Chang, Kai-Wei

99 publications

NeurIPS 2025 3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model Wenbo Hu, Yining Hong, Yanjun Wang, Leison Gao, Zibu Wei, Xingcheng Yao, Nanyun Peng, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang

ICML 2025 Contradiction Retrieval via Contrastive Learning with Sparsity Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk

ICML 2025 Contrastive Visual Data Augmentation Yu Zhou, Bingxuan Li, Tang Mohan, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng

ICLR 2025 Controllable Generation via Locally Constrained Resampling Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

ICLRW 2025 Controllable Generation via Locally Constrained Resampling Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

ICLR 2025 Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks Chien-yu Huang, Wei-Chih Chen, Shu-wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Chih-Kai Yang, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Fabian Alejandro Ritter Gutierrez, Huang Kuan-Po, Siddhant Arora, You-Kuan Lin, CHUANG Ming To, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Wei Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, Kuan Yu Fang Chiang, Chi An Fu, Hsien-Fu Hsiao, Ching Yu Hsu, Shao-Syuan Huang, Lee Chen Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Shan Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Wei Jui Chiang, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee

NeurIPS 2025 Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence Yining Hong, Rui Sun, Bingxuan Li, Xingcheng Yao, Maxine Wu, Alexander Chien, Da Yin, Ying Nian Wu, Zhecan Wang, Kai-Wei Chang

CVPR 2025 Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai

NeurIPS 2025 LaViDa: A Large Diffusion Language Model for Multimodal Understanding Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover

ICLR 2025 LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

ICLR 2025 MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations Shaochen Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu

ICLR 2025 MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng

ICLR 2025 MuirBench: A Comprehensive Benchmark for Robust Multi-Image Understanding Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen

TMLR 2025 On the Landscape of Spoken Language Models: A Comprehensive Survey Siddhant Arora, Kai-Wei Chang, Chung-Ming Chien, Yifan Peng, Haibin Wu, Yossi Adi, Emmanuel Dupoux, Hung-yi Lee, Karen Livescu, Shinji Watanabe

NeurIPS 2025 OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang

NeurIPS 2025 PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha, Elen Chatikyan, Xiaomeng Jin, Khanh Duy Nguyen, Nanyun Peng, Kai-Wei Chang, Derek Hoiem, Heng Ji

ICML 2025 QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang

ICLRW 2025 QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang

ICCV 2025 STIV: Scalable Text and Image Conditioned Video Generation Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Lezhi Li, Yinfei Yang, Yizhou Sun, Kai-Wei Chang

ICLR 2025 SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang, Linjie Li, Kevin Lin, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Ying Nian Wu, Lijuan Wang

ICLRW 2025 Stiv: Scalable Text and Image Conditioned Video Generation Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Yifan Jiang, Lezhi Li, Yizhou Sun, Kai-Wei Chang, Yinfei Yang

CVPR 2025 VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning Xueqing Wu, Yuheng Ding, Bingxuan Li, Pan Lu, Da Yin, Kai-Wei Chang, Nanyun Peng

ICCV 2025 Verbalized Representation Learning for Interpretable Few-Shot Generalization Cheng-Fu Yang, Da Yin, Wenbo Hu, Heng Ji, Nanyun Peng, Bolei Zhou, Kai-Wei Chang

ICLR 2025 VideoPhy: Evaluating Physical Commonsense for Video Generation Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

ICML 2024 Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension Fan Yin, Jayanth Srinivasa, Kai-Wei Chang

ICLR 2024 CoBIT: A Contrastive Bi-Directional Image-Text Generation Model Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason Michael Baldridge, Jiahui Yu

ICMLW 2024 Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover

NeurIPSW 2024 Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover

ICML 2024 ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng

NeurIPSW 2024 Controllable Generation via Locally Constrained Resampling Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

NeurIPS 2024 DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang

ICMLW 2024 DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Tang Mohan, Kai-Wei Chang, Nanyun Peng, Haoran Huang

NeurIPS 2024 Enhancing Large Vision Language Models with Self-Training on Image Comprehension Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Zou, Kai-Wei Chang, Wei Wang

NeurIPS 2024 JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images Zhecan Wang, Junzhang Liu, Chia-Wei Tang, Hani Alomari, Anushka Sivakumar, Rui Sun, Wenhao Li, Md. Atabuzzaman, Hammad Ayyubi, Haoxuan You, Alvi Ishmam, Kai-Wei Chang, Shih-Fu Chang, Chris Thomas

NeurIPSW 2024 LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

ICLRW 2024 Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

ECCV 2024 MathVerse: Does Your Multi-Modal LLM Truly See the Diagrams in Visual Math Problems? Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li

ICLR 2024 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao

NeurIPS 2024 Matryoshka Query Transformer for Large Vision-Language Models Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang

ICML 2024 On Prompt-Driven Safeguarding for Large Language Models Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng

ICLRW 2024 On Prompt-Driven Safeguarding for Large Language Models Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng

NeurIPSW 2024 Planning as Inpainting: A Generative Framework for Realistic Embodied Path Planning Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

NeurIPS 2024 SafeWorld: Geo-Diverse Safety Alignment Da Yin, Haoyi Qiu, Kung-Hsiang Huang, Kai-Wei Chang, Nanyun Peng

NeurIPSW 2024 TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation Hritik Bansal, Yonatan Bitton, Michal Yarom, Idan Szpektor, Aditya Grover, Kai-Wei Chang

ECCV 2024 The Hard Positive Truth About Vision-Language Compositionality Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna

CVPR 2024 VideoCon: Robust Video-Language Alignment via Contrast Captions Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover

ICLRW 2024 VideoCon: Robust Video-Language Alignment via Contrast Captions Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover

NeurIPSW 2024 VideoPhy: Evaluating Physical Commonsense for Video Generation Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

NeurIPS 2023 A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

NeurIPS 2023 AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi

NeurIPS 2023 Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao

NeurIPSW 2023 Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao

ICCV 2023 CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang

ICLRW 2023 CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang

NeurIPS 2023 DesCo: Learning Object Recognition with Rich Language Descriptions Liunian Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang

ICLR 2023 Dynamic Prompt Learning via Policy Gradient for Semi-Structured Mathematical Reasoning Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan

CVPR 2023 GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang

NeurIPSW 2023 JAB: Joint Adversarial Prompting and Belief Augmentation Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

NeurIPSW 2023 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao

IJCAI 2023 On the Paradox of Learning to Reason from Data Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck

CVPR 2023 REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi

AISTATS 2023 Semantic Strengthening of Neuro-Symbolic Learning Kareem Ahmed, Kai-Wei Chang, Guy Broeck

NeurIPS 2022 Controllable Text Generation with Neurally-Decomposed Oracle Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang

NeurIPSW 2022 Empowering Language Models with Knowledge Graph Reasoning for Question Answering Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun

CVPR 2022 Grounded Language-Image Pre-Training Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao

NeurIPSW 2022 Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD Arjun Subramonian, Levent Sagun, Kai-Wei Chang, Yizhou Sun

ICLR 2022 How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer

NeurIPS 2022 Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan

UAI 2022 Neuro-Symbolic Entropy Regularization Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Broeck

NeurIPS 2022 On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs Arjun Subramonian, Kai-Wei Chang, Yizhou Sun

AAAI 2022 PYLON: A PyTorch Framework for Learning with Constraints Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh

AAAI 2022 SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang

NeurIPS 2022 Semantic Probabilistic Layers for Neuro-Symbolic Learning Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari

ICML 2021 An Integer Linear Programming Framework for Mining Constraints from Data Tao Meng, Kai-Wei Chang

ICCVW 2021 BERTHop: An Effective Vision-and-Language Model for Chest X-Ray Disease Diagnosis Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang

AAAI 2021 Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang

AAAI 2021 GATE: Graph Attention Transformer Encoder for Cross-Lingual Relation and Event Extraction Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang

NeurIPS 2020 Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh

MLJ 2020 Distributed Block-Diagonal Approximation Methods for Regularized Empirical Risk Minimization Ching-Pei Lee, Kai-Wei Chang

AAAI 2020 Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract) Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang

ICLR 2020 Robustness Verification for Transformers Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh

IJCAI 2018 Co-Training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-Lingual Entity Alignment Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo

ICLR 2018 Multi-Task Learning for Document Ranking and Query Suggestion Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang

AAAI 2017 Resource Constrained Structured Prediction Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama

NeurIPS 2016 A Credit Assignment Compiler for Joint Prediction Kai-Wei Chang, He He, Stephane Ross, Hal Daume Iii, John Langford

NeurIPS 2016 Man Is to Computer Programmer as Woman Is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, Adam T Kalai

ICML 2015 Learning to Search Better than Your Teacher Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé, John Langford

AAAI 2015 Structural Learning with Amortized Inference Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth

ICML 2014 A Discriminative Latent Variable Model for Online Clustering Rajhans Samdani, Kai-Wei Chang, Dan Roth

ECML-PKDD 2013 Multi-Core Structural SVM Training Kai-Wei Chang, Vivek Srikumar, Dan Roth

ECML-PKDD 2013 Tractable Semi-Supervised Learning of Complex Structured Prediction Models Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi

IJCAI 2011 Large Linear Classification When Data Cannot Fit in Memory Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin

JMLR 2010 A Comparison of Optimization Methods and Software for Large-Scale L1-Regularized Linear Classification Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin

JMLR 2010 Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin

JMLR 2010 Training and Testing Low-Degree Polynomial Data Mappings via Linear SVM Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin

ICML 2008 A Dual Coordinate Descent Method for Large-Scale Linear SVM Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan

JMLR 2008 Coordinate Descent Method for Large-Scale L2-Loss Linear Support Vector Machines Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin

MLOSS 2008 LIBLINEAR: A Library for Large Linear Classification Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin