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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
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