COT: Contextual Operating Tensor for Context-Aware Recommender Systems. - Qiang Liu 006; Shu Wu; Liang Wang 001 (AAAI, 2015)

Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. - Qiang Liu 006; Shu Wu; Liang Wang 001 (CIKM, 2015)

A Convolutional Click Prediction Model. - Qiang Liu 006; Feng Yu 001; Shu Wu; Liang Wang 001 (CIKM, 2015)

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. - Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (AAAI, 2016)

SAPE: A System for Situation-Aware Public Security Evaluation. - Shu Wu; Qiang Liu 006; Ping Bai; Liang Wang 001; Tieniu Tan (AAAI, 2016)

Information Credibility Evaluation on Social Media. - Shu Wu; Qiang Liu 006; Yong Liu; Liang Wang 001; Tieniu Tan (AAAI, 2016)

Context-Aware Sequential Recommendation. - Qiang Liu 006; Shu Wu; Diyi Wang; Zhaokang Li; Liang Wang 001 (ICDM, 2016)

A Dynamic Recurrent Model for Next Basket Recommendation. - Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (SIGIR, 2016)

A Visual and Textual Recurrent Neural Network for Sequential Prediction. - Qiang Cui 002; Shu Wu; Qiang Liu 006; Liang Wang 001 (CoRR, 2016)

Multi-behavioral Sequential Prediction for Collaborative Filtering. - Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2016)

ICE: Information Credibility Evaluation on Social Media via Representation Learning. - Qiang Liu 006; Shu Wu; Feng Yu 001; Liang Wang 001; Tieniu Tan (CoRR, 2016)

Contextual Operation for Recommender Systems. - Shu Wu; Qiang Liu 006; Liang Wang 001; Tieniu Tan (IEEE Trans. Knowl. Data Eng., 2016)

A Convolutional Approach for Misinformation Identification. - Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (IJCAI, 2017)

DeepStyle: Learning User Preferences for Visual Recommendation. - Qiang Liu 006; Shu Wu; Liang Wang 001 (SIGIR, 2017)

Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model. - Qiang Liu 006; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Context-Aware Collaborative Prediction - Shu Wu; Qiang Liu 006; Liang Wang 001; Tieniu Tan (Springer, 2017)

Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach. - Qiang Liu 006; Feng Yu 001; Shu Wu; Liang Wang 001 (ACM Trans. Intell. Syst. Technol., 2018)

Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. - Jingyi Wang; Qiang Liu 006; Zhaocheng Liu; Shu Wu (CIKM, 2019)

Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts. - Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (Comput. Secur., 2019)

Learning Preferences and Demands in Visual Recommendation. - Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2019)

Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. - Feng Yu 001; Zhaocheng Liu; Qiang Liu 006; Haoli Zhang; Shu Wu; Liang Wang 001 (CIKM, 2020)

TFNet: Multi-Semantic Feature Interaction for CTR Prediction. - Shu Wu; Feng Yu 001; Xueli Yu; Qiang Liu 006; Liang Wang 001; Tieniu Tan; Jie Shao; Fan Huang (SIGIR, 2020)

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. - Feng Yu 001; Yanqiao Zhu 001; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (SIGIR, 2020)

An Empirical Study on Feature Discretization. - Qiang Liu 006; Zhaocheng Liu; Haoli Zhang (CoRR, 2020)

Deep Graph Contrastive Representation Learning. - Yanqiao Zhu 001; Yichen Xu; Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2020)

Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. - Qiang Liu 006; Haoli Zhang; Zhaocheng Liu (CoRR, 2020)

Deep Active Learning by Model Interpretability. - Qiang Liu 006; Zhaocheng Liu; Xiaofang Zhu; Yeliang Xiu; Jun Zhu 001 (CoRR, 2020)

DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. - Zhaocheng Liu; Qiang Liu 006; Haoli Zhang; Yuntian Chen (CoRR, 2020)

Deep Active Graph Representation Learning. - Yanqiao Zhu 001; Weizhi Xu 002; Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2020)

MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. - Qiang Cui 002; Shu Wu; Qiang Liu 006; Wen Zhong; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Simplifying Graph Convolutional Networks as Matrix Factorization. - Qiang Liu 006; Haoli Zhang; Zhaocheng Liu (APWeb/WAIM (1), 2021)

Deep Active Learning for Text Classification with Diverse Interpretations. - Qiang Liu 006; Yanqiao Zhu 001; Zhaocheng Liu; Yufeng Zhang; Shu Wu (CIKM, 2021)

Mining Cross Features for Financial Credit Risk Assessment. - Qiang Liu 006; Zhaocheng Liu; Haoli Zhang; Yuntian Chen; Jun Zhu 001 (CIKM, 2021)

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. - Yichen Xu; Yanqiao Zhu 001; Feng Yu 001; Qiang Liu 006; Shu Wu (CIKM, 2021)

Relation-aware Heterogeneous Graph for User Profiling. - Qilong Yan; Yufeng Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (CIKM, 2021)

Mining Latent Structures for Multimedia Recommendation. - Jinghao Zhang; Yanqiao Zhu 001; Qiang Liu 006; Shu Wu; Shuhui Wang; Liang Wang 001 (ACM Multimedia, 2021)

An Empirical Study of Graph Contrastive Learning. - Yanqiao Zhu 001; Yichen Xu; Qiang Liu 006; Shu Wu (NeurIPS Datasets and Benchmarks, 2021)

Graph Contrastive Learning with Adaptive Augmentation. - Yanqiao Zhu 001; Yichen Xu; Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2021)

STAN: Spatio-Temporal Attention Network for Next Location Recommendation. - Yingtao Luo; Qiang Liu 006; Zhaocheng Liu (WWW, 2021)

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. - Yanqiao Zhu 001; Yichen Xu; Feng Yu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2021)

DNN2LR: Automatic Feature Crossing for Credit Scoring. - Qiang Liu 006; Zhaocheng Liu; Haoli Zhang; Yuntian Chen; Jun Zhu 001 (CoRR, 2021)

Deep Graph Structure Learning for Robust Representations: A Survey. - Yanqiao Zhu 001; Weizhi Xu 002; Jinghao Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2021)

DyGCN: Dynamic Graph Embedding with Graph Convolutional Network. - Zeyu Cui; Zekun Li 001; Shu Wu; Xiaoyu Zhang 002; Qiang Liu 006; Liang Wang 001; Mengmeng Ai (CoRR, 2021)

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. - Yingtao Luo; Qiang Liu 006; Yuntian Chen; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2021)

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). - Yuntian Chen; Yingtao Luo; Qiang Liu 006; Hao Xu; Dongxiao Zhang (CoRR, 2021)

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. - Yanqiao Zhu 001; Yichen Xu; Hejie Cui; Carl Yang 001; Qiang Liu 006; Shu Wu (CoRR, 2021)

Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. - Jinghao Zhang; Yanqiao Zhu 001; Qiang Liu 006; Mengqi Zhang; Shu Wu; Liang Wang 001 (CoRR, 2021)

Disentangled Item Representation for Recommender Systems. - Zeyu Cui; Feng Yu 001; Shu Wu; Qiang Liu 006; Liang Wang 001 (ACM Trans. Intell. Syst. Technol., 2021)

Uncertainty Estimation Based Doubly Robust Learning for Debiasing Recommendation. - Chenyang Su; Qiang Liu 006; Liang Wang 001 (CCIS, 2022)

Second-Order Global Attention Networks for Graph Classification and Regression. - Fenyu Hu; Zeyu Cui; Shu Wu; Qiang Liu 006; Jinlin Wu; Liang Wang 001; Tieniu Tan (CICAI (2), 2022)

Deep Contrastive Multiview Network Embedding. - Mengqi Zhang; Yanqiao Zhu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CIKM, 2022)

Multi-Cause Learning for Diagnosis Prediction. - Liping Wang; Qiang Liu 006; Huanhuan Ma; Shu Wu; Liang Wang 001 (DMBD (1), 2022)

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. - Yuwei Xia; Mengqi Zhang; Qiang Liu 006; Shu Wu; Xiaoyu Zhang 002 (EMNLP, 2022)

The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. - Zhixun Li; Dingshuo Chen; Qiang Liu 006; Shu Wu (ICDM, 2022)

Deep Stable Representation Learning on Electronic Health Records. - Yingtao Luo; Zhaocheng Liu; Qiang Liu 006 (ICDM, 2022)

GraphDIVE: Graph Classification by Mixture of Diverse Experts. - Fenyu Hu; Liping Wang; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (IJCAI, 2022)

A Survey on Deep Graph Generation: Methods and Applications. - Yanqiao Zhu 001; Yuanqi Du; Yinkai Wang; Yichen Xu; Jieyu Zhang 001; Qiang Liu 006; Shu Wu (LoG, 2022)

Bi-directional Contrastive Distillation for Multi-behavior Recommendation. - Yabo Chu; Enneng Yang; Qiang Liu 006; Yuting Liu 003; Linying Jiang; Guibing Guo (ECML/PKDD (1), 2022)

Structure-Enhanced Heterogeneous Graph Contrastive Learning. - Yanqiao Zhu 001; Yichen Xu; Hejie Cui; Carl Yang 001; Qiang Liu 006; Shu Wu (SDM, 2022)

Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. - Junfei Wu; Qiang Liu 006; Weizhi Xu 002; Shu Wu (SIGIR, 2022)

Evidence-aware Fake News Detection with Graph Neural Networks. - Weizhi Xu 002; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2022)

Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. - Weizhi Xu 002; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2022)

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. - Yi Guo; Zhaocheng Liu; Jianchao Tan; Chao Liao; Daqing Chang; Qiang Liu 006; Sen Yang 004; Ji Liu 002; Dongying Kong; Zhi Chen; Chengru Song (CoRR, 2022)

Improving Multi-Interest Network with Stable Learning. - Zhaocheng Liu; Yingtao Luo; Di Zeng; Qiang Liu 006; Daqing Chang; Dongying Kong; Zhi Chen (CoRR, 2022)

Improving Molecular Pretraining with Complementary Featurizations. - Yanqiao Zhu 001; Dingshuo Chen; Yuanqi Du; Yingze Wang; Qiang Liu 006; Shu Wu (CoRR, 2022)

Counterfactual Debiasing for Fact Verification. - Weizhi Xu 002; Qiang Liu 006; Shu Wu; Liang Wang 001 (ACL (1), 2023)

Learning Latent Relations for Temporal Knowledge Graph Reasoning. - Mengqi Zhang; Yuwei Xia; Qiang Liu 006; Shu Wu; Liang Wang 001 (ACL (1), 2023)

Personalized Interest Sustainability Modeling for Sequential POI Recommendation. - Zewen Long; Liang Wang 056; Qiang Liu 006; Shu Wu (CIKM, 2023)

Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction. - Xin Sun; Qiang Liu 006; Shu Wu; Zilei Wang; Liang Wang 001 (EMNLP (Findings), 2023)

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. - Jiaqi Guan; Xiangxin Zhou; Yuwei Yang; Yu Bao; Jian Peng 001; Jianzhu Ma; Qiang Liu 006; Liang Wang 001; Quanquan Gu (ICML, 2023)

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. - Yingtao Luo; Qiang Liu 006; Yuntian Chen; Wenbo Hu 001; Tian Tian 001; Jun Zhu 001 (KDD, 2023)

Uncovering Neural Scaling Laws in Molecular Representation Learning. - Dingshuo Chen; Yanqiao Zhu 001; Jieyu Zhang 001; Yuanqi Du; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 056 (NeurIPS, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (NeurIPS, 2023)

Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. - Jinghao Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (SIGIR, 2023)

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. - Mengqi Zhang; Yuwei Xia; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2023)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. - Wenbo Hu 001; Xin Sun; Qiang Liu 006; Shu Wu (CoRR, 2023)

Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. - Qiang Liu 006; Zhaocheng Liu; Zhenxi Zhu; Shu Wu; Liang Wang 001 (CoRR, 2023)

TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. - Xiangzhu Meng; Wei Wei; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

TCGF: A unified tensorized consensus graph framework for multi-view representation learning. - Xiangzhu Meng; Wei Wei; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

Uncovering Neural Scaling Laws in Molecular Representation Learning. - Dingshuo Chen; Yanqiao Zhu 001; Jieyu Zhang 001; Yuanqi Du; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Liang Wang 056; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (CoRR, 2023)

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. - Huanhuan Ma; Weizhi Xu 002; Yifan Wei 001; Liuji Chen; Liang Wang 056; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. - Yuting Liu 003; Enneng Yang; Yizhou Dang; Guibing Guo; Qiang Liu 006; Yuliang Liang; Linying Jiang; Xingwei Wang 001 (CoRR, 2023)

Dynamic Graph Neural Networks for Sequential Recommendation. - Mengqi Zhang; Shu Wu; Xueli Yu; Qiang Liu 006; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. - Qiang Liu 006; Yingtao Luo; Shu Wu; Zhen Zhang; Xiangnan Yue; Hong Jin; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. - Jinghao Zhang; Yanqiao Zhu 001; Qiang Liu 006; Mengqi Zhang; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining. - Yanqiao Zhu 001; Yichen Xu; Feng Yu 001; Qiang Liu 006; Shu Wu (ACM Trans. Intell. Syst. Technol., 2023)

FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis. - Chang Zhang; Xiangzhu Meng; Qiang Liu 006; Shu Wu; Liang Wang 001; Huansheng Ning (Neurocomputing, 2023)

Rethinking Graph Masked Autoencoders through Alignment and Uniformity. - Liang Wang 001; Xiang Tao; Qiang Liu 006; Shu Wu; Liang Wang 056 (AAAI, 2024)

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. - Haisong Gong; Weizhi Xu 002; Shu Wu; Qiang Liu 006; Liang Wang 056 (AAAI, 2024)

Text-Guided Molecule Generation with Diffusion Language Model. - Haisong Gong; Qiang Liu 006; Shu Wu; Liang Wang 001 (AAAI, 2024)

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. - Huanhuan Ma; Weizhi Xu 002; Yifan Wei 001; Liuji Chen; Liang Wang; Qiang Liu 006; Shu Wu (ACL (Findings), 2024)

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. - Junfei Wu; Qiang Liu 006; Ding Wang; Jinghao Zhang; Shu Wu; Liang Wang 001; Tieniu Tan (ACL (Findings), 2024)

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. - Yuwei Xia; Ding Wang; Qiang Liu 006; Liang Wang 056; Shu Wu; Xiaoyu Zhang 002 (ACL (Findings), 2024)

Stealthy Attack on Large Language Model based Recommendation. - Jinghao Zhang; Yuting Liu 003; Qiang Liu 006; Shu Wu; Guibing Guo; Liang Wang 001 (ACL (1), 2024)

CMG: A Causality-enhanced Multi-view Graph Model for Stock Trend Prediction. - Xi Cheng; Liang Wang 056; Yunan Zeng; Qiang Liu 006 (CIKM, 2024)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. - Jiajun Zhang; Zhixun Li; Qiang Liu 006; Shu Wu; Zilei Wang; Liang Wang 001 (CIKM, 2024)

Knowledge Graph Enhanced Large Language Model Editing. - Mengqi Zhang; Xiaotian Ye; Qiang Liu 006; Pengjie Ren; Shu Wu; Zhumin Chen (EMNLP, 2024)

Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. - Huanhuan Ma; Jinghao Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (ICASSP, 2024)

Semantics Fusion of Hierarchical Transformers for Multimodal Named Entity Recognition. - Zhao Tong; Qiang Liu 006; Haichao Shi; Yuwei Xia; Shu Wu; Xiaoyu Zhang 002 (ICIC (LNAI 3), 2024)

Rethinking Fair Graph Neural Networks from Re-balancing. - Zhixun Li; Yushun Dong; Qiang Liu 006; Jeffrey Xu Yu (KDD, 2024)

DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. - Xin Sun; Liang Wang 056; Qiang Liu 006; Shu Wu; Zilei Wang; Liang Wang 001 (KDD, 2024)

Modality-Balanced Learning for Multimedia Recommendation. - Jinghao Zhang; Guofan Liu; Qiang Liu 006; Shu Wu; Liang Wang 001 (ACM Multimedia, 2024)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. - Qiang Liu 006; Shaozhen Liu; Xin Sun; Shu Wu; Liang Wang 056 (NeurIPS, 2024)

Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. - Dingshuo Chen; Zhixun Li; Yuyan Ni; Guibin Zhang; Ding Wang; Qiang Liu 006; Shu Wu; Jeffrey Xu Yu; Liang Wang (NeurIPS, 2024)

VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark. - Han Huang; Haitian Zhong; Tao Yu; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (NeurIPS, 2024)

CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. - Liang Wang 001; Hao Fu; Shu Wu; Qiang Liu 006; Xuelei Tan; Fangsheng Huang; Mengdi Zhang 002; Wei Wu 014 (SDM, 2024)

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. - Xiang Tao; Liang Wang 056; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2024)

Can Large Language Models Detect Rumors on Social Media? - Qiang Liu 006; Xiang Tao; Junfei Wu; Shu Wu; Liang Wang 001 (CoRR, 2024)

Text-Guided Molecule Generation with Diffusion Language Model. - Haisong Gong; Qiang Liu 006; Shu Wu; Liang Wang 056 (CoRR, 2024)

Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. - Yuwei Xia; Ding Wang; Qiang Liu 006; Liang Wang 001; Shu Wu; Xiaoyu Zhang 002 (CoRR, 2024)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. - Jiajun Zhang; Zhixun Li; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2024)

KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models. - Han Huang; Haitian Zhong; Qiang Liu 006; Shu Wu; Liang Wang 001; Tieniu Tan (CoRR, 2024)

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. - Yuting Liu 003; Yizhou Dang; Yuliang Liang; Qiang Liu 006; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (CoRR, 2024)

Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule. - Yi Xiao; Xiangxin Zhou; Qiang Liu 006; Liang Wang 001 (CoRR, 2024)

Out-of-distribution Rumor Detection via Test-Time Adaptation. - Xiang Tao; Mingqing Zhang; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2024)

Navigating the Noisy Crowd: Finding Key Information for Claim Verification. - Haisong Gong; Huanhuan Ma; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2024)

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. - Mengqi Zhang; Bowen Fang; Qiang Liu 006; Pengjie Ren; Shu Wu; Zhumin Chen; Liang Wang 001 (CoRR, 2024)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. - Liang Wang 056; Qiang Liu 006; Shaozhen Liu; Xin Sun; Shu Wu; Liang Wang 001 (CoRR, 2024)

GOT4Rec: Graph of Thoughts for Sequential Recommendation. - Zewen Long; Liang Wang 001; Shu Wu; Qiang Liu 006; Liang Wang 056 (CoRR, 2024)

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. - Yuwei Xia; Mengqi Zhang; Qiang Liu 006; Liang Wang 056; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (Pattern Recognit., 2024)

Molecular Contrastive Pretraining with Collaborative Featurizations. - Yanqiao Zhu 001; Dingshuo Chen; Yuanqi Du; Yingze Wang; Qiang Liu 006; Shu Wu (J. Chem. Inf. Model., 2024)

Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. - Liping Wang; Qiang Liu 006; Mengqi Zhang; Yaxuan Hu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network. - Zeyu Cui; Zekun Li 001; Shu Wu; Xiaoyu Zhang 002; Qiang Liu 006; Liang Wang 001; Mengmeng Ai (IEEE Trans. Neural Networks Learn. Syst., 2024)

Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing. - Qiang Liu 006; Junfei Wu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Bi-Level Graph Structure Learning for Next POI Recommendation. - Liang Wang 056; Shu Wu; Qiang Liu 006; Yanqiao Zhu 001; Xiang Tao; Mengdi Zhang 002; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks. - Junfei Wu; Weizhi Xu 002; Qiang Liu 006; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection. - Guofan Liu; Jinghao Zhang; Qiang Liu 006; Junfei Wu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. - Yuting Liu 003; Jinghao Zhang; Yizhou Dang; Yuliang Liang; Qiang Liu 006; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (AAAI, 2025)

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models. - Xinlong Chen; Yuanxing Zhang; Qiang Liu 006; Junfei Wu; Fuzheng Zhang; Tieniu Tan (ACL (Findings), 2025)

VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation. - Xinlong Chen; Yuanxing Zhang; Chongling Rao; Yushuo Guan; Jiaheng Liu; Fuzheng Zhang; Chengru Song; Qiang Liu 006; Di Zhang; Tieniu Tan (ACL (Findings), 2025)

Personalized Text Generation with Contrastive Activation Steering. - Jinghao Zhang; Yuting Liu 003; Wenjie Wang 007; Qiang Liu 006; Shu Wu; Liang Wang 001; Tat-Seng Chua (ACL (1), 2025)

Harnessing Content and Structure in ID for Multimodal Recommendation. - Yuting Liu 003; Enneng Yang; Yizhou Dang; Guibing Guo; Qiang Liu 006; Yuliang Liang; Linying Jiang; Xingwei Wang 001 (ICASSP, 2025)

MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. - Liang Wang 056; Shaozhen Liu; Yu Rong 001; Deli Zhao; Qiang Liu 006; Shu Wu; Liang Wang 001 (ICLR, 2025)

Uncovering Overfitting in Large Language Model Editing. - Mengqi Zhang; Xiaotian Ye; Qiang Liu 006; Shu Wu; Pengjie Ren; Zhumin Chen (ICLR, 2025)

Fairness without Demographics through Learning Graph of Gradients. - Yingtao Luo; Zhixun Li; Qiang Liu 006; Jun Zhu 001 (KDD (1), 2025)

RATE: Robust Adversarial Training and Temperature-scaled Ensemble Framework for Trustworthy Misinformation Detection. - Rui Sun; Wenbo Hu 001; Qiang Liu 006; Richang Hong (ICMR, 2025)

Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks. - Jiahua Si; Youze Wang; Wenbo Hu 001; Qiang Liu 006; Richang Hong (MMM (2), 2025)

MPE3: Learning meta-prompt with entity-enhanced semantics for few-shot named entity recognition. - Yuwei Xia; Zhao Tong; Liang Wang 001; Qiang Liu 006; Shu Wu; Xiaoyu Zhang 002 (Neurocomputing, 2025)

Diffusion Models for Molecules: A Survey of Methods and Tasks. - Liang Wang; Chao Song; Zhiyuan Liu; Yu Rong 001; Qiang Liu 006; Shu Wu; Liang Wang (CoRR, 2025)

STRIVE: Structured Reasoning for Self-Improvement in Claim Verification. - Haisong Gong; Jing Li 036; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2025)

Improving Multi-task GNNs for Molecular Property Prediction via Missing Label Imputation. - Fenyu Hu; Dingshuo Chen; Qiang Liu 006; Shu Wu (Mach. Intell. Res., 2025)

SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection. - Mingqing Zhang; Qiang Liu 006; Xiang Tao; Shu Wu; Liang Wang (CoRR, 2025)

Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey. - Zhixun Li; Bin Cao; Rui Jiao; Liang Wang 056; Ding Wang; Yang Liu 003; Dingshuo Chen; Jia Li 009; Qiang Liu 006; Yu Rong 001; Liang Wang 001; Tong-yi Zhang; et al. (CoRR, 2025)

Disentangling Knowledge Representations for Large Language Model Editing. - Mengqi Zhang; Zisheng Zhou; Xiaotian Ye; Qiang Liu 006; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2025)

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing. - Haitian Zhong; Yuhuan Liu; Ziyang Xu; Guofan Liu; Qiang Liu 006; Shu Wu; Zhe Zhao; Liang Wang 001; Tieniu Tan (CoRR, 2025)

VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks. - Xinlong Chen; Yuanxing Zhang; Yushuo Guan; Bohan Zeng; Yang Shi 009; Sihan Yang; Pengfei Wan; Qiang Liu 006; Liang Wang 001; Tieniu Tan (CoRR, 2025)

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing. - Junfei Wu; Jian Guan 002; Kaituo Feng; Qiang Liu 006; Shu Wu; Liang Wang 001; Wei Wu 014; Tieniu Tan (CoRR, 2025)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. - Wenbo Hu 001; Xin Sun; Qiang Liu 006; Le Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)

DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models. - Liang Wang 001; Yu Rong 001; Tingyang Xu; Zhenyi Zhong; Zhiyuan Liu; Pengju Wang; Deli Zhao; Qiang Liu 006; Shu Wu; Liang Wang 056 (CoRR, 2025)