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ORCIDYiwei Wang 0001
Person information
- affiliation: University of California, Merced, CA, USA
- affiliation (former): University of California, Los Angeles, CA, USA
- affiliation (former): National University of Singapore
- affiliation (former): Hong Kong University of Science and Technology, Hong Kong, China
Other persons with the same name
- Yiwei Wang (aka: Yi-Wei Wang) — disambiguation page
- Yiwei Wang 0002
![[0000-0002-2135-5359]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2135-5359")
— Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2025
[c37]Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang:
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. COLING 2025: 1013-1026- [i39]Samyak Rawlekar, Yujun Cai, Yiwei Wang, Ming-Hsuan Yang, Narendra Ahuja:
Disentangling CLIP Features for Enhanced Localized Understanding. CoRR abs/2502.02977 (2025) - [i38]Wenhao You, Bryan Hooi, Yiwei Wang, Euijin Choo, Ming-Hsuan Yang, Junsong Yuan, Zi Huang, Yujun Cai:
Lost in Edits? A λ-Compass for AIGC Provenance. CoRR abs/2502.04364 (2025) - [i37]Zhen Xiong, Yujun Cai, Bryan Hooi, Nanyun Peng, Kai-Wei Chang, Zhecheng Li, Yiwei Wang:
Enhancing LLM Character-Level Manipulation via Divide and Conquer. CoRR abs/2502.08180 (2025) - [i36]Bingxuan Li, Yiwei Wang, Jiuxiang Gu, Kai-Wei Chang, Nanyun Peng:
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling. CoRR abs/2502.17651 (2025) - 2024
- [c36]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) 2024: 3615-3625 - [c35]Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang:
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning. EMNLP (Findings) 2024: 1087-1102 - [c34]Zhicheng Yang, Yinya Huang, Jing Xiong, Liang Feng, Xiaodan Liang, Yiwei Wang, Jing Tang:
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations. EMNLP (Findings) 2024: 2857-2896 - [c33]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. EMNLP (Findings) 2024: 11071-11083 - [c32]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng:
SLANG: New Concept Comprehension of Large Language Models. EMNLP 2024: 12558-12575 - [c31]Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng:
Control Large Language Models via Divide and Conquer. EMNLP 2024: 15240-15256 - [c30]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao:
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR 2024 - [c29]Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang:
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification. NeurIPS 2024 - [i35]Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang:
DeepEdit: Knowledge Editing as Decoding with Constraints. CoRR abs/2401.10471 (2024) - [i34]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Chen:
SLANG: New Concept Comprehension of Large Language Models. CoRR abs/2401.12585 (2024) - [i33]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Chen:
Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models. CoRR abs/2401.13227 (2024) - [i32]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. CoRR abs/2404.00216 (2024) - [i31]Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng:
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR abs/2405.11613 (2024) - [i30]Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo:
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR abs/2406.04975 (2024) - [i29]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng:
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. CoRR abs/2406.11668 (2024) - [i28]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR abs/2406.12468 (2024) - [i27]Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang:
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning. CoRR abs/2407.02511 (2024) - [i26]Zhicheng Yang, Yinya Huang, Wei Shi, Liang Feng, Linqi Song, Yiwei Wang, Xiaodan Liang, Jing Tang:
Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis. CoRR abs/2407.09887 (2024) - [i25]Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang:
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. CoRR abs/2409.03363 (2024) - [i24]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng:
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. CoRR abs/2409.10132 (2024) - [i23]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng:
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. CoRR abs/2410.02684 (2024) - [i22]Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng:
Control Large Language Models via Divide and Conquer. CoRR abs/2410.04628 (2024) - [i21]Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang:
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification. CoRR abs/2410.16845 (2024) - [i20]Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong, Nanyun Peng, Kai-Wei Chang:
Vulnerability of LLMs to Vertically Aligned Text Manipulations. CoRR abs/2410.20016 (2024) - [i19]Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Naifan Cheung, Nanyun Peng, Kai-Wei Chang:
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization. CoRR abs/2410.20021 (2024) - [i18]Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang:
DRS: Deep Question Reformulation With Structured Output. CoRR abs/2411.17993 (2024) - [i17]Xingjian Tao, Yiwei Wang, Yujun Cai, Zhicheng Yang, Jing Tang:
Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory. CoRR abs/2412.20846 (2024) - 2023
- [j2]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Trans. Knowl. Data Eng. 35(9): 9254-9268 (2023) - [c28]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. AAAI 2023: 14329-14337 - [c27]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoNLL 2023: 414-423 - [c26]Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi:
Primacy Effect of ChatGPT. EMNLP 2023: 108-115 - [c25]Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen:
A Causal View of Entity Bias in (Large) Language Models. EMNLP (Findings) 2023: 15173-15184 - [c24]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. NeurIPS 2023 - [c23]Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah:
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM 2023: 348-356 - [i16]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoRR abs/2305.13551 (2023) - [i15]Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen:
A Causal View of Entity Bias in (Large) Language Models. CoRR abs/2305.14695 (2023) - [i14]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR abs/2306.08259 (2023) - [i13]Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi:
Primacy Effect of ChatGPT. CoRR abs/2310.13206 (2023) - [i12]Zhicheng Yang, Yiwei Wang, Yinya Huang, Jing Xiong, Xiaodan Liang, Jing Tang:
Speak Like a Native: Prompting Large Language Models in a Native Style. CoRR abs/2311.13538 (2023) - 2022
- [c22]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
TrajFormer: Efficient Trajectory Classification with Transformers. CIKM 2022: 1229-1237 - [c21]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN 2022: 1-8 - [c20]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction With Effective Decoders. LoG 2022: 14 - [c19]Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen:
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) 2022: 1172-1184 - [c18]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. NAACL-HLT (Findings) 2022: 1698-1708 - [c17]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT 2022: 3071-3081 - [c16]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) 2022: 55-70 - [i11]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR abs/2202.10720 (2022) - [i10]Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen:
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR abs/2205.02406 (2022) - [i9]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR abs/2205.03784 (2022) - [i8]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. CoRR abs/2205.03786 (2022) - [i7]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR abs/2209.10100 (2022) - [i6]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. CoRR abs/2211.15979 (2022) - 2021
- [c15]Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat-Thalmann:
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder∗. ICCV 2021: 11625-11635 - [c14]Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann:
Modeling Trajectories with Neural Ordinary Differential Equations. IJCAI 2021: 1498-1504 - [c13]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi:
Adaptive Data Augmentation on Temporal Graphs. NeurIPS 2021: 1440-1452 - [c12]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS 2021: 18762-18773 - [c11]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. ECML/PKDD (2) 2021: 36-51 - [c10]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
CurGraph: Curriculum Learning for Graph Classification. WWW 2021: 1238-1248 - [c9]Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Fine-Grained Urban Flow Prediction. WWW 2021: 1833-1845 - [c8]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Mixup for Node and Graph Classification. WWW 2021: 3663-3674 - [i5]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. CoRR abs/2106.15504 (2021) - [i4]Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi:
Structure-Aware Label Smoothing for Graph Neural Networks. CoRR abs/2112.00499 (2021) - [i3]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling for Temporal Graph Networks. CoRR abs/2112.09845 (2021) - 2020
- [c7]Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat-Thalmann:
Learning Progressive Joint Propagation for Human Motion Prediction. ECCV (7) 2020: 226-242 - [c6]Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi:
Provably Robust Node Classification via Low-Pass Message Passing. ICDM 2020: 621-630 - [c5]Yiwei Wang, Wei Wang, Yujun Cai, Bryan Hooi, Beng Chin Ooi:
Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. ISSRE 2020: 313-324 - [c4]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi:
NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD 2020: 207-217 - [c3]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Progressive Supervision for Node Classification. ECML/PKDD (1) 2020: 266-281 - [c2]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. ECML/PKDD (1) 2020: 578-594 - [i2]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
GraphCrop: Subgraph Cropping for Graph Classification. CoRR abs/2009.10564 (2020) - [i1]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. CoRR abs/2012.07065 (2020)
2010 – 2019
- 2019
- [j1]Licheng Zhao, Yiwei Wang, Sandeep Kumar, Daniel P. Palomar:
Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM. IEEE Trans. Signal Process. 67(16): 4231-4244 (2019) - 2017
- [c1]Yiwei Wang, Mark James Carman, Yuan-Fang Li:
Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter. CIKM 2017: 2351-2354
Coauthor Index
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