default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSee-Kiong Ng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j45]Wenjie Feng
, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu:
Interrelated Dense Pattern Detection in Multilayer Networks. IEEE Trans. Knowl. Data Eng. 36(11): 6462-6476 (2024)- [c140]Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng:
Chain-of-Thought Improves Text Generation with Citations in Large Language Models. AAAI 2024: 18345-18353 - [c139]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. AAAI 2024: 18824-18832 - [c138]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: Knowledge Metabolism for Large Language Models. AAAI 2024: 23784-23786 - [c137]Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. ACL (Findings) 2024: 3636-3657 - [c136]Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua:
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. ACL (1) 2024: 7978-7993 - [c135]Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. ACL (1) 2024: 8795-8812 - [c134]Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan:
Learning multivariate temporal point processes via the time-change theorem. AISTATS 2024: 3241-3249 - [c133]Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Item Tokenization for Generative Recommendation. CIKM 2024: 2400-2409 - [c132]Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng:
NUS-IDS@eRisk2024: Ranking Sentences for Depression Symptoms using Early Maladaptive Schemas and Ensembles. CLEF (Working Notes) 2024: 782-793 - [c131]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. EACL (1) 2024: 1738-1751 - [c130]Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. ECAI 2024: 2556-2563 - [c129]Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. ECCV (80) 2024: 77-98 - [c128]Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee:
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. EMNLP (Findings) 2024: 4663-4680 - [c127]Thong Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
Encoding and Controlling Global Semantics for Long-form Video Question Answering. EMNLP 2024: 7049-7066 - [c126]Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng:
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. EMNLP 2024: 7315-7332 - [c125]Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. EMNLP (Findings) 2024: 10836-10863 - [c124]Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations. EMNLP 2024: 13652-13673 - [c123]Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. ICLR 2024 - [c122]Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low:
PINNACLE: PINN Adaptive ColLocation and Experimental points selection. ICLR 2024 - [c121]Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Topic Modeling as Multi-Objective Contrastive Optimization. ICLR 2024 - [c120]Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. ICML 2024 - [c119]Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low:
Distributionally Robust Data Valuation. ICML 2024 - [c118]Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng:
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. IJCAI 2024: 3760-3769 - [c117]Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Wee Siong Ng, See-Kiong Ng, Hui Ying Teo, Victor Khoo, Georg Bökman, Johan Edstedt, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev:
From 2D to 3D: AISG-SLA Visual Localization Challenge. IJCAI 2024: 8661-8664 - [c116]Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD 2024: 1816-1826 - [c115]Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. ACM Multimedia 2024: 4630-4639 - [c114]Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng:
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. ACM Multimedia 2024: 5201-5210 - [c113]Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng:
Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation. ACM Multimedia 2024: 5537-5546 - [c112]Yi Bin, Wenhao Shi, Yujuan Ding, Zhiqiang Hu, Zheng Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen:
GalleryGPT: Analyzing Paintings with Large Multimodal Models. ACM Multimedia 2024: 7734-7743 - [c111]Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu:
GPTScore: Evaluate as You Desire. NAACL-HLT 2024: 6556-6576 - [c110]Brian Formento, Wenjie Feng, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng:
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks. NAACL-HLT 2024: 8005-8028 - [i72]Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi:
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. CoRR abs/2402.03271 (2024) - [i71]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Topic Modeling as Multi-Objective Contrastive Optimization. CoRR abs/2402.07577 (2024) - [i70]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
Mercury: An Efficiency Benchmark for LLM Code Synthesis. CoRR abs/2402.07844 (2024) - [i69]Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua:
LLM-based Federated Recommendation. CoRR abs/2402.09959 (2024) - [i68]Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng:
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework. CoRR abs/2402.12761 (2024) - [i67]Jinlan Fu, Shenzhen Huangfu, Hang Yan, See-Kiong Ng, Xipeng Qiu:
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge. CoRR abs/2402.14310 (2024) - [i66]Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. CoRR abs/2402.15057 (2024) - [i65]Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions. CoRR abs/2402.15062 (2024) - [i64]Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng:
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. CoRR abs/2403.01848 (2024) - [i63]Fiona Anting Tan, Gerard Christopher Yeo, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Kokil Jaidka, Yang Liu, See-Kiong Ng:
PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models. CoRR abs/2403.02246 (2024) - [i62]Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiangqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low:
Localized Zeroth-Order Prompt Optimization. CoRR abs/2403.02993 (2024) - [i61]Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu:
Chain of Thought Explanation for Dialogue State Tracking. CoRR abs/2403.04656 (2024) - [i60]Brian Formento, Wenjie Feng, Chuan Sheng Foo, Luu Anh Tuan, See-Kiong Ng:
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks. CoRR abs/2403.18423 (2024) - [i59]Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low:
PINNACLE: PINN Adaptive ColLocation and Experimental points selection. CoRR abs/2404.07662 (2024) - [i58]Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng:
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. CoRR abs/2404.12130 (2024) - [i57]Lin Xu, Yilin Zhao, Daquan Zhou, Zhijie Lin, See-Kiong Ng, Jiashi Feng:
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning. CoRR abs/2404.16994 (2024) - [i56]Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR abs/2405.07314 (2024) - [i55]Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. CoRR abs/2405.16122 (2024) - [i54]Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Prompt Optimization with Human Feedback. CoRR abs/2405.17346 (2024) - [i53]Naibo Wang, Yuchen Deng, Wenjie Feng, Jianwei Yin, See-Kiong Ng:
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory. CoRR abs/2405.17457 (2024) - [i52]Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Encoding and Controlling Global Semantics for Long-form Video Question Answering. CoRR abs/2405.19723 (2024) - [i51]Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. CoRR abs/2406.05615 (2024) - [i50]Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. CoRR abs/2406.12639 (2024) - [i49]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials. CoRR abs/2406.13409 (2024) - [i48]Nhung Bui, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low:
On Newton's Method to Unlearn Neural Networks. CoRR abs/2406.14507 (2024) - [i47]Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee:
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. CoRR abs/2406.17294 (2024) - [i46]Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. CoRR abs/2407.03788 (2024) - [i45]Cheng Wang, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low:
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs. CoRR abs/2407.04981 (2024) - [i44]Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Wee Siong Ng, See-Kiong Ng, Hui Ying Teo, Victor Khoo, Georg Bökman, Johan Edstedt, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev:
From 2D to 3D: AISG-SLA Visual Localization Challenge. CoRR abs/2407.18590 (2024) - [i43]Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. CoRR abs/2408.00305 (2024) - [i42]Yi Bin, Wenhao Shi, Yujuan Ding, Zhiqiang Hu, Zheng Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen:
GalleryGPT: Analyzing Paintings with Large Multimodal Models. CoRR abs/2408.00491 (2024) - [i41]Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi:
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. CoRR abs/2409.00509 (2024) - [i40]Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu:
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. CoRR abs/2409.06277 (2024) - [i39]Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Efficient Inference for Large Language Model-based Generative Recommendation. CoRR abs/2410.05165 (2024) - [i38]Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng:
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. CoRR abs/2410.06671 (2024) - 2023
- [j44]Feng Hou, Ruili Wang, See-Kiong Ng, Michael Witbrock, Fangyi Zhu, Xiaoyun Jia:
Exploiting anonymous entity mentions for named entity linking. Knowl. Inf. Syst. 65(3): 1221-1242 (2023) - [j43]Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng:
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3527-3536 (2023) - [j42]Mingzhe Du, Mouad Hakam, See-Kiong Ng, Stéphane Bressan:
Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer. Trans. Large Scale Data Knowl. Centered Syst. 53: 90-106 (2023) - [j41]Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo:
Mitigating Real-World Distribution Shifts in the Fourier Domain. Trans. Mach. Learn. Res. 2023 (2023) - [j40]Naibo Wang, Wenjie Feng, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng:
Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j39]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan:
Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation. Trans. Recomm. Syst. 1(4): 1-26 (2023) - [j38]Yifang Yin, Wenmiao Hu, An Tran, Ying Zhang, Guanfeng Wang, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng:
Multimodal Deep Learning for Robust Road Attribute Detection. ACM Trans. Spatial Algorithms Syst. 9(4): 27:1-27:25 (2023) - [c109]Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. AAAI 2023: 16434-16436 - [c108]Sujatha Das Gollapalli, Yixin Huang, See-Kiong Ng:
NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data. ArgMining@EMNLP 2023: 212-217 - [c107]Richa Hu, Dan Li, See-Kiong Ng, Zibin Zheng:
CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks. DASFAA (4) 2023: 159-174 - [c106]Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng:
UniCausal: Unified Benchmark and Repository for Causal Text Mining. DaWaK 2023: 248-262 - [c105]Brian Formento, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng:
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study. EACL (Findings) 2023: 1-34 - [c104]Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng:
Socratic Question Generation: A Novel Dataset, Models, and Evaluation. EACL 2023: 147-165 - [c103]Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Non-Autoregressive Math Word Problem Solver with Unified Tree Structure. EMNLP 2023: 3290-3301 - [c102]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. EMNLP (Findings) 2023: 3635-3649 - [c101]Sujatha Das Gollapalli, Beng Heng Ang, See-Kiong Ng:
Identifying Early Maladaptive Schemas from Mental Health Question Texts. EMNLP (Findings) 2023: 11832-11843 - [c100]Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng:
Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning. ICDM (Workshops) 2023: 89-98 - [c99]Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng:
Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. ICDM (Workshops) 2023: 852-859 - [c98]Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low:
Training-Free Neural Active Learning with Initialization-Robustness Guarantees. ICML 2023: 12931-12971 - [c97]Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
Fair yet Asymptotically Equal Collaborative Learning. ICML 2023: 21223-21259 - [c96]Fangyi Zhu, See-Kiong Ng, Stéphane Bressan:
COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks. IJCAI 2023: 5314-5322 - [c95]Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoglu, Nelleke Oostdijk, Tommaso Caselli, Tadashi Nomoto, Onur Uca, Farhana Ferdousi Liza, See-Kiong Ng:
RECESS: Resource for Extracting Cause, Effect, and Signal Spans. IJCNLP (1) 2023: 66-82 - [c94]Yingjie Liu, Xian Wei, See-Kiong Ng, Tongtong Zhang, Mingsong Chen, Xuan Tang:
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. IJCNN 2023: 1-10 - [c93]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search. ACM Multimedia 2023: 56-66 - [c92]Fiona Anting Tan, See-Kiong Ng:
Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs. ISWC (Posters/Demos/Industry) 2023 - [c91]Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng:
EasySpider: A No-Code Visual System for Crawling the Web. WWW (Companion Volume) 2023: 192-195 - [c90]Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Identifying Checkworthy CURE Claims on Twitter. WWW 2023: 4015-4019 - [i37]Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo:
Fourier Sensitivity and Regularization of Computer Vision Models. CoRR abs/2301.13514 (2023) - [i36]Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu:
GPTScore: Evaluate as You Desire. CoRR abs/2302.04166 (2023) - [i35]Naibo Wang, Wenjie Feng, Fusheng Liu, Moming Duan, See-Kiong Ng:
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market. CoRR abs/2302.11751 (2023) - [i34]Fiona Anting Tan, Debdeep Paul, Sahim Yamaura, Miura Koji, See-Kiong Ng:
Constructing and Interpreting Causal Knowledge Graphs from News. CoRR abs/2305.09359 (2023) - [i33]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
Beyond Words: A Comprehensive Survey of Sentence Representations. CoRR abs/2305.12641 (2023) - [i32]Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low:
Training-Free Neural Active Learning with Initialization-Robustness Guarantees. CoRR abs/2306.04454 (2023) - [i31]Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
Fair yet Asymptotically Equal Collaborative Learning. CoRR abs/2306.05764 (2023) - [i30]Guilherme Augusto Zagatti, Samuel A. Isaacson, Christopher Rackauckas, Vasily Ilin, See-Kiong Ng, Stéphane Bressan:
Extending JumpProcess.jl for fast point process simulation with time-varying intensities. CoRR abs/2306.06992 (2023) - [i29]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials. CoRR abs/2307.03398 (2023) - [i28]Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, Anh Tuan Luu, Bryan Hooi:
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals. CoRR abs/2309.08949 (2023) - [i27]Jingtan Wang, Xinyang Lu, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low:
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. CoRR abs/2310.00646 (2023) - [i26]Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. CoRR abs/2310.02905 (2023) - [i25]Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. CoRR abs/2310.06491 (2023) - [i24]Yi Bin, Wenhao Shi, Yujuan Ding, Yang Yang, See-Kiong Ng:
Solving Math Word Problems with Reexamination. CoRR abs/2310.09590 (2023) - [i23]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: A Continual Learning Framework for Large Language Models. CoRR abs/2310.14248 (2023) - [i22]Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. CoRR abs/2311.00262 (2023) - [i21]Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng:
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. CoRR abs/2311.08562 (2023) - [i20]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. CoRR abs/2312.02549 (2023) - [i19]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. CoRR abs/2312.06950 (2023) - [i18]Mingtao Yang, See-Kiong Ng, Jinlan Fu:
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System. CoRR abs/2312.16864 (2023) - 2022
- [j37]Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo:
Fourier Sensitivity and Regularization of Computer Vision Models. Trans. Mach. Learn. Res. 2022 (2022) - [c89]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI 2022: 6737-6745 - [c88]Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim:
PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions. AAAI 2022: 12503-12509 - [c87]Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng:
Trusted Media Challenge Dataset and User Study. CIKM 2022: 3873-3877 - [c86]Mingzhe Du, Sujatha Das Gollapalli, See-Kiong Ng:
NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5. CLEF (Working Notes) 2022: 468-477 - [c85]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. COLING 2022: 471-484 - [c84]Sujatha Das Gollapalli, See-Kiong Ng:
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation. COLING 2022: 3835-3846 - [c83]Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan:
Syntax-Informed Question Answering with Heterogeneous Graph Transformer. DEXA (1) 2022: 17-31 - [c82]Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan:
Latent Relational Point Process: Network Reconstruction from Discrete Event Data. DEXA (2) 2022: 32-46 - [c81]Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Polyglot Prompt: Multilingual Multitask Prompt Training. EMNLP 2022: 9919-9935 - [c80]Panpan Qi, Dan Li, See-Kiong Ng:
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. ICDE 2022: 1232-1244 - [c79]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery. ACM Multimedia 2022: 6155-6164 - [c78]Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. NAACL-HLT 2022: 2930-2941 - [c77]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. ECML/PKDD (1) 2022: 193-208 - [c76]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan:
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. SIGIR 2022: 1133-1143 - [c75]Yifang Yin, Wenmiao Hu, An Tran, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng:
A Context-enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection. WACV 2022: 1391-1400 - [i17]Xian Wei, See-Kiong Ng, Tongtong Zhang, Yingjie Liu:
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. CoRR abs/2202.01427 (2022) - [i16]Fangyi Zhu, See-Kiong Ng, Stéphane Bressan:
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks. CoRR abs/2204.09593 (2022) - [i15]Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan:
Syntax-informed Question Answering with Heterogeneous Graph Transformer. CoRR abs/2204.09655 (2022) - [i14]Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Polyglot Prompt: Multilingual Multitask PrompTraining. CoRR abs/2204.14264 (2022) - [i13]Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. CoRR abs/2205.02129 (2022) - [i12]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring. CoRR abs/2206.07604 (2022) - [i11]Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng:
UniCausal: Unified Benchmark and Model for Causal Text Mining. CoRR abs/2208.09163 (2022) - [i10]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh:
Joint Triplet Loss Learning for Next New POI Recommendation. CoRR abs/2209.12162 (2022) - [i9]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. CoRR abs/2210.02223 (2022) - 2021
- [j36]Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan:
A Data Warehouse of Wi-Fi Sessions for Contact Tracing and Outbreak Investigation. Trans. Large Scale Data Knowl. Centered Syst. 48: 85-104 (2021) - [c74]Panpan Qi, Wei Wang, Lei Zhu, See-Kiong Ng:
Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees. CIKM 2021: 1457-1466 - [c73]Yifang Yin, An Tran, Ying Zhang, Wenmiao Hu, Guanfeng Wang, Jagannadan Varadarajan, Roger Zimmermann, See-Kiong Ng:
Multimodal Fusion of Satellite Images and Crowdsourced GPS Traces for Robust Road Attribute Detection. SIGSPATIAL/GIS 2021: 107-116 - [c72]Sujatha Das Gollapalli, See-Kiong Ng:
Modeling Emoji Generation for Emotion Analysis of Social Media Short Texts. ICWSM Workshops 2021 - [c71]Brian Formento, See-Kiong Ng, Chuan-Sheng Foo:
Special Symbol Attacks On NLP Systems. IJCNN 2021: 1-8 - [c70]Guilherme Augusto Zagatti, Tingfeng Wu, See-Kiong Ng, Stéphane Bressan:
A Large-scale Disease Outbreak Analytics System based on Wi-Fi Session Logs. MDM 2021: 236-239 - [c69]Arthur Deschamps, Sujatha Das Gollapalli, See-Kiong Ng:
On Generating Fact-Infused Question Variations. RANLP 2021: 335-345 - [c68]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan:
Origin-Aware Next Destination Recommendation with Personalized Preference Attention. WSDM 2021: 382-390 - [i8]Dacheng Chen, Dan Li, Xiuqin Xu, Ruizhi Yang, See-Kiong Ng:
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG. CoRR abs/2101.07535 (2021) - [i7]Fiona Anting Tan, See-Kiong Ng:
NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection. CoRR abs/2110.02991 (2021) - [i6]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. CoRR abs/2112.05355 (2021) - 2020
- [j35]Ying Zhang, Yifang Yin, Roger Zimmermann, Guanfeng Wang, Jagannadan Varadarajan, See-Kiong Ng:
An Enhanced GAN Model for Automatic Satellite-to-Map Image Conversion. IEEE Access 8: 176704-176716 (2020) - [c67]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan:
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CIKM 2020: 845-854 - [c66]Sujatha Das Gollapalli, Polina Rozenshtein, See-Kiong Ng:
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection. EMNLP (Findings) 2020: 1043-1056 - [c65]Dan Li, Hang Liu, See-Kiong Ng:
VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks. ICTAI 2020: 923-928 - [c64]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. IJCAI 2020: 1244-1250 - [c63]Yifang Yin, Jagannadan Varadarajan, Guanfeng Wang, Xueou Wang, Dhruva Sahrawat, Roger Zimmermann, See-Kiong Ng:
A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces. WWW 2020: 2662-2668 - [e2]Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan:
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12084, Springer 2020, ISBN 978-3-030-47425-6 [contents] - [e1]Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan:
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12085, Springer 2020, ISBN 978-3-030-47435-5 [contents] - [i5]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan:
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CoRR abs/2010.07024 (2020) - [i4]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan:
Origin-Aware Next Destination Recommendation with Personalized Preference Attention. CoRR abs/2012.01915 (2020)
2010 – 2019
- 2019
- [c62]Yifang Yin, Abhinav Sunderrajan, Xiaocheng Huang, Jagannadan Varadarajan, Guanfeng Wang, Dhruva Sahrawat, Ying Zhang, Roger Zimmermann, See-Kiong Ng:
Multi-scale Graph Convolutional Network for Intersection Detection from GPS Trajectories. GeoAI@SIGSPATIAL 2019: 36-39 - [c61]Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng:
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. ICANN (4) 2019: 703-716 - [c60]Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. ICPHM 2019: 1-8 - [i3]Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng:
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. CoRR abs/1901.04997 (2019) - [i2]Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. CoRR abs/1902.06366 (2019) - 2018
- [j34]Bo Zhang, Wei Li, Xiao-Li Li, See-Kiong Ng:
Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks. IEEE Access 6: 66367-66384 (2018) - [i1]Dan Li, Dacheng Chen, Jonathan Goh, See-Kiong Ng:
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. CoRR abs/1809.04758 (2018) - 2017
- [j33]Fei Wang, Xiaoli Li, Jason T. L. Wang, See-Kiong Ng:
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 501-502 (2017) - 2016
- [j32]Anh Tuan Luu, Siu Cheung Hui, See-Kiong Ng:
Utilizing Temporal Information for Taxonomy Construction. Trans. Assoc. Comput. Linguistics 4: 551-564 (2016) - [c59]Anh Tuan Luu, Yi Tay, Siu Cheung Hui, See-Kiong Ng:
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network. EMNLP 2016: 403-413 - 2015
- [j31]Guimei Liu, Haojun Zhang, Mengling Feng, Limsoon Wong, See-Kiong Ng:
Supporting Exploratory Hypothesis Testing and Analysis. ACM Trans. Knowl. Discov. Data 9(4): 31:1-31:24 (2015) - [c58]Anh Tuan Luu, Jung-Jae Kim, See-Kiong Ng:
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction. EMNLP 2015: 1013-1022 - [c57]Liang Yu, Wei Wu, Xiaohui Li, Guangxia Li, Wee Siong Ng, See-Kiong Ng, Zhongwen Huang, Anushiya Arunan, Hui Min Watt:
iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data. VAST 2015: 49-56 - 2014
- [j30]Alireza Vazifedoost, Maseud Rahgozar, Behzad Moshiri, Mehdi Sadeghi, Hon Nian Chua, See-Kiong Ng, Limsoon Wong:
Using data fusion for scoring reliability of protein-protein interactions. J. Bioinform. Comput. Biol. 12(4) (2014) - [c56]Narayanan Amudha, Gim Guan Chua, Eric Siew Khuan Foo, Shen-Tat Goh, Shuqiao Guo, Paul Min Chim Lim, Mun-Thye Mak, Muhammad Cassim Mahmud Munshi, See-Kiong Ng, Wee Siong Ng, Huayu Wu:
A*DAX: A Platform for Cross-Domain Data Linking, Sharing and Analytics. DASFAA (2) 2014: 493-502 - [c55]Anh Tuan Luu, Jung-Jae Kim, See-Kiong Ng:
Taxonomy Construction Using Syntactic Contextual Evidence. EMNLP 2014: 810-819 - 2013
- [j29]Henry Han, Xiaoli Li, See-Kiong Ng, Zhou Ji:
Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics. J. Bioinform. Comput. Biol. 11(6) (2013) - [j28]Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng:
Integrated Oversampling for Imbalanced Time Series Classification. IEEE Trans. Knowl. Data Eng. 25(12): 2809-2822 (2013) - [c54]Huafei Zhu, Wee Siong Ng, See-Kiong Ng:
Sustainable Pseudo-random Number Generator. SEC 2013: 139-147 - [c53]Karthikeyan Rajasekharan, Aditya P. Mathur, See-Kiong Ng:
Effective Crowdsourcing for Software Feature Ideation in Online Co-Creation Forums. SEKE 2013: 119-124 - 2012
- [j27]Peng Yang, Xiaoli Li, Jian-Ping Mei, Chee Keong Kwoh, See-Kiong Ng:
Positive-unlabeled learning for disease gene identification. Bioinform. 28(20): 2640-2647 (2012) - [j26]Sherine Awad, Nicholas Panchy, See-Kiong Ng, Jin Chen:
Inferring the Regulatory Interaction Models of transcription Factors in transcriptional Regulatory Networks. J. Bioinform. Comput. Biol. 10(5) (2012) - [j25]Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng, Limsoon Wong:
Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data. J. Comput. Biol. 19(9): 1027-1042 (2012) - [j24]Eng-Yeow Cheu, Chai Quek, See-Kiong Ng:
ARPOP: An Appetitive Reward-Based Pseudo-Outer-Product Neural Fuzzy Inference System Inspired From the Operant Conditioning of Feeding Behavior in Aplysia. IEEE Trans. Neural Networks Learn. Syst. 23(2): 317-329 (2012) - [c52]Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng:
Ensemble Based Positive Unlabeled Learning for Time Series Classification. DASFAA (1) 2012: 243-257 - [c51]Wee Siong Ng, See-Kiong Ng, Wei Wu:
PlugCloud - Scaling by Plugging a Personal Cloud Infrastructure. ICPADS 2012: 856-861 - [c50]Eng-Yeow Cheu, Kelvin Sim, See-Kiong Ng, Chai Quek:
Fuzzy associative learning of feature dependency for time series forecasting. IJCNN 2012: 1-7 - [c49]Guimei Liu, Andre Suchitra, Haojun Zhang, Mengling Feng, See-Kiong Ng, Limsoon Wong:
AssocExplorer: an association rule visualization system for exploratory data analysis. KDD 2012: 1536-1539 - 2011
- [c48]Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li:
Integrating Community Question and Answer Archives. AAAI 2011: 1255-1260 - [c47]Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng:
ECODE: Event-Based Community Detection from Social Networks. DASFAA (1) 2011: 22-37 - [c46]Yuan Fang, Mafruz Zaman Ashrafi, See-Kiong Ng:
Privacy beyond Single Sensitive Attribute. DEXA (1) 2011: 187-201 - [c45]Eng-Yeow Cheu, Chai Quek, See-Kiong Ng:
Evolving ensemble of fuzzy models. FUZZ-IEEE 2011: 2668-2675 - [c44]Guimei Liu, Mengling Feng, Yue Wang, Limsoon Wong, See-Kiong Ng, Tzia Liang Mah, Edmund Jon Deoon Lee:
Towards exploratory hypothesis testing and analysis. ICDE 2011: 745-756 - [c43]Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng:
SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification. ICDM 2011: 1008-1013 - [c42]Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng:
Positive Unlabeled Leaning for Time Series Classification. IJCAI 2011: 1421-1426 - 2010
- [j23]Hugo Willy, Fushan Song, Zeyar Aung, See-Kiong Ng, Wing-Kin Sung:
SLiM on Diet: finding short linear motifs on domain interaction interfaces in Protein Data Bank. Bioinform. 26(8): 1036-1042 (2010) - [j22]Min Wu, Xiaoli Li, Hon Nian Chua, Chee Keong Kwoh, See-Kiong Ng:
Integrating diverse biological and computational sources for reliable protein-protein interactions. BMC Bioinform. 11(S-7): S8 (2010) - [c41]Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng:
Distributional Similarity vs. PU Learning for Entity Set Expansion. ACL (2) 2010: 359-364 - [c40]Xiaoli Li, Bing Liu, See-Kiong Ng:
Negative Training Data Can be Harmful to Text Classification. EMNLP 2010: 218-228 - [c39]Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Tong, See-Kiong Ng:
Mining mutation chains in biological sequences. ICDE 2010: 473-484 - [c38]Eng-Yeow Cheu, Chai Quek, See-Kiong Ng:
Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network. IJCNN 2010: 1-8 - [c37]Zeyar Aung, See-Kiong Ng:
An Indexing Scheme for Fast and Accurate Chemical Fingerprint Database Searching. SSDBM 2010: 288-305
2000 – 2009
- 2009
- [j21]Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng:
A core-attachment based method to detect protein complexes in PPI networks. BMC Bioinform. 10 (2009) - [j20]Mafruz Zaman Ashrafi, See-Kiong Ng:
Privacy-preserving e-payments using one-time payment details. Comput. Stand. Interfaces 31(2): 321-328 (2009) - [j19]Suisheng Tang, Zhuo Zhang, Kavitha Gopalakrishnan, Eng-King Tan, See-Kiong Ng:
MDPD: an integrated genetic information resource for Parkinson's disease. Nucleic Acids Res. 37(Database-Issue): 858-862 (2009) - [j18]Frank Eisenhaber, Chee Keong Kwoh, See-Kiong Ng, Wing-Kin Sung, Limsoon Wong:
Brief Overview of Bioinformatics Activities in Singapore. PLoS Comput. Biol. 5(9) (2009) - [c36]Eng-Yeow Cheu, See-Kiong Ng, Hiok Chai Quek:
An Interval type-2 Neural Fuzzy Inference System based on Piaget's action-cognitive paradigm. IEEE Congress on Evolutionary Computation 2009: 925-932 - [c35]Xiaoli Li, Chuan Sheng Foo, Kar Leong Tew, See-Kiong Ng:
Searching for Rising Stars in Bibliography Networks. DASFAA 2009: 288-292 - [c34]Mafruz Zaman Ashrafi, See-Kiong Ng:
Efficient and Anonymous Online Data Collection. DASFAA 2009: 471-485 - [c33]Eng-Yeow Cheu, See-Kiong Ng, Chai Quek:
A hypothalamic and piagetian fuzzy inference system: HtPFIS. FUZZ-IEEE 2009: 1-6 - [c32]Sintiani Dewi Teddy, See-Kiong Ng:
KCMAC-TSK: A fuzzy cerebellar model with localized TSK learning for non-linear system identification. FUZZ-IEEE 2009: 1633-1638 - [c31]Mafruz Zaman Ashrafi, See-Kiong Ng:
Collusion-resistant anonymous data collection method. KDD 2009: 69-78 - [c30]Kelvin Sim, Vivekanand Gopalkrishnan, Hon Nian Chua, See-Kiong Ng:
MACs: Multi-Attribute Co-clusters with High Correlation Information. ECML/PKDD (2) 2009: 398-413 - [c29]Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng:
Positive Unlabeled Learning for Data Stream Classification. SDM 2009: 259-270 - 2008
- [j17]Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng:
Inferring Transcription Factor interactions using a novel HV-SVM classifier. Int. J. Comput. Biol. Drug Des. 1(1): 59-73 (2008) - [j16]Zeyar Aung, Soon-Heng Tan, See-Kiong Ng, Kian-Lee Tan:
Ppiclust: Efficient Clustering of 3D protein-protein Interaction Interfaces. J. Bioinform. Comput. Biol. 6(3): 415-433 (2008) - [c28]Mafruz Zaman Ashrafi, See-Kiong Ng:
Enabling Privacy-Preserving e-Payment Processing. DASFAA 2008: 596-603 - [c27]Hon Nian Chua, Kar Leong Tew, Xiaoli Li, See-Kiong Ng:
A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks. ICTAI (2) 2008: 66-73 - [c26]Eng-Yeow Cheu, Hiok Chai Quek, See-Kiong Ng:
TNFIS: Tree-based neural fuzzy inference system. IJCNN 2008: 398-405 - 2007
- [c25]Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng:
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations. BIBE 2007: 1360-1364 - [c24]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Classify Documents with Only a Small Positive Training Set. ECML 2007: 201-213 - [c23]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
Labeling network motifs in protein interactomes for protein function prediction. ICDE 2007: 546-555 - [c22]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Identify Unexpected Instances in the Test Set. IJCAI 2007: 2802-2807 - [c21]Vincent Yan Fu Tan, See-Kiong Ng:
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers. PinKDD 2007: 116-137 - [c20]Vincent Yan Fu Tan, See-Kiong Ng:
Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining. MLDM 2007: 76-90 - 2006
- [j15]Jesper Jansson, See-Kiong Ng, Wing-Kin Sung, Hugo Willy:
A Faster and More Space-Efficient Algorithm for Inferring Arc-Annotations of RNA Sequences through Alignment. Algorithmica 46(2): 223-245 (2006) - [j14]Jung-Jae Kim, Zhuo Zhang, Jong-Chan Park, See-Kiong Ng:
BioContrasts: extracting and exploiting protein-protein contrastive relations from biomedical literature. Bioinform. 22(5): 597-605 (2006) - [j13]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
Increasing confidence of protein interactomes using network topological metrics. Bioinform. 22(16): 1998-2004 (2006) - [j12]Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng:
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method. BMC Bioinform. 7(S-4) (2006) - [j11]Soon-Heng Tan, Hugo Willy, Wing-Kin Sung, See-Kiong Ng:
A correlated motif approach for finding short linear motifs from protein interaction networks. BMC Bioinform. 7: 502 (2006) - [j10]See-Kiong Ng, Soon-Heng Tan:
Challenges in biological literature mining for online discovery of molecular interaction pathways. Int. J. Comput. Appl. Technol. 27(4): 259-269 (2006) - [j9]Xiaoli Li, Soon-Heng Tan, See-Kiong Ng:
Improving domain-based protein interaction prediction using biologically-significant negative dataset. Int. J. Data Min. Bioinform. 1(2): 138-149 (2006) - [c19]Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng:
Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data. IMSCCS (1) 2006: 171-178 - [c18]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs. KDD 2006: 106-115 - [c17]Zhuo Zhang, Merlin Veronika, See-Kiong Ng, Vladimir B. Bajic:
Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases. PRIB 2006: 133-139 - 2005
- [j8]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
Discovering reliable protein interactions from high-throughput experimental data using network topology. Artif. Intell. Medicine 35(1-2): 37-47 (2005) - [c16]Wei-Khing For, Xiaoming Bao, Woon-Seng Gan, See-Kiong Ng:
Reconfigurable Context-Sensitive Bio-Bridge Middleware for Smart Bio-Laboratories. AINA 2005: 561-566 - [c15]Zhuo Zhang, Suisheng Tang, See-Kiong Ng:
Toward discovering disease-specific gene networks from online literature. APBC 2005: 161-169 - [c14]Xiaoli Li, Soon-Heng Tan, See-Kiong Ng:
Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset. ICCSA (3) 2005: 318-326 - [c13]Xiaoming Bao, See-Kiong Ng, Eng-Huat Chua, Wei-Khing For:
Virtual Lab Dashboard: Ubiquitous Monitoring and Control in a Smart Bio-laboratory. ICCSA (2) 2005: 1167-1176 - [c12]See-Kiong Ng:
Smart bio-laboratories of the future. ISCAS (5) 2005: 4779-4782 - 2004
- [j7]See-Kiong Ng, Limsoon Wong:
Accomplishments and Challenges in Bioinformatics. IT Prof. 6(1): 44-50 (2004) - [j6]See-Kiong Ng, Soon-Heng Tan:
Discovering Protein-protein Interactions. J. Bioinform. Comput. Biol. 1(4): 711-742 (2004) - [j5]Soon-Heng Tan, Zhuo Zhang, See-Kiong Ng:
ADVICE: Automated Detection and Validation of Interaction by Co-Evolution. Nucleic Acids Res. 32(Web-Server-Issue): 69-72 (2004) - [j4]Zhuo Zhang, See-Kiong Ng:
InterWeaver: interaction reports for discovering potential protein interaction partners with online evidence. Nucleic Acids Res. 32(Web-Server-Issue): 73-75 (2004) - [c11]See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong:
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data. APBC 2004: 123-129 - [c10]Soon-Heng Tan, Wing-Kin Sung, See-Kiong Ng:
Discovering Novel Interacting Motif Pairs from Large Protein-Protein Interaction Datasets. BIBE 2004: 568-575 - [c9]Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng:
Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions Using Network Topology. ICTAI 2004: 368-372 - [c8]Haiquan Li, Jinyan Li, Soon-Heng Tan, See-Kiong Ng:
Discovery of Binding Motif Pairs from Protein Complex Structural Data and Protein Interaction Sequence Data. Pacific Symposium on Biocomputing 2004: 312-32 - [c7]Jesper Jansson, See-Kiong Ng, Wing-Kin Sung, Hugo Willy:
A Faster and More Space-Efficient Algorithm for Inferring Arc-Annotations of RNA Sequences Through Alignment. WABI 2004: 302-313 - 2003
- [j3]See-Kiong Ng, Zhuo Zhang, Soon-Heng Tan:
Integrative Approach for Computationally Inferring Protein Domain Interactions. Bioinform. 19(8): 923-929 (2003) - [j2]See-Kiong Ng, Zhuo Zhang, Soon-Heng Tan, Kui Lin:
InterDom: a database of putative interacting protein domains for validating predicted protein interactions and complexes. Nucleic Acids Res. 31(1): 251-254 (2003) - [c6]Vladimir B. Bajic, Vladimir Brusic, Jinyan Li, See-Kiong Ng, Limsoon Wong:
From Informatics to Bioinformatics. APBC 2003: 3-12 - [c5]Jinyan Li, Huiqing Liu, See-Kiong Ng, Limsoon Wong:
Discovery of significant rules for classifying cancer diagnosis data. ECCB 2003: 93-102 - [c4]Jinyan Li, See-Kiong Ng, Limsoon Wong:
Bioinformatics Adventures in Database Research. ICDT 2003: 31-46 - [c3]See-Kiong Ng, Zhuo Zhang, Soon-Heng Tan:
Integrative Approach for Computationally Inferring Protein Domain Interactions. SAC 2003: 115-121 - 2001
- [j1]Alberto Caprara, Giuseppe Lancia, See-Kiong Ng:
Sorting Permutations by Reversals Through Branch-and-Price. INFORMS J. Comput. 13(3): 224-244 (2001) - 2000
- [c2]Alberto Caprara, Giuseppe Lancia, See-Kiong Ng:
Fast practical solution of sorting by reversals. SODA 2000: 12-21
1990 – 1999
- 1998
- [c1]Alberto Caprara, Giuseppe Lancia, See-Kiong Ng:
A column-generation based branch-and-bound algorithm for sorting by reversals. Mathematical Support for Molecular Biology 1998: 213-226
Coauthor Index
Chuan-Sheng Foo
aka: Chuan Sheng Foo
aka: Chuan Sheng Foo
Kian Hsiang Low
aka: Bryan Kian Hsiang Low
aka: Bryan Kian Hsiang Low
Anh Tuan Luu
aka: Luu Anh Tuan
aka: Luu Anh Tuan
Cong-Duy Nguyen
aka: Cong-Duy T. Nguyen
aka: Cong-Duy T. Nguyen
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-20 21:01 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
