Xiaorui Sun, Ming Zhang, Chin-Yew Lin
2011 — conf
Recommendation Algorithm Based on Graph-Model Considering User Background Information.
C5
Ziqi Wang, Ming Zhang, Yuwei Tan, Wenqing Wang, Yuexiang Zhang, Ling Chen
2011 A conf
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach.
CIKM
Xiaolong Wang, Furu Wei, Xiaohua Liu, Ming Zhou, Ming Zhang
2011 A conf
User browsing behavior-driven web crawling.
CIKM
Minghai Liu, Rui Cai, Ming Zhang, Lei Zhang
2010 A* conf
A Novel Contrast Co-learning Framework for Generating High Quality Training Data.
ICDM
Zeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, Ming Zhang
2010 C conf
Adaptive Top-k Algorithm in SLCA-Based XML Keyword Search.
APWeb
Hang Yu, Zhi-Hong Deng, Yong-Qing Xiang, Ning Gao, Ming Zhang, Shiwei Tang
2010 — conf
Analysis of the structure and evolution of the co-borrowing network in Peking University library.
FSKD
Fei Yan, Xiaolong Wang, Ming Zhang, Zhi-Hong Deng
2010 C conf
Building Web Page Logical Structure Model towards Effective Metadata Extraction.
APWeb
Baoyao Zhou, Ming Zhang
2010 C conf
Graph-Based Recommendation on Social Networks.
APWeb
Ziqi Wang, Yuwei Tan, Ming Zhang
2010 — conf
Large-Scale Social Network Analysis Based on MapReduce.
CASoN
Guojun Liu, Ming Zhang, Fei Yan
2010 C conf
Recommendation for Movies and Stars Using YAGO and IMDB.
APWeb
Yajie Hu, Ziqi Wang, Wei Wu, Jianzhong Guo, Ming Zhang
2010 C conf
Recommended or Not Recommended? Review Classification through Opinion Extraction.
APWeb
Sheng Feng, Ming Zhang, Yanxing Zhang, Zhi-Hong Deng
2010 A conf
Undergraduate computer science education in China.
SIGCSE
Ming Zhang, Virginia Mary Lo
2010 — conf
Users' Book-Loan Behaviors Analysis and Knowledge Dependency Mining.
WAIM
Fei Yan, Ming Zhang, Jian Tang, Tao Sun, Zhi-Hong Deng, Long Xiao
2009 J jnl
A novel approach for multi-agent-based Intelligent Manufacturing System.
Inf. Sci.
Qinglin Guo, Ming Zhang
2009 — conf
Analyzing user's book-loan behaviors in Peking university library from social network perspective.
JCDL
Fei Yan, Ming Zhang, Tao Sun, Yang Lu, Naiyue Zhang, Long Xiao
2009 J jnl
Implement web learning environment based on data mining.
Knowl. Based Syst.
Qinglin Guo, Ming Zhang
2009 J jnl
Multi-documents Automatic Abstracting based on text clustering and semantic analysis.
Knowl. Based Syst.
Qinglin Guo, Ming Zhang
2009 J jnl
Question answering based on pervasive agent ontology and Semantic Web.
Knowl. Based Syst.
Qinglin Guo, Ming Zhang
2009 J jnl
Semantic information integration and question answering based on pervasive agent ontology.
Expert Syst. Appl.
Qinglin Guo, Ming Zhang
2008 — conf
A Paper Recommender for Scientific Literatures Based on Semantic Concept Similarity.
ICADL
Ming Zhang, Weichun Wang, Xiaoming Li
2008 B conf
A novel approach for fault diagnosis of steam turbine based on neural network and genetic algorithm.
IJCNN
Qinglin Guo, Ming Zhang
2008 — conf
Community Discovery Based on Social Actors' Interests and Social Relationships.
SKG
Fei Yan, Jing Jiang, Yang Lu, Qingjun Luo, Ming Zhang
2008 — conf
Energy-Predicted Shortest Routing Tree Algorithm in Wireless Sensor Networks.
ISICA
Ming Zhang, Chenglong Gong, Yuan Feng, Chao Liu
2008 — conf
Implement Web Learning System Based on Genetic Algorithm and Pervasive Agent Ontology.
ICIC (2)
Qinglin Guo, Ming Zhang
2008 A conf
Pfp: parallel fp-growth for query recommendation.
RecSys
Haoyuan Li, Yi Wang, Dong Zhang, Ming Zhang, Edward Y. Chang
2008 — conf
Question Answering System Based on Ontology and Semantic Web.
RSKT
Qinglin Guo, Ming Zhang
2008 — conf
Research on Intelligent Manufacturing System Based on Multi-Agent.
ICIRA (2)
Qinglin Guo, Ming Zhang
2007 — conf
A Context-Based Framework and Method for Learning Object Description and Search.
ICWL
Xiaofeng Du, William Song, Ming Zhang
2007 — conf
On Line Course Organization.
ICWL
Ming Zhang, Weichun Wang, Yi Zhou, Yu Yang, Yuhong Xiong, Xiaoming Li
2007 — conf
Recommending Scientific Literatures in a Collaborative Tagging Environment.
ICADL
Ping Yin, Ming Zhang, Xiaoming Li
2006 B conf
Mining Models of Composite Web Services for Performance Analysis.
DASFAA
Aiqiang Gao, Dongqing Yang, Shiwei Tang, Ming Zhang
2006 C conf
QoS-Driven Web Service Composition with Inter Service Conflicts.
APWeb
Aiqiang Gao, Dongqing Yang, Shiwei Tang, Ming Zhang
2005 — conf
A Semantic Metadata Catalog Service for Grid.
GCC
Kewei Wei, Ming Zhang, Yaping Zhu
2005 — conf
An Efficient Text Categorization Algorithm Based on Category Memberships.
FSKD (1)
Zhi-Hong Deng, Shi-Wei Tang, Ming Zhang
2005 — conf
DLOnto: A Semantic Information Model for Digital Libraries.
SKG
Ming Zhang, Zhi-Hong Deng, Shukai Ding, Dongqing Yang
2005 B conf
Finding Hidden Semantics Behind Reference Linkages : An Ontological Approach for Scientific Digital Libraries.
DASFAA
Peixiang Zhao, Ming Zhang, Dongqing Yang, Shiwei Tang
2005 — conf
GMA-PSMH: A Semantic Metadata Publish-Harvest Protocol for Dynamic Metadata Management Under Grid Environment.
ICADL
Yaping Zhu, Ming Zhang, Kewei Wei, Dongqing Yang
2005 — conf
Improving Text Categorization Using the Importance of Words in Different Categories.
CIS (1)
Zhi-Hong Deng, Ming Zhang
2005 B conf
Mining Frequent Ordered Patterns.
PAKDD
Zhi-Hong Deng, Cong-Rui Ji, Ming Zhang, Shi-Wei Tang
2005 — conf
Web Service Composition Using Integer Programming-based Models.
ICEBE
Aiqiang Gao, Dongqing Yang, Shiwei Tang, Ming Zhang
2005 — conf
Web Service Composition Using Markov Decision Processes.
WAIM
Aiqiang Gao, Dongqing Yang, Shiwei Tang, Ming Zhang
2004 C conf
A Comparative Study on Feature Weight in Text Categorization.
APWeb
Zhi-Hong Deng, Shiwei Tang, Dongqing Yang, Ming Zhang, Liyu Li, Kunqing Xie
2004 — conf
Metadata Extraction from Bibliographies Using Bigram HMM.
ICADL
Ping Yin, Ming Zhang, Zhi-Hong Deng, Dongqing Yang
2004 — conf
PKUSpace: A Collaborative Platform for Scientific Researching.
ICWL
Ming Zhang, Dongqing Yang, Zhi-Hong Deng, Ying Feng, Wenqing Wang, Peixiang Zhao, Sai Wu, Shu-an Wang, Shi-Wei Tang
2004 — conf
Understanding the Semantics in Reference Linkages: An Ontological Approach for Scientific Digital Libraries.
ICADL
Peixiang Zhao, Ming Zhang, Dongqing Yang, Shiwei Tang
2004 — conf
WebGIS-RBDL - A Rare Book Digital Library Supporting Spatio-Temporary Retrieval.
ICADL
Ming Zhang, Dongqing Yang, Zhi-Hong Deng, Sai Wu, Feng Li, Shiwei Tang
2003 B conf
Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube.
PAKDD
Chao Liu, Ming Zhang, Minrui Zheng, Yixin Chen
2002 — conf
A Linear Text Classification Algorithm Based on Category Relevance Factors.
ICADL
Zhi-Hong Deng, Shi-Wei Tang, Dongqing Yang, Ming Zhang, Xiao-Bin Wu, Meng Yang
2002 — conf
Exploring Spatial-Temporal Information in Digital Library.
NDDL
Ai-hua Wang, Ming Zhang, Dongqing Yang, Shi-Wei Tang
2002 — conf
Two Odds-Radio-Based Text Classification Algorithms.
WISE Workshops
Zhi-Hong Deng, Shi-Wei Tang, Dongqing Yang, Ming Zhang, Xiao-Bin Wu, Meng Yang