Boosting in the presence of outliers: adaptive classification with non-convex loss functions. - Alexander Hanbo Li; Jelena Bradic (CoRR, 2015)

Forest-type Regression with General Losses and Robust Forest. - Alexander Hanbo Li; Andrew Martin (ICML, 2017)

Censored Quantile Regression Forests. - Alexander Hanbo Li; Jelena Bradic (CoRR, 2019)

Knowledge Enhanced Attention for Robust Natural Language Inference. - Alexander Hanbo Li; Abhinav Sethy (CoRR, 2019)

Censored Quantile Regression Forest. - Alexander Hanbo Li; Jelena Bradic (AISTATS, 2020)

Semi-Supervised Learning for Text Classification by Layer Partitioning. - Alexander Hanbo Li; Abhinav Sethy (ICASSP, 2020)

Decomposed Adversarial Learned Inference. - Alexander Hanbo Li; Yaqing Wang 001; Changyou Chen; Jing Gao 004 (CoRR, 2020)

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. - Peng Shi 010; Patrick Ng; Zhiguo Wang; Henghui Zhu; Alexander Hanbo Li; Jun Wang 122; Cícero Nogueira dos Santos; Bing Xiang (AAAI, 2021)

Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. - Alexander Hanbo Li; Patrick Ng; Peng Xu; Henghui Zhu; Zhiguo Wang; Bing Xiang (ACL/IJCNLP (1), 2021)

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation. - Kaize Ding; Dingcheng Li; Alexander Hanbo Li; Xing Fan; Chenlei Guo; Yang Liu; Huan Liu 001 (EMNLP (1), 2021)

Contextual Rephrase Detection for Reducing Friction in Dialogue Systems. - Zhuoyi Wang; Saurabh Gupta 008; Jie Hao; Xing Fan; Dingcheng Li; Alexander Hanbo Li; Chenlei Guo (EMNLP (1), 2021)

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. - Peng Shi 010; Patrick Ng; Feng Nan; Henghui Zhu; Jun Wang 122; Jiarong Jiang; Alexander Hanbo Li; Rishav Chakravarti; Donald Weidner; Bing Xiang; Zhiguo Wang (AAAI, 2022)

Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. - Jun Wang 122; Patrick Ng; Alexander Hanbo Li; Jiarong Jiang; Zhiguo Wang; Bing Xiang; Ramesh Nallapati; Sudipta Sengupta (EMNLP (Industry Track), 2022)

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. - Yiyun Zhao; Jiarong Jiang; Yiqun Hu; Wuwei Lan; Henry Zhu; Anuj Chauhan; Alexander Hanbo Li; Lin Pan 003; Jun Wang 122; Chung-Wei Hang; Sheng Zhang 012; Marvin Dong; et al. (CoRR, 2022)

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. - Xingyu Fu; Sheng Zhang 029; Gukyeong Kwon; Pramuditha Perera; Henghui Zhu; Yuhao Zhang 004; Alexander Hanbo Li; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Patrick Ng; Dan Roth 001; et al. (ACL (Findings), 2023)

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. - Yiqun Hu; Yiyun Zhao; Jiarong Jiang; Wuwei Lan; Henghui Zhu; Anuj Chauhan; Alexander Hanbo Li; Lin Pan 003; Jun Wang 122; Chung-Wei Hang; Sheng Zhang 029; Jiang Guo; et al. (ACL (Findings), 2023)

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. - Alexander Hanbo Li; Mingyue Shang; Evangelia Spiliopoulou; Jie Ma 005; Patrick Ng; Zhiguo Wang; Bonan Min; William Yang Wang; Kathleen R. McKeown; Vittorio Castelli; Dan Roth 001; Bing Xiang (ACL (1), 2023)

Benchmarking Diverse-Modal Entity Linking with Generative Models. - Sijia Wang; Alexander Hanbo Li; Henghui Zhu; Sheng Zhang 029; Pramuditha Perera; Chung-Wei Hang; Jie Ma 005; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Bing Xiang; Patrick Ng (ACL (Findings), 2023)

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. - Shuaichen Chang; Jun Wang 122; Mingwen Dong; Lin Pan 003; Henghui Zhu; Alexander Hanbo Li; Wuwei Lan; Sheng Zhang 029; Jiarong Jiang; Joseph Lilien; Steve Ash; William Yang Wang; et al. (ICLR, 2023)

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. - Donghan Yu; Sheng Zhang 029; Patrick Ng; Henghui Zhu; Alexander Hanbo Li; Jun Wang 122; Yiqun Hu; William Yang Wang; Zhiguo Wang; Bing Xiang (ICLR, 2023)

UNITE: A Unified Benchmark for Text-to-SQL Evaluation. - Wuwei Lan; Zhiguo Wang; Anuj Chauhan; Henghui Zhu; Alexander Hanbo Li; Jiang Guo; Sheng Zhang 029; Chung-Wei Hang; Joseph Lilien; Yiqun Hu; Lin Pan 003; Mingwen Dong; et al. (CoRR, 2023)

Benchmarking Diverse-Modal Entity Linking with Generative Models. - Sijia Wang; Alexander Hanbo Li; Henry Zhu; Sheng Zhang 012; Chung-Wei Hang; Pramuditha Perera; Jie Ma 005; William Wang 001; Zhiguo Wang; Vittorio Castelli; Bing Xiang; Patrick Ng (CoRR, 2023)

Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models. - Naihao Deng; Sheng Zhang 029; Henghui Zhu; Shuaichen Chang; Jiani Zhang 003; Alexander Hanbo Li; Chung-Wei Hang; Hideo Kobayashi; Yiqun Hu; Patrick Ng (CoRR, 2025)

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation. - He Wang; Alexander Hanbo Li; Yiqun Hu; Sheng Zhang 029; Hideo Kobayashi; Jiani Zhang 003; Henry Zhu; Chung-Wei Hang; Patrick Ng (CoRR, 2025)