Identify Cross-Selling Opportunities via Hybrid Classifier. - Dahong Qiu; Ye Wang; Bin Bi (Int. J. Data Warehous. Min., 2008)

Collaborative resource discovery in social tagging systems. - Bin Bi; Lifeng Shang; Ben Kao (CIKM, 2009)

CubeLSI: An effective and efficient method for searching resources in social tagging systems. - Bin Bi; Sau Dan Lee; Ben Kao; Reynold Cheng (ICDE, 2011)

DQR: a probabilistic approach to diversified query recommendation. - Ruirui Li; Ben Kao; Bin Bi; Reynold Cheng; Eric Lo 001 (CIKM, 2012)

Automatically generating descriptions for resources by tag modeling. - Bin Bi; Junghoo Cho (CIKM, 2013)

Incorporating popularity in topic models for social network analysis. - Youngchul Cha; Bin Bi; Chu-Cheng Hsieh; Junghoo Cho (SIGIR, 2013)

Inferring the demographics of search users: social data meets search queries. - Bin Bi; Milad Shokouhi; Michal Kosinski; Thore Graepel (WWW, 2013)

Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services. - Bin Bi; Ben Kao; Chang Wan; Junghoo Cho (KDD, 2014)

Scalable topic-specific influence analysis on microblogs. - Bin Bi; Yuanyuan Tian 001; Yannis Sismanis; Andrey Balmin; Junghoo Cho (WSDM, 2014)

A universal topic framework (UniZ) and its application in online search. - Youngchul Cha; Keng-hao Chang; Hari Bommaganti; Ye Chen; Tak W. Yan; Bin Bi; Junghoo Cho (SAC, 2015)

Learning to Recommend Related Entities to Search Users. - Bin Bi; Hao Ma 001; Bo-June Paul Hsu; Wei Chu; Kuansan Wang; Junghoo Cho (WSDM, 2015)

Bayesian Modeling for Analyzing Online Content and Users. - Bin Bi (2015)

Modeling a Retweet Network via an Adaptive Bayesian Approach. - Bin Bi; Junghoo Cho (WWW, 2016)

KeyVec: Key-semantics Preserving Document Representations. - Bin Bi; Hao Ma (CoRR, 2017)

A Deep Cascade Model for Multi-Document Reading Comprehension. - Ming Yan 008; Jiangnan Xia; Chen Wu 006; Bin Bi; Zhongzhou Zhao; Ji Zhang 011; Luo Si; Rui Wang 005; Wei Wang 225; Haiqing Chen (AAAI, 2019)

Incorporating External Knowledge into Machine Reading for Generative Question Answering. - Bin Bi; Chen Wu 006; Ming Yan 008; Wei Wang 225; Jiangnan Xia; Chenliang Li (EMNLP/IJCNLP (1), 2019)

IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. - Ming Yan 008; Chenliang Li; Chen Wu 006; Bin Bi; Wei Wang 225; Jiangnan Xia; Luo Si (TREC, 2019)

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. - Wei Wang 225; Bin Bi; Ming Yan 008; Chen Wu 006; Zuyi Bao; Liwei Peng; Luo Si (CoRR, 2019)

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. - Xingyi Cheng; Weidi Xu; Kunlong Chen; Wei Wang 225; Bin Bi; Ming Yan 008; Chen Wu 006; Luo Si; Wei Chu; Taifeng Wang (CoRR, 2019)

Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. - Bin Bi; Chen Wu 006; Ming Yan 008; Wei Wang 225; Jiangnan Xia; Chenliang Li (AAAI, 2020)

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. - Bin Bi; Chenliang Li; Chen Wu 006; Ming Yan 008; Wei Wang 225; Songfang Huang; Fei Huang 002; Luo Si (EMNLP (1), 2020)

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. - Wei Wang 225; Bin Bi; Ming Yan 008; Chen Wu 006; Jiangnan Xia; Zuyi Bao; Liwei Peng; Luo Si (ICLR, 2020)

Latent Template Induction with Gumbel-CRFs. - Yao Fu; Chuanqi Tan; Bin Bi; Mosha Chen; Yansong Feng 002; Alexander M. Rush (NeurIPS, 2020)

VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation. - Fuli Luo; Wei Wang 225; Jiahao Liu; Yijia Liu; Bin Bi; Songfang Huang; Fei Huang 002; Luo Si (CoRR, 2020)

A Unified Pretraining Framework for Passage Ranking and Expansion. - Ming Yan 008; Chenliang Li; Bin Bi; Wei Wang 225; Songfang Huang (AAAI, 2021)

StructuralLM: Structural Pre-training for Form Understanding. - Chenliang Li; Bin Bi; Ming Yan 008; Wei Wang 225; Songfang Huang; Fei Huang 002; Luo Si (ACL/IJCNLP (1), 2021)

Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. - Chenliang Li; Bin Bi; Ming Yan 008; Wei Wang 225; Songfang Huang (ACL/IJCNLP (2), 2021)

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation. - Fuli Luo; Wei Wang 225; Jiahao Liu; Yijia Liu; Bin Bi; Songfang Huang; Fei Huang 002; Luo Si (ACL/IJCNLP (1), 2021)

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. - Haiyang Xu 001; Ming Yan 008; Chenliang Li; Bin Bi; Songfang Huang; Wenming Xiao; Fei Huang 002 (ACL/IJCNLP (1), 2021)

AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios. - Guohai Xu; Yan Shao; Chenliang Li; Feng-Lin Li; Bin Bi; Ji Zhang 011; Haiqing Chen (SIGIR, 2021)

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels. - Chenliang Li; Ming Yan 008; Haiyang Xu 001; Fuli Luo; Wei Wang 225; Bin Bi; Songfang Huang (CoRR, 2021)

Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training. - Ming Yan 008; Haiyang Xu 001; Chenliang Li; Bin Bi; Junfeng Tian; Min Gui; Wei Wang 225 (CoRR, 2021)

Achieving Human Parity on Visual Question Answering. - Ming Yan 008; Haiyang Xu 001; Chenliang Li; Junfeng Tian; Bin Bi; Wei Wang 225; Weihua Chen; Xianzhe Xu; Fan Wang 019; Zheng Cao 003; Zhicheng Zhang; Qiyu Zhang; et al. (CoRR, 2021)

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. - Chaoya Jiang; Haiyang Xu 001; Chenliang Li; Ming Yan 008; Wei Ye 004; Shikun Zhang; Bin Bi; Songfang Huang (EMNLP, 2022)

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. - Chenliang Li; Haiyang Xu 001; Junfeng Tian; Wei Wang 225; Ming Yan 008; Bin Bi; Jiabo Ye; He Chen; Guohai Xu; Zheng Cao 003; Ji Zhang 011; Songfang Huang; et al. (EMNLP, 2022)

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. - Chenliang Li; Haiyang Xu 001; Junfeng Tian; Wei Wang 225; Ming Yan 008; Bin Bi; Jiabo Ye; Hehong Chen; Guohai Xu; Zheng Cao 003; Ji Zhang 011; Songfang Huang; et al. (CoRR, 2022)

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. - Chaoya Jiang; Haiyang Xu 001; Wei Ye 004; Qinghao Ye; Chenliang Li; Ming Yan 008; Bin Bi; Shikun Zhang; Fei Huang 002; Songfang Huang (ICCV, 2023)

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. - Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Yaya Shi; Jiabo Ye; Yuanhong Xu; Chenliang Li; Bin Bi; Qi Qian 001; Wei Wang 225; Guohai Xu; Ji Zhang 011; et al. (ICML, 2023)

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. - Haoyu Wang 004; Ruirui Li 002; Haoming Jiang; Zhengyang Wang; Xianfeng Tang; Bin Bi; Monica Xiao Cheng; Bing Yin; Yaqing Wang 001; Tuo Zhao; Jing Gao 004 (KDD, 2023)

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment. - Chaoya Jiang; Haiyang Xu 001; Wei Ye 004; Qinghao Ye; Chenliang Li; Ming Yan 008; Bin Bi; Shikun Zhang; Fei Huang 002; Ji Zhang 011 (ACM Multimedia, 2023)

Achieving Human Parity on Visual Question Answering. - Ming Yan 008; Haiyang Xu 001; Chenliang Li; Junfeng Tian; Bin Bi; Wei Wang 225; Xianzhe Xu; Ji Zhang 011; Songfang Huang; Fei Huang 002; Luo Si; Rong Jin 001 (ACM Trans. Inf. Syst., 2023)

PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning. - Shiva Kumar Pentyala; Zhichao Wang; Bin Bi; Kiran Ramnath; Xiang-Bo Mao; Regunathan Radhakrishnan; Sitaram Asur; Na Claire Cheng (CoRR, 2024)

A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More. - Zhichao Wang; Bin Bi; Shiva Kumar Pentyala; Kiran Ramnath; Sougata Chaudhuri; Shubham Mehrotra; Zixu James Zhu; Xiang-Bo Mao; Sitaram Asur; Na Claire Cheng (CoRR, 2024)

UNA: Unifying Alignments of RLHF/PPO, DPO and KTO by a Generalized Implicit Reward Function. - Zhichao Wang; Bin Bi; Can Huang; Shiva Kumar Pentyala; Zixu James Zhu; Sitaram Asur; Na Claire Cheng (CoRR, 2024)

UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function. - Zhichao Wang; Bin Bi; Zixu Zhu; Xiang-Bo Mao; Jun Wang; Shiyu Wang (CoRR, 2024)

Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models. - Aliyah R. Hsu; James Zhu; Zhichao Wang; Bin Bi; Shubham Mehrotra; Shiva K. Pentyala; Katherine Tan; Xiang-Bo Mao; Roshanak Omrani; Sougata Chaudhuri; Regunathan Radhakrishnan; Sitaram Asur; et al. (CoRR, 2024)

Diversity Enhances an LLM's Performance in RAG and Long-context Task. - Zhichao Wang; Bin Bi; Yanqi Luo; Sitaram Asur; Claire Na Cheng (CoRR, 2025)