See-Kiong Ng

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 143

Top Venues

Publications

Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
Topic Modeling as Multi-Objective Contrastive Optimization. CoRR (2024)
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 (2024)
Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
Prompt Optimization with Human Feedback. CoRR (2024)
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 (2024)
Jinlan Fu, Shenzhen Huangfu, Hang Yan, See-Kiong Ng, Xipeng Qiu
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge. CoRR (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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)
Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
PINNACLE: PINN Adaptive ColLocation and Experimental points selection. ICLR (2024)
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu
GPTScore: Evaluate as You Desire. NAACL-HLT (2024)
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 (2024)
Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu
Chain of Thought Explanation for Dialogue State Tracking. CoRR (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
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 (2024)
Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua
Ask-before-Plan: Proactive Language Agents for Real-World Planning. CoRR (2024)
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)
Nhung Bui, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsian Low
On Newton's Method to Unlearn Neural Networks. CoRR (2024)
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 (2024)
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)
Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng
Mercury: An Efficiency Benchmark for LLM Code Synthesis. CoRR (2024)
Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua
LLM-based Federated Recommendation. CoRR (2024)
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 (2024)
Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan
Learning multivariate temporal point processes via the time-change theorem. AISTATS (2024)
Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng
From Static to Dynamic: Knowledge Metabolism for Large Language Models. AAAI (2024)
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 (2024)
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)
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 (2024)
Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
PINNACLE: PINN Adaptive ColLocation and Experimental points selection. CoRR (2024)
Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. CoRR (2024)
Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng
Chain-of-Thought Improves Text Generation with Citations in Large Language Models. AAAI (2024)
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)
Naibo Wang, Yuchen Deng, Wenjie Feng, Jianwei Yin, See-Kiong Ng
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory. CoRR (2024)
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 (2024)
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 (2024)
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)
Cheng Wang, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs. CoRR (2024)
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)
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)
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 (2023)
Yi Bin, Wenhao Shi, Yujuan Ding, Yang Yang, See-Kiong Ng
Solving Math Word Problems with Reexamination. CoRR (2023)
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)
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)
Richa Hu, Dan Li, See-Kiong Ng, Zibin Zheng
CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks. DASFAA (4) (2023)
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low
Fair yet Asymptotically Equal Collaborative Learning. CoRR (2023)
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)
Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng
From Static to Dynamic: A Continual Learning Framework for Large Language Models. CoRR (2023)
Mingtao Yang, See-Kiong Ng, Jinlan Fu
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System. CoRR (2023)
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)
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 (2023)
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 (2023)
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)
Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng
Socratic Question Generation: A Novel Dataset, Models, and Evaluation. EACL (2023)
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 (2023)
Fiona Anting Tan, See-Kiong Ng
Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs. ISWC (Posters/Demos/Industry) (2023)
Sujatha Das Gollapalli, Beng Heng Ang, See-Kiong Ng
Identifying Early Maladaptive Schemas from Mental Health Question Texts. EMNLP (Findings) (2023)
Fiona Anting Tan, Debdeep Paul, Sahim Yamaura, Miura Koji, See-Kiong Ng
Constructing and Interpreting Causal Knowledge Graphs from News. CoRR (2023)
Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng
Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. ICDM (Workshops) (2023)
Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng
Identifying Checkworthy CURE Claims on Twitter. WWW (2023)
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low
Fair yet Asymptotically Equal Collaborative Learning. ICML (2023)
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu
GPTScore: Evaluate as You Desire. CoRR (2023)
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 (2023)
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) (2023)
Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low
Training-Free Neural Active Learning with Initialization-Robustness Guarantees. ICML (2023)
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) (2023)
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 (2023)
Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng
Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. AAAI (2023)
Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
UniCausal: Unified Benchmark and Repository for Causal Text Mining. DaWaK (2023)
Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
Mitigating Real-World Distribution Shifts in the Fourier Domain. Trans. Mach. Learn. Res. 2023 (2023)
Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria
Beyond Words: A Comprehensive Survey of Sentence Representations. CoRR (2023)
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)
Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
Fourier Sensitivity and Regularization of Computer Vision Models. CoRR (2023)
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 (2023)
Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng
EasySpider: A No-Code Visual System for Crawling the Web. WWW (Companion Volume) (2023)
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 (2023)
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 (2023)
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) (2023)
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 (2023)
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)
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)
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)
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 (2023)
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 (2023)
Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low
Training-Free Neural Active Learning with Initialization-Robustness Guarantees. CoRR (2023)
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)
Jinlan Fu, See-Kiong Ng, Pengfei Liu
Polyglot Prompt: Multilingual Multitask Prompt Training. EMNLP (2022)
Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. CoRR (2022)
Mingzhe Du, Sujatha Das Gollapalli, See-Kiong Ng
NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5. CLEF (Working Notes) (2022)
Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan
Latent Relational Point Process: Network Reconstruction from Discrete Event Data. DEXA (2) (2022)
Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan
Syntax-informed Question Answering with Heterogeneous Graph Transformer. CoRR (2022)
Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan
Syntax-Informed Question Answering with Heterogeneous Graph Transformer. DEXA (1) (2022)
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)
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh
Joint Triplet Loss Learning for Next New POI Recommendation. CoRR (2022)
Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
UniCausal: Unified Benchmark and Model for Causal Text Mining. CoRR (2022)
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)

See-Kiong Ng.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

See-Kiong Ng