See-Kiong Ng - RankMe

380 papers A* 75A 14B 25C 5Misc 4Journal 193Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analyzing Reasoning Consistency in Large Multimodal Models under Cross-Modal Conflicts. CoRR Zhihao Zhu, Jiafeng Liang, Shixin Jiang, Jinlan Fu, Ming Liu, Guanglu Sun, See-Kiong Ng, Bing Qin
2026	J	`jnl`	Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning. CoRR Zhiyuan Hu, Yunhai Hu, Juncheng Liu, Shuyue Stella Li, Yucheng Wang, Zhen Xu, See-Kiong Ng, Anh Tuan Luu, Xinxing Xu, Bryan Hooi, Cynthia Breazeal, Hae Won Park
2026	J	`jnl`	FreeAct: Freeing Activations for LLM Quantization. CoRR Xiaohao Liu, Xiaobo Xia, Manyi Zhang, Ji-Fu Li, Xianzhi Yu, Fei Shen, Xiu Su, See-Kiong Ng, Tat-Seng Chua
2026	J	`jnl`	FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs. CoRR Qian Chen, Jinlan Fu, Changsong Li, See-Kiong Ng, Xipeng Qiu
2026	J	`jnl`	HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding. CoRR Haowei Zhang, Shudong Yang, Jinlan Fu, See-Kiong Ng, Xipeng Qiu
2026	—	`conf`	Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking. ECIR (2) Chuang Li, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li, Yang Deng
2026	J	`jnl`	Large language models for explainable fault diagnosis of machines. Eng. Appl. Artif. Intell. Hamzah A. A. M. Qaid, Bo Zhang, Shuai Su, Dan Li, See-Kiong Ng, Wei Li
2026	J	`jnl`	MoEGAD: A Mixture-of-Experts Framework With Pseudo-Anomaly Generation for Graph-Level Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Jinyu Cai, Yunhe Zhang, Pengyang Wang, See-Kiong Ng
2026	J	`jnl`	MsFormer: Enabling Robust Predictive Maintenance Services for Industrial Devices. CoRR Jiahui Zhou, Dan Li, Ruibing Jin, Jian Lou, Yanran Zhao, Zhenghua Chen, Zigui Jiang, See-Kiong Ng
2026	—	`conf`	Pro-QuEST: A Prompt-chain based Quiz Engine for testing Specialized Technical Product Knowledge. EACL (System Demonstrations) Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du, See-Kiong Ng, Mohammed Hamzeh
2026	J	`jnl`	Restoring missing gaps and intervals via global consistency and local coherence. Expert Syst. Appl. Richa Hu, Dan Li, Jian Lou, Ruibing Jin, Bingxin Lin, Wenzhong Li, See-Kiong Ng, Zibin Zheng
2026	J	`jnl`	Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs. CoRR Zhiyuan Hu, Yucheng Wang, Yufei He, Jiaying Wu, Yilun Zhao, See-Kiong Ng, Cynthia Breazeal, Anh Tuan Luu, Hae Won Park, Bryan Hooi
2026	A*	`conf`	SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information. WWW Wei Guan, Jian Cao, Qiqi Cai, Jianqi Gao, Jinyu Cai, See-Kiong Ng
2026	J	`jnl`	SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models. CoRR Renyang Liu, Kangjie Chen, Han Qiu, Jie Zhang, Kwok-Yan Lam, Tianwei Zhang, See-Kiong Ng
2026	J	`jnl`	Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model. CoRR Tianyi Wu, Mingzhe Du, Yue Liu, Chengran Yang, Terry Yue Zhuo, Jiaheng Zhang, See-Kiong Ng
2026	A*	`conf`	ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. WWW Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua
2026	J	`jnl`	ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. CoRR Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua
2026	J	`jnl`	Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning. CoRR Jiahui Zhou, Dan Li, Boxin Li, Xiao Zhang, Erli Meng, Lin Li, Zhuomin Chen, Jian Lou, See-Kiong Ng
2025	—	`conf`	A Federated Framework for LLM-based Recommendation. NAACL (Findings) Jujia Zhao, Wenjie Wang, Chen Xu, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents. CoRR Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou, Shixin Jiang, Zekun Wang, Changkai Ji, Zhihao Zhu, Runxuan Liu, Tao Ren, Jinlan Fu, See-Kiong Ng, Xia Liang, Ming Liu, Bing Qin
2025	J	`jnl`	ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment. CoRR Xiaoqiang Lin, Arun Verma, Zhongxiang Dai, Daniela Rus, See-Kiong Ng, Bryan Kian Hsiang Low
2025	J	`jnl`	Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. CoRR Mingzhe Du, Luu Tuan Tuan, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng
2025	A*	`conf`	AgentPro: Enhancing LLM Agents with Automated Process Supervision. EMNLP Yuchen Deng, Shichen Fan, Naibo Wang, Xinkui Zhao, See-Kiong Ng
2025	A*	`conf`	Aligning Large Language Models for Faithful Integrity Against Opposing Argument. AAAI Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Aligning Large Language Models for Faithful Integrity Against Opposing Argument. CoRR Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction. CoRR Zekai Zhang, Dan Li, Shunyu Wu, Junya Cai, Bo Zhang, See-Kiong Ng, Zibin Zheng
2025	J	`jnl`	Benchmarking LLMs for Unit Test Generation from Real-World Functions. CoRR Dong Huang, Jie M. Zhang, Mark Harman, Qianru Zhang, Mingzhe Du, See-Kiong Ng
2025	J	`jnl`	Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts. CoRR Zhaomin Wu, Mingzhe Du, See-Kiong Ng, Bingsheng He
2025	J	`jnl`	CARE: Contextual Adaptation of Recommenders for LLM-based Conversational Recommendation. CoRR Chuang Li, Yang Deng, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li
2025	A*	`conf`	CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs. ICLR Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng
2025	J	`jnl`	CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs. CoRR Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng
2025	J	`jnl`	Calibrated Multimodal Representation Learning with Missing Modalities. CoRR Xiaohao Liu, Xiaobo Xia, Jiaheng Wei, Shuo Yang, Xiu Su, See-Kiong Ng, Tat-Seng Chua
2025	—	`conf`	CodeArena: A Collective Evaluation Platform for LLM Code Generation. ACL (3) Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Yuhao Qing, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng
2025	J	`jnl`	CodeArena: A Collective Evaluation Platform for LLM Code Generation. CoRR Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng
2025	A*	`conf`	Confidence Elicitation: A New Attack Vector for Large Language Models. ICLR Brian Formento, Chuan-Sheng Foo, See-Kiong Ng
2025	J	`jnl`	Confidence Elicitation: A New Attack Vector for Large Language Models. CoRR Brian Formento, Chuan Sheng Foo, See-Kiong Ng
2025	J	`jnl`	Continual Multimodal Contrastive Learning. CoRR Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua
2025	—	`conf`	Cyber-Attack Detection and Localization for SCADA system of CPSs. Forge@ICSE Dan Li, Junnan Tang, Shunyu Wu, Zibin Zheng, See-Kiong Ng
2025	J	`jnl`	DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs. CoRR Hao Luan, See-Kiong Ng, Chun Kai Ling
2025	A	`conf`	DUPRE: Data Utility Prediction for Efficient Data Valuation. AAMAS Kieu Thao Nguyen Pham, Rachael Hwee Ling Sim, Quoc Phong Nguyen, See-Kiong Ng, Bryan Kian Hsiang Low
2025	J	`jnl`	DUPRE: Data Utility Prediction for Efficient Data Valuation. CoRR Kieu Thao Nguyen Pham, Rachael Hwee Ling Sim, Quoc Phong Nguyen, See-Kiong Ng, Bryan Kian Hsiang Low
2025	A*	`conf`	Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks. EMNLP Wenyang Hu, Gregory Kang Ruey Lau, Diwen Liu, Jizhuo Chen, See-Kiong Ng, Bryan Kian Hsiang Low
2025	J	`jnl`	EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code. CoRR Yuhao Qing, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu-Ming Yiu, Dong Huang, See-Kiong Ng, Luu Anh Tuan
2025	A*	`conf`	Efficient Inference for Large Language Model-based Generative Recommendation. ICLR Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	Efficient Top-m Data Values Identification for Data Selection. ICLR Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low
2025	J	`jnl`	Evidence-based multimodal fusion on structured EHRs and free-text notes for ICU outcome prediction. CoRR Yucheng Ruan, Daniel J. Tan, See-Kiong Ng, Ling Huang, Mengling Feng
2025	J	`jnl`	Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models. CoRR Xiaoyan Zhao, Yang Deng, Wenjie Wang, Hongzhan Lin, Hong Cheng, Rui Zhang, See-Kiong Ng, Tat-Seng Chua
2025	—	`conf`	FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. ACL (1) Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. CoRR Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. ICML Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu
2025	J	`jnl`	GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction. CoRR Wei Guan, Jian Cao, Jinyu Cai, Qiqi Cai, Jianqi Gao, See-Kiong Ng
2025	J	`jnl`	Geneshift: Impact of different scenario shift on Jailbreaking LLM. CoRR Tianyi Wu, Zhiwei Xue, Yue Liu, Jiaheng Zhang, Bryan Hooi, See-Kiong Ng
2025	J	`jnl`	Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation. CoRR Zhiyuan Hu, Shiyun Xiong, Yifan Zhang, See-Kiong Ng, Anh Tuan Luu, Bo An, Shuicheng Yan, Bryan Hooi
2025	—	`conf`	How Does Response Length Affect Long-Form Factuality. ACL (Findings) James Xu Zhao, Jimmy Z. J. Liu, Bryan Hooi, See-Kiong Ng
2025	J	`jnl`	How Does Response Length Affect Long-Form Factuality. CoRR James Xu Zhao, Jimmy Z. J. Liu, Bryan Hooi, See-Kiong Ng
2025	J	`jnl`	Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning. CoRR Renyang Liu, Guanlin Li, Tianwei Zhang, See-Kiong Ng
2025	A	`conf`	Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. CIKM Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng
2025	J	`jnl`	Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. CoRR Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng
2025	A*	`conf`	Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract). ICDE Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenhua Liu
2025	—	`conf`	Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency. ACL (1) Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
2025	J	`jnl`	Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency. CoRR Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
2025	—	`conf`	Knowledge Boundary of Large Language Models: A Survey. ACL (1) Moxin Li, Yong Zhao, Wenxuan Zhang, Shuaiyi Li, Wenya Xie, See-Kiong Ng, Tat-Seng Chua, Yang Deng
2025	J	`jnl`	L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models. CoRR Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection. ICML Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng
2025	J	`jnl`	Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning. CoRR Shunyu Wu, Tianyue Li, Yixuan Leng, Jingyi Suo, Jian Lou, Dan Li, See-Kiong Ng
2025	—	`conf`	LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. ACL (1) 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	J	`jnl`	MASim: Multilingual Agent-Based Simulation for Social Science. CoRR Xuan Zhang, Wenxuan Zhang, Anxu Wang, See-Kiong Ng, Yang Deng
2025	J	`jnl`	MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation. CoRR Jinlan Fu, Shenzhen Huangfu, Hao Fei, Yichong Huang, Xiaoyu Shen, Xipeng Qiu, See-Kiong Ng
2025	A*	`conf`	Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations. EMNLP Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	Mixture of Experts as Representation Learner for Deep Multi-View Clustering. AAAI Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng
2025	A*	`conf`	Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation. AAAI Thong Thanh Nguyen, Xiaobao Wu, Yi Bin, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2025	J	`jnl`	Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model. CoRR Naibo Wang, Yuchen Deng, Shichen Fan, Jianwei Yin, See-Kiong Ng
2025	A*	`conf`	Multi-Scale Contrastive Learning for Video Temporal Grounding. AAAI Thong Thanh Nguyen, Yi Bin, Xiaobao Wu, Zhiyuan Hu, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2025	J	`jnl`	Multimodal Mathematical Reasoning with Diverse Solving Perspective. CoRR Wenhao Shi, Zhiqiang Hu, Yi Bin, Yang Yang, See-Kiong Ng, Heng Tao Shen
2025	A*	`conf`	NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. SIGIR Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua
2025	J	`jnl`	NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. CoRR Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua
2025	J	`jnl`	Navigating the Helpfulness-Truthfulness Trade-Off with Uncertainty-Aware Instruction Fine-Tuning. CoRR Tianyi Wu, Jingwei Ni, Bryan Hooi, Jiaheng Zhang, Elliott Ash, See-Kiong Ng, Mrinmaya Sachan, Markus Leippold
2025	J	`jnl`	NextQuill: Causal Preference Modeling for Enhancing LLM Personalization. CoRR Xiaoyan Zhao, Juntao You, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Nexus: Execution-Grounded Multi-Agent Test Oracle Synthesis. CoRR Dong Huang, Mingzhe Du, Jie M. Zhang, Zheng Lin, Meng Luo, Qianru Zhang, See-Kiong Ng
2025	—	`conf`	On Assigning Product and Software Codes to Customer Service Requests with Large Language Models. EMNLP (Industry Track) Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du, See-Kiong Ng, Mohammed Hamzeh
2025	J	`jnl`	OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System. CoRR Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng
2025	A*	`conf`	Order-agnostic Identifier for Large Language Model-based Generative Recommendation. SIGIR Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Order-agnostic Identifier for Large Language Model-based Generative Recommendation. CoRR Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua
2025	A	`conf`	PHAnToM: Persona-Based Prompting Has an Effect on Theory-of-Mind Reasoning in Large Language Models. ICWSM Gerard Yeo, Fiona Tan An Ting, Kokil Jaidka, Shaz Furniturewala, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Yang Liu, See-Kiong Ng
2025	A*	`conf`	PIED: Physics-Informed Experimental Design for Inverse Problems. ICLR Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low
2025	J	`jnl`	PIED: Physics-Informed Experimental Design for Inverse Problems. CoRR Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low
2025	B	`conf`	PIRsuader: A Persuasive Chatbot for Mitigating Psychological Insulin Resistance in Type-2 Diabetic Patients. COLING Sujatha Das Gollapalli, See-Kiong Ng
2025	J	`jnl`	Principled Multimodal Representation Learning. CoRR Xiaohao Liu, Xiaobo Xia, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Projected Coupled Diffusion for Test-Time Constrained Joint Generation. CoRR Hao Luan, Yi Xian Goh, See-Kiong Ng, Chun Kai Ling
2025	J	`jnl`	Reasoning with Confidence: Efficient Verification of LLM Reasoning Steps via Uncertainty Heads. CoRR Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan
2025	A*	`conf`	Rethinking Machine Unlearning in Image Generation Models. CCS Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng
2025	J	`jnl`	Rethinking Machine Unlearning in Image Generation Models. CoRR Renyang Liu, Wenjie Feng, Tianwei Zhang, Wei Zhou, Xueqi Cheng, See-Kiong Ng
2025	J	`jnl`	RoboOmni: Proactive Robot Manipulation in Omni-modal Context. CoRR Siyin Wang, Jinlan Fu, Feihong Liu, Xinzhe He, Huangxuan Wu, Junhao Shi, Kexin Huang, Zhaoye Fei, Jingjing Gong, Zuxuan Wu, Yu-Gang Jiang, See-Kiong Ng, Tat-Seng Chua, Xipeng Qiu
2025	J	`jnl`	SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs. CoRR Haoxuan Li, Yi Bin, Yunshan Ma, Guoyin Wang, Yang Yang, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities. CoRR Adam Goodge, Wee Siong Ng, Bryan Hooi, See-Kiong Ng
2025	J	`jnl`	TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment. CoRR Shunyu Wu, Dan Li, Haozheng Ye, Zhuomin Chen, Jiahui Zhou, Jian Lou, Zibin Zheng, See-Kiong Ng
2025	A*	`conf`	Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioning. IJCAI Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng
2025	J	`jnl`	Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding. CoRR Thong Nguyen, Zhiyuan Hu, Xu Lin, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2025	J	`jnl`	Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet. CoRR James Xu Zhao, Bryan Hooi, See-Kiong Ng
2025	A*	`conf`	Towards Modality Generalization: A Benchmark and Prospective Analysis. ACM Multimedia Xiaohao Liu, Xiaobo Xia, Zhuo Huang, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	Towards Verifiable Text Generation with Generative Agent. AAAI Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng
2025	J	`jnl`	Traffic Sign Localization and Orientation Classification for Automated Map Updating. IEEE Trans. Circuits Syst. Video Technol. Xianjing Han, Wenmiao Hu, Xuemeng Song, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2025	—	`conf`	Uncovering Scaling Laws for Large Language Models via Inverse Problems. EMNLP (Findings) 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	J	`jnl`	Uncovering Scaling Laws for Large Language Models via Inverse Problems. CoRR 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	J	`jnl`	Unsupervised Few-Shot Food Recognition With Intra-Class Variation and Inter-Class Similarity Modeling. IEEE Trans. Circuits Syst. Video Technol. Na Zheng, Xuemeng Song, Wai Teng Tang, See-Kiong Ng, Liqiang Nie, Roger Zimmermann
2025	—	`conf`	WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. ACL (Findings) Xinyang Lu, Jingtan Wang, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
2025	J	`jnl`	WaterDrum: Watermarking for Data-centric Unlearning Metric. CoRR Xinyang Lu, Xinyuan Niu, Gregory Kang Ruey Lau, Bui Thi Cam Nhung, Rachael Hwee Ling Sim, Fanyu Wen, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
2024	—	`conf`	A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. EACL (1) Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria
2024	J	`jnl`	ANID: How Far Are We? Evaluating the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance. CoRR Renyang Liu, Ziyu Lyu, Wei Zhou, See-Kiong Ng
2024	J	`jnl`	Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis. Nat. Lang. Eng. Feng Hou, Ruili Wang, See-Kiong Ng, Fangyi Zhu, Michael Witbrock, Steven F. Cahan, Lily Chen, Xiaoyun Jia
2024	—	`conf`	Ask-before-Plan: Proactive Language Agents for Real-World Planning. EMNLP (Findings) Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua
2024	J	`jnl`	Ask-before-Plan: Proactive Language Agents for Real-World Planning. CoRR Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua
2024	A*	`conf`	Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2024	J	`jnl`	CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. CoRR Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng
2024	J	`jnl`	Chain of Thought Explanation for Dialogue State Tracking. CoRR Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu
2024	—	`conf`	Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. ACL (1) Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua
2024	A*	`conf`	Chain-of-Thought Improves Text Generation with Citations in Large Language Models. AAAI Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng
2024	A	`conf`	Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. ECAI Sujatha Das Gollapalli, Beng Heng Ang, Mingzhe Du, See-Kiong Ng
2024	J	`jnl`	Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory. CoRR Naibo Wang, Yuchen Deng, Wenjie Feng, Jianwei Yin, See-Kiong Ng
2024	J	`jnl`	Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks. CoRR Gregory Kang Ruey Lau, Wenyang Hu, Diwen Liu, Jizhuo Chen, See-Kiong Ng, Bryan Kian Hsiang Low
2024	A*	`conf`	Distributionally Robust Data Valuation. ICML Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low
2024	A*	`conf`	Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations. EMNLP Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua
2024	J	`jnl`	Efficient Inference for Large Language Model-based Generative Recommendation. CoRR Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2024	A*	`conf`	Encoding and Controlling Global Semantics for Long-form Video Question Answering. EMNLP Thong Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu
2024	J	`jnl`	Encoding and Controlling Global Semantics for Long-form Video Question Answering. CoRR Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2024	J	`jnl`	FD-LLM: Large Language Model for Fault Diagnosis of Machines. CoRR Hamzah A. A. M. Qaid, Bo Zhang, Dan Li, See-Kiong Ng, Wei Li
2024	J	`jnl`	FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework. CoRR Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng
2024	J	`jnl`	Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. CoRR Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu
2024	A*	`conf`	From 2D to 3D: AISG-SLA Visual Localization Challenge. IJCAI 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
2024	J	`jnl`	From 2D to 3D: AISG-SLA Visual Localization Challenge. CoRR 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
2024	A*	`conf`	From Static to Dynamic: Knowledge Metabolism for Large Language Models. AAAI Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng
2024	—	`conf`	GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. DASFAA (5) Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng
2024	J	`jnl`	GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. CoRR Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng
2024	—	`conf`	GPTScore: Evaluate as You Desire. NAACL-HLT Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu
2024	A*	`conf`	GalleryGPT: Analyzing Paintings with Large Multimodal Models. ACM Multimedia Yi Bin, Wenhao Shi, Yujuan Ding, Zhiqiang Hu, Zheng Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen
2024	J	`jnl`	GalleryGPT: Analyzing Paintings with Large Multimodal Models. CoRR Yi Bin, Wenhao Shi, Yujuan Ding, Zhiqiang Hu, Zheng Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen
2024	J	`jnl`	Global Challenge for Safe and Secure LLMs Track 1. CoRR Xiaojun Jia, Yihao Huang, Yang Liu, Peng Yan Tan, Weng Kuan Yau, Mun-Thye Mak, Xin Ming Sim, Wee Siong Ng, See-Kiong Ng, Hanqing Liu, Lifeng Zhou, Huanqian Yan, Xiaobing Sun, Wei Liu, Long Wang, Yiming Qian, Yong Liu, Junxiao Yang, Zhexin Zhang, Leqi Lei, Renmiao Chen, Yida Lu, Shiyao Cui, Zizhou Wang, Shaohua Li, Yan Wang, Rick Siow Mong Goh, Liangli Zhen, Yingjie Zhang, Zhe Zhao
2024	J	`jnl`	Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions. CoRR Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua
2024	J	`jnl`	Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge. CoRR Jinlan Fu, Shenzhen Huangfu, Hang Yan, See-Kiong Ng, Xipeng Qiu
2024	J	`jnl`	Interrelated Dense Pattern Detection in Multilayer Networks. IEEE Trans. Knowl. Data Eng. Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu
2024	J	`jnl`	Knowledge Boundary of Large Language Models: A Survey. CoRR Moxin Li, Yong Zhao, Yang Deng, Wenxuan Zhang, Shuaiyi Li, Wenya Xie, See-Kiong Ng, Tat-Seng Chua
2024	A*	`conf`	LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. IJCAI Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng
2024	J	`jnl`	LLM-based Federated Recommendation. CoRR Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua
2024	A	`conf`	Learnable Item Tokenization for Generative Recommendation. CIKM Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2024	J	`jnl`	Learnable Tokenizer for LLM-based Generative Recommendation. CoRR Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2024	A	`conf`	Learning multivariate temporal point processes via the time-change theorem. AISTATS Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan
2024	A*	`conf`	Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. ACM Multimedia Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen
2024	J	`jnl`	Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. CoRR Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen
2024	A*	`conf`	Localized Zeroth-Order Prompt Optimization. NeurIPS Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low
2024	J	`jnl`	Localized Zeroth-Order Prompt Optimization. CoRR Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiangqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low
2024	J	`jnl`	LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. CoRR Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi
2024	A*	`conf`	MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. EMNLP Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng
2024	—	`conf`	Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. EMNLP (Findings) Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee
2024	J	`jnl`	Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. CoRR Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee
2024	A*	`conf`	Mercury: A Code Efficiency Benchmark for Code Large Language Models. NeurIPS Mingzhe Du, Anh Tuan Luu, Bin Ji, Qian Liu, See-Kiong Ng
2024	J	`jnl`	Mercury: An Efficiency Benchmark for LLM Code Synthesis. CoRR Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng
2024	—	`conf`	Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. ECCV (80) Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2024	J	`jnl`	Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. CoRR Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2024	J	`jnl`	Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation. CoRR Thong Thanh Nguyen, Xiaobao Wu, Yi Bin, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2024	J	`jnl`	Multi-Scale Contrastive Learning for Video Temporal Grounding. CoRR Thong Thanh Nguyen, Yi Bin, Xiaobao Wu, Zhiyuan Hu, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2024	—	`conf`	NUS-IDS@eRisk2024: Ranking Sentences for Depression Symptoms using Early Maladaptive Schemas and Ensembles. CLEF (Working Notes) Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng
2024	J	`jnl`	On Newton's Method to Unlearn Neural Networks. CoRR Nhung Bui, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low
2024	—	`conf`	On the Multi-turn Instruction Following for Conversational Web Agents. ACL (1) Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua
2024	J	`jnl`	On the Multi-turn Instruction Following for Conversational Web Agents. CoRR Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua
2024	A*	`conf`	One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. ACM Multimedia Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng
2024	J	`jnl`	One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. CoRR Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng
2024	J	`jnl`	PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models. CoRR Fiona Anting Tan, Gerard Christopher Yeo, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Kokil Jaidka, Yang Liu, See-Kiong Ng
2024	A*	`conf`	PINNACLE: PINN Adaptive ColLocation and Experimental points selection. ICLR Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2024	J	`jnl`	PINNACLE: PINN Adaptive ColLocation and Experimental points selection. CoRR Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2024	J	`jnl`	PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning. CoRR Lin Xu, Yilin Zhao, Daquan Zhou, Zhijie Lin, See-Kiong Ng, Jiashi Feng
2024	J	`jnl`	PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials. CoRR Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2024	A*	`conf`	Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. ICLR Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua
2024	A*	`conf`	Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. NeurIPS Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	J	`jnl`	Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. CoRR Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	J	`jnl`	Prompt Optimization with Human Feedback. CoRR Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	A*	`conf`	READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. AAAI Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu
2024	J	`jnl`	SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks. CoRR Brian Formento, Wenjie Feng, Chuan Sheng Foo, Luu Anh Tuan, See-Kiong Ng
2024	—	`conf`	SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks. NAACL-HLT Brian Formento, Wenjie Feng, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng
2024	J	`jnl`	TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs. CoRR Cheng Wang, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low
2024	A*	`conf`	Topic Modeling as Multi-Objective Contrastive Optimization. ICLR Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2024	J	`jnl`	Topic Modeling as Multi-Objective Contrastive Optimization. CoRR Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu
2024	A*	`conf`	Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation. ACM Multimedia Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng
2024	A*	`conf`	Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs. NeurIPS Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei W. Koh, Bryan Hooi
2024	J	`jnl`	Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. CoRR Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi
2024	J	`jnl`	Uniformly Distributed Feature Representations for Fair and Robust Learning. Trans. Mach. Learn. Res. Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
2024	A*	`conf`	Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. ICML Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2024	—	`conf`	Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. ACL (Findings) Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu
2024	J	`jnl`	Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. CoRR Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2023	J	`jnl`	A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. CoRR Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2023	—	`conf`	Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. ICDM (Workshops) Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng
2023	J	`jnl`	Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials. CoRR Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2023	J	`jnl`	Beyond Words: A Comprehensive Survey of Sentence Representations. CoRR Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria
2023	—	`conf`	CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks. DASFAA (4) Richa Hu, Dan Li, See-Kiong Ng, Zibin Zheng
2023	J	`jnl`	CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. IEEE ACM Trans. Audio Speech Lang. Process. Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng
2023	A*	`conf`	COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks. IJCAI Fangyi Zhu, See-Kiong Ng, Stéphane Bressan
2023	J	`jnl`	Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer. Trans. Large Scale Data Knowl. Centered Syst. Mingzhe Du, Mouad Hakam, See-Kiong Ng, Stéphane Bressan
2023	J	`jnl`	Constructing and Interpreting Causal Knowledge Graphs from News. CoRR Fiona Anting Tan, Debdeep Paul, Sahim Yamaura, Miura Koji, See-Kiong Ng
2023	J	`jnl`	Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market. CoRR Naibo Wang, Wenjie Feng, Fusheng Liu, Moming Duan, See-Kiong Ng
2023	J	`jnl`	Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning. Trans. Mach. Learn. Res. Naibo Wang, Wenjie Feng, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng
2023	—	`conf`	DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. EMNLP (Findings) Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu
2023	J	`jnl`	DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. CoRR Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2023	—	`conf`	EasySpider: A No-Code Visual System for Crawling the Web. WWW (Companion Volume) Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng
2023	—	`conf`	Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs. ISWC (Posters/Demos/Industry) Fiona Anting Tan, See-Kiong Ng
2023	J	`jnl`	Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals. CoRR Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, Anh Tuan Luu, Bryan Hooi
2023	J	`jnl`	Exploiting anonymous entity mentions for named entity linking. Knowl. Inf. Syst. Feng Hou, Ruili Wang, See-Kiong Ng, Michael Witbrock, Fangyi Zhu, Xiaoyun Jia
2023	J	`jnl`	Extending JumpProcess.jl for fast point process simulation with time-varying intensities. CoRR Guilherme Augusto Zagatti, Samuel A. Isaacson, Christopher Rackauckas, Vasily Ilin, See-Kiong Ng, Stéphane Bressan
2023	A*	`conf`	Fair yet Asymptotically Equal Collaborative Learning. ICML Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2023	J	`jnl`	Fair yet Asymptotically Equal Collaborative Learning. CoRR Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2023	—	`conf`	Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning. ICDM (Workshops) Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng
2023	J	`jnl`	Fourier Sensitivity and Regularization of Computer Vision Models. CoRR Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
2023	J	`jnl`	From Static to Dynamic: A Continual Learning Framework for Large Language Models. CoRR Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng
2023	J	`jnl`	GPTScore: Evaluate as You Desire. CoRR Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu
2023	A*	`conf`	Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. AAAI Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng
2023	A*	`conf`	Identifying Checkworthy CURE Claims on Twitter. WWW Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng
2023	—	`conf`	Identifying Early Maladaptive Schemas from Mental Health Question Texts. EMNLP (Findings) Sujatha Das Gollapalli, Beng Heng Ang, See-Kiong Ng
2023	J	`jnl`	Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation. Trans. Recomm. Syst. Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan
2023	J	`jnl`	MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. CoRR Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng
2023	J	`jnl`	Mitigating Real-World Distribution Shifts in the Fourier Domain. Trans. Mach. Learn. Res. Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
2023	J	`jnl`	Multimodal Deep Learning for Robust Road Attribute Detection. ACM Trans. Spatial Algorithms Syst. Yifang Yin, Wenmiao Hu, An Tran, Ying Zhang, Guanfeng Wang, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng
2023	—	`conf`	NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data. ArgMining@EMNLP Sujatha Das Gollapalli, Yixin Huang, See-Kiong Ng
2023	A*	`conf`	Non-Autoregressive Math Word Problem Solver with Unified Tree Structure. EMNLP Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen
2023	J	`jnl`	OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System. CoRR Mingtao Yang, See-Kiong Ng, Jinlan Fu
2023	A*	`conf`	PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search. ACM Multimedia Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2023	J	`jnl`	Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. CoRR Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua
2023	J	`jnl`	READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. CoRR Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan
2023	—	`conf`	RECESS: Resource for Extracting Cause, Effect, and Signal Spans. IJCNLP (1) Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoglu, Nelleke Oostdijk, Tommaso Caselli, Tadashi Nomoto, Onur Uca, Farhana Ferdousi Liza, See-Kiong Ng
2023	A	`conf`	Socratic Question Generation: A Novel Dataset, Models, and Evaluation. EACL Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng
2023	J	`jnl`	Solving Math Word Problems with Reexamination. CoRR Yi Bin, Wenhao Shi, Yujuan Ding, Yang Yang, See-Kiong Ng
2023	B	`conf`	SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. IJCNN Yingjie Liu, Xian Wei, See-Kiong Ng, Tongtong Zhang, Mingsong Chen, Xuan Tang
2023	A*	`conf`	Training-Free Neural Active Learning with Initialization-Robustness Guarantees. ICML Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low
2023	J	`jnl`	Training-Free Neural Active Learning with Initialization-Robustness Guarantees. CoRR Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low
2023	B	`conf`	UniCausal: Unified Benchmark and Repository for Causal Text Mining. DaWaK Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
2023	J	`jnl`	Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. CoRR Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2023	—	`conf`	Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study. EACL (Findings) Brian Formento, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng
2023	J	`jnl`	WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. CoRR Jingtan Wang, Xinyang Lu, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
2022	A	`conf`	A Context-enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection. WACV Yifang Yin, Wenmiao Hu, An Tran, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng
2022	—	`conf`	ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. ECML/PKDD (1) Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2022	J	`jnl`	ARES: Locally Adaptive Reconstruction-based Anomaly Scoring. CoRR Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2022	—	`conf`	Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. NAACL-HLT Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu
2022	J	`jnl`	Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. CoRR Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu
2022	A*	`conf`	Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery. ACM Multimedia Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2022	J	`jnl`	COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks. CoRR Fangyi Zhu, See-Kiong Ng, Stéphane Bressan
2022	B	`conf`	CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. COLING Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng
2022	J	`jnl`	CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. CoRR Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng
2022	J	`jnl`	Fourier Sensitivity and Regularization of Computer Vision Models. Trans. Mach. Learn. Res. Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo
2022	A*	`conf`	Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. SIGIR Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan
2022	J	`jnl`	Joint Triplet Loss Learning for Next New POI Recommendation. CoRR Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh
2022	A*	`conf`	LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2022	—	`conf`	Latent Relational Point Process: Network Reconstruction from Discrete Event Data. DEXA (2) Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan
2022	A*	`conf`	MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. ICDE Panpan Qi, Dan Li, See-Kiong Ng
2022	—	`conf`	NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5. CLEF (Working Notes) Mingzhe Du, Sujatha Das Gollapalli, See-Kiong Ng
2022	A*	`conf`	PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions. AAAI Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim
2022	J	`jnl`	Polyglot Prompt: Multilingual Multitask PrompTraining. CoRR Jinlan Fu, See-Kiong Ng, Pengfei Liu
2022	A*	`conf`	Polyglot Prompt: Multilingual Multitask Prompt Training. EMNLP Jinlan Fu, See-Kiong Ng, Pengfei Liu
2022	B	`conf`	QSTS: A Question-Sensitive Text Similarity Measure for Question Generation. COLING Sujatha Das Gollapalli, See-Kiong Ng
2022	J	`jnl`	SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. CoRR Xian Wei, See-Kiong Ng, Tongtong Zhang, Yingjie Liu
2022	—	`conf`	Syntax-Informed Question Answering with Heterogeneous Graph Transformer. DEXA (1) Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan
2022	J	`jnl`	Syntax-informed Question Answering with Heterogeneous Graph Transformer. CoRR Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan
2022	A	`conf`	Trusted Media Challenge Dataset and User Study. CIKM Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng
2022	J	`jnl`	UniCausal: Unified Benchmark and Model for Causal Text Mining. CoRR Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
2021	J	`jnl`	A Data Warehouse of Wi-Fi Sessions for Contact Tracing and Outbreak Investigation. Trans. Large Scale Data Knowl. Centered Syst. Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan
2021	B	`conf`	A Large-scale Disease Outbreak Analytics System based on Wi-Fi Session Logs. MDM Guilherme Augusto Zagatti, Tingfeng Wu, See-Kiong Ng, Stéphane Bressan
2021	J	`jnl`	Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG. CoRR Dacheng Chen, Dan Li, Xiuqin Xu, Ruizhi Yang, See-Kiong Ng
2021	J	`jnl`	LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. CoRR Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2021	—	`conf`	Modeling Emoji Generation for Emotion Analysis of Social Media Short Texts. ICWSM Workshops Sujatha Das Gollapalli, See-Kiong Ng
2021	—	`conf`	Multimodal Fusion of Satellite Images and Crowdsourced GPS Traces for Robust Road Attribute Detection. SIGSPATIAL/GIS Yifang Yin, An Tran, Ying Zhang, Wenmiao Hu, Guanfeng Wang, Jagannadan Varadarajan, Roger Zimmermann, See-Kiong Ng
2021	J	`jnl`	NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection. CoRR Fiona Anting Tan, See-Kiong Ng
2021	Misc	`conf`	On Generating Fact-Infused Question Variations. RANLP Arthur Deschamps, Sujatha Das Gollapalli, See-Kiong Ng
2021	A	`conf`	Origin-Aware Next Destination Recommendation with Personalized Preference Attention. WSDM Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan
2021	B	`conf`	Special Symbol Attacks On NLP Systems. IJCNN Brian Formento, See-Kiong Ng, Chuan-Sheng Foo
2021	A	`conf`	Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees. CIKM Panpan Qi, Wei Wang, Lei Zhu, See-Kiong Ng
2020	A*	`conf`	A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces. WWW Yifang Yin, Jagannadan Varadarajan, Guanfeng Wang, Xueou Wang, Dhruva Sahrawat, Roger Zimmermann, See-Kiong Ng
2020	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I PAKDD (1) Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan
2020	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II PAKDD (2) Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan
2020	J	`jnl`	An Enhanced GAN Model for Automatic Satellite-to-Map Image Conversion. IEEE Access Ying Zhang, Yifang Yin, Roger Zimmermann, Guanfeng Wang, Jagannadan Varadarajan, See-Kiong Ng
2020	—	`conf`	ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection. EMNLP (Findings) Sujatha Das Gollapalli, Polina Rozenshtein, See-Kiong Ng
2020	J	`jnl`	Origin-Aware Next Destination Recommendation with Personalized Preference Attention. CoRR Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan
2020	A*	`conf`	Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact. IJCAI Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
2020	A	`conf`	STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CIKM Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan
2020	J	`jnl`	STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CoRR Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan
2020	B	`conf`	VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks. ICTAI Dan Li, Hang Liu, See-Kiong Ng
2019	—	`conf`	Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. ICPHM Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2019	J	`jnl`	Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks. CoRR Baihong Jin, Dan Li, Seshadhri Srinivasan, See-Kiong Ng, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
2019	—	`conf`	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. ICANN (4) Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng
2019	J	`jnl`	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. CoRR Dan Li, Dacheng Chen, Lei Shi, Baihong Jin, Jonathan Goh, See-Kiong Ng
2019	—	`conf`	Multi-scale Graph Convolutional Network for Intersection Detection from GPS Trajectories. GeoAI@SIGSPATIAL Yifang Yin, Abhinav Sunderrajan, Xiaocheng Huang, Jagannadan Varadarajan, Guanfeng Wang, Dhruva Sahrawat, Ying Zhang, Roger Zimmermann, See-Kiong Ng
2018	J	`jnl`	Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. CoRR Dan Li, Dacheng Chen, Jonathan Goh, See-Kiong Ng
2018	J	`jnl`	Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks. IEEE Access Bo Zhang, Wei Li, Xiao-Li Li, See-Kiong Ng
2017	J	`jnl`	Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. Fei Wang, Xiaoli Li, Jason T. L. Wang, See-Kiong Ng
2016	A*	`conf`	Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network. EMNLP Anh Tuan Luu, Yi Tay, Siu Cheung Hui, See-Kiong Ng
2016	J	`jnl`	Utilizing Temporal Information for Taxonomy Construction. Trans. Assoc. Comput. Linguistics Anh Tuan Luu, Siu Cheung Hui, See-Kiong Ng
2015	A*	`conf`	Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction. EMNLP Anh Tuan Luu, Jung-Jae Kim, See-Kiong Ng
2015	J	`jnl`	Supporting Exploratory Hypothesis Testing and Analysis. ACM Trans. Knowl. Discov. Data Guimei Liu, Haojun Zhang, Mengling Feng, Limsoon Wong, See-Kiong Ng
2015	—	`conf`	iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data. VAST Liang Yu, Wei Wu, Xiaohui Li, Guangxia Li, Wee Siong Ng, See-Kiong Ng, Zhongwen Huang, Anushiya Arunan, Hui Min Watt
2014	—	`conf`	A*DAX: A Platform for Cross-Domain Data Linking, Sharing and Analytics. DASFAA (2) 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	A*	`conf`	Taxonomy Construction Using Syntactic Contextual Evidence. EMNLP Anh Tuan Luu, Jung-Jae Kim, See-Kiong Ng
2014	J	`jnl`	Using data fusion for scoring reliability of protein-protein interactions. J. Bioinform. Comput. Biol. Alireza Vazifedoost, Maseud Rahgozar, Behzad Moshiri, Mehdi Sadeghi, Hon Nian Chua, See-Kiong Ng, Limsoon Wong
2013	C	`conf`	Effective Crowdsourcing for Software Feature Ideation in Online Co-Creation Forums. SEKE Karthikeyan Rajasekharan, Aditya P. Mathur, See-Kiong Ng
2013	J	`jnl`	Integrated Oversampling for Imbalanced Time Series Classification. IEEE Trans. Knowl. Data Eng. Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng
2013	J	`jnl`	Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics. J. Bioinform. Comput. Biol. Henry Han, Xiaoli Li, See-Kiong Ng, Zhou Ji
2013	Misc	`conf`	Sustainable Pseudo-random Number Generator. SEC Huafei Zhu, Wee Siong Ng, See-Kiong Ng
2012	J	`jnl`	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. Eng-Yeow Cheu, Chai Quek, See-Kiong Ng
2012	A*	`conf`	AssocExplorer: an association rule visualization system for exploratory data analysis. KDD Guimei Liu, Andre Suchitra, Haojun Zhang, Mengling Feng, See-Kiong Ng, Limsoon Wong
2012	J	`jnl`	Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data. J. Comput. Biol. Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng, Limsoon Wong
2012	—	`conf`	Ensemble Based Positive Unlabeled Learning for Time Series Classification. DASFAA (1) Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng
2012	B	`conf`	Fuzzy associative learning of feature dependency for time series forecasting. IJCNN Eng-Yeow Cheu, Kelvin Sim, See-Kiong Ng, Chai Quek
2012	J	`jnl`	Inferring the Regulatory Interaction Models of transcription Factors in transcriptional Regulatory Networks. J. Bioinform. Comput. Biol. Sherine Awad, Nicholas Panchy, See-Kiong Ng, Jin Chen
2012	B	`conf`	PlugCloud - Scaling by Plugging a Personal Cloud Infrastructure. ICPADS Wee Siong Ng, See-Kiong Ng, Wei Wu
2012	J	`jnl`	Positive-unlabeled learning for disease gene identification. Bioinform. Peng Yang, Xiaoli Li, Jian-Ping Mei, Chee Keong Kwoh, See-Kiong Ng
2011	—	`conf`	ECODE: Event-Based Community Detection from Social Networks. DASFAA (1) Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng
2011	B	`conf`	Evolving ensemble of fuzzy models. FUZZ-IEEE Eng-Yeow Cheu, Chai Quek, See-Kiong Ng
2011	A*	`conf`	Integrating Community Question and Answer Archives. AAAI Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li
2011	A*	`conf`	Positive Unlabeled Leaning for Time Series Classification. IJCAI Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng
2011	—	`conf`	Privacy beyond Single Sensitive Attribute. DEXA (1) Yuan Fang, Mafruz Zaman Ashrafi, See-Kiong Ng
2011	A*	`conf`	SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification. ICDM Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng
2011	A*	`conf`	Towards exploratory hypothesis testing and analysis. ICDE Guimei Liu, Mengling Feng, Yue Wang, Limsoon Wong, See-Kiong Ng, Tzia Liang Mah, Edmund Jon Deoon Lee
2010	B	`conf`	An Indexing Scheme for Fast and Accurate Chemical Fingerprint Database Searching. SSDBM Zeyar Aung, See-Kiong Ng
2010	—	`conf`	Distributional Similarity vs. PU Learning for Entity Set Expansion. ACL (2) Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng
2010	J	`jnl`	Integrating diverse biological and computational sources for reliable protein-protein interactions. BMC Bioinform. Min Wu, Xiaoli Li, Hon Nian Chua, Chee Keong Kwoh, See-Kiong Ng
2010	A*	`conf`	Mining mutation chains in biological sequences. ICDE Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Tong, See-Kiong Ng
2010	A*	`conf`	Negative Training Data Can be Harmful to Text Classification. EMNLP Xiaoli Li, Bing Liu, See-Kiong Ng
2010	J	`jnl`	SLiM on Diet: finding short linear motifs on domain interaction interfaces in Protein Data Bank. Bioinform. Hugo Willy, Fushan Song, Zeyar Aung, See-Kiong Ng, Wing-Kin Sung
2010	B	`conf`	Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network. IJCNN Eng-Yeow Cheu, Chai Quek, See-Kiong Ng
2009	J	`jnl`	A core-attachment based method to detect protein complexes in PPI networks. BMC Bioinform. Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng
2009	B	`conf`	A hypothalamic and piagetian fuzzy inference system: HtPFIS. FUZZ-IEEE Eng-Yeow Cheu, See-Kiong Ng, Chai Quek
2009	B	`conf`	An Interval type-2 Neural Fuzzy Inference System based on Piaget's action-cognitive paradigm. IEEE Congress on Evolutionary Computation Eng-Yeow Cheu, See-Kiong Ng, Hiok Chai Quek
2009	J	`jnl`	Brief Overview of Bioinformatics Activities in Singapore. PLoS Comput. Biol. Frank Eisenhaber, Chee Keong Kwoh, See-Kiong Ng, Wing-Kin Sung, Limsoon Wong
2009	A*	`conf`	Collusion-resistant anonymous data collection method. KDD Mafruz Zaman Ashrafi, See-Kiong Ng
2009	B	`conf`	Efficient and Anonymous Online Data Collection. DASFAA Mafruz Zaman Ashrafi, See-Kiong Ng
2009	B	`conf`	KCMAC-TSK: A fuzzy cerebellar model with localized TSK learning for non-linear system identification. FUZZ-IEEE Sintiani Dewi Teddy, See-Kiong Ng
2009	—	`conf`	MACs: Multi-Attribute Co-clusters with High Correlation Information. ECML/PKDD (2) Kelvin Sim, Vivekanand Gopalkrishnan, Hon Nian Chua, See-Kiong Ng
2009	J	`jnl`	MDPD: an integrated genetic information resource for Parkinson's disease. Nucleic Acids Res. Suisheng Tang, Zhuo Zhang, Kavitha Gopalakrishnan, Eng-King Tan, See-Kiong Ng
2009	A	`conf`	Positive Unlabeled Learning for Data Stream Classification. SDM Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng
2009	J	`jnl`	Privacy-preserving e-payments using one-time payment details. Comput. Stand. Interfaces Mafruz Zaman Ashrafi, See-Kiong Ng
2009	B	`conf`	Searching for Rising Stars in Bibliography Networks. DASFAA Xiaoli Li, Chuan Sheng Foo, Kar Leong Tew, See-Kiong Ng
2008	—	`conf`	A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks. ICTAI (2) Hon Nian Chua, Kar Leong Tew, Xiaoli Li, See-Kiong Ng
2008	B	`conf`	Enabling Privacy-Preserving e-Payment Processing. DASFAA Mafruz Zaman Ashrafi, See-Kiong Ng
2008	J	`jnl`	Inferring Transcription Factor interactions using a novel HV-SVM classifier. Int. J. Comput. Biol. Drug Des. Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng
2008	J	`jnl`	Pp J. Bioinform. Comput. Biol. Zeyar Aung, Soon-Heng Tan, See-Kiong Ng, Kian-Lee Tan
2008	B	`conf`	TNFIS: Tree-based neural fuzzy inference system. IJCNN Eng-Yeow Cheu, Hiok Chai Quek, See-Kiong Ng
2007	C	`conf`	An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations. BIBE Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng
2007	—	`conf`	Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining. MLDM Vincent Yan Fu Tan, See-Kiong Ng
2007	A*	`conf`	Labeling network motifs in protein interactomes for protein function prediction. ICDE Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng
2007	—	`conf`	Learning to Classify Documents with Only a Small Positive Training Set. ECML Xiaoli Li, Bing Liu, See-Kiong Ng
2007	A*	`conf`	Learning to Identify Unexpected Instances in the Test Set. IJCAI Xiaoli Li, Bing Liu, See-Kiong Ng
2007	—	`conf`	Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers. PinKDD Vincent Yan Fu Tan, See-Kiong Ng
2006	J	`jnl`	A Faster and More Space-Efficient Algorithm for Inferring Arc-Annotations of RNA Sequences through Alignment. Algorithmica Jesper Jansson, See-Kiong Ng, Wing-Kin Sung, Hugo Willy
2006	J	`jnl`	A correlated motif approach for finding short linear motifs from protein interaction networks. BMC Bioinform. Soon-Heng Tan, Hugo Willy, Wing-Kin Sung, See-Kiong Ng
2006	J	`jnl`	BioContrasts: extracting and exploiting protein-protein contrastive relations from biomedical literature. Bioinform. Jung-Jae Kim, Zhuo Zhang, Jong-Chan Park, See-Kiong Ng
2006	J	`jnl`	Challenges in biological literature mining for online discovery of molecular interaction pathways. Int. J. Comput. Appl. Technol. See-Kiong Ng, Soon-Heng Tan
2006	J	`jnl`	Improving domain-based protein interaction prediction using biologically-significant negative dataset. Int. J. Data Min. Bioinform. Xiaoli Li, Soon-Heng Tan, See-Kiong Ng
2006	J	`jnl`	Increasing confidence of protein interactomes using network topological metrics. Bioinform. Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng
2006	—	`conf`	Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases. PRIB Zhuo Zhang, Merlin Veronika, See-Kiong Ng, Vladimir B. Bajic
2006	A*	`conf`	NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs. KDD Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng
2006	—	`conf`	Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data. IMSCCS (1) Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng
2006	J	`jnl`	Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method. BMC Bioinform. Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng
2005	J	`jnl`	Discovering reliable protein interactions from high-throughput experimental data using network topology. Artif. Intell. Medicine Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng
2005	—	`conf`	Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset. ICCSA (3) Xiaoli Li, Soon-Heng Tan, See-Kiong Ng
2005	B	`conf`	Reconfigurable Context-Sensitive Bio-Bridge Middleware for Smart Bio-Laboratories. AINA Wei-Khing For, Xiaoming Bao, Woon-Seng Gan, See-Kiong Ng
2005	—	`conf`	Smart bio-laboratories of the future. ISCAS (5) See-Kiong Ng
2005	B	`conf`	Toward discovering disease-specific gene networks from online literature. APBC Zhuo Zhang, Suisheng Tang, See-Kiong Ng
2005	—	`conf`	Virtual Lab Dashboard: Ubiquitous Monitoring and Control in a Smart Bio-laboratory. ICCSA (2) Xiaoming Bao, See-Kiong Ng, Eng-Huat Chua, Wei-Khing For
2004	C	`conf`	A Faster and More Space-Efficient Algorithm for Inferring Arc-Annotations of RNA Sequences Through Alignment. WABI Jesper Jansson, See-Kiong Ng, Wing-Kin Sung, Hugo Willy
2004	J	`jnl`	ADVICE: Automated Detection and Validation of Interaction by Co-Evolution. Nucleic Acids Res. Soon-Heng Tan, Zhuo Zhang, See-Kiong Ng
2004	J	`jnl`	Accomplishments and Challenges in Bioinformatics. IT Prof. See-Kiong Ng, Limsoon Wong
2004	C	`conf`	Discovering Novel Interacting Motif Pairs from Large Protein-Protein Interaction Datasets. BIBE Soon-Heng Tan, Wing-Kin Sung, See-Kiong Ng
2004	J	`jnl`	Discovering Protein-protein Interactions. J. Bioinform. Comput. Biol. See-Kiong Ng, Soon-Heng Tan
2004	Misc	`conf`	Discovery of Binding Motif Pairs from Protein Complex Structural Data and Protein Interaction Sequence Data. Pacific Symposium on Biocomputing Haiquan Li, Jinyan Li, Soon-Heng Tan, See-Kiong Ng
2004	J	`jnl`	InterWeaver: interaction reports for discovering potential protein interaction partners with online evidence. Nucleic Acids Res. Zhuo Zhang, See-Kiong Ng
2004	B	`conf`	Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions Using Network Topology. ICTAI Jin Chen, Wynne Hsu, Mong-Li Lee, See-Kiong Ng
2004	B	`conf`	Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data. APBC See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
2003	A	`conf`	Bioinformatics Adventures in Database Research. ICDT Jinyan Li, See-Kiong Ng, Limsoon Wong
2003	C	`conf`	Discovery of significant rules for classifying cancer diagnosis data. ECCB Jinyan Li, Huiqing Liu, See-Kiong Ng, Limsoon Wong
2003	B	`conf`	From Informatics to Bioinformatics. APBC Vladimir B. Bajic, Vladimir Brusic, Jinyan Li, See-Kiong Ng, Limsoon Wong
2003	Misc	`conf`	Integrative Approach for Computationally Inferring Protein Domain Interactions. SAC See-Kiong Ng, Zhuo Zhang, Soon-Heng Tan
2003	J	`jnl`	Integrative Approach for Computationally Inferring Protein Domain Interactions. Bioinform. See-Kiong Ng, Zhuo Zhang, Soon-Heng Tan
2003	J	`jnl`	InterDom: a database of putative interacting protein domains for validating predicted protein interactions and complexes. Nucleic Acids Res. See-Kiong Ng, Zhuo Zhang, Soon-Heng Tan, Kui Lin
2001	J	`jnl`	Sorting Permutations by Reversals Through Branch-and-Price. INFORMS J. Comput. Alberto Caprara, Giuseppe Lancia, See-Kiong Ng
2000	A*	`conf`	Fast practical solution of sorting by reversals. SODA Alberto Caprara, Giuseppe Lancia, See-Kiong Ng
1998	—	`conf`	A column-generation based branch-and-bound algorithm for sorting by reversals. Mathematical Support for Molecular Biology Alberto Caprara, Giuseppe Lancia, See-Kiong Ng