Zhenwei (Joseph) Tang Ph.D. Candidate Department of Computer Science University of Toronto josephtang [at] cs.toronto.edu

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Also on my Google Scholar profile. (Bold denotes my name.)

1. Chessformer: A Unified Architecture for Chess Modeling
   D Monroe, G Eilender, P Chalmers, Z Tang, A Anderson
   International Conference on Learning Representations (ICLR 2026)
   
2. SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?
   M Tian, Z Wang, B Yang, Z Tang, K Zhu, H Dong, H Li, X Xie, G Wang, et al.
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)
   
3. LLM Safety From Within: Detecting Harmful Content with Internal Representations
   D Jiao, Y Liu, Y Yuan, Z Tang, L Du, H Wu, A Anderson
   Annual Meeting of the Association for Computational Linguistics (ACL 2026)
   
4. Grounded Chess Reasoning in Language Models via Master Distillation
   Z Tang, Q Wen, S Grief-Albert, Y Elgabra, B Yang, H Dong, A Anderson
   arXiv preprint
   
5. Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning
   Z Tang, A Inamdar, A Anderson, R Zemel
   arXiv preprint
   
6. ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement
   D Jiao, Q Wen, B Yang, Z Tang, A Anderson
   arXiv preprint
   
7. RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator
   Z Tang, Z Liu, R Hosseinzadeh, T Wu, K Golestan, JC Cresswell
   arXiv preprint
   
8. Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
   R Surana, G Mundada, X Jiang, C Wang, Z Tang, D Jiao, Z Huang, et al.
   arXiv preprint
   
9. MINER: Mining Multimodal Internal Representation for Efficient Retrieval
   W Li, R Song, Z Li, H Liu, G Zhang, D Jiao, Z Tang, B He, H Wu, X Liu, et al.
   arXiv preprint
   

1. SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models
   Z Tang, D Jiao, B Yang, A Anderson
   Conference on Language Modeling (COLM 2025)
   
2. Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess and LLMs
   Z Tang, D Jiao, E Xue, R McIlroy-Young, J Kleinberg, S Sen, A Anderson
   Transactions on Machine Learning Research (TMLR 2025)
   
3. ChessQA: Evaluating Large Language Models for Chess Understanding
   Q Wen, Z Tang, A Anderson
   arXiv preprint
   

1. Maia-2: A Unified Model for Human-AI Alignment in Chess
   Z Tang, D Jiao, R McIlroy-Young, J Kleinberg, S Sen, A Anderson
   Conference on Neural Information Processing Systems (NeurIPS 2024)
   
2. SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
   D Jiao, Y Liu, Z Tang, D Matter, J Pfeffer, A Anderson
   Findings of the Association for Computational Linguistics (ACL 2024 Findings)
   
3. Predicting Protein Functions Using Positive-Unlabeled Ranking with Ontology-based Priors
   F Zhapa-Camacho, Z Tang, M Kulmanov, R Hoehndorf
   Bioinformatics (ISMB 2024)
   

1. Neural Multi-hop Logical Query Answering with Concept-level Answers
   Z Tang, S Pei, X Peng, F Zhuang, X Zhang, R Hoehndorf
   International Semantic Web Conference (ISWC 2023) — Best Paper Candidate
   
2. LogicRec: Recommendation with Users' Logical Requirements
   Z Tang, G Floto, A Toroghi, S Pei, X Zhang, S Sanner
   International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)
   
3. Bayesian Knowledge-driven Critiquing with Indirect Evidence
   A Toroghi, G Floto, Z Tang, S Sanner
   International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)
   
4. DiffuDetox: A Mixed Diffusion Model for Text Detoxification
   G Floto, MMA Pour, P Farinneya, Z Tang, A Pesaranghader, M Bharadwaj, S Sanner
   Findings of the Association for Computational Linguistics (ACL 2023 Findings)
   
5. Customized Conversational Recommender Systems
   S Li, Y Zhu, R Xie, Z Tang, Z Zhang, F Zhuang, Q He, H Xiong
   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023)
   

1. Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
   Z Tang, S Pei, Z Zhang, Y Zhu, F Zhuang, R Hoehndorf, X Zhang
   International Joint Conference on Artificial Intelligence (IJCAI 2022)
   
2. Personalized Transfer of User Preferences for Cross-domain Recommendation
   Y Zhu, Z Tang, Y Liu, F Zhuang, R Xie, X Zhang, L Lin, Q He
   ACM International Conference on Web Search and Data Mining (WSDM 2022)
   
3. Self-Supervised Learning for Conversational Recommendation
   S Li, R Xie, Y Zhu, F Zhuang, Z Tang, WX Zhao, Q He
   Information Processing & Management (IP&M)
   
4. FALCON: Faithful Neural Semantic Entailment over ALC Ontologies
   Z Tang, T Hinnerichs, X Peng, X Zhang, R Hoehndorf
   arXiv preprint
   
5. Description Logic EL++ Embeddings with Intersectional Closure
   X Peng, Z Tang, M Kulmanov, K Niu, R Hoehndorf
   arXiv preprint
   

1. Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning
   J Zhou, Z Tang, M Zhao, X Ge, F Zhuang, M Zhou, L Zou, C Yang, H Xiong
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020)
   

Last update: June 2026.