Model and Algorithm for Roller Pass Matching Problem. - Zhiwei Luan; Tieke Li; Bailin Wang (ISCID (2), 2016)

Estimation of Distribution Algorithm with Machine Learning for Permutation Flowshop Scheduling with Total Tardiness Criterion. - Liying Hao; Tieke Li; Bailin Wang; Zhiwei Luan (ISCID (2), 2017)

Job Rejection Strategies in Genetic Algorithm for Permutation Flowshop Scheduling Problem with Rejection. - Bailin Wang; Haifeng Wang; Tieke Li (ISCID (2), 2017)

Hybrid Metaheuristic for Multi-objective Steelmaking-Continuous Casting Scheduling. - Shuaipeng Yuan; Tieke Li; Bailin Wang (ISCID (1), 2017)

Learning Latent Opinions for Aspect-level Sentiment Classification. - Bailin Wang; Wei Lu 011 (AAAI, 2018)

Neural Segmental Hypergraphs for Overlapping Mention Recognition. - Bailin Wang; Wei Lu 011 (EMNLP, 2018)

A Neural Transition-based Model for Nested Mention Recognition. - Bailin Wang; Wei Lu 011; Yu Wang 091; Hongxia Jin (EMNLP, 2018)

Generation of Dispatching Rules for Hot Rolling Batch Scheduling of Seamless Steel Tube Based on Genetic Programming. - Wang Yang; Tieke Li; Bailin Wang (ISCID (2), 2018)

Permutation flowshop scheduling with time lag constraints and makespan criterion. - Bailin Wang; Kai Huang 003; Tieke Li (Comput. Ind. Eng., 2018)

Two-stage hybrid flowshop scheduling with simultaneous processing machines. - Bailin Wang; Kai Huang 003; Tieke Li (J. Sched., 2018)

Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities. - Bailin Wang; Wei Lu 011 (EMNLP/IJCNLP (1), 2019)

Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. - Bailin Wang; Ivan Titov 001; Mirella Lapata (EMNLP/IJCNLP (1), 2019)

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. - Bailin Wang; Richard Shin; Xiaodong Liu 003; Oleksandr Polozov; Matthew Richardson (ACL, 2020)

Predicting Internet of Things Data Traffic Through LSTM and Autoregressive Spectrum Analysis. - Yuhong Li; Di Jin; Bailin Wang; Xiang Su; Jukka Riekki; Chao Sun; Hanyu Wei; Hao Wang; Lei Han (NOMS, 2020)

A co-evolutionary genetic algorithm for the two-machine flow shop group scheduling problem with job-related blocking and transportation times. - Shuaipeng Yuan; Tieke Li; Bailin Wang (Expert Syst. Appl., 2020)

Meta-Learning to Compositionally Generalize. - Henry Conklin; Bailin Wang; Kenny Smith; Ivan Titov 001 (ACL/IJCNLP (1), 2021)

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. - Tao Yu 009; Chien-Sheng Wu; Xi Victoria Lin; Bailin Wang; Yi Chern Tan; Xinyi Yang 002; Dragomir R. Radev; Richard Socher; Caiming Xiong (ICLR, 2021)

Heuristic algorithm of steel coil cutting with manufacturability. - Zhongxia Gong; Bailin Wang; Wenxin Zhang 001; Tieke Li; Yang Wang (ISCID, 2021)

Genetic Programming-based Heuristic Generation Algorithm for Steelmaking - Continuous Casting Scheduling. - Haoran Lv; Bailin Wang; Wenxin Zhang 001; Tieke Li (ISCID, 2021)

Improved Ant Colony System for Cast Planning Problem with Consideration of On-line Mould Width Adjustment. - Yang Wang; Wenxin Zhang 001; Tieke Li; Zhongxia Gong; Bailin Wang (ISCID, 2021)

An optimization method for rush order insertion rescheduling problem under the constraints of hot rolling process. - Yidi Wang; Wenxin Zhang 001; Tieke Li; Bailin Wang (ISCID, 2021)

Research on Steelmaking-Continuous Casting Scheduling Problem with Uncertain Processing Times. - Jiechen Yan; Wenxin Zhang 001; Tieke Li; Bailin Wang (ISCID, 2021)

Multi-load AGVs scheduling algorithm in automated sorting warehouse. - Nana Yu; Tieke Li; Bailin Wang (ISCID, 2021)

Meta-Learning for Domain Generalization in Semantic Parsing. - Bailin Wang; Mirella Lapata; Ivan Titov 001 (NAACL-HLT, 2021)

Learning from Executions for Semantic Parsing. - Bailin Wang; Mirella Lapata; Ivan Titov 001 (NAACL-HLT, 2021)

Learning to Synthesize Data for Semantic Parsing. - Bailin Wang; Wenpeng Yin 001; Xi Victoria Lin; Caiming Xiong (NAACL-HLT, 2021)

Structured Reordering for Modeling Latent Alignments in Sequence Transduction. - Bailin Wang; Mirella Lapata; Ivan Titov 001 (NeurIPS, 2021)

The Impact of Customer Halal Supply Chain Knowledge on Customer Halal Fashion Purchase Intention. - Eli Sumarliah; Tieke Li; Bailin Wang; Anitha Moosa; Irene Sackey (Inf. Resour. Manag. J., 2021)

A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times. - Shuaipeng Yuan; Tieke Li; Bailin Wang (J. Intell. Manuf., 2021)

Hierarchical Phrase-Based Sequence-to-Sequence Learning. - Bailin Wang; Ivan Titov 001; Jacob Andreas; Yoon Kim (EMNLP, 2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

Algorithm Comparison for the Order Grouping Problem with Delivery Factors. - Jia-Qi Cai; Bailin Wang; Tie-Ke Li; Wen-Xin Zhang (ISCID, 2022)

Multi-population genetic algorithm for seamless steel tube blank design considering delivery time. - Lu Chen; Bailin Wang; Shuaipeng Yuan; Tieke Li; Wenxin Zhang 001 (ISCID, 2022)

Hyper-heuristic genetic algorithm for hybrid flow shop scheduling problem with unrelated parallel machines. - Siyu Liu; Tieke Li; Bailin Wang; Wenxin Zhang 001 (ISCID, 2022)

DQN-based online scheduling algorithm for hybrid flow shop to minimize the total tardiness. - Xinrong Wang; Tieke Li; Bailin Wang; Wenxin Zhang 001 (ISCID, 2022)

A Prediction Method of Order Completion Time Based on BP-SVR. - Jiahui Yu; Tieke Li; Bailin Wang; Wenxin Zhang 001; Zhuolun Zhang (ISCID, 2022)

Comparison of temperature control time prediction models for wide and thick plates based on machine learning. - Zhuolun Zhang; Tieke Li; Bailin Wang; Shuaipeng Yuan (ISCID, 2022)

Multi-agent Model of AGVs Online Scheduling in Automated Sorting Warehouse. - Bingxiao Zhang; Bailin Wang; Wenxin Zhang 001; Tieke Li (ISCID, 2022)

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. - Lihan Wang; Bowen Qin; Binyuan Hui; Bowen Li 002; Min Yang 007; Bailin Wang; Binhua Li; Jian Sun 021; Fei Huang 002; Luo Si; Yongbin Li (KDD, 2022)

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. - Lihan Wang; Bowen Qin; Binyuan Hui; Bowen Li 002; Min Yang 007; Bailin Wang; Binhua Li; Fei Huang 002; Luo Si; Yongbin Li (CoRR, 2022)

Blockchain-Empowered Halal Fashion Traceability System in Indonesia. - Eli Sumarliah; Tieke Li; Bailin Wang; Fauziyah Fauziyah; Indriya Indriya (Int. J. Inf. Syst. Supply Chain Manag., 2022)

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). - Daking Rai; Yilun Zhou; Bailin Wang; Ziyu Yao 002 (AAAI, 2023)

Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques. - Daking Rai; Bailin Wang; Yilun Zhou; Ziyu Yao 002 (ACL (2), 2023)

An Investigation of LLMs' Inefficacy in Understanding Converse Relations. - Chengwen Qi; Bowen Li 002; Binyuan Hui; Bailin Wang; Jinyang Li 003; Jinwang Wu; Yuanjun Laili (EMNLP, 2023)

Explain-then-translate: an analysis on improving program translation with self-generated explanations. - Zilu Tang; Mayank Agarwal; Alexander Shypula; Bailin Wang; Derry Wijaya; Jie Chen; Yoon Kim (EMNLP (Findings), 2023)

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. - Jinyang Li 003; Binyuan Hui; Ge Qu; Jiaxi Yang; Binhua Li; Bowen Li 002; Bailin Wang; Bowen Qin; Ruiying Geng; Nan Huo; Xuanhe Zhou; Chenhao Ma 001; et al. (NeurIPS, 2023)

Grammar Prompting for Domain-Specific Language Generation with Large Language Models. - Bailin Wang; Zi Wang; Xuezhi Wang 002; Yuan Cao; Rif A. Saurous; Yoon Kim (NeurIPS, 2023)

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. - Jinyang Li 003; Binyuan Hui; Ge Qu; Binhua Li; Jiaxi Yang; Bowen Li 002; Bailin Wang; Bowen Qin; Rongyu Cao; Ruiying Geng; Nan Huo; Xuanhe Zhou; et al. (CoRR, 2023)

Deep learning-based prediction framework of temperature control time for wide-thick slab hot rolling production. - Zhuolun Zhang; Bailin Wang; Shuaipeng Yuan; Yiren Li; Jiahui Yu; Tieke Li; Xiqing Wang (Expert Syst. Appl., 2023)

Learning to Decode Collaboratively with Multiple Language Models. - Zejiang Shen 001; Hunter Lang; Bailin Wang; Yoon Kim; David A. Sontag (ACL (1), 2024)

Iterative Forward Tuning Boosts In-Context Learning in Language Models. - Jiaxi Yang; Binyuan Hui; Min Yang 007; Bailin Wang; Bowen Li 002; Binhua Li; Fei Huang 002; Yongbin Li (ACL (1), 2024)

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. - Linlu Qiu; Liwei Jiang; Ximing Lu; Melanie Sclar; Valentina Pyatkin; Chandra Bhagavatula; Bailin Wang; Yoon Kim; Yejin Choi 001; Nouha Dziri; Xiang Ren 001 (ICLR, 2024)

GenSim: Generating Robotic Simulation Tasks via Large Language Models. - Lirui Wang; Yiyang Ling; Zhecheng Yuan; Mohit Shridhar; Chen Bao; Yuzhe Qin; Bailin Wang; Huazhe Xu; Xiaolong Wang 004 (ICLR, 2024)

Lemur: Harmonizing Natural Language and Code for Language Agents. - Yiheng Xu; Hongjin Su; Chen Xing; Boyu Mi; Qian Liu; Weijia Shi; Binyuan Hui; Fan Zhou; Yitao Liu; Tianbao Xie; Zhoujun Cheng; Siheng Zhao; et al. (ICLR, 2024)

In-Context Language Learning: Architectures and Algorithms. - Ekin Akyürek; Bailin Wang; Yoon Kim; Jacob Andreas (ICML, 2024)

Gated Linear Attention Transformers with Hardware-Efficient Training. - Songlin Yang; Bailin Wang; Yikang Shen; Rameswar Panda; Yoon Kim (ICML, 2024)

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks. - Zhaofeng Wu; Linlu Qiu; Alexis Ross; Ekin Akyürek; Boyuan Chen 003; Bailin Wang; Najoung Kim; Jacob Andreas; Yoon Kim (NAACL-HLT, 2024)

Gated Slot Attention for Efficient Linear-Time Sequence Modeling. - Yu Zhang 092; Songlin Yang; Rui-Jie Zhu 003; Yue Zhang 004; Leyang Cui; Yiqiao Wang 005; Bolun Wang; Freda Shi; Bailin Wang; Wei Bi; Peng Zhou 017; Guohong Fu (NeurIPS, 2024)

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective. - Yi Ren; Shangmin Guo; Linlu Qiu; Bailin Wang; Danica J. Sutherland (NeurIPS, 2024)

Parallelizing Linear Transformers with the Delta Rule over Sequence Length. - Songlin Yang; Bailin Wang; Yu Zhang; Yikang Shen; Yoon Kim (NeurIPS, 2024)

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs. - Zhongshen Zeng; Yinhong Liu; Yingjia Wan; Jingyao Li; Pengguang Chen; Jianbo Dai; Yuxuan Yao; Rongwu Xu; Zehan Qi; Wanru Zhao; Linling Shen; Jianqiao Lu; et al. (NeurIPS, 2024)

Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models. - Mayank Agarwal; Yikang Shen; Bailin Wang; Yoon Kim; Jie Chen (CoRR, 2024)

Language Model Evolution: An Iterated Learning Perspective. - Yi Ren; Shangmin Guo; Linlu Qiu; Bailin Wang; Danica J. Sutherland (CoRR, 2024)

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models. - Zhongshen Zeng; Yinhong Liu; Yingjia Wan; Jingyao Li; Pengguang Chen; Jianbo Dai; Yuxuan Yao; Rongwu Xu; Zehan Qi; Wanru Zhao; Linling Shen; Jianqiao Lu; et al. (CoRR, 2024)

Reinforcement-learning-based parallel genetic algorithm for the multi-objective hot-rolling scheduling problem of wide-thick slab. - Zhuolun Zhang; Bailin Wang; Shuaipeng Yuan; Yiren Li; Xiqing Wang; Tieke Li (Appl. Soft Comput., 2025)

Energy-efficient single-machine scheduling with group processing features under time-of-use electricity tariffs. - Shuaipeng Yuan; Bailin Wang; Yihan Pei; Tieke Li (Comput. Oper. Res., 2025)

RATTENTION: Towards the Minimal Sliding Window Size in Local-Global Attention Models. - Bailin Wang; Chang Lan; Chong Wang; Ruoming Pang (CoRR, 2025)