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ORCIDQiang Liu 0006
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, Beijing, China
Other persons with the same name
- Qiang Liu — disambiguation page
- Qiang Liu 0001 — University of Texas at Austin, Department of Computer Science, TX, USA (and 2 more)
- Qiang Liu 0002 — Linköping University, Swedish e-Science Research Centre, Sweden
- Qiang Liu 0003
![[0000-0001-7531-4459]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7531-4459")
— University of Essex, School of Computer Science and Electronic Engineering, Colchester, UK - Qiang Liu 0004 — National University of Defense Technology, College of Computer, Changsha, China
- Qiang Liu 0005 — Delft University of Technology, The Netherlands (and 1 more)
- Qiang Liu 0007 — Oak Ridge National Laboratory, Computer Science and Mathematics Division, TN, USA (and 1 more)
- Qiang Liu 0008 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Qiang Liu 0009 — Joint Center for Global Change Studies, Beijing, China (and 2 more)
- Qiang Liu 0010 — Liaoning Shihua University, School of Information and Control Engineering, Fushun, China (and 1 more)
- Qiang Liu 0011 — Tianjin University, School of Microelectronics, China (and 1 more)
- Qiang Liu 0012 — Huaihai Institute of Technology, School of Electric Engineering, Lianyungang, China
- Qiang Liu 0013 — University of Nebraska-Lincoln, NE, USA (and 1 more)
- Qiang Liu 0014 — Beijing Jiaotong University, School of Computer and Information Technology, China
- Qiang Liu 0015 — Chinese University of Hong Kong
- Qiang Liu 0016 — University of Electronic Science and Technology of China, School of Communication and Information Engineering, Chengdu, China
- Qiang Liu 0017 — Hunan University, College of Electrical and Information Engineering, Changsha, China (and 1 more)
- Qiang Liu 0018 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Qiang Liu 0019 — University of Manchester, School of Engineering, UK
- Qiang Liu 0020 — Beijing Jiaotong University, Beijing Key Laboratory of Transportation Data Analysis and Mining, China
- Qiang Liu 0021 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Qiang Liu 0022 — University of Antwerp, Department of Biology, Belgium (and 1 more)
- Qiang Liu 0023 — Dalian University of Technology, School of Mechanical Engineering, China
- Qiang Liu 0024 — Beihang University, School of Mechanical Engineering and Automation, Beijing, China
- Qiang Liu 0025 — Shenzhen University, School of Mathematics and Statistics, China (and 1 more)
- Qiang Liu 0026 — Shandong University of Finance and Economics, Department of Network and Information Security, Jinan, China (and 1 more)
- Qiang Liu 0027 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China
- Qiang Liu 0028 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Qiang Liu 0029 — Beijing Institute of Petrochemical Technology, Institute of Precision Electromagnetic Equipment and Advanced Measurement Technology, China (and 1 more)
- Qiang Liu 0030 — Beijing University of Posts and Telecommunications, School of Information and Communication, China
- Qiang Liu 0031 — Guangdong University of Technology, Guangzhou, China
- Qiang Liu 0032 — Hunan University of Technology, College of Computer Science, Intelligent Information Perception and Processing Technology Hunan Province Key Laboratory, Zhuzhou, China
- Qiang Liu 0033 — University of Pittsburgh, Department of Neurological Surgery, PA, USA
- Qiang Liu 0034 — EPFL, Lausanne, Vaud, Switzerland (and 1 more)
- Qiang Liu 0035 — Ningbo University, Faculty of Electrical Engineering and Computer Science, China
- Qiang Liu 0036 — Alibaba Group, China
- Qiang Liu 0037 — Beijing Normal University, College of Global Change and Earth System Science, Beijing, China
- Qiang Liu 0038 — Technical University of Munich, School of Computation, Information and Technology, Garching, Germany
- Qiang Liu 0039 — Shanghai Jiao Tong University, Shanghai, China
- Qiang Liu 0040 — Taiyuan University of Technology, Taiyuan, Shanxi, China
- Qiang Liu 0041 — Fuzhou University, Fuzhou, Fujian, China
- Qiang Liu 0042 — China Aero Geophsical Survey and Remote Sensing Center for Natural Resoures, Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Nature and Resources, Technology Innovation Center of Airborne Geophysics Survey, MNR, Beijing, China
- Qiang Liu 0043 — National University of Defense Technology, Changsha, China
- Qiang Liu 0044 — Xi'an University of Science and Technology, Xi'an, China
- Qiang Liu 0045 — University of Electronic Science and Technology of China, Chengdu, China
- Qiang Liu 0046 — Shenzhen University, Shenzhen, China
- Qiang Liu 0047 — Shenzhen University, Shenzhen, China
- Qiang Liu 0048 — University of Jinan, Jinan, China
- Qiang Liu 0049 — Centrtal South University, Changcha, China
- Qiang Liu 0050 — Ningbo University, Ningbo, Zhejiang, China
- Qiang Liu 0051 — China West Normal University, China
- Qiang Liu 0052 — Shandong University, Qingdao, China
- Qiang Liu 0053 — Shenzhen University, Shenzhen, China
- Qiang Liu 0054 — Shandong University of Technology, Zibo, Shandong, China
- Qiang Liu 0055 — Southwest Jiaotong University, Chengdu, Sichuan, China
- Qiang Liu 0056 — Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, China
- Qiang Liu 0057 — Delft University of Technology, Delft, The Netherlands
- Qiang Liu 0058 — Dalian University of Technology, Dalian, China
- Qiang Liu 0059 — Three Gorges University, Yichang, Hubei, China
- Qiang Liu 0060 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2026
[j24]Qiang Liu, Xiang Tao, Liang Wang, Shu Wu, Liang Wang:
Robust and generalizable rumor detection with semantic evolving graph masked autoencoder. Pattern Recognit. 174: 112995 (2026)- [i113]Jiajun Zhang, Zeyu Cui, Jiaxi Yang, Lei Zhang, Yuheng Jing, Zeyao Ma, Tianyi Bai, Zilei Wang, Qiang Liu, Liang Wang, Binyuan Hui, Junyang Lin:
From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning. CoRR abs/2601.13384 (2026) - [i112]Jiajun Zhang, Zeyu Cui, Lei Zhang, Jian Yang, Jiaxi Yang, Qiang Liu, Zilei Wang, Binyuan Hui, Liang Wang, Junyang Lin:
Evaluating and Achieving Controllable Code Completion in Code LLM. CoRR abs/2601.15879 (2026) - [i111]Xinlong Chen, Weihong Lin, Jingyun Hua, Linli Yao, Yue Ding, Bozhou Li, Bohan Zeng, Yang Shi, Qiang Liu, Yuanxing Zhang, Pengfei Wan, Liang Wang, Tieniu Tan:
DiaDem: Advancing Dialogue Descriptions in Audiovisual Video Captioning for Multimodal Large Language Models. CoRR abs/2601.19267 (2026) - [i110]Bowen Fang, Wen Ye, Yunyue Su, Jinghao Zhang, Qiang Liu, Yesheng Liu, Xin Sun, Shu Wu, Jiabing Yang, Baole Wei, Liang Wang:
ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models. CoRR abs/2601.21947 (2026) - [i109]Haisong Gong, Zhibo Liu, Qiang Liu, Shu Wu, Liang Wang:
NAG: A Unified Native Architecture for Encoder-free Text-Graph Modeling in Language Models. CoRR abs/2601.22657 (2026) - [i108]Haitian Zhong, Jixiu Zhai, Lei Song, Jiang Bian, Qiang Liu, Tieniu Tan:
RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling Agents. CoRR abs/2602.03025 (2026) - 2025
- [j23]Fenyu Hu, Dingshuo Chen, Qiang Liu, Shu Wu:
Improving Multi-task GNNs for Molecular Property Prediction via Missing Label Imputation. Mach. Intell. Res. 22(1): 131-144 (2025) - [j22]Yuwei Xia, Zhao Tong, Liang Wang, Qiang Liu, Shu Wu, Xiaoyu Zhang:
MPE3: Learning meta-prompt with entity-enhanced semantics for few-shot named entity recognition. Neurocomputing 620: 129031 (2025) - [j21]Wenbo Hu, Xin Sun, Qiang Liu, Le Wu, Liang Wang:
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. IEEE Trans. Knowl. Data Eng. 37(6): 3781-3793 (2025) - [c86]Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. AAAI 2025: 12246-12254 - [c85]Jinghao Zhang, Yuting Liu, Wenjie Wang, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua:
Personalized Text Generation with Contrastive Activation Steering. ACL (1) 2025: 7128-7141 - [c84]Xinlong Chen, Yuanxing Zhang, Qiang Liu, Junfei Wu, Fuzheng Zhang, Tieniu Tan:
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models. ACL (Findings) 2025: 8525-8542 - [c83]Xinlong Chen, Yuanxing Zhang, Chongling Rao, Yushuo Guan, Jiaheng Liu, Fuzheng Zhang, Chengru Song, Qiang Liu, Di Zhang, Tieniu Tan:
VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation. ACL (Findings) 2025: 8543-8563 - [c82]Xin Sun, Jianan Xie, Zhongqi Chen, Qiang Liu, Shu Wu, Yuehe Chen, Bowen Song, Zilei Wang, Weiqiang Wang, Liang Wang:
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG. ACL (1) 2025: 11461-11480 - [c81]Mingqing Zhang, Qiang Liu, Xiang Tao, Shu Wu, Liang Wang:
SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection. ACL (1) 2025: 12570-12581 - [c80]Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. DASFAA (5) 2025: 303-319 - [c79]Yunyue Su, Zhang Jinshuai, Bowen Fang, Wen Ye, Jinghao Zhang, Bowen Song, Weiqiang Wang, Qiang Liu, Liang Wang:
Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization. EMNLP (Findings) 2025: 556-578 - [c78]Wen Ye, Zhaocheng Liu, Yuwei Gui, Tingyu Yuan, Yunyue Su, Bowen Fang, Chaoyang Zhao, Qiang Liu, Liang Wang:
GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation. EMNLP (Findings) 2025: 929-958 - [c77]Junfei Wu, Yue Ding, Guofan Liu, Tianze Xia, Ziyue Huang, Dianbo Sui, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
SHARP: Steering Hallucination in LVLMs via Representation Engineering. EMNLP 2025: 14346-14361 - [c76]Haitian Zhong, Yuhuan Liu, Ziyang Xu, Guofan Liu, Qiang Liu, Shu Wu, Zhe Zhao, Liang Wang, Tieniu Tan:
REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing. EMNLP 2025: 16983-17000 - [c75]Qiang Liu, Xinlong Chen, Yue Ding, Bowen Song, Weiqiang Wang, Shu Wu, Liang Wang:
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models. EMNLP 2025: 21005-21021 - [c74]Mengqi Zhang, Bowen Fang, Qiang Liu, Xiaotian Ye, Shu Wu, Pengjie Ren, Zhumin Chen, Liang Wang:
KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing. EMNLP (Findings) 2025: 24537-24552 - [c73]Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang:
Harnessing Content and Structure in ID for Multimodal Recommendation. ICASSP 2025: 1-5 - [c72]Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang:
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. ICLR 2025 - [c71]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Shu Wu, Pengjie Ren, Zhumin Chen:
Uncovering Overfitting in Large Language Model Editing. ICLR 2025 - [c70]Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma:
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows. ICLR 2025 - [c69]Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu:
Fairness without Demographics through Learning Graph of Gradients. KDD (1) 2025: 918-926 - [c68]Rui Sun, Wenbo Hu, Qiang Liu, Richang Hong:
RATE: Robust Adversarial Training and Temperature-scaled Ensemble Framework for Trustworthy Misinformation Detection. ICMR 2025: 1201-1210 - [c67]Jiahua Si, Youze Wang, Wenbo Hu, Qiang Liu, Richang Hong:
Making Strides Security in Multimodal Fake News Detection Models: A Comprehensive Analysis of Adversarial Attacks. MMM (2) 2025: 296-309 - [i107]Qiang Liu, Xinlong Chen, Yue Ding, Shizhen Xu, Shu Wu, Liang Wang:
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models. CoRR abs/2501.09997 (2025) - [i106]Liang Wang, Chao Song, Zhiyuan Liu, Yu Rong, Qiang Liu, Shu Wu, Liang Wang:
Diffusion Models for Molecules: A Survey of Methods and Tasks. CoRR abs/2502.09511 (2025) - [i105]Haisong Gong, Jing Li, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
STRIVE: Structured Reasoning for Self-Improvement in Claim Verification. CoRR abs/2502.11959 (2025) - [i104]Xinlong Chen, Yuanxing Zhang, Chongling Rao, Yushuo Guan, Jiaheng Liu, Fuzheng Zhang, Chengru Song, Qiang Liu, Di Zhang, Tieniu Tan:
VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation. CoRR abs/2502.12782 (2025) - [i103]Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang:
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. CoRR abs/2502.16284 (2025) - [i102]Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma:
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows. CoRR abs/2503.03989 (2025) - [i101]Jinghao Zhang, Yuting Liu, Wenjie Wang, Qiang Liu, Shu Wu, Liang Wang, Tat-Seng Chua:
Personalized Text Generation with Contrastive Activation Steering. CoRR abs/2503.05213 (2025) - [i100]Liuji Chen, Hao Gao, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Select Me! When You Need a Tool: A Black-box Text Attack on Tool Selection. CoRR abs/2504.04809 (2025) - [i99]Mingqing Zhang, Qiang Liu, Xiang Tao, Shu Wu, Liang Wang:
SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection. CoRR abs/2504.07135 (2025) - [i98]Dingshuo Chen, Shuchen Xue, Liuji Chen, Yingheng Wang, Qiang Liu, Shu Wu, Zhi-Ming Ma, Liang Wang:
Graffe: Graph Representation Learning via Diffusion Probabilistic Models. CoRR abs/2505.04956 (2025) - [i97]Liuji Chen, Xiaofang Yang, Yuanzhuo Lu, Jinghao Zhang, Xin Sun, Qiang Liu, Shu Wu, Jing Dong, Liang Wang:
PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation. CoRR abs/2505.12574 (2025) - [i96]Zhixun Li, Bin Cao, Rui Jiao, Liang Wang, Ding Wang, Yang Liu, Dingshuo Chen, Jia Li, Qiang Liu, Yu Rong, Liang Wang, Tong-yi Zhang, Jeffrey Xu Yu:
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey. CoRR abs/2505.16379 (2025) - [i95]Xinlong Chen, Yuanxing Zhang, Qiang Liu, Junfei Wu, Fuzheng Zhang, Tieniu Tan:
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models. CoRR abs/2505.17061 (2025) - [i94]Mengqi Zhang, Zisheng Zhou, Xiaotian Ye, Qiang Liu, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Disentangling Knowledge Representations for Large Language Model Editing. CoRR abs/2505.18774 (2025) - [i93]Haitian Zhong, Yuhuan Liu, Ziyang Xu, Guofan Liu, Qiang Liu, Shu Wu, Zhe Zhao, Liang Wang, Tieniu Tan:
REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing. CoRR abs/2505.18933 (2025) - [i92]Xin Sun, Jianan Xie, Zhongqi Chen, Qiang Liu, Shu Wu, Yuehe Chen, Bowen Song, Weiqiang Wang, Zilei Wang, Liang Wang:
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG. CoRR abs/2505.20871 (2025) - [i91]Xinlong Chen, Yuanxing Zhang, Yushuo Guan, Bohan Zeng, Yang Shi, Sihan Yang, Pengfei Wan, Qiang Liu, Liang Wang, Tieniu Tan:
VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks. CoRR abs/2506.09079 (2025) - [i90]Junfei Wu, Jian Guan, Kaituo Feng, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan:
Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing. CoRR abs/2506.09965 (2025) - [i89]Liang Wang, Yu Rong, Tingyang Xu, Zhenyi Zhong, Zhiyuan Liu, Pengju Wang, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang:
DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models. CoRR abs/2507.06853 (2025) - [i88]Haisong Gong, Bolan Su, Xinrong Zhang, Jing Li, Qiang Liu, Shu Wu, Liang Wang:
Mining the Social Fabric: Unveiling Communities for Fake News Detection in Short Videos. CoRR abs/2508.07992 (2025) - [i87]Yunyue Su, Jiahui Chen, Zao Jiang, Zhenyi Zhong, Liang Wang, Qiang Liu:
Language Models Can Understand Spectra: A Multimodal Model for Molecular Structure Elucidation. CoRR abs/2508.08441 (2025) - [i86]Yue Ding, Xiaofang Zhu, Tianze Xia, Junfei Wu, Xinlong Chen, Qiang Liu, Liang Wang:
D2HScore: Reasoning-Aware Hallucination Detection via Semantic Breadth and Depth Analysis in LLMs. CoRR abs/2509.11569 (2025) - [i85]Mingqing Zhang, Zhuoning Xu, Peijie Wang, Rongji Li, Liang Wang, Qiang Liu, Jian Xu, Xuyao Zhang, Shu Wu, Liang Wang:
AgriDoctor: A Multimodal Intelligent Assistant for Agriculture. CoRR abs/2509.17044 (2025) - [i84]Yichi Zhang, Yue Ding, Jingwen Yang, Tianwei Luo, Dongbai Li, Ranjie Duan, Qiang Liu, Hang Su, Yinpeng Dong, Jun Zhu:
Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention. CoRR abs/2509.24393 (2025) - [i83]Yang Shi, Yuhao Dong, Yue Ding, Yuran Wang, Xuanyu Zhu, Sheng Zhou, Wenting Liu, Haochen Tian, Rundong Wang, Huanqian Wang, Zuyan Liu, Bohan Zeng, Ruizhe Chen, Qixun Wang, Zhuoran Zhang, Xinlong Chen, Chengzhuo Tong, Bozhou Li, Chaoyou Fu, Qiang Liu, Haotian Wang, Wenjing Yang, Yuanxing Zhang, Pengfei Wan, Yifan Zhang, Ziwei Liu:
RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark. CoRR abs/2509.24897 (2025) - [i82]Wen Ye, Zhaocheng Liu, Yuwei Gui, Tingyu Yuan, Yunyue Su, Bowen Fang, Chaoyang Zhao, Qiang Liu, Liang Wang:
GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation. CoRR abs/2510.07217 (2025) - [i81]Xinlong Chen, Yue Ding, Weihong Lin, Jingyun Hua, Linli Yao, Yang Shi, Bozhou Li, Yuanxing Zhang, Qiang Liu, Pengfei Wan, Liang Wang, Tieniu Tan:
AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration. CoRR abs/2510.10395 (2025) - [i80]Jiajun Zhang, Jianke Zhang, Zeyu Cui, Jiaxi Yang, Lei Zhang, Binyuan Hui, Qiang Liu, Zilei Wang, Liang Wang, Junyang Lin:
PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization. CoRR abs/2511.00010 (2025) - [i79]Xin Sun, Zhongqi Chen, Xing Zheng, Qiang Liu, Shu Wu, Bowen Song, Zilei Wang, Weiqiang Wang, Liang Wang:
KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering. CoRR abs/2512.10999 (2025) - 2024
- [j20]Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu:
Molecular Contrastive Pretraining with Collaborative Featurizations. J. Chem. Inf. Model. 64(4): 1112-1122 (2024) - [j19]Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang:
MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. Pattern Recognit. 155: 110629 (2024) - [j18]Xiangzhu Meng, Wei Wei, Qiang Liu, Yu Wang, Min Li, Liang Wang:
CvFormer: Cross-view transFormers with pre-training for fMRI analysis of human brain. Pattern Recognit. Lett. 186: 85-90 (2024) - [j17]Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang:
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. IEEE Trans. Knowl. Data Eng. 36(4): 1773-1784 (2024) - [j16]Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(11): 5591-5604 (2024) - [j15]Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 36(11): 5695-5708 (2024) - [j14]Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing. IEEE Trans. Knowl. Data Eng. 36(11): 6801-6813 (2024) - [j13]Guofan Liu, Jinghao Zhang, Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection. IEEE Trans. Knowl. Data Eng. 36(12): 9490-9503 (2024) - [j12]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai:
DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4635-4646 (2024) - [c66]Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang:
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. AAAI 2024: 100-108 - [c65]Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Text-Guided Molecule Generation with Diffusion Language Model. AAAI 2024: 109-117 - [c64]Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. AAAI 2024: 15528-15536 - [c63]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. ACL (1) 2024: 5839-5857 - [c62]Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan:
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. ACL (Findings) 2024: 6944-6962 - [c61]Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu:
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. ACL (Findings) 2024: 9340-9353 - [c60]Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang:
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. ACL (Findings) 2024: 16144-16159 - [c59]Xi Cheng, Liang Wang, Yunan Zeng, Qiang Liu:
CMG: A Causality-enhanced Multi-view Graph Model for Stock Trend Prediction. CIKM 2024: 3699-3703 - [c58]Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CIKM 2024: 4273-4277 - [c57]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. EMNLP 2024: 22647-22662 - [c56]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. ICASSP 2024: 4740-4744 - [c55]Zhao Tong, Qiang Liu, Haichao Shi, Yuwei Xia, Shu Wu, Xiaoyu Zhang:
Semantics Fusion of Hierarchical Transformers for Multimodal Named Entity Recognition. ICIC (LNAI 3) 2024: 414-426 - [c54]Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu:
Rethinking Fair Graph Neural Networks from Re-balancing. KDD 2024: 1736-1745 - [c53]Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. KDD 2024: 2794-2805 - [c52]Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang:
Modality-Balanced Learning for Multimedia Recommendation. ACM Multimedia 2024: 7551-7560 - [c51]Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang:
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. NeurIPS 2024 - [c50]Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang:
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. NeurIPS 2024 - [c49]Han Huang, Haitian Zhong, Tao Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark. NeurIPS 2024 - [c48]Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu:
CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM 2024: 454-462 - [c47]Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. WWW 2024: 4150-4159 - [i78]Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang:
Can Large Language Models Detect Rumors on Social Media? CoRR abs/2402.03916 (2024) - [i77]Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. CoRR abs/2402.07225 (2024) - [i76]Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan:
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. CoRR abs/2402.11622 (2024) - [i75]Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang:
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. CoRR abs/2402.13028 (2024) - [i74]Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Text-Guided Molecule Generation with Diffusion Language Model. CoRR abs/2402.13040 (2024) - [i73]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. CoRR abs/2402.13593 (2024) - [i72]Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang:
Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. CoRR abs/2402.14382 (2024) - [i71]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. CoRR abs/2402.14836 (2024) - [i70]Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CoRR abs/2403.00037 (2024) - [i69]Han Huang, Haitian Zhong, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models. CoRR abs/2403.07350 (2024) - [i68]Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu:
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. CoRR abs/2403.07902 (2024) - [i67]Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. CoRR abs/2403.08246 (2024) - [i66]Yi Xiao, Xiangxin Zhou, Qiang Liu, Liang Wang:
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule. CoRR abs/2403.13830 (2024) - [i65]Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang Wang:
Out-of-distribution Rumor Detection via Test-Time Adaptation. CoRR abs/2403.17735 (2024) - [i64]Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. CoRR abs/2404.16076 (2024) - [i63]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization. CoRR abs/2406.04756 (2024) - [i62]Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu:
Rethinking Fair Graph Neural Networks from Re-balancing. CoRR abs/2407.11624 (2024) - [i61]Haisong Gong, Huanhuan Ma, Qiang Liu, Shu Wu, Liang Wang:
Navigating the Noisy Crowd: Finding Key Information for Claim Verification. CoRR abs/2407.12425 (2024) - [i60]Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. CoRR abs/2408.04400 (2024) - [i59]Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang:
Modality-Balanced Learning for Multimedia Recommendation. CoRR abs/2408.06360 (2024) - [i58]Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang:
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. CoRR abs/2408.10645 (2024) - [i57]Mengqi Zhang, Bowen Fang, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang:
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. CoRR abs/2408.12456 (2024) - [i56]Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang:
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization. CoRR abs/2409.01081 (2024) - [i55]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Uncovering Overfitting in Large Language Model Editing. CoRR abs/2410.07819 (2024) - [i54]Han Huang, Yuqi Huo, Zijia Zhao, Haoyu Lu, Shu Wu, Bingning Wang, Qiang Liu, Weipeng Chen, Liang Wang:
Beyond Filtering: Adaptive Image-Text Quality Enhancement for MLLM Pretraining. CoRR abs/2410.16166 (2024) - [i53]Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang:
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction. CoRR abs/2411.01158 (2024) - [i52]Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. CoRR abs/2411.01169 (2024) - [i51]Zewen Long, Liang Wang, Shu Wu, Qiang Liu, Liang Wang:
GOT4Rec: Graph of Thoughts for Sequential Recommendation. CoRR abs/2411.14922 (2024) - [i50]Mingqing Zhang, Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Breaking Event Rumor Detection via Stance-Separated Multi-Agent Debate. CoRR abs/2412.04859 (2024) - 2023
- [j11]Chang Zhang, Xiangzhu Meng, Qiang Liu, Shu Wu, Liang Wang, Huansheng Ning:
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis. Neurocomputing 559: 126791 (2023) - [j10]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu:
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining. ACM Trans. Intell. Syst. Technol. 14(5): 82:1-82:21 (2023) - [j9]Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4741-4753 (2023) - [j8]Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang:
RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. IEEE Trans. Knowl. Data Eng. 35(7): 7427-7439 (2023) - [j7]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. 35(9): 9154-9167 (2023) - [c46]Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Counterfactual Debiasing for Fact Verification. ACL (1) 2023: 6777-6789 - [c45]Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Latent Relations for Temporal Knowledge Graph Reasoning. ACL (1) 2023: 12617-12631 - [c44]Zewen Long, Liang Wang, Qiang Liu, Shu Wu:
Personalized Interest Sustainability Modeling for Sequential POI Recommendation. CIKM 2023: 4145-4149 - [c43]Xin Sun, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction. EMNLP (Findings) 2023: 13145-13157 - [c42]Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu:
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. ICML 2023: 11827-11846 - [c41]Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu:
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD 2023: 1595-1607 - [c40]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. NeurIPS 2023 - [c39]Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. NeurIPS 2023 - [c38]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. SIGIR 2023: 443-452 - [c37]Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. WWW 2023: 2412-2422 - [i49]Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. CoRR abs/2302.00893 (2023) - [i48]Wenbo Hu, Xin Sun, Qiang Liu, Shu Wu:
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. CoRR abs/2303.12973 (2023) - [i47]Qiang Liu, Zhaocheng Liu, Zhenxi Zhu, Shu Wu, Liang Wang:
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. CoRR abs/2304.05615 (2023) - [i46]Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing. CoRR abs/2304.12888 (2023) - [i45]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. CoRR abs/2306.14179 (2023) - [i44]Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang:
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. CoRR abs/2309.07947 (2023) - [i43]Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang:
TCGF: A unified tensorized consensus graph framework for multi-view representation learning. CoRR abs/2309.09987 (2023) - [i42]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR abs/2309.15123 (2023) - [i41]Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. CoRR abs/2310.05174 (2023) - [i40]Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. CoRR abs/2310.09754 (2023) - [i39]Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang:
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. CoRR abs/2311.05956 (2023) - 2022
- [c36]Chenyang Su, Qiang Liu, Liang Wang:
Uncertainty Estimation Based Doubly Robust Learning for Debiasing Recommendation. CCIS 2022: 696-701 - [c35]Fenyu Hu, Zeyu Cui, Shu Wu, Qiang Liu, Jinlin Wu, Liang Wang, Tieniu Tan:
Second-Order Global Attention Networks for Graph Classification and Regression. CICAI (2) 2022: 496-507 - [c34]Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang:
Deep Contrastive Multiview Network Embedding. CIKM 2022: 4692-4696 - [c33]Liping Wang, Qiang Liu, Huanhuan Ma, Shu Wu, Liang Wang:
Multi-Cause Learning for Diagnosis Prediction. DMBD (1) 2022: 320-332 - [c32]Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. EMNLP 2022: 7230-7240 - [c31]Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. ICDM 2022: 1059-1064 - [c30]Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. ICDM 2022: 1077-1082 - [c29]Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
GraphDIVE: Graph Classification by Mixture of Diverse Experts. IJCAI 2022: 2080-2086 - [c28]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. LoG 2022: 47 - [c27]Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo:
Bi-directional Contrastive Distillation for Multi-behavior Recommendation. ECML/PKDD (1) 2022: 491-507 - [c26]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM 2022: 82-90 - [c25]Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu:
Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. SIGIR 2022: 2308-2313 - [c24]Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Evidence-aware Fake News Detection with Graph Neural Networks. WWW 2022: 2501-2510 - [i38]Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. CoRR abs/2201.06885 (2022) - [i37]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. CoRR abs/2203.06714 (2022) - [i36]Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song:
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR abs/2206.00267 (2022) - [i35]Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang:
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring. CoRR abs/2206.00568 (2022) - [i34]Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen:
Improving Multi-Interest Network with Stable Learning. CoRR abs/2207.07910 (2022) - [i33]Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. CoRR abs/2209.01321 (2022) - [i32]Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu:
Improving Molecular Pretraining with Complementary Featurizations. CoRR abs/2209.15101 (2022) - [i31]Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. CoRR abs/2210.05498 (2022) - [i30]Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. CoRR abs/2210.12384 (2022) - 2021
- [j6]Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12(2): 20:1-20:20 (2021) - [c23]Qiang Liu, Haoli Zhang, Zhaocheng Liu:
Simplifying Graph Convolutional Networks as Matrix Factorization. APWeb/WAIM (1) 2021: 35-43 - [c22]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
Mining Cross Features for Financial Credit Risk Assessment. CIKM 2021: 1069-1078 - [c21]Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. CIKM 2021: 3263-3267 - [c20]Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CIKM 2021: 3553-3557 - [c19]Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. CIKM 2021: 3573-3577 - [c18]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. ACM Multimedia 2021: 3872-3880 - [c17]Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu:
An Empirical Study of Graph Contrastive Learning. NeurIPS Datasets and Benchmarks 2021 - [c16]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. WWW 2021: 2069-2080 - [c15]Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW 2021: 2177-2185 - [i29]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CoRR abs/2101.03654 (2021) - [i28]Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. CoRR abs/2102.04095 (2021) - [i27]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
DNN2LR: Automatic Feature Crossing for Credit Scoring. CoRR abs/2102.12036 (2021) - [i26]Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Structure Learning for Robust Representations: A Survey. CoRR abs/2103.03036 (2021) - [i25]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai:
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network. CoRR abs/2104.02962 (2021) - [i24]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. CoRR abs/2104.09036 (2021) - [i23]Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu:
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR abs/2106.01078 (2021) - [i22]Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang:
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). CoRR abs/2106.11927 (2021) - [i21]Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. CoRR abs/2108.10687 (2021) - [i20]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR abs/2108.13886 (2021) - [i19]Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu:
An Empirical Study of Graph Contrastive Learning. CoRR abs/2109.01116 (2021) - [i18]Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. CoRR abs/2110.07181 (2021) - [i17]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR abs/2111.00678 (2021) - 2020
- [j5]Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang:
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 32(2): 317-331 (2020) - [c14]Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang:
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. CIKM 2020: 2285-2288 - [c13]Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. SIGIR 2020: 1885-1888 - [c12]Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. SIGIR 2020: 1921-1924 - [i16]Qiang Liu, Zhaocheng Liu, Haoli Zhang:
An Empirical Study on Feature Discretization. CoRR abs/2004.12602 (2020) - [i15]Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. CoRR abs/2005.02844 (2020) - [i14]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Contrastive Representation Learning. CoRR abs/2006.04131 (2020) - [i13]Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. CoRR abs/2006.15939 (2020) - [i12]Qiang Liu, Haoli Zhang, Zhaocheng Liu:
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. CoRR abs/2007.09036 (2020) - [i11]Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu:
Deep Active Learning by Model Interpretability. CoRR abs/2007.12100 (2020) - [i10]Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. CoRR abs/2008.07178 (2020) - [i9]Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen:
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. CoRR abs/2008.09775 (2020) - [i8]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. CoRR abs/2010.14945 (2020) - [i7]Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Deep Active Graph Representation Learning. CoRR abs/2010.16091 (2020)
2010 – 2019
- 2019
- [j4]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts. Comput. Secur. 83: 106-121 (2019) - [c11]Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu:
Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. CIKM 2019: 1703-1712 - [i6]Qiang Liu, Shu Wu, Liang Wang:
Learning Preferences and Demands in Visual Recommendation. CoRR abs/1911.04229 (2019) - 2018
- [j3]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach. ACM Trans. Intell. Syst. Technol. 9(5): 50:1-50:20 (2018) - 2017
- [b1]Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan:
Context-Aware Collaborative Prediction. Springer Briefs in Computer Science, Springer 2017, ISBN 978-981-10-5372-6, pp. 1-69 - [j2]Qiang Liu, Shu Wu, Liang Wang:
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model. IEEE Trans. Knowl. Data Eng. 29(6): 1254-1267 (2017) - [c10]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
A Convolutional Approach for Misinformation Identification. IJCAI 2017: 3901-3907 - [c9]Qiang Liu, Shu Wu, Liang Wang:
DeepStyle: Learning User Preferences for Visual Recommendation. SIGIR 2017: 841-844 - [i5]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach. CoRR abs/1706.06314 (2017) - 2016
- [j1]Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan:
Contextual Operation for Recommender Systems. IEEE Trans. Knowl. Data Eng. 28(8): 2000-2012 (2016) - [c8]Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. AAAI 2016: 194-200 - [c7]Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan:
SAPE: A System for Situation-Aware Public Security Evaluation. AAAI 2016: 4401-4402 - [c6]Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan:
Information Credibility Evaluation on Social Media. AAAI 2016: 4403-4404 - [c5]Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-Aware Sequential Recommendation. ICDM 2016: 1053-1058 - [c4]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
A Dynamic Recurrent Model for Next Basket Recommendation. SIGIR 2016: 729-732 - [i4]Qiang Liu, Shu Wu, Liang Wang:
Multi-behavioral Sequential Prediction for Collaborative Filtering. CoRR abs/1608.07102 (2016) - [i3]Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-aware Sequential Recommendation. CoRR abs/1609.05787 (2016) - [i2]Qiang Liu, Shu Wu, Feng Yu, Liang Wang, Tieniu Tan:
ICE: Information Credibility Evaluation on Social Media via Representation Learning. CoRR abs/1609.09226 (2016) - [i1]Qiang Cui, Shu Wu, Qiang Liu, Liang Wang:
A Visual and Textual Recurrent Neural Network for Sequential Prediction. CoRR abs/1611.06668 (2016) - 2015
- [c3]Qiang Liu, Shu Wu, Liang Wang:
COT: Contextual Operating Tensor for Context-Aware Recommender Systems. AAAI 2015: 203-209 - [c2]Qiang Liu, Shu Wu, Liang Wang:
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. CIKM 2015: 613-622 - [c1]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
A Convolutional Click Prediction Model. CIKM 2015: 1743-1746
Coauthor Index
[j24] [i113] [i112] [i111] [i109] [j22] [j21] [c85] [c82] [c81] [c78] [c77] [c76] [c75] [c74] [c72] [c70] [i107] [i106] [i105] [i103] [i102] [i101] [i100] [i99] [i98] [i97] [i96] [i93] [i92] [i91] [i90] [i89] [i88] [i87] [i86] [i85] [i82] [i81] [i80] [i79] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [c65] [c64] [c63] [c62] [c61] [c58] [c56] [c53] [c52] [c50] [c49] [c48] [c47] [i78] [i77] [i76] [i72] [i71] [i70] [i69] [i68] [i66] [i65] [i64] [i63] [i61] [i60] [i59] [i57] [i56] [i54] [i53] [i52] [i51] [i50] [j11] [j9] [j8] [j7] [c46] [c45] [c43] [c42] [c39] [c38] [c37] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [c36] [c35] [c34] [c33] [c29] [c24] [i38] [i35] [i31] [j6] [c19] [c18] [c16] [i29] [i26] [i25] [i24] [i18] [i17] [j5] [c14] [c13] [c12] [i15] [i14] [i13] [i10] [i8] [i7] [j4] [i6] [j3] [b1] [j2] [c10] [c9] [i5] [j1] [c8] [c7] [c6] [c5] [c4] [i4] [i3] [i2] [i1] [c3] [c2] [c1]
[j24] [i110] [i109] [j23] [j22] [c85] [c82] [c81] [c77] [c76] [c75] [c74] [c72] [c71] [i107] [i106] [i105] [i103] [i101] [i100] [i99] [i98] [i97] [i93] [i92] [i90] [i89] [i88] [i85] [i79] [j20] [j19] [j17] [j16] [j15] [j14] [j13] [j12] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i78] [i77] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i69] [i65] [i64] [i63] [i61] [i60] [i59] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [j11] [j10] [j9] [j8] [j7] [c46] [c45] [c44] [c43] [c40] [c39] [c38] [c37] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [c35] [c34] [c33] [c32] [c31] [c29] [c28] [c26] [c25] [c24] [i38] [i37] [i35] [i32] [i31] [i30] [j6] [c21] [c20] [c19] [c18] [c17] [c16] [i29] [i26] [i25] [i24] [i21] [i20] [i19] [i18] [i17] [j5] [c14] [c13] [c12] [i15] [i14] [i13] [i10] [i8] [i7] [j4] [c11] [i6] [j3] [b1] [j2] [c10] [c9] [i5] [j1] [c8] [c7] [c6] [c5] [c4] [i4] [i3] [i2] [i1] [c3] [c2] [c1]
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