Hanjun Dai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
10
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. | Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai |
| 2025 | ICLR | Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. | Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai |
| 2024 | ICML | Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models. | Songtao Liu, Hanjun Dai, Yue Zhao, Peng Liu |
| 2023 | ACL | Better Zero-Shot Reasoning with Self-Adaptive Prompting. | Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan . Arik, Tomas Pfister |
| 2023 | AISTATS | Learning to Optimize with Stochastic Dominance Constraints. | Hanjun Dai, Yuan Xue, Niao He, Yixin Wang, Na Li, Dale Schuurmans, Bo Dai |
| 2023 | AISTATS | Discrete Langevin Samplers via Wasserstein Gradient Flow. | Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans |
| 2023 | EMNLP | On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. | Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei |
| 2023 | EMNLP | SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. | Ruoxi Sun, Sercan . Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister |
| 2023 | EMNLP | Universal Self-Adaptive Prompting. | Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan . Arik, Tomas Pfister |
| 2023 | EMNLP | DocumentNet: Bridging the Data Gap in Document Pre-training. | Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei |
| 2023 | ICLR | Any-scale Balanced Samplers for Discrete Space. | Haoran Sun, Bo Dai, Charles Sutton, Dale Schuurmans, Hanjun Dai |
| 2023 | ICLR | Score-based Continuous-time Discrete Diffusion Models. | Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai |
| 2023 | ICML | Gradient-Free Structured Pruning with Unlabeled Data. | Azade Nova, Hanjun Dai, Dale Schuurmans |
| 2023 | ICML | Revisiting Sampling for Combinatorial Optimization. | Haoran Sun, Katayoon Goshvadi, Azade Nova, Dale Schuurmans, Hanjun Dai |
| 2022 | ICLR | Neural Stochastic Dual Dynamic Programming. | Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai |
| 2022 | ICLR | CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation. | Pardis Pashakhanloo, Aaditya Naik, Yuepeng Wang, Hanjun Dai, Petros Maniatis, Mayur Naik |
| 2022 | ICLR | CrossBeam: Learning to Search in Bottom-Up Program Synthesis. | Kensen Shi, Hanjun Dai, Kevin Ellis, Charles Sutton |
| 2022 | ICLR | Path Auxiliary Proposal for MCMC in Discrete Space. | Haoran Sun, Hanjun Dai, Wei Xia, Arun Ramamurthy |
| 2022 | ICML | Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization. | Hanjun Dai, Mengjiao Yang, Yuan Xue, Dale Schuurmans, Bo Dai |
| 2022 | KDD | SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. | Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans |
| 2021 | ICLR | Molecule Optimization by Explainable Evolution. | Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song |
| 2021 | ICLR | BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration. | Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton, Hanjun Dai |
| 2021 | ICML | SpreadsheetCoder: Formula Prediction from Semi-structured Context. | Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou |
| 2021 | ICML | LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. | Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou |
| 2020 | CAV | Code2Inv: A Deep Learning Framework for Program Verification. | Xujie Si, Aaditya Naik, Hanjun Dai, Mayur Naik, Le Song |
| 2020 | ICLR | Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs. | Elizabeth Dinella, Hanjun Dai, Ziyang Li, Mayur Naik, Le Song, Ke Wang |
| 2020 | ICML | Learning To Stop While Learning To Predict. | Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song |
| 2020 | ICML | Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search. | Binghong Chen, Chengtao Li, Hanjun Dai, Le Song |
| 2020 | ICML | Scalable Deep Generative Modeling for Sparse Graphs. | Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans |
| 2020 | ICML | Energy-Based Processes for Exchangeable Data. | Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans |
| 2019 | AISTATS | Kernel Exponential Family Estimation via Doubly Dual Embedding. | Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He |
| 2019 | ICLR | Learning a Meta-Solver for Syntax-Guided Program Synthesis. | Xujie Si, Yuan Yang, Hanjun Dai, Mayur Naik, Le Song |
| 2019 | ICML | Particle Flow Bayes' Rule. | Xinshi Chen, Hanjun Dai, Le Song |
| 2019 | ICML | CompILE: Compositional Imitation Learning and Execution. | Thomas Kipf, Yujia Li, Hanjun Dai, Vincius Flores Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia |
| 2018 | AAAI | Variational Reasoning for Question Answering With Knowledge Graph. | Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander J. Smola, Le Song |
| 2018 | ICLR | Additive Margin Softmax for Face Verification. | Feng Wang, Weiyang Liu, Hanjun Dai, Haijun Liu, Jian Cheng |
| 2018 | ICLR | Syntax-Directed Variational Autoencoder for Structured Data. | Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song |
| 2018 | ICML | Learning Steady-States of Iterative Algorithms over Graphs. | Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alexander J. Smola, Le Song |
| 2018 | ICML | Adversarial Attack on Graph Structured Data. | Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song |
| 2017 | ICLR | Recurrent Hidden Semi-Markov Model. | Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song |
| 2017 | ICML | Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs. | Rakshit S. Trivedi, Hanjun Dai, Yichen Wang, Le Song |
| 2016 | AISTATS | Provable Bayesian Inference via Particle Mirror Descent. | Bo Dai, Niao He, Hanjun Dai, Le Song |
| 2016 | ICML | Discriminative Embeddings of Latent Variable Models for Structured Data. | Hanjun Dai, Bo Dai, Le Song |
| 2016 | KDD | Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. | Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song |
| 2016 | RecSys | Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. | Hanjun Dai, Yichen Wang, Rakshit S. Trivedi, Le Song |
| 2014 | AAAI | Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. | Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu |
| 2014 | COLING | A Probabilistic Model for Learning Multi-Prototype Word Embeddings. | Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, Tie-Yan Liu |