Qiang Zhang - RankMe

112 papers A* 30A 4Journal 61Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra. AAAI Yiwen Zhang, Keyan Ding, Yihang Wu, Xiang Zhuang, Yi Yang, Qiang Zhang, Huajun Chen
2026	J	`jnl`	Embodied Science: Closing the Discovery Loop with Agentic Embodied AI. CoRR Xiang Zhuang, Chenyi Zhou, Kehua Feng, Zhihui Zhu, Yunfan Gao, Yijie Zhong, Yichi Zhang, Junjie Huang, Keyan Ding, Lei Bai, Haofen Wang, Qiang Zhang, Huajun Chen
2026	J	`jnl`	Hierarchical agent reflection for aligning LLM reasoning with clinical diagnostic processes. Health Inf. Sci. Syst. Xinda Wang, Xiaotong Li, Deng Zhao, Kehua Feng, Lei Liang, Zhiqiang Zhang, Keyan Ding, Huajun Chen, Bo Wan, Qiang Zhang
2026	J	`jnl`	InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem. CoRR Shuofei Qiao, Yunxiang Wei, Xuehai Wang, Bin Wu, Boyang Xue, Ningyu Zhang, Hossein A. Rahmani, Yanshan Wang, Qiang Zhang, Keyan Ding, Jeff Z. Pan, Huajun Chen, Emine Yilmaz
2025	—	`conf`	Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning. ACL (1) Xiang Zhuang, Bin Wu, Jiyu Cui, Kehua Feng, Xiaotong Li, Huabin Xing, Keyan Ding, Qiang Zhang, Huajun Chen
2025	J	`jnl`	Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning. CoRR Xiang Zhuang, Bin Wu, Jiyu Cui, Kehua Feng, Xiaotong Li, Huabin Xing, Keyan Ding, Qiang Zhang, Huajun Chen
2025	J	`jnl`	Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra. CoRR Yiwen Zhang, Keyan Ding, Yihang Wu, Xiang Zhuang, Yi Yang, Qiang Zhang, Huajun Chen
2025	J	`jnl`	ClinDEF: A Dynamic Evaluation Framework for Large Language Models in Clinical Reasoning. CoRR Yuqi Tang, Jing Yu, Zichang Su, Kehua Feng, Zhihui Zhu, Libin Wang, Lei Liang, Qiang Zhang, Keyan Ding, Huajun Chen
2025	J	`jnl`	CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning. CoRR Kehua Feng, Keyan Ding, Zhihui Zhu, Lei Liang, Qiang Zhang, Huajun Chen
2025	A*	`conf`	Constrain Alignment with Sparse Autoencoders. ICML Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang
2025	A	`conf`	Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery. CIKM Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin
2025	J	`jnl`	ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization. CoRR Kehua Feng, Keyan Ding, Jing Yu, Menghan Li, Yuhao Wang, Tong Xu, Xinda Wang, Qiang Zhang, Huajun Chen
2025	—	`conf`	Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization. ACL (1) Yuhao Wang, Keyan Ding, Kehua Feng, Zeyuan Wang, Ming Qin, Xiaotong Li, Qiang Zhang, Huajun Chen
2025	J	`jnl`	Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization. CoRR Yuhao Wang, Keyan Ding, Kehua Feng, Zeyuan Wang, Ming Qin, Xiaotong Li, Qiang Zhang, Huajun Chen
2025	—	`conf`	EventRAG: Enhancing LLM Generation with Event Knowledge Graphs. ACL (1) Zairun Yang, Yilin Wang, Zhengyan Shi, Yuan Yao, Lei Liang, Keyan Ding, Emine Yilmaz, Huajun Chen, Qiang Zhang
2025	J	`jnl`	From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery. CoRR Jiaqi Wei, Yuejin Yang, Xiang Zhang, Yuhan Chen, Xiang Zhuang, Zhangyang Gao, Dongzhan Zhou, Guangshuai Wang, Zhiqiang Gao, Juntai Cao, Zijie Qiu, Xuming He, Qiang Zhang, Chenyu You, Shuangjia Zheng, Ning Ding, Wanli Ouyang, Nanqing Dong, Yu Cheng, Siqi Sun, Lei Bai, Bowen Zhou
2025	J	`jnl`	Knowledge-Augmented Long-CoT Generation for Complex Biomolecular Reasoning. CoRR Tianwen Lyu, Xiang Zhuang, Keyan Ding, Xinzhe Cao, Lei Liang, Wei Zhao, Qiang Zhang, Huajun Chen
2025	J	`jnl`	Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges. CoRR Yuqi Tang, Kehua Feng, Yunfeng Wang, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Keyan Ding
2025	J	`jnl`	RiOT: Efficient Prompt Refinement with Residual Optimization Tree. CoRR Chenyi Zhou, Zhengyan Shi, Yuan Yao, Lei Liang, Huajun Chen, Qiang Zhang
2025	A*	`conf`	SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models. ICLR Kehua Feng, Keyan Ding, Jing Yu, Yiwen Qu, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Huajun Chen
2025	—	`conf`	Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition. ACL (1) Kehua Feng, Keyan Ding, Hongzhi Tan, Kede Ma, Zhihua Wang, Shuangquan Guo, Yuzhou Cheng, Ge Sun, Guozhou Zheng, Qiang Zhang, Huajun Chen
2025	J	`jnl`	SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models. CoRR Jing Yu, Yuqi Tang, Kehua Feng, Mingyang Rao, Lei Liang, Zhiqiang Zhang, Mengshu Sun, Wen Zhang, Qiang Zhang, Keyan Ding, Huajun Chen
2025	J	`jnl`	SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration. CoRR Keyan Ding, Jing Yu, Junjie Huang, Yuchen Yang, Qiang Zhang, Huajun Chen
2025	J	`jnl`	SciToolAgent: a knowledge-graph-driven scientific agent for multitool integration. Nat. Comput. Sci. Keyan Ding, Jing Yu, Junjie Huang, Yuchen Yang, Qiang Zhang, Huajun Chen
2025	J	`jnl`	Scientific Large Language Models: A Survey on Biological & Chemical Domains. ACM Comput. Surv. Qiang Zhang, Keyan Ding, Tianwen Lv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen
2025	A*	`conf`	UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery. ICLR Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen
2025	J	`jnl`	UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery. CoRR Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen
2024	J	`jnl`	Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery. CoRR Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin
2024	—	`conf`	DET: A Dual-Encoding Transformer for Relational Graph Embedding. LREC/COLING Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen
2024	A*	`conf`	DePLM: Denoising Protein Language Models for Property Optimization. NeurIPS Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
2024	—	`conf`	Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning. EMNLP (Findings) Qingyu Yin, Xuzheng He, Chak Tou Leong, Fan Wang, Yanzhao Yan, Xiaoyu Shen, Qiang Zhang
2024	J	`jnl`	Diffusion-Based Graph Generative Methods. IEEE Trans. Knowl. Data Eng. Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin
2024	J	`jnl`	Diffusion-based graph generative methods. CoRR Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin
2024	J	`jnl`	Direct Preference Optimization Using Sparse Feature-Level Constraints. CoRR Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang
2024	—	`conf`	Enhancing Cross Text-Molecule Learning by Self-Augmentation. ACL (Findings) Yinuo Jiang, Xiang Zhuang, Keyan Ding, Qiang Zhang, Huajun Chen
2024	—	`conf`	Generating Multiple Choice Questions from Scientific Literature via Large Language Models. ICKG Shunyang Luo, Yuqi Tang, Mingyuan Jiang, Kehua Feng, Qiang Zhang, Keyan Ding
2024	J	`jnl`	InstructBioMol: Advancing Biomolecule Understanding and Design Following Human Instructions. CoRR Xiang Zhuang, Keyan Ding, Tianwen Lyu, Yinuo Jiang, Xiaotong Li, Zhuoyi Xiang, Zeyuan Wang, Ming Qin, Kehua Feng, Jike Wang, Qiang Zhang, Huajun Chen
2024	—	`conf`	InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. ACL (1) Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen
2024	A*	`conf`	Knowledge-aware Reinforced Language Models for Protein Directed Evolution. ICML Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen
2024	A*	`conf`	MKGL: Mastery of a Three-Word Language. NeurIPS Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen
2024	J	`jnl`	MKGL: Mastery of a Three-Word Language. CoRR Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen
2024	—	`conf`	MedIE-Instruct: A Comprehensive Instruction Dataset for Medical Information Extraction. ICKG Zhuoyi Xiang, Xinda Wang, Xiaodong Yan, Deng Zhao, Keyan Ding, Qiang Zhang
2024	—	`conf`	ProTeM: Unifying Protein Function Prediction via Text Matching. ICANN (8) Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding
2024	J	`jnl`	Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition. CoRR Kehua Feng, Keyan Ding, Kede Ma, Zhihua Wang, Qiang Zhang, Huajun Chen
2024	J	`jnl`	SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models. CoRR Kehua Feng, Keyan Ding, Weijie Wang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
2024	J	`jnl`	SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks. CoRR Tianhao Li, Jingyu Lu, Chuangxin Chu, Tianyu Zeng, Yujia Zheng, Mei Li, Haotian Huang, Bin Wu, Zuoxian Liu, Kai Ma, Xuejing Yuan, Xingkai Wang, Keyan Ding, Huajun Chen, Qiang Zhang
2024	J	`jnl`	Scientific Large Language Models: A Survey on Biological & Chemical Domains. CoRR Qiang Zhang, Keyan Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen
2024	A*	`conf`	StableMask: Refining Causal Masking in Decoder-only Transformer. ICML Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang
2024	J	`jnl`	StableMask: Refining Causal Masking in Decoder-only Transformer. CoRR Qingyu Yin, Xuzheng He, Xiang Zhuang, Yu Zhao, Jianhua Yao, Xiaoyu Shen, Qiang Zhang
2024	J	`jnl`	Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia
2023	—	`conf`	A Survey on Asking Clarification Questions Datasets in Conversational Systems. ACL (1) Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani
2023	J	`jnl`	A Survey on Asking Clarification Questions Datasets in Conversational Systems. CoRR Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani
2023	A	`conf`	Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. ECAI Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang
2023	A*	`conf`	Adaptive Compositional Continual Meta-Learning. ICML Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang
2023	J	`jnl`	Cross-Temporal Snapshot Alignment for Dynamic Networks. IEEE Trans. Knowl. Data Eng. Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
2023	—	`conf`	GenKIE: Robust Generative Multimodal Document Key Information Extraction. EMNLP (Findings) Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng
2023	J	`jnl`	GenKIE: Robust Generative Multimodal Document Key Information Extraction. CoRR Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng
2023	A*	`conf`	Graph Sampling-based Meta-Learning for Molecular Property Prediction. IJCAI Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen
2023	J	`jnl`	Graph Sampling-based Meta-Learning for Molecular Property Prediction. CoRR Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen
2023	J	`jnl`	InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. CoRR Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen
2023	J	`jnl`	Knowledge graph-enhanced molecular contrastive learning with functional prompt. Nat. Mac. Intell. Yin Fang, Qiang Zhang, Ningyu Zhang, Zhuo Chen, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen
2023	A*	`conf`	Learning Invariant Molecular Representation in Latent Discrete Space. NeurIPS Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen
2023	J	`jnl`	Learning Invariant Molecular Representation in Latent Discrete Space. CoRR Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen
2023	A*	`conf`	Multi-level Protein Structure Pre-training via Prompt Learning. ICLR Zeyuan Wang, Qiang Zhang, Shuangwei Hu, Haoran Yu, Xurui Jin, Zhichen Gong, Huajun Chen
2023	A*	`conf`	Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. NeurIPS Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen
2023	J	`jnl`	Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. CoRR Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen
2022	J	`jnl`	A Score-based Geometric Model for Molecular Dynamics Simulations. CoRR Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li
2022	—	`conf`	Deep Reinforcement Learning for Entity Alignment. ACL (Findings) Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen
2022	J	`jnl`	Deep Reinforcement Learning for Entity Alignment. CoRR Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen
2022	J	`jnl`	Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li
2022	—	`conf`	Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. ACL (1) Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz
2022	J	`jnl`	Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. CoRR Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz
2022	J	`jnl`	Illiquidity Comovement and Market Crisis. J. Syst. Sci. Complex. Qingduo Zeng, Qiang Zhang, Shancun Liu, Yaodong Yang
2022	J	`jnl`	Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer. CoRR Yin Fang, Qiang Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen
2022	J	`jnl`	MLysPRED: graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites. Briefings Bioinform. Yun Zuo, Yue Hong, Xiangxiang Zeng, Qiang Zhang, Xiangrong Liu
2022	A*	`conf`	Meta-Learning Helps Personalized Product Search. WWW Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
2022	A*	`conf`	Molecular Contrastive Learning with Chemical Element Knowledge Graph. AAAI Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen
2022	A*	`conf`	Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
2022	A*	`conf`	OntoProtein: Protein Pretraining With Gene Ontology Embedding. ICLR Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen
2022	J	`jnl`	OntoProtein: Protein Pretraining With Gene Ontology Embedding. CoRR Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Jiazhang Lian, Qiang Zhang, Huajun Chen
2022	J	`jnl`	Personalized, Sequential, Attentive, Metric-Aware Product Search. ACM Trans. Inf. Syst. Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
2022	J	`jnl`	Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li
2022	J	`jnl`	Prompt-Guided Injection of Conformation to Pre-trained Protein Model. CoRR Qiang Zhang, Zeyuan Wang, Yuqiang Han, Haoran Yu, Xurui Jin, Huajun Chen
2022	A*	`conf`	StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts. AAAI Zhengxiang Shi, Qiang Zhang, Aldo Lipani
2022	J	`jnl`	StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts. CoRR Zhengxiang Shi, Qiang Zhang, Aldo Lipani
2022	A*	`conf`	Understanding and Improving Knowledge Graph Embedding for Entity Alignment. ICML Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen
2022	J	`jnl`	Unleashing the Power of Transformer for Graphs. CoRR Lingbing Guo, Qiang Zhang, Huajun Chen
2021	J	`jnl`	3D-Transformer: Molecular Representation with Transformer in 3D Space. CoRR Fang Wu, Qiang Zhang, Dragomir R. Radev, Jiyu Cui, Wen Zhang, Huabin Xing, Ningyu Zhang, Huajun Chen
2021	—	`conf`	Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns. ECIR (2) Qiang Zhang, Jonathan Cook, Emine Yilmaz
2021	A*	`conf`	Gaussian Process with Graph Convolutional Kernel for Relational Learning. KDD Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
2021	A	`conf`	Learning Dynamic Embeddings for Temporal Knowledge Graphs. WSDM Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
2021	A*	`conf`	Learning Neural Point Processes with Latent Graphs. WWW Qiang Zhang, Aldo Lipani, Emine Yilmaz
2021	J	`jnl`	Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz
2021	J	`jnl`	Molecular Contrastive Learning with Chemical Element Knowledge Graph. CoRR Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen
2021	J	`jnl`	Principled Representation Learning for Entity Alignment. CoRR Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Qiang Zhang, Huajun Chen
2021	A*	`conf`	Slot Self-Attentive Dialogue State Tracking. WWW Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz
2021	J	`jnl`	Slot Self-Attentive Dialogue State Tracking. CoRR Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz
2021	A*	`conf`	Structure-Aware Random Fourier Kernel for Graphs. NeurIPS Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
2021	A*	`conf`	Variational Continual Bayesian Meta-Learning. NeurIPS Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
2021	A*	`conf`	Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia
2020	A	`conf`	BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang
2020	J	`jnl`	Order Execution Probability and Order Queue in Limit Order Markets. J. Syst. Sci. Complex. Qiang Zhang, Chao Wang, Shancun Liu, Yaodong Yang
2020	A*	`conf`	Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets. NeurIPS Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang
2020	A*	`conf`	Self-Attentive Hawkes Process. ICML Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz
2020	A*	`conf`	Towards Evaluating Veracity of Textual Statements on the Web. SIGIR Qiang Zhang
2019	A*	`conf`	From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz
2019	J	`jnl`	Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets. CoRR Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang
2019	A*	`conf`	Reply-Aided Detection of Misinformation via Bayesian Deep Learning. WWW Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz
2019	J	`jnl`	Self-Attentive Hawkes Processes. CoRR Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz
2018	J	`jnl`	Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series. CoRR Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu
2018	—	`conf`	Ranking-based Method for News Stance Detection. WWW (Companion Volume) Qiang Zhang, Emine Yilmaz, Shangsong Liang
2018	J	`jnl`	Variational Self-attention Model for Sentence Representation. CoRR Qiang Zhang, Shangsong Liang, Emine Yilmaz