Choon Hui Teo

35 papers A* 4A 8B 2Journal 11Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
A Representation Sharpening Framework for Zero Shot Dense Retrieval.
EACL (Volume 1: Long Papers)
Dhananjay Ashok, Suraj Nair, Mutasem Al-Darabsah, Choon Hui Teo, Tarun Agarwal, Jonathan May
2025 J jnl
A Representation Sharpening Framework for Zero Shot Dense Retrieval.
CoRR
Dhananjay Ashok, Suraj Nair, Mutasem Al-Darabsah, Choon Hui Teo, Tarun Agarwal, Jonathan May
2025 A conf
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment.
AISTATS
Qizhang Feng, Siva Rajesh Kasa, Santhosh Kumar Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
2025 — conf
Learning to Rewrite Negation Queries in Product Search.
COLING (Industry)
Mengtian Guo, Mutasem Al-Darabsah, Choon Hui Teo, Jonathan May, Tarun Agarwal, Rahul Bhagat
2025 — conf
Token Pruning Optimization for Efficient Multi-vector Dense Retrieval.
ECIR (1)
Shanxiu He, Mutasem Al-Darabsah, Suraj Nair, Jonathan May, Tarun Agarwal, Tao Yang, Choon Hui Teo
2024 J jnl
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment.
CoRR
Qizhang Feng, Siva Rajesh Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
2024 A conf
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models.
WSDM
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
2023 — conf
Blend and Match: Distilling Semantic Search Models with Different Inductive Biases and Model Architectures.
WWW (Companion Volume)
Hamed R. Bonab, Ashutosh Joshi, Ravi Bhatia, Ankit Gandhi, Vijay Huddar, Juhi Naik, Mutasem Al-Darabsah, Choon Hui Teo, Jonathan May, Tarun Agarwal, Vaclav Petricek
2023 J jnl
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models.
CoRR
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
2023 — conf
Web-Scale Semantic Product Search with Large Language Models.
PAKDD (3)
Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
2022 — conf
Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores.
NAACL-HLT (Industry Papers)
Ashutosh Joshi, Shankar Vishwanath, Choon Hui Teo, Vaclav Petricek, Vishy Vishwanathan, Rahul Bhagat, Jonathan May
2022 B conf
MICO: Selective Search with Mutual Information Co-training.
COLING
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
2022 J jnl
MICO: Selective Search with Mutual Information Co-training.
CoRR
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
2022 J jnl
On the Value of Behavioral Representations for Dense Retrieval.
CoRR
Nan Jiang, Dhivya Eswaran, Choon Hui Teo, Yexiang Xue, Yesh Dattatreya, Sujay Sanghavi, Vishy Vishwanathan
2021 J jnl
Embracing Structure in Data for Billion-Scale Semantic Product Search.
CoRR
Vihan Lakshman, Choon Hui Teo, Xiaowen Chu, Priyanka Nigam, Abhinandan Patni, Pooja Maknikar, S. V. N. Vishwanathan
2019 A conf
A Study of Context Dependencies in Multi-page Product Search.
CIKM
Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft
2019 J jnl
A Study of Context Dependencies in Multi-page Product Search.
CoRR
Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft
2019 — conf
Leverage Implicit Feedback for Context-aware Product Search.
eCOM@SIGIR
Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft
2019 J jnl
Leverage Implicit Feedback for Context-aware Product Search.
CoRR
Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft
2019 A* conf
Semantic Product Search.
KDD
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Allen Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
2019 J jnl
Semantic Product Search.
CoRR
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
2018 J jnl
Adaptive, Personalized Diversity for Visual Discovery.
CoRR
Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
2016 A conf
Adaptive, Personalized Diversity for Visual Discovery.
RecSys
Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan
2012 A conf
Fair and balanced: learning to present news stories.
WSDM
Amr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alexander J. Smola
2011 A conf
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.
AISTATS
Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing
2011 A conf
Scalable clustering of news search results.
WSDM
Srinivas Vadrevu, Choon Hui Teo, Suju Rajan, Kunal Punera, Byron Dom, Alexander J. Smola, Yi Chang, Zhaohui Zheng
2011 A* conf
Unified analysis of streaming news.
WWW
Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo
2010 J jnl
Bundle Methods for Regularized Risk Minimization.
J. Mach. Learn. Res.
Choon Hui Teo, S. V. N. Vishwanathan, Alexander J. Smola, Quoc V. Le
2009 A conf
Relative Novelty Detection.
AISTATS
Alexander J. Smola, Le Song, Choon Hui Teo
2008 — conf
Tighter Bounds for Structured Estimation.
NIPS
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo
2007 — conf
A Kernel Statistical Test of Independence.
NIPS
Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alexander J. Smola
2007 A* conf
A scalable modular convex solver for regularized risk minimization.
KDD
Choon Hui Teo, Alexander J. Smola, S. V. N. Vishwanathan, Quoc V. Le
2007 — conf
Convex Learning with Invariances.
NIPS
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alexander J. Smola
2006 A* conf
Fast and space efficient string kernels using suffix arrays.
ICML
Choon Hui Teo, S. V. N. Vishwanathan
2006 B conf
Invariant Object Recognition Using Circular Pairwise Convolutional Networks.
PRICAI
Choon Hui Teo, Yong Haur Tay