| 2026 | ACL | Towards Proactive Information Probing: Customer Service Chatbots Harvesting Value from Conversation. | Chen Huang, Zitan Jiang, Changyi Zou, Wenqiang Lei, See-Kiong Ng |
| 2026 | ACL | Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs. | Zhiyuan Hu, Yucheng Wang, Yufei He, Jiaying Wu, Yilun Zhao, See-Kiong Ng, Cynthia Breazeal, Anh Tuan Luu, Hae Won Park, Bryan Hooi |
| 2026 | ACL | METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models. | Pengfeng Li, Chen Huang, Chaoqun Hao, Hongyao Chen, Xiao-Yong Wei, Wenqiang Lei, See-Kiong Ng |
| 2026 | ACL | Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models. | Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan |
| 2026 | ACL | METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues. | Haofu Yang, Jiaji Liu, Chen Huang, Faguo Wu, Wenqiang Lei, See-Kiong Ng |
| 2026 | ACL | HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding. | Haowei Zhang, Shudong Yang, Jinlan Fu, See-Kiong Ng, Xipeng Qiu |
| 2026 | ACL | Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering. | Weikang Zhang, Zimo Zhu, Zhichuan Yang, Chen Huang, Wenqiang Lei, See-Kiong Ng |
| 2026 | DASFAA | Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning. | Shunyu Wu, Tianyue Li, Yixuan Leng, Jingyi Suo, Jian Lou, Dan Li, See-Kiong Ng |
| 2026 | EACL | Pro-QuEST: A Prompt-chain based Quiz Engine for testing Specialized Technical Product Knowledge. | Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du, See-Kiong Ng, Mohammed Hamzeh |
| 2026 | ECIR | Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking. | Chuang Li, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li, Yang Deng |
| 2026 | WWW | SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information. | Wei Guan, Jian Cao, Qiqi Cai, Jianqi Gao, Jinyu Cai, See-Kiong Ng |
| 2026 | WWW | ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. | Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua |
| 2025 | AAAI | Mixture of Experts as Representation Learner for Deep Multi-View Clustering. | Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng |
| 2025 | AAAI | Towards Verifiable Text Generation with Generative Agent. | Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng |
| 2025 | AAAI | Multi-Scale Contrastive Learning for Video Temporal Grounding. | Thong Thanh Nguyen, Yi Bin, Xiaobao Wu, Zhiyuan Hu, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2025 | AAAI | Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation. | Thong Thanh Nguyen, Xiaobao Wu, Yi Bin, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2025 | AAAI | Aligning Large Language Models for Faithful Integrity Against Opposing Argument. | Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua |
| 2025 | ACL | FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. | Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua |
| 2025 | ACL | CodeArena: A Collective Evaluation Platform for LLM Code Generation. | Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Yuhao Qing, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng |
| 2025 | ACL | LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. | Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan WangYan, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi |
| 2025 | ACL | Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency. | Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin |
| 2025 | ACL | Knowledge Boundary of Large Language Models: A Survey. | Moxin Li, Yong Zhao, Wenxuan Zhang, Shuaiyi Li, Wenya Xie, See-Kiong Ng, Tat-Seng Chua, Yang Deng |
| 2025 | ACL | WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. | Xinyang Lu, Jingtan Wang, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | ACL | How Does Response Length Affect Long-Form Factuality. | James Xu Zhao, Jimmy Z. J. Liu, Bryan Hooi, See-Kiong Ng |
| 2025 | CCS | Rethinking Machine Unlearning in Image Generation Models. | Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng |
| 2025 | CIKM | Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. | Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng |
| 2025 | COLING | PIRsuader: A Persuasive Chatbot for Mitigating Psychological Insulin Resistance in Type-2 Diabetic Patients. | Sujatha Das Gollapalli, See-Kiong Ng |
| 2025 | EMNLP | Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations. | Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua |
| 2025 | EMNLP | AgentPro: Enhancing LLM Agents with Automated Process Supervision. | Yuchen Deng, Shichen Fan, Naibo Wang, Xinkui Zhao, See-Kiong Ng |
| 2025 | EMNLP | On Assigning Product and Software Codes to Customer Service Requests with Large Language Models. | Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du, See-Kiong Ng, Mohammed Hamzeh |
| 2025 | EMNLP | Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks. | Wenyang Hu, Gregory Kang Ruey Lau, Diwen Liu, Jizhuo Chen, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | EMNLP | Uncovering Scaling Laws for Large Language Models via Inverse Problems. | Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | ICDE | Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract). | Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenhua Liu |
| 2025 | ICLR | Efficient Inference for Large Language Model-based Generative Recommendation. | Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2025 | ICLR | Confidence Elicitation: A New Attack Vector for Large Language Models. | Brian Formento, Chuan-Sheng Foo, See-Kiong Ng |
| 2025 | ICLR | CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs. | Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng |
| 2025 | ICLR | PIED: Physics-Informed Experimental Design for Inverse Problems. | Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | ICLR | Efficient Top-m Data Values Identification for Data Selection. | Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2025 | ICML | Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection. | Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng |
| 2025 | ICML | Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. | Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu |
| 2025 | IJCAI | Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioning. | Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng |
| 2025 | ICWSM | PHAnToM: Persona-Based Prompting Has an Effect on Theory-of-Mind Reasoning in Large Language Models. | Gerard Yeo, Fiona Anting Tan, Kokil Jaidka, Shaz Furniturewala, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Yang Liu, See-Kiong Ng |
| 2025 | NAACL | A Federated Framework for LLM-based Recommendation. | Jujia Zhao, Wenjie Wang, Chen Xu, See-Kiong Ng, Tat-Seng Chua |
| 2025 | SIGIR | Order-agnostic Identifier for Large Language Model-based Generative Recommendation. | Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua |
| 2025 | SIGIR | NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. | Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | AAAI | From Static to Dynamic: Knowledge Metabolism for Large Language Models. | Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng |
| 2024 | AAAI | Chain-of-Thought Improves Text Generation with Citations in Large Language Models. | Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng |
| 2024 | AAAI | READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. | Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | ACL | On the Multi-turn Instruction Following for Conversational Web Agents. | Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua |
| 2024 | ACL | Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. | Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua |
| 2024 | ACL | Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. | Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | AISTATS | Learning multivariate temporal point processes via the time-change theorem. | Guilherme Augusto Zagatti, See-Kiong Ng, Stphane Bressan |
| 2024 | CIKM | Learnable Item Tokenization for Generative Recommendation. | Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2024 | DASFAA | GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. | Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng |
| 2024 | EACL | A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. | Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria |
| 2024 | ECAI | Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. | Sujatha Das Gollapalli, Beng Heng Ang, Mingzhe Du, See-Kiong Ng |
| 2024 | ECCV | Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. | Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan |
| 2024 | EMNLP | Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations. | Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua |
| 2024 | EMNLP | Encoding and Controlling Global Semantics for Long-form Video Question Answering. | Thong Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | EMNLP | Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. | Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee |
| 2024 | EMNLP | MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. | Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng |
| 2024 | EMNLP | Ask-before-Plan: Proactive Language Agents for Real-World Planning. | Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua |
| 2024 | ICLR | Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. | Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua |
| 2024 | ICLR | PINNACLE: PINN Adaptive ColLocation and Experimental points selection. | Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2024 | ICLR | Topic Modeling as Multi-Objective Contrastive Optimization. | Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2024 | ICML | Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. | Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low |
| 2024 | ICML | Distributionally Robust Data Valuation. | Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2024 | IJCAI | LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. | Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng |
| 2024 | IJCAI | From 2D to 3D: AISG-SLA Visual Localization Challenge. | 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 Bkman, Johan Edstedt, Kirill Brodt, Clmentin Boittiaux, Maxime Ferrera, Stepan Konev |
| 2024 | KDD | Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. | Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2024 | NAACL | SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks. | Brian Formento, Wenjie Feng, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng |
| 2024 | NAACL | GPTScore: Evaluate as You Desire. | Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu |
| 2023 | AAAI | Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. | Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng |
| 2023 | DASFAA | CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks. | Richa Hu, Dan Li, See-Kiong Ng, Zibin Zheng |
| 2023 | DaWaK | UniCausal: Unified Benchmark and Repository for Causal Text Mining. | Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng |
| 2023 | EACL | Socratic Question Generation: A Novel Dataset, Models, and Evaluation. | Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng |
| 2023 | EACL | Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study. | Brian Formento, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng |
| 2023 | EMNLP | Non-Autoregressive Math Word Problem Solver with Unified Tree Structure. | Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen |
| 2023 | EMNLP | Identifying Early Maladaptive Schemas from Mental Health Question Texts. | Sujatha Das Gollapalli, Beng Heng Ang, See-Kiong Ng |
| 2023 | EMNLP | DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. | Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu |
| 2023 | ICDM | Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning. | Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng |
| 2023 | ICDM | Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. | Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng |
| 2023 | ICML | Training-Free Neural Active Learning with Initialization-Robustness Guarantees. | Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low |
| 2023 | ICML | Fair yet Asymptotically Equal Collaborative Learning. | Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low |
| 2023 | IJCAI | COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks. | Fangyi Zhu, See-Kiong Ng, Stphane Bressan |
| 2023 | IJCNLP | RECESS: Resource for Extracting Cause, Effect, and Signal Spans. | Fiona Anting Tan, Hansi Hettiarachchi, Ali Hrriyetoglu, Nelleke Oostdijk, Tommaso Caselli, Tadashi Nomoto, Onur Uca, Farhana Ferdousi Liza, See-Kiong Ng |
| 2023 | IJCNN | SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. | Yingjie Liu, Xian Wei, See-Kiong Ng, Tongtong Zhang, Mingsong Chen, Xuan Tang |
| 2023 | WWW | Identifying Checkworthy CURE Claims on Twitter. | Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng |
| 2023 | WWW | EasySpider: A No-Code Visual System for Crawling the Web. | Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng |
| 2022 | AAAI | PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions. | Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim |
| 2022 | AAAI | LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. | Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng |
| 2022 | CIKM | Trusted Media Challenge Dataset and User Study. | Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng |
| 2022 | COLING | QSTS: A Question-Sensitive Text Similarity Measure for Question Generation. | Sujatha Das Gollapalli, See-Kiong Ng |
| 2022 | COLING | CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. | Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng |
| 2022 | DEXA | Latent Relational Point Process: Network Reconstruction from Discrete Event Data. | Guilherme Augusto Zagatti, See-Kiong Ng, Stphane Bressan |
| 2022 | DEXA | Syntax-Informed Question Answering with Heterogeneous Graph Transformer. | Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stphane Bressan |
| 2022 | EMNLP | Polyglot Prompt: Multilingual Multitask Prompt Training. | Jinlan Fu, See-Kiong Ng, Pengfei Liu |
| 2022 | ICDE | MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. | Panpan Qi, Dan Li, See-Kiong Ng |
| 2022 | NAACL | Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. | Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu |
| 2022 | SIGIR | Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. | Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan |
| 2022 | WACV | A Context-enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection. | Yifang Yin, Wenmiao Hu, An Tran, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng |
| 2021 | CIKM | Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees. | Panpan Qi, Wei Wang, Lei Zhu, See-Kiong Ng |
| 2021 | IJCNN | Special Symbol Attacks On NLP Systems. | Brian Formento, See-Kiong Ng, Chuan-Sheng Foo |
| 2021 | ICWSM | Modeling Emoji Generation for Emotion Analysis of Social Media Short Texts. | Sujatha Das Gollapalli, See-Kiong Ng |
| 2021 | MDM | A Large-scale Disease Outbreak Analytics System based on Wi-Fi Session Logs. | Guilherme Augusto Zagatti, Tingfeng Wu, See-Kiong Ng, Stphane Bressan |
| 2021 | RANLP | On Generating Fact-Infused Question Variations. | Arthur Deschamps, Sujatha Das Gollapalli, See-Kiong Ng |
| 2021 | WSDM | Origin-Aware Next Destination Recommendation with Personalized Preference Attention. | Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan |
| 2020 | CIKM | STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. | Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan |
| 2020 | EMNLP | ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection. | Sujatha Das Gollapalli, Polina Rozenshtein, See-Kiong Ng |
| 2020 | IJCAI | Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. | Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng |
| 2020 | ICTAI | VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks. | Dan Li, Hang Liu, See-Kiong Ng |
| 2020 | WWW | A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces. | Yifang Yin, Jagannadan Varadarajan, Guanfeng Wang, Xueou Wang, Dhruva Sahrawat, Roger Zimmermann, See-Kiong Ng |
| 2019 | ICANN | MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. | Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng |
| 2016 | EMNLP | Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network. | Anh Tuan Luu, Yi Tay, Siu Cheung Hui, See-Kiong Ng |
| 2015 | EMNLP | Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction. | Anh Tuan Luu, Jung-Jae Kim, See-Kiong Ng |
| 2014 | DASFAA | A*DAX: A Platform for Cross-Domain Data Linking, Sharing and Analytics. | 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 |
| 2014 | EMNLP | Taxonomy Construction Using Syntactic Contextual Evidence. | Anh Tuan Luu, Jung-Jae Kim, See-Kiong Ng |
| 2013 | SEKE | Effective Crowdsourcing for Software Feature Ideation in Online Co-Creation Forums. | Karthikeyan Rajasekharan, Aditya P. Mathur, See-Kiong Ng |
| 2013 | SEC | Sustainable Pseudo-random Number Generator. | Huafei Zhu, Wee Siong Ng, See-Kiong Ng |
| 2012 | DASFAA | Ensemble Based Positive Unlabeled Learning for Time Series Classification. | Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng |
| 2012 | ICPADS | PlugCloud - Scaling by Plugging a Personal Cloud Infrastructure. | Wee Siong Ng, See-Kiong Ng, Wei Wu |
| 2012 | IJCNN | Fuzzy associative learning of feature dependency for time series forecasting. | Eng-Yeow Cheu, Kelvin Sim, See-Kiong Ng, Chai Quek |
| 2012 | KDD | AssocExplorer: an association rule visualization system for exploratory data analysis. | Guimei Liu, Andre Suchitra, Haojun Zhang, Mengling Feng, See-Kiong Ng, Limsoon Wong |
| 2011 | AAAI | Integrating Community Question and Answer Archives. | Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li |
| 2011 | DASFAA | ECODE: Event-Based Community Detection from Social Networks. | Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng |
| 2011 | DEXA | Privacy beyond Single Sensitive Attribute. | Yuan Fang, Mafruz Zaman Ashrafi, See-Kiong Ng |
| 2011 | ICDE | Towards exploratory hypothesis testing and analysis. | Guimei Liu, Mengling Feng, Yue Wang, Limsoon Wong, See-Kiong Ng, Tzia Liang Mah, Edmund Jon Deoon Lee |
| 2011 | ICDM | SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification. | Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng |
| 2011 | IJCAI | Positive Unlabeled Leaning for Time Series Classification. | Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng |
| 2010 | ACL | Distributional Similarity vs. PU Learning for Entity Set Expansion. | Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng |
| 2010 | EMNLP | Negative Training Data Can be Harmful to Text Classification. | Xiaoli Li, Bing Liu, See-Kiong Ng |
| 2010 | ICDE | Mining mutation chains in biological sequences. | Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Tong, See-Kiong Ng |
| 2010 | IJCNN | Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network. | Eng-Yeow Cheu, Chai Quek, See-Kiong Ng |
| 2010 | SSDBM | An Indexing Scheme for Fast and Accurate Chemical Fingerprint Database Searching. | Zeyar Aung, See-Kiong Ng |
| 2009 | CEC | An Interval type-2 Neural Fuzzy Inference System based on Piaget's action-cognitive paradigm. | Eng-Yeow Cheu, See-Kiong Ng, Hiok Chai Quek |
| 2009 | DASFAA | Efficient and Anonymous Online Data Collection. | Mafruz Zaman Ashrafi, See-Kiong Ng |
| 2009 | DASFAA | Searching for Rising Stars in Bibliography Networks. | Xiaoli Li, Chuan Sheng Foo, Kar Leong Tew, See-Kiong Ng |
| 2009 | KDD | Collusion-resistant anonymous data collection method. | Mafruz Zaman Ashrafi, See-Kiong Ng |
| 2009 | SDM | Positive Unlabeled Learning for Data Stream Classification. | Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng |
| 2008 | DASFAA | Enabling Privacy-Preserving e-Payment Processing. | Mafruz Zaman Ashrafi, See-Kiong Ng |
| 2008 | IJCNN | TNFIS: Tree-based neural fuzzy inference system. | Eng-Yeow Cheu, Hiok Chai Quek, See-Kiong Ng |
| 2008 | ICTAI | A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks. | Hon Nian Chua, Kar Leong Tew, Xiaoli Li, See-Kiong Ng |
| 2007 | BIBE | An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations. | Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng |
| 2007 | ICDE | Labeling network motifs in protein interactomes for protein function prediction. | Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng |
| 2007 | IJCAI | Learning to Identify Unexpected Instances in the Test Set. | Xiaoli Li, Bing Liu, See-Kiong Ng |
| 2007 | KDD | Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers. | Vincent Yan Fu Tan, See-Kiong Ng |
| 2006 | KDD | NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs. | Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng |
| 2005 | AINA | Reconfigurable Context-Sensitive Bio-Bridge Middleware for Smart Bio-Laboratories. | Wei-Khing For, Xiaoming Bao, Woon-Seng Gan, See-Kiong Ng |
| 2005 | APBC | Toward discovering disease-specific gene networks from online literature. | Zhuo Zhang, Suisheng Tang, See-Kiong Ng |
| 2005 | ICCSA | Virtual Lab Dashboard: Ubiquitous Monitoring and Control in a Smart Bio-laboratory. | Xiaoming Bao, See-Kiong Ng, Eng-Huat Chua, Wei-Khing For |
| 2005 | ICCSA | Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset. | Xiaoli Li, Soon-Heng Tan, See-Kiong Ng |
| 2005 | ISCAS | Smart bio-laboratories of the future. | See-Kiong Ng |
| 2004 | APBC | Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data. | See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong |
| 2004 | BIBE | Discovering Novel Interacting Motif Pairs from Large Protein-Protein Interaction Datasets. | Soon-Heng Tan, Wing-Kin Sung, See-Kiong Ng |
| 2004 | ICTAI | Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions Using Network Topology. | Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng |
| 2004 | PSB | Discovery of Binding Motif Pairs from Protein Complex Structural Data and Protein Interaction Sequence Data. | Haiquan Li, Jinyan Li, Soon-Heng Tan, See-Kiong Ng |
| 2004 | WABI | A Faster and More Space-Efficient Algorithm for Inferring Arc-Annotations of RNA Sequences Through Alignment. | Jesper Jansson, See-Kiong Ng, Wing-Kin Sung, Hugo Willy |
| 2003 | APBC | From Informatics to Bioinformatics. | Vladimir B. Bajic, Vladimir Brusic, Jinyan Li, See-Kiong Ng, Limsoon Wong |
| 2003 | ECCB | Discovery of significant rules for classifying cancer diagnosis data. | Jinyan Li, Huiqing Liu, See-Kiong Ng, Limsoon Wong |
| 2003 | ICDT | Bioinformatics Adventures in Database Research. | Jinyan Li, See-Kiong Ng, Limsoon Wong |
| 2003 | SAC | Integrative Approach for Computationally Inferring Protein Domain Interactions. | See-Kiong Ng, Zhuo Zhang, Soon-Heng Tan |
| 2000 | SODA | Fast practical solution of sorting by reversals. | Alberto Caprara, Giuseppe Lancia, See-Kiong Ng |