Haochen Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
21
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models. | Tianchun Li, Haochen Liu, Vishwa Pardeshi, Xingchen Wang, Tianci Liu, Huijun Zhao, Wei Fan, Jing Gao |
| 2026 | CASC | On Sub-Algorithm Selection for Symbolic Integration: An Empirical Comparison of TreeLSTM and Transformer. | Hao Du, Haochen Liu |
| 2026 | SENSYS | NeRC: Neural Ranging Correction through Differentiable Moving Horizon Location Estimation. | Xu Weng, Keck Voon Ling, Haochen Liu, Bingheng Wang, Kun Cao |
| 2025 | ACL | Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. | Haochen Liu, Song Wang, Chen Chen, Jundong Li |
| 2025 | CIKM | MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings. | Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li |
| 2025 | VISIGRAPP | Spiideo SoccerNet SynLoc: Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data. | Hkan Ard, Mikael G. Nilsson, Anthony Cioppa, Floriane Magera, Silvio Giancola, Haochen Liu, Bernard Ghanem, Marc Van Droogenbroeck |
| 2024 | ACL | Knowledge Graph-Enhanced Large Language Models via Path Selection. | Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li |
| 2024 | EACL | Self-training Strategies for Sentiment Analysis: An Empirical Study. | Haochen Liu, SaiKrishna Rallabandi, Yijing Wu, Parag Dakle, Preethi Raghavan |
| 2024 | FUSION | Towards End-to-End GPS Localization with Neural Pseudorange Correction. | Xu Weng, Keck Voon Ling, Haochen Liu, Kun Cao |
| 2024 | NAACL | Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. | Haochen Liu, Song Wang, Chen Chen, Jundong Li |
| 2023 | ICCV | GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. | Zhiyu Huang, Haochen Liu, Chen Lv |
| 2023 | ICRA | Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving. | Haochen Liu, Zhiyu Huang, Chen Lv |
| 2023 | IJCNN | Dynamic Edge Caching via Online Meta-RL. | Yinan Mao, Shiji Zhou, Haochen Liu, Zhi Wang, Wenwu Zhu |
| 2023 | WWW | Fairly Adaptive Negative Sampling for Recommendations. | Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li |
| 2023 | WWW | MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. | Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu |
| 2022 | ACL | Toward Annotator Group Bias in Crowdsourcing. | Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang |
| 2022 | CIKM | PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. | Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang |
| 2022 | COLING | Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference. | Jamell Dacon, Haochen Liu, Jiliang Tang |
| 2022 | DSAA | Enhancing Individual Fairness through Propensity Score Matching. | Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He |
| 2022 | WWW | Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. | Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng |
| 2022 | WSDM | Trustworthy Machine Learning: Fairness and Robustness. | Haochen Liu |
| 2021 | ACL | The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. | Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang |
| 2021 | ICDM | AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. | Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang |
| 2021 | KDD | AutoLoss: Automated Loss Function Search in Recommendations. | Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang |
| 2021 | WWW | Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles. | Jamell Dacon, Haochen Liu |
| 2021 | WWW | AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. | Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long |
| 2020 | AIED | Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. | Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu |
| 2020 | COLING | Does Gender Matter? Towards Fairness in Dialogue Systems. | Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang |
| 2020 | COLING | Personalized Multimodal Feedback Generation in Education. | Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang |
| 2020 | EMNLP | Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. | Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang |
| 2020 | SIGIR | Automated Embedding Size Search in Deep Recommender Systems. | Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang |
| 2017 | IJCAI | Effective Representing of Information Network by Variational Autoencoder. | Hang Li, Haozheng Wang, Zhenglu Yang, Haochen Liu |